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San Marino

  • Population, persons:33,785 (2018)
  • Area, sq km:60
  • GDP per capita, US$:48,888 (2017)
  • GDP, billion current US$:1.6 (2017)
  • GINI index:No data
  • Ease of Doing Business rank:88
All datasets:  A B C D E F G H I J L M N O P Q R S T U V W Y Н П Ч
  • A
    • जुलाई 2016
      Source: Knoema
      Uploaded by: Knoema
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      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition: Adolescent fertility covers live births to women aged 15-19. A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. The adolescent fertility rate is the number of live births to women aged 15-19 per 1000 women aged 15-19. General note: Data on live births come from registers, unless otherwise specified. The adolescent fertility rate is computed by UNECE secretariat. .. - data not available Country: Albania Data refer to age group 0-19. Country: Armenia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Azerbaijan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Belarus Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Bosnia and Herzegovina 1995 : data refer to 1996. Country: Canada Data include Canadian residents temporarily in the United States, but exclude United States residents temporarily in Canada. Country: Cyprus Data cover only the area controlled by the Republic of Cyprus. Country: Estonia Data refer to age group 0-19. Country: Finland Data include nationals temporarily outside the country. Country: Georgia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). 1980-2003 : data refer to age group 15-20. Country: Germany 1980-1990 : data cover only West Germany (Federal Republic of Germany). From 1995 : data refer to reunified Germany, i.e. include the ex-German Democratic Republic (East Germany). Country: Ireland Data are tabulated by date of registration (rather than occurrence) and refer to births registered within one year of occurrence. 2005-2006 : provisional data. Country: Israel Data cover East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. 1980 : data refer to age group 0-19. Country: Kazakhstan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Kyrgyzstan 1980-2003 : data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Latvia Data refer to age group 0-19. Country: Malta Data refer to age group 0-19. Country: Netherlands Data refer to age group 0-19. Country: Norway Age classification is based on year of birth of mother rather than the exact age of mother at birth of child. Country: Poland 1980 : data refer to age group 0-19. Country: Portugal Data refer to resident mothers. Country: Russian Federation Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Serbia Data do not cover Kosovo and Metohija. Data are tabulated by date of registration (rather than occurrence). Country: Turkey 1980-2000: data source is population censuses. From 2001: data are from administrative source. Country: Turkmenistan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Ukraine Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. 2000 : data refer to 1998. 1990 : data refer to age group 0-19. Country: United Kingdom Data are tabulated by date of occurrence for England and Wales and by date of registration for Northern Ireland and Scotland. Country: United States 2000 : data refer to 1999. Country: Uzbekistan Data refer to age group 18-19.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 अप्रैल, 2019
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    • जनवरी 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
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      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • मई 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2019
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    • मार्च 2019
      Source: National Institute of Statistics, Italy
      Uploaded by: Knoema
      Accessed On: 01 अप्रैल, 2019
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      Data source(s) used: Crimes reported to the Judicial authorities by the State Police, Carabinieri and Guardia di Finanza: Are processed the data on felonies and people who were reported by police to the court Other data characteristics: Data referring to social demographic characteristics of alleged offenders could not coincide with data on reports because of the different timing of extraction from police forces database.The sum of the crimes by province could not coincide with the total of the region, and that of the regions with the total Italy, because of the missed precise statement, for some crimes, of the place where they have been committed (or of the region of the committed crime but not of the province).
    • सितम्बर 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 04 सितम्बर, 2019
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      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • जनवरी 2014
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • अगस्त 2015
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 25 मार्च, 2019
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      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
    • जुलाई 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 जुलाई, 2018
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      This table presents data on average monthly earnings converted to a common currency. Data in U.S. dollars are converted from local currency using exchange rates, while data in constant 2011 U.S. dollars are converted using 2011 purchasing power parities (PPPs)   Dataset splitted into below datasets:-   Local Currency (Total) - https://knoema.com/EAR_TEAR_NOC_NB   Local Currency (Men) - https://knoema.com/EAR_MEAR_NOC_NB   Local Currency (Women) - https://knoema.com/EAR_FEAR_NOC_NB   Constant 2011 PPP $ (Total) - https://knoema.com/EAR_4MPT_NOC_NB   Constant 2011 PPP $ (Men) - https://knoema.com/EAR_4MPM_NOC_NB   Constant 2011 PPP $ (Women) - https://knoema.com/EAR_4MPW_NOC_NB
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
  • B
    • अक्तूबर 2018
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 06 मार्च, 2019
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    • नवम्बर 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 01 अप्रैल, 2019
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      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
    • अप्रैल 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2018
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • अगस्त 2019
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 23 अगस्त, 2019
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      Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
    • जुलाई 2012
      Source: Multiple Sources
      Uploaded by: Carpe Facto
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      Allowable limit for alcohol for countries across the world.
    • मार्च 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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    • मार्च 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 मार्च, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
  • C
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • अगस्त 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2019
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      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2019
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      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time.
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • फरवरी 2019
      Source: United Nations Children's Fund
      Uploaded by: Knoema
      Accessed On: 08 अप्रैल, 2019
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      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
    • जून 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 030 -- Citizenship by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_030.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Citizenship If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country. Citizenship Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • मार्च 2016
      Source: UNESCO Institute for Statistics
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2016
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    • अगस्त 2019
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2019
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      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • अगस्त 2019
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 19 अगस्त, 2019
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • सितम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 12 सितम्बर, 2019
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      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • जून 2019
      Source: Food and Agriculture Organization
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      Accessed On: 19 जुलाई, 2019
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      The FAOSTAT monthly CPI Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.
    • दिसम्बर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • अप्रैल 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 20 अगस्त, 2015
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      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • मार्च 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Country of birth according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Country of birth The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Non-autonomous states are summed under their mother country. Country of birth Sudan Sudan + Former Sudan
    • दिसम्बर 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 अप्रैल, 2016
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      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • नवम्बर 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 दिसम्बर, 2017
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      Not applicable
    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 12 मार्च, 2018
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • मार्च 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 12 मार्च, 2018
      Select Dataset
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
      Select Dataset
      Data on marriages and divorces at national level are transmitted by the National Statistics Institutes on voluntary basis in the context of the annual demographic data collections in the field of demography carried out by Eurostat as follows:
    • मार्च 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 30 मार्च, 2017
      Select Dataset
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • मार्च 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 30 मार्च, 2017
      Select Dataset
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • दिसम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from organic soils under cropland (item: Cropland organic soils) and grassland (item: Grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
  • D
    • मार्च 2019
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 10 अप्रैल, 2019
      Select Dataset
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      Time lost per occupational injury is defined as the average number of calendar days lost per new cases of non-fatal occupational injury resulting in temporary incapacity.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      Days not worked as a result of strikes and lockouts represent the total number of working days not worked as a result of strikes and lockouts in progress during the year. It is measured in terms of the sum of the actual working days during which work would normally have been carried out by each worker involved had there been no stoppage. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      Translates the average number of days not worked because of strikes and lock-out per 1000 workers.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      Rates of days not worked due to strikes and lockouts represent the severity rates of strikes and lockouts, calculated in terms of the number of days not worked per 1'000 workers, unless otherwise stated in the notes. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
      Select Dataset
      number - per 1 000 personsDeath means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).The crude death rate is the ratio of the number of deaths during the year to the average population in that year. The value is expressed per 1 000 persons.
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 24 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 14 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 11 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 अप्रैल, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 अप्रैल, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 24 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • जुलाई 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 10 अगस्त, 2018
      Select Dataset
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
      Select Dataset
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
      Select Dataset
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • दिसम्बर 2008
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Peter Speyer
      Select Dataset
      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
  • E
    • दिसम्बर 2012
      Source: Liberia Institute of Statistics & Geo-Information Services
      Uploaded by: Knoema
      Accessed On: 21 मई, 2013
      Select Dataset
    • अगस्त 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2019
      Select Dataset
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • दिसम्बर 2012
      Source: Multiple Sources
      Uploaded by: Carpe Facto
      Select Dataset
      Emergency Phone numbers across the World
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 12 अगस्त, 2019
      Select Dataset
    • फरवरी 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 04 मार्च, 2019
      Select Dataset
      This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
      Select Dataset
      The annual Eurostat's collections on statistics on international migration flows are structured as follows:   Data Collection Info & Legislation NOWCAST Annual data collection on provisional monthly data on live births and deaths covering at least six months of the reference year (Article 4.3 of the Commission implementing regulation (EU) No 205/2014) and provisional monthly data on migrants covering at least six months of the reference year on voluntary basis DEMOBAL Demographic balance Annual data collection on provisional data on population, total live births and total deaths at national level (Article 4.1 of the Commission implementing regulation (EU) No 205/2014) and provisional data on total migrants at national level on voluntary basis UNIDEMO Unified Demographic The most extended annual collection on demography and migration, collecting data at national and regional level for population, births, deaths, immigrants,  emigrants, marriages and divorces by a large number of breakdowns. (Art. 3 of the Regulation (EU) No 1260/2013 and Art. 3 of the Regulation (EC) No 862/2007)   The annual demography data collections aim at collecting from the National Statistical Institutes both mandatory data and voluntary data. The mandatory data are those defined by the legislation listed on "6.1. Institutional Mandate - legal acts and other agreements".   The migration data collected on voluntary basis depend on the availability and on the quality of information available in the National Statistical Institutes.   For more specific information on mandatory/voluntary data collection see 6.1. Institutional Mandate - legal acts and other agreements.   The following data on migrants are collected under Unified Demographic data collection:   Immigrants by age, sex and by:                  a.   country of citizenship                  b.   country of birth                  c.   country of previous residenceImmigrants by country of citizenship and country of birthEmigrants by age, sex and by:                   a.   country of citizenship                   b.   country of birth                   c.   country of next residence 
    • फरवरी 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2019
      Select Dataset
      Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.
    • दिसम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • दिसम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • दिसम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • मई 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
      Select Dataset
      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for a selection of categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 सितम्बर, 2019
      Select Dataset
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for a selection of categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population.
    • सितम्बर 2019
      Source: International Labour Organization
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      Accessed On: 17 सितम्बर, 2019
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      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to males.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to females.
    • मार्च 2019
      Source: Organisation for Economic Co-operation and Development
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      Accessed On: 15 मार्च, 2019
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      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • जनवरी 2018
      Source: Yale Center for Environmental Law & Policy
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      Accessed On: 02 फरवरी, 2018
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      Data cited at: Wendling, Z. A., Emerson, J. W., Esty, D. C., Levy, M. A., de Sherbinin, A., et al. (2018). 2018 Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/   The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • अप्रैल 2019
      Source: Australian Bureau of Statistics
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      Accessed On: 05 अप्रैल, 2019
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      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only. Population_Estimates:_Concepts,_Sources_and_Methods_2009
    • फरवरी 2019
      Source: Australian Bureau of Statistics
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      Accessed On: 18 फरवरी, 2019
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      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.
    • सितम्बर 2015
      Source: Multiple Sources
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      Accessed On: 10 सितम्बर, 2015
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    • नवम्बर 2018
      Source: Organisation for Economic Co-operation and Development
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      Accessed On: 01 अगस्त, 2019
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      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
    • मई 2019
      Source: Statistics Norway
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      Accessed On: 17 मई, 2019
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      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • अगस्त 2019
      Source: Statistics Norway
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      Accessed On: 16 अगस्त, 2019
      Select Dataset
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • जुलाई 2019
      Source: State Statistical Office, Republic of North Macedonia
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      Accessed On: 10 जुलाई, 2019
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      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • अगस्त 2019
      Source: State Statistical Office, Republic of North Macedonia
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      Accessed On: 09 अगस्त, 2019
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      Methodological explanationsSymbols used Source: State Statistical Office Year 2018 preliminary data
    • जून 2019
      Source: Maximiliano Herrera's Human Rights Site
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      Accessed On: 17 सितम्बर, 2019
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      Data cited at: Maximiliano Herrera's Human Rights Site    Fahrenheit values calculated using formula. Fahrenheit  T(°F) = T(°C) × 9/5 + 32 for Country data calculated average for each country locations.
  • F
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; The case is fatal where death occurred within one year of the day of the accident. Data provided refers to new fatal occupational injuries per 100'000 in reference group coverage.
    • सितम्बर 2019
      Source: International Labour Organization
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      Accessed On: 17 सितम्बर, 2019
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      The incidence rate is the average number of new cases of fatal occupational injury during the calendar year per 100,000 workers in the reference group. Data are presented disaggregated by sex and economic activity, according to the latest version available of the International Standard Industrial Classification of all Economic Activities (ISIC).
    • सितम्बर 2019
      Source: International Labour Organization
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      Accessed On: 16 सितम्बर, 2019
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      This indicator conveys the rate of fatal occupational injuries per 100'000 workers in the reference group. An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; an occupational injury is therefore distinct from an occupational disease, which is a disease contracted as a result of an exposure over a period of time to risk factors arising from work activity. An occupational accident is an unexpected and unplanned occurrence, including acts of violence, arising out of or in connection with work which results in one or more workers incurring a personal injury, disease or death. A case of occupational injury is the case of one worker incurring an occupational injury as a result of one occupational accident. An occupational injury could be fatal (as a result of occupational accidents and where death occurred within one year of the day of the accident) or non-fatal with lost work time. The workers in the particular group under consideration and covered by the source of the statistics of occupational injuries are known as the workers in the reference group. In the case of a notification system, it is the number of workers in, for example, the establishments or selected economic activities covered by the system as set out in the relevant legislation or regulations. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • सितम्बर 2019
      Source: International Labour Organization
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      Accessed On: 17 सितम्बर, 2019
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      The incidence rate is the average number of new cases of fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 15 सितम्बर, 2019
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      Source: UNECE Transport Division Database. Definitions Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Driver: Any person who drives a motor vehicle or other vehicle (including a cycle), or who guides cattle, singly or in herds, or flocks, or draught, pack or saddle animals on a road. Passenger: Any person, other than the driver, who is in or on a vehicle. Pedestrian: Any person other than a driver or a passenger according to the above definitions. Persons pushing or pulling a child?s carriage, a bath chair or invalid chair, or any other small vehicle without an engine, or pushing a cycle or moped, and handicapped persons travelling in invalid chairs propelled by such persons or moving at walking pace shall be treated as pedestrians. Road vehicle: A vehicle running on wheels and intended for use on roads. Motor vehicle: Any power-driven vehicle which is normally used for carrying persons or goods by road or for drawing, on the road, vehicles used for the carriage of persons or goods. This term embraces trolleybuses, that is to say, vehicles connected to an electric conductor and not rail-borne. It does not cover vehicles, such as agricultural tractors, which are only incidentally used for carrying persons or goods by road or for drawing, on the road, vehicles used for the carriage of persons or goods. Power driven vehicle: Any self propelled road vehicle, other than a moped and a rail-borne vehicle. Cycle: Any road vehicle which has at least two wheels and is propelled solely by the muscular energy of the person(s) on that vehicle, in particular by means of a pedal system, lever or handle (e.g. bicycles, tricycles, quadricycles and invalid carriages). Moped: Any two-wheeled or three-wheeled road vehicle which is fitted with an internal combustion engine having a cylinder capacity not exceeding 50 cc. (3.05 cu. in.) and a maximum design speed not exceeding 50 km (30 miles) per hour. Motor cycle: Two-wheeled road motor vehicle with or without side-car, including motor scooter, or three-wheeled road motor vehicle not exceeding 400 kg (900 lb.) unleaded weight. This term does not include mopeds. Passenger car: Road motor vehicle, other than a motor cycle, intended for the transport of passengers and seating not more than nine persons (including the driver). The term passenger car therefore covers taxis and hired vehicles, provided that they have fewer than ten seats. Motor coach or bus: Passenger road motor vehicle, seating more than nine persons (including the driver). Trolleybus: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is not rail-borne. Tramcar: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is rail borne. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Albania Included with motorcycles, if not available. Country: Ireland Included with motorcycles, if not available. Country: Poland Included with motorcycles, if not available. Country: Georgia '' Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of From 2008, breakdown by category of user does not sum to total as unknown category of user is not reported. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by age group cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. 6 to 9 years refers to less than 10 years old. Country: United Kingdom Data refer to Great Britain. Country: United States Sum by category of user is not equal to total as unknown category of user is not shown. Country: Uzbekistan Less than 6 years refers to less than 7 years. 10 to 14 years refers to 8 to 15 years.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 15 सितम्बर, 2019
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      For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Age Group: For European Union members, less than 6 years refers to less than 5 years (data provided through CARE database). Age Group: 18 - 20 years For European Union members, 18 to 20 years refers to 18 to 19 years (data provided through CARE database). Age Group: 21 - 24 years For European Union members, 21 to 24 years refers to 20 to 24 years (data provided through CARE database). Age Group: 6 - 9 years For European Union members, 6 to 9 years refers to 5 to 9 years (data provided through CARE database). Country: Georgia '' Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by age group cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. 6 to 9 years refers to less than 10 years old. Country: United Kingdom Data refer to Great Britain. Country: Uzbekistan Less than 6 years refers to less than 7 years. 10 to 14 years refers to 8 to 15 years. Sex: Total Sum of males and females may not be equal to total in some countries where victim gender is unknown.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
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      Accessed On: 17 अप्रैल, 2019
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    • फरवरी 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 26 जून, 2018
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      FDI data are based on statistics provided by 35 OECD member countries and by Lithuania. BMD4: OECD Benchmark Definition of Foreign Direct Investment - 4th Edition
    • मार्च 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 05 मार्च, 2019
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    • जून 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 02 जुलाई, 2018
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    • जुलाई 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 जुलाई, 2019
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    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      Data refers to the number of women employed in the agricultural sector as a percent of total employment in agriculture
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      Data refers to the number of women employed in the industry sector as a percent of total employment in industry.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Data provided refers to the number of women employed in the services sector as a percent of total employment in services.
    • अगस्त 2019
      Source: Eurostat
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      Accessed On: 17 अगस्त, 2019
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      Eurostat’s annual data collections on demographic statistics are structured as follows:
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2019
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      Not applicable
    • जुलाई 2019
      Source: International Federation of Association Football
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      Accessed On: 24 अगस्त, 2019
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      Monthly updates of FIFA World Football Men's Ranking 
    • सितम्बर 2019
      Source: International Monetary Fund
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      Accessed On: 16 सितम्बर, 2019
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      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • अगस्त 2019
      Source: International Monetary Fund
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      Accessed On: 16 अगस्त, 2019
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      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
    • मार्च 2019
      Source: Statistics Finland
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      Accessed On: 23 मार्च, 2019
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.
    • मार्च 2018
      Source: Statistics Finland
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      Accessed On: 29 नवम्बर, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 008 -- Nationality according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_008.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish)Nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.Nationality Czech Republic Czech Republic + Former CzechoslovakiaSudan Sudan + Former Sudan
    • मार्च 2018
      Source: Statistics Finland
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      Accessed On: 29 नवम्बर, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 009 -- Finnish citizens with dual nationality by age and second nationality in 2000 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_009.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Second nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. Second nationality Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • मार्च 2019
      Source: Eurostat
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      Accessed On: 22 मार्च, 2019
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      Source: UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Data on first marriages are numbers of men and women who were married for the first time during the year, by age at last birthday. General note: Data come from registers, unless otherwise specified. .. - data not available Country: Albania Reference period (2007-2015): The data are for the total number of marriages not for the first Country: Albania Reference period (2007-2015): The data for the 15-19 age group refer to under 19 Country: Belgium Change in definition (2000-2015): both spouses are single before the marriage. In the preceding table, each spouse was selected separetely. Country: Belgium Since 2003, marriages between persons of the same sex are included. Country: Cyprus Data cover only government controlled area. Country: Georgia Territorial change (1995 onward): Data do not cover Abkhazia AR and Tskhinvali Region Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Kazakhstan Change in definition (1995 - 2008): Age group 0-14 refers to age less than 18; age group 15-19 refers to 18-19. Country: Malta From 2001: data include foreign residents. Country: Moldova, Republic of Age group 15-19 includes married at the age under 16 and 16-19. Country: Moldova, Republic of Territorial change (2000 onward): Data exclude the territory of the Transnistria and municipality of Bender Country: Russian Federation Additional information (2011 - 2012): Age group 15-19 includes married at age less than 15 Country: Serbia From 1998: data do not cover Kosovo and Metohija. Country: Tajikistan Data refer to registered marriages. Country: Turkey Change in definition (2002 - 2012): Age group 15 - 19 refers to 16-19. Measurement: Percent of corresponding total for all ages , Country: Ukraine Change in definition (1980 - 1995): Age group 0-14 refers to age less than 18; age group 15-19 refers to 18-19. Measurement: Percent of corresponding total for all ages , Country: Ukraine Change in definition (2000 - 2006): Age group 0-14 refers to age less than 16; age group 15-19 refers to 16-19.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 23 मार्च, 2019
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • मार्च 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 मार्च, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • सितम्बर 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 अक्तूबर, 2014
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      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • अगस्त 2018
      Source: General Authority for Statistics, Kingdom of Saudi Arabia
      Uploaded by: Shakthi Krishnan
      Accessed On: 10 सितम्बर, 2018
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    • सितम्बर 2019
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 08 सितम्बर, 2019
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    • मई 2018
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 23 अप्रैल, 2019
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      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • अगस्त 2019
      Source: Bahrain Open Data Portal
      Uploaded by: Knoema
      Accessed On: 04 सितम्बर, 2019
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      The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyses or application
    • जनवरी 2019
      Source: German Chemicals Industry Association
      Uploaded by: Knoema
      Accessed On: 19 फरवरी, 2019
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      Chemistry facts and figures of Foreign Trade, Germany Facts and figures for chemistry (2017), Foreign Trade
    • अगस्त 2019
      Source: Kuwait Central Statistical Bureau
      Uploaded by: Knoema
      Accessed On: 28 अगस्त, 2019
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    • अगस्त 2019
      Source: Ministry of Development Planning and Statistics, Qatar
      Uploaded by: Knoema
      Accessed On: 04 सितम्बर, 2019
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      Qatar: Foreign Merchandise Trade The foreign trade data reflects a clear image of the stages of economical growth in the State of Qatar, as it shows the commodities flow in the shape of national exports, re-exports, and imports to / from different countries of the world. The foreign trade tables contains detailed data for visible imports by country of origin and Exports and Re-Exports by country of destination. The commodity tables are classified by sections and items of the Harmonized System (H.S.) issued by World Customs Organization, which was adapted according to GCC’s needs to meet the actual movement of foreign trade in the region, in addition to other statistical tables. The customs declaration entry issued by Customs Department is the main source of statistical information according to the Special Trade System adopted by the State of Qatar.
    • नवम्बर 2018
      Source: Federal Competitiveness and Statistics Authority, United Arab Emirates
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • दिसम्बर 2018
      Source: Freedom House
      Uploaded by: Knoema
      Accessed On: 07 मार्च, 2019
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      Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for many countries. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • अप्रैल 2017
      Source: Freedom House
      Uploaded by: Knoema
      Accessed On: 09 अक्तूबर, 2018
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      Variables converted from character to numeric as follow:Variables under consideration are top 3 vars i.e. Status, print and Broadcast 1 = Free (F) 2 = Partly Free (PF) 3 = Not Free (NF) Under source it values are present like: "F" , "PF" and "NF"  Note:- Date range has been considered as follow: Jan.1981-Aug.1982 is considered as 1982 Aug.1982-Nov.1983 is considered as 1983 Nov.1983-Nov.1984 is considered as 1984 Nov.1984-Nov.1985 is considered as 1985 Nov.1985-Nov.1986 is considered as 1986 Nov.1986-Nov.1987 is considered as 1987   About Freedom of the press: Freedom of the Press, an annual report on media independence around the world which assesses the degree of print, broadcast, and digital media freedom in 199 countries and territories. Published since 1980, it provides numerical scores and country narratives evaluating the legal environment for the media, political pressures that influence reporting, and economic factors that affect access to news and information. Freedom of the Press is the most comprehensive data set available on global media freedom and serves as a key resource for policymakers, international institutions, journalists, activists, and scholars worldwide.
  • G
    • सितम्बर 2019
      Source: Global Database of Events, Language, and Tone
      Uploaded by: Knoema
      Accessed On: 09 सितम्बर, 2019
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      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • जुलाई 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2019
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      Gross Domestic Product
    • जुलाई 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 24 जुलाई, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • अक्तूबर 2015
      Source: HelpAge International
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2015
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      The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
    • जुलाई 2011
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 21 सितम्बर, 2017
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • दिसम्बर 2018
      Source: TRACE International
      Uploaded by: Knoema
      Accessed On: 30 जनवरी, 2019
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      'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted. Anti-corruption laws enacted by a country and information about enforcement of those laws. Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants. Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains. For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
    • मार्च 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 अप्रैल, 2018
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      Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
    • मार्च 2019
      Source: International Telecommunication Union
      Uploaded by: Shakthi Krishnan
      Accessed On: 18 जुलाई, 2019
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        The Global Cybersecurity Index (GCI) is a survey that measures the commitment of Member States to cybersecurity in order to raise awareness. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. One-hundred and thirty-four Member States responded to the survey throughout 2016. Member States who did not respond were invited to validate responses determined from open-source research. As such, the GCI results reported herein cover all 193 ITU Member States. The 2017 publication of the GCI continues to show the commitment to cybersecurity of countries around the world. The overall picture shows improvement and strengthening of all five elements of the cybersecurity agenda in various countries in all regions. However, there is space for further improvement in cooperation at all levels, capacity building and organizational measures. As well, the gap in the level of cybersecurity engagement between different regions is still present and visible. The level of development of the different pillars varies from country to country in the regions, and while commitment in Europe remains very high in the legal and technical fields in particular, the challenging situation in the Africa and Americas regions shows the need for continued engagement and support. In addition to providing the GCI score, this report also provides a set of illustrative practices that give insight into the achievements of certain countries.
    • दिसम्बर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 13 फरवरी, 2019
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      The Global Debt Database (GDD) is the result of a multiyear investigative process that started with the October 2016 Fiscal Monitor. The dataset comprises total gross debt of the (private and public) non financial sector for an unbalanced panel of 190 advanced economies, emerging market economies and low-income countries, dating back to 1950. For more details on the methodology and definitions, please refer to Mbaye, Moreno Badia and Chae (2018). 
    • अप्रैल 2018
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 21 नवम्बर, 2018
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      Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
    • मार्च 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 मार्च, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • मार्च 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 अप्रैल, 2018
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      Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
    • सितम्बर 2015
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 अक्तूबर, 2015
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      DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
    • मार्च 2019
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 18 मार्च, 2019
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      The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.
    • नवम्बर 2018
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 17 जनवरी, 2019
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    • जुलाई 2019
      Source: Global Innovation Index
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      The GII is a source of insight into the multidimensional facets of innovation-driven growth. Providing 80 detailed metrics for 129 economies in 2019, the GII has become one of the leading references for measuring an economy’s innovation performance. Moving into its 12th edition this year, the GII has evolved into a valuable benchmarking tool that can facilitate public-private dialogue and where policy-makers, business leaders, and other stakeholders can evaluate innovation progress on an annual basis.   Each year the GII presents a thematic component that tracks global innovation. In this year’s edition, it analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. 
    • दिसम्बर 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 09 अक्तूबर, 2018
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      GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.
    • सितम्बर 2019
      Source: GlobalPetrolPrices.com
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      Data cited at: Global Petrol Prices web site - https://www.globalpetrolprices.com/ License: https://creativecommons.org/licenses/by-nc/4.0/ Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013    
    • दिसम्बर 2018
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 22 जनवरी, 2019
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      Note: The dataset has been collected from "Global status report on road safety 2018".  For this report, 2018 data were used for the review of vehicle standards; 2017 data were used for the review of legislation, road standards and post-crash care; fatality estimates were based on data from 2016. The Global status report on road safety 2018, launched by WHO in December 2018, highlights that the number of annual road traffic deaths has reached 1.35 million. Road traffic injuries are now the leading killer of people aged 5-29 years. The burden is disproportionately borne by pedestrians, cyclists and motorcyclists, in particular those living in developing countries. The report suggests that the price paid for mobility is too high, especially because proven measures exist. These include strategies to address speed and drinking and driving, among other behaviors; safer infrastructure like dedicated lanes for cyclists and motorcyclists; improved vehicle standards such as those that mandate electronic stability control; and enhanced post-crash care. Drastic action is needed to put these measures in place to meet any future global target that might be set and save lives.
    • दिसम्बर 2014
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 06 जून, 2018
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      The Global status report on violence prevention 2014, which reflects data from 133 countries, is the first report of its kind to assess national efforts to address interpersonal violence, namely child maltreatment, youth violence, intimate partner and sexual violence, and elder abuse. Jointly published by WHO, the United Nations Development Programme, and the United Nations Office on Drugs and Crime, the report reviews the current status of violence prevention efforts in countries, and calls for a scaling up of violence prevention programmes; stronger legislation and enforcement of laws relevant for violence prevention; and enhanced services for victims of violence.
    • जनवरी 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 22 जनवरी, 2019
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      Country: Belarus ''Lorries'' includes road tractors. ''Trailers'' includes semi-trailers. ''Light goods road vehicles'' include lorries. Country: Bosnia and Herzegovina ''Lorries'' includes road tractors. ''Trailers'' include semi-trailers Country: Kazakhstan Light goods road vehicles refer to all lorries. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Estonia ''Trailers'' include semi-trailers. Country: Germany Lorries, load capacity 5,000 kg - 6,999 kg refers to 5,000 kg to 7,499 kg. Lorries, load capacity 7,000 kg - 9,999 kg refers to 7,500 kg to 9,999 kg. Country: Hungary Load capacity of ''lorries'' excludes lorries for special purpose. ''Trailers'' include semi-trailers. Country: Hungary ''Lorries'' includes special purpose motor vehicles. Country: Italy Lorries, load capacity 1,000-1,499 kg refers to 1,100-1,600 kg, 1,500-2,999 kg refers to 1,700-3,500 kg, 3,000-4,999 kg refers to 3,600-6,000 kg, 7,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg and over.Semi-trailers, load capacity up to 4,999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000-19,999 kg refers to 18,100-22,000 kg, 20,000 kg and over refers to 22,000 kg and over.Trailers, load capacity up to 4 999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg. Country: Latvia Data from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data. Country: Lithuania The state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014. Country: Netherlands Number of semi trailers 20,000 kg and over includes semi trailers with unknown load capacities. Number of trailers 15,000 kg and over includes trailers with unknown load capacities. Country: Russian Federation ''Lorries'' 1000 kg-1499 kg refer to N1 vehicles (maximum mass of not more than 3.5 tonnes), 5000 kg-6999 kg refer to N2 vehicles (maximum mass between 3.5 and 12 tonnes), and 15000 kg or more refer to N3 vehicles (maximum mass exceeding 12 tonnes). Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Trailers includes semi trailers. Country: Slovakia ''Semi-trailers'' includes trailers, 2000-2014. Light goods road vehicles includes all lorries. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks'' Vehicle Category: Light goods road vehicles (vehicle wt up to 3500 kg) Includes all lorries
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      Country: Belarus ''Lorries'' includes road tractors. ''Trailers'' includes semi-trailers. ''Light goods road vehicles'' include lorries. Country: Bosnia and Herzegovina ''Light goods road vehicles'' include ''Road tractors''. ''Trailers'' include ''Semi-trailers''. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Croatia For data prior to 2015, refers to all lorries Country: Cyprus Light goods road vehicles refers to load capacity up to 2,999 kg. Lorries with permissible maximum gross weight 3,501 kg - 7,500 kg refers to load capacity 3,000 kg - 6,999 kg. Lorries with permissible maximum gross weight 7,501 kg - 12,000 kg refers to load capacity 7,000 kg - 9,999 kg. Lorries with permissible maximum gross weight 12,001 kg - 40,000 kg refers to load capacity 10,000 kg - 19,999 kg. Lorries with permissible maximum gross weight 40,000 kg and over refers to load capacity 20,000 kg and over. Country: Czechia Lorries with load capacity 12 001 kg - 40 000 kg refers to greater than 12 000 kg. Country: Estonia ''Trailers'' include semi-trailers. Country: France ''Trailers'' includes only trailers with authorized total weight > = 6 tons. Country: Hungary ''Lorries'' includes special purpose motor vehicles. From 2013, trailers includes semi-trailers and caravans. Country: Latvia Data from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data. Country: Lithuania The state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014. Country: Poland Semi-trailers with permissible maximum gross weight 30 001 kg - 40 000 kg refers to permissible maximum gross weight > 30 000 kg. Trailers with permissible maximum gross weight 751 kg - 3 500 kg refers to permissible maximum gross weight up to 3 500 kg. Country: Romania Semi-trailers with permissible maximum gross weight up to 20 000 kg refers to permissible maximum gross weight up to 9 999 kg. Semi-trailers with permissible maximum gross weight 20 001 kg - 30 000 kg refers to permissible maximum gross weight 10 000 kg - 14 999 kg. Trailers with permissible maximum gross weight up to 750 kg refers to permissible maximum gross weight up to 4 999 kg. Trailers with permissible maximum gross weight 751 kg - 3 500 kg refers to permissible maximum gross weight 5 000 kg - 9 999 kg Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Trailers includes semi trailers. Country: Slovakia ''Semi-trailers'' includes trailers, 2000-2014. Light goods road vehicles includes all lorries. Country: The former Yugoslav Republic of Macedonia Semi-trailers refer to semi-trailers and trailers through 2010. From 2011 onward, trailers refer to semi-trailers and trailers. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks'' Vehicle Category: Light goods road vehicles (vehicle wt up to 3500 kg) For data prior to 2013, refers to all lorries.
    • फरवरी 2017
      Source: National Institute of Statistics and Censuses, Costa Rica
      Uploaded by: Knoema
      Accessed On: 30 मई, 2017
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      National Accounts of Costa Rica
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2019
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      This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2019
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      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 अगस्त, 2019
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      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 22 अगस्त, 2019
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      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
    • अगस्त 2019
      Source: International Monetary Fund
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      Accessed On: 22 अगस्त, 2019
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      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterpart claim belongs. The counterpart sectors include non-financial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 22 अगस्त, 2019
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      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
    • मई 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 सितम्बर, 2019
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      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
    • मार्च 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 27 मार्च, 2019
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      This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
    • फरवरी 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 02 अप्रैल, 2019
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      This dataset provides information on gross domestic product (GDP), total and per capita at current and constant (2010) prices also it contains annual average growth rates of gross domestic product (GDP), total and per capita, in per cent. The total GDP is expressed in millions of dollars, while GDP per capita is expressed in dollars.
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 12 सितम्बर, 2019
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      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 जून, 2019
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • नवम्बर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 23 फरवरी, 2019
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • नवम्बर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 08 जनवरी, 2019
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • अप्रैल 2018
      Source: Global Trade Alert
      Uploaded by: Knoema
      Accessed On: 16 मई, 2019
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      Global Trade Alert - Trade Coverage Estimates   Data Cited at: https://www.globaltradealert.org
  • H
    • जुलाई 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 जुलाई, 2019
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      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
    • जुलाई 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 02 जुलाई, 2019
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    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 जुलाई, 2019
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      The indicator Healthy Life Years (HLY) at age 65 measures the number of years that a person at age 65 is still expected to live in a healthy condition. HLY is a health expectancy indicator which combines information on mortality and morbidity. The data required are the age-specific prevalence (proportions) of the population in healthy and unhealthy conditions and age-specific mortality information. A healthy condition is defined by the absence of limitations in functioning/disability. The indicator is calculated separately for males and females. The indicator is also called disability-free life expectancy (DFLE). Life expectancy at age 65 is defined as the mean number of years still to be lived by a person at age 65, if subjected throughout the rest of his or her life to the current mortality conditions.
    • जुलाई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 जुलाई, 2019
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      The indicator Healthy Life Years (HLY) at birth measures the number of years that a person at birth is still expected to live in a healthy condition. HLY is a health expectancy indicator which combines information on mortality and morbidity. The data required are the age-specific prevalence (proportions) of the population in healthy and unhealthy conditions and age-specific mortality information. A healthy condition is defined by the absence of limitations in functioning/disability. The indicator is calculated separately for males and females. The indicator is also called disability-free life expectancy (DFLE). Life expectancy at birth is defined as the mean number of years still to be lived by a person at birth -, if subjected throughout the rest of his or her life to the current mortality conditions.
    • नवम्बर 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 26 मई, 2017
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      The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product, Gross Government Debt, and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
    • फरवरी 2016
      Source: Statistics Mauritius
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2018
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      Data cited at: https://mauritius.opendataforafrica.org/HDIM2016
    • अगस्त 2018
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 20 दिसम्बर, 2018
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      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
    • सितम्बर 2019
      Source: Financial Tracking Service
      Uploaded by: Knoema
      Accessed On: 13 सितम्बर, 2019
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      Data cited at: Financial Tracking Service
  • I
    • जुलाई 2018
      Source: International Centre for Tax and Development
      Uploaded by: Knoema
      Accessed On: 23 मई, 2019
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      Data cited at: ICTD/UNU-WIDER, ‘Government Revenue Dataset’, 2018, https://www.wider.unu.edu/project/government-revenue-dataset' ICTD Government Revenue Dataset, 2018 A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • जुलाई 2019
      Source: International Monetary Fund
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      Accessed On: 18 जुलाई, 2019
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      The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
    • अप्रैल 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 11 अप्रैल, 2019
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      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years. Changes to the April 2019 Database:  FYR Macedonia is now called North Macedonia. In February 2019, Zimbabwe adopted a new local currency unit, the RTGS dollar, which has become the official unit of account. Efforts are underway to revise and update all national accounts series to the new RTGS dollar. Current data are based on IMF staff estimates of price and exchange rate developments in US (and RTGS) dollars. Staff estimates of US dollar values may differ from authorities’ estimates.    
    • दिसम्बर 2018
      Source: Organisation for Economic Co-operation and Development
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      Accessed On: 03 दिसम्बर, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • मार्च 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2017
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      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • दिसम्बर 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 दिसम्बर, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • दिसम्बर 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 दिसम्बर, 2018
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • दिसम्बर 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 दिसम्बर, 2018
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • मार्च 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2017
      Select Dataset
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • दिसम्बर 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 दिसम्बर, 2018
      Select Dataset
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • दिसम्बर 2018
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 दिसम्बर, 2018
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 12 अगस्त, 2019
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    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 अगस्त, 2019
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      The annual Eurostat's collections on statistics on international migration flows are structured as follows:   Data Collection Info & Legislation NOWCAST Annual data collection on provisional monthly data on live births and deaths covering at least six months of the reference year (Article 4.3 of the Commission implementing regulation (EU) No 205/2014) and provisional monthly data on migrants covering at least six months of the reference year on voluntary basis DEMOBAL Demographic balance Annual data collection on provisional data on population, total live births and total deaths at national level (Article 4.1 of the Commission implementing regulation (EU) No 205/2014) and provisional data on total migrants at national level on voluntary basis UNIDEMO Unified Demographic The most extended annual collection on demography and migration, collecting data at national and regional level for population, births, deaths, immigrants,  emigrants, marriages and divorces by a large number of breakdowns. (Art. 3 of the Regulation (EU) No 1260/2013 and Art. 3 of the Regulation (EC) No 862/2007)   The annual demography data collections aim at collecting from the National Statistical Institutes both mandatory data and voluntary data. The mandatory data are those defined by the legislation listed on "6.1. Institutional Mandate - legal acts and other agreements".   The migration data collected on voluntary basis depend on the availability and on the quality of information available in the National Statistical Institutes.   For more specific information on mandatory/voluntary data collection see 6.1. Institutional Mandate - legal acts and other agreements.   The following data on migrants are collected under Unified Demographic data collection:   Immigrants by age, sex and by:                  a.   country of citizenship                  b.   country of birth                  c.   country of previous residenceImmigrants by country of citizenship and country of birthEmigrants by age, sex and by:                   a.   country of citizenship                   b.   country of birth                   c.   country of next residence 
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
      Select Dataset
      The annual Eurostat's collections on statistics on international migration flows are structured as follows:   Data Collection Info & Legislation NOWCAST Annual data collection on provisional monthly data on live births and deaths covering at least six months of the reference year (Article 4.3 of the Commission implementing regulation (EU) No 205/2014) and provisional monthly data on migrants covering at least six months of the reference year on voluntary basis DEMOBAL Demographic balance Annual data collection on provisional data on population, total live births and total deaths at national level (Article 4.1 of the Commission implementing regulation (EU) No 205/2014) and provisional data on total migrants at national level on voluntary basis UNIDEMO Unified Demographic The most extended annual collection on demography and migration, collecting data at national and regional level for population, births, deaths, immigrants,  emigrants, marriages and divorces by a large number of breakdowns. (Art. 3 of the Regulation (EU) No 1260/2013 and Art. 3 of the Regulation (EC) No 862/2007)   The annual demography data collections aim at collecting from the National Statistical Institutes both mandatory data and voluntary data. The mandatory data are those defined by the legislation listed on "6.1. Institutional Mandate - legal acts and other agreements".   The migration data collected on voluntary basis depend on the availability and on the quality of information available in the National Statistical Institutes.   For more specific information on mandatory/voluntary data collection see 6.1. Institutional Mandate - legal acts and other agreements.   The following data on migrants are collected under Unified Demographic data collection:   Immigrants by age, sex and by:                  a.   country of citizenship                  b.   country of birth                  c.   country of previous residenceImmigrants by country of citizenship and country of birthEmigrants by age, sex and by:                   a.   country of citizenship                   b.   country of birth                   c.   country of next residence 
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
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      This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • जुलाई 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 अगस्त, 2014
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      The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • दिसम्बर 2016
      Source: U.S. Patent and Trademark Office
      Uploaded by: Knoema
      Accessed On: 27 जुलाई, 2017
      Select Dataset
      An independent inventor patent is a patent that has ownership that is unassigned or assigned to an individual at the time of grant i.e. ownership of the patent is not assigned to an organization. some U.S. origin patents are assigned to foreign individuals while some foreign origin patents are assigned to U.S. individuals. Therefore, the sum of counts of U.S. origin independent inventor patents usually will not equal the sum of counts of patents owned by "U.S. individuals" and the sum of counts of "foreign origin" independent inventor patents usually will not equal the sum of counts of patents owned by foreign individuals.
    • मार्च 2019
      Source: Global Trade Alert
      Uploaded by: Knoema
      Accessed On: 03 अप्रैल, 2019
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      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”   Data Cited at: https://www.globaltradealert.org
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 05 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 05 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • फरवरी 2019
      Source: National Institute of Statistics, Italy
      Uploaded by: Knoema
      Accessed On: 01 मार्च, 2019
      Select Dataset
      Data source(s) used: Vital statistics on causes of death: The Vital statistics system on causes of death is the main source for the evaluation of the health status of the population, and for the health programs and resources allocation. Data on causes of all deaths occurring in Italy during a calendar year are collected by the death certificates Istat/D.4 and D.4 bis. The physician must fill the health section of the certificate (part A) and the civil status officer of the appurtenant municipality must fill the demographic section of the certificate (part B).
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 05 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • मई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 28 मई, 2019
      Select Dataset
      Inflow of migrants refer to the number of immigrants who changed their country of usual residence during the reference period. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by sex and country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • मई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 जून, 2019
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    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2019
      Select Dataset
      The Fertilizer archive dataset contains information on the Production, Trade and Consumption of chemical and mineral fertilizers products, both in total nutrients and in amount of product, over the time series 1961 to 2002. The dataset also contains data on Prices paid by farmers expressed in local currencies (as a consequence no country aggregates are available) for single fertilizer products. This dataset is an archive and it is disseminated as it was in the previous FAOSTAT System. No dataset updates made or to be made in the future.
    • दिसम्बर 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 मार्च, 2016
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      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • जुलाई 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 जुलाई, 2019
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      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • दिसम्बर 2017
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 06 फरवरी, 2018
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      The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
    • जनवरी 2018
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 16 मार्च, 2018
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    • जून 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 जून, 2019
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      Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
    • जून 2013
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 22 जुलाई, 2013
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      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 अप्रैल, 2019
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      This indicator reports the percentage of students of each country of origin over the total of international students.
    • जून 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
      Select Dataset
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: ESCAP-World Bank: International Trade Costs Publication: https://datacatalog.worldbank.org/dataset/escap-world-bank-international-trade-costs License: http://creativecommons.org/licenses/by/4.0/   The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.
    • जून 2013
      Source: World Integrated Trade Solution
      Uploaded by: Knoema
      Accessed On: 04 जनवरी, 2019
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      The dataset provides a consolidated and reconciled version of multiple sources of bilateral trade data. Its advantages over the original source data are that it provides broader coverage based on mirror flows, reconciliation of aggregate with underlying flows, and consolidation (allowing for broader coverage than offered by source data). One weakness, inherent in all available data of this type, is that even with mirror flows, a substantial share of South-South trade is unreported. As such, while we can recover North-South exports from mirror flows, we cannot recover all unreported bilateral flows. The scale of the problem can be gauged by comparing trade with the world with bilateral flows in the database. Notes: • values are in millions of current US dollars • Because of the apparent mixing of zero and missing by source agencies, we have opted to use missing, or “.”, for reported zero and missing flows. • total with world is the greater of reported total with world, or aggregate of bilateral flows • region XWD holds difference between all bilateral flows and global (trade with world) total. It is the sum of flows with missing partners. This means XWD holds identified flows without a partner. It does not hold flows that are totally unreported. • all unreported REP:PAR:BOP:YEAR combinations, meaning that do not even appear in the dataset, can be safely assumed to be missing. By this, we mean there is no reported source for these flows, and the countries-product-year combination does not even occur in any of the underlying source data.
    • सितम्बर 2019
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 11 सितम्बर, 2019
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      International trade in services, quarterly by imports and exports, country and time
    • अक्तूबर 2018
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 06 मार्च, 2019
      Select Dataset
    • अक्तूबर 2016
      Source: Statistics Netherlands
      Uploaded by: Knoema
      Accessed On: 06 अक्तूबर, 2018
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      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; Imports and exports of services by country, 2003-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80414ENG&_theme=1118 License: http://creativecommons.org/licenses/by/4.0/  This table contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures. Data available from 2003 to 2013. Status of the figures: The figures are definite. Changes as of 8 October 2014: None, this table has been discontinued. When will new figures be published? No longer applicable.
    • दिसम्बर 2012
      Source: Internet World Stats
      Uploaded by: Knoema
      Accessed On: 11 सितम्बर, 2013
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      Internet World Stats is an International website that features up to date world Internet Usage, Population Statistics, Travel Stats and Internet Market Research Data, for over 233 individual countries and world regions.
    • फरवरी 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2018
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      Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
    • मार्च 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 जून, 2019
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      Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
    • जुलाई 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 अगस्त, 2014
      Select Dataset
      The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
  • J
    • मई 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 जून, 2019
      Select Dataset
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • L
    • दिसम्बर 2017
      Source: Ministry of Economy, UAE
      Uploaded by: Knoema
      Accessed On: 17 मई, 2018
      Select Dataset
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The labour force participation rate is the labour force as a percent of the working age population.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of males.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of females.
    • मई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 24 मई, 2019
      Select Dataset
      Labour share in GDP is the total compensation of employees given as a percent of gross domestic product (a measure of total output), both provided in nominal terms. Total compensation refers to the total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the latter during the accounting period.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 15 अप्रैल, 2019
      Select Dataset
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
      Select Dataset
      Eurostat’s annual data collections on demographic statistics are structured as follows: l
    • दिसम्बर 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 दिसम्बर, 2017
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 24 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 27 मई, 2019
      Select Dataset
      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2018
      Source: World Atlas
      Uploaded by: Knoema
      Accessed On: 29 अगस्त, 2019
      Select Dataset
      Linguistic Diversity Index Data cited at: https://www.worldatlas.com/articles/the-most-linguistically-diverse-countries-in-the-world.html
    • जून 2012
      Source: Wikipedia
      Uploaded by: Carpe Facto
      Select Dataset
      Extremes in elevation across countries.
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 20 अगस्त, 2019
      Select Dataset
      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
      Select Dataset
      number - per 1 000 personsLive births are the births of children that showed any sign of life.The crude birth rate is the ratio of the number of live births during the year to the average population in that year. The value is expressed per 1 000 persons.
    • फरवरी 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 04 मार्च, 2019
      Select Dataset
      Eurostat’s annual data collections on demographic statistics are structured as follows:
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2019
      Select Dataset
      Not applicable
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 09 अप्रैल, 2019
      Select Dataset
      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 08 अप्रैल, 2019
      Select Dataset
      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2019
      Select Dataset
      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 18 अगस्त, 2019
      Select Dataset
      Not applicable
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 08 अप्रैल, 2019
      Select Dataset
      Not applicable
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2019
      Select Dataset
      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 18 अगस्त, 2019
      Select Dataset
      Not applicable
  • M
    • मई 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 27 जून, 2019
      Select Dataset
      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • जुलाई 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 23 जुलाई, 2019
      Select Dataset
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
      Select Dataset
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • मार्च 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2019
      Select Dataset
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
      Select Dataset
      Data on marriages and divorces at national level are transmitted by the National Statistics Institutes on voluntary basis in the context of the annual demographic data collections in the field of demography carried out by Eurostat as follows:
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 अगस्त, 2019
      Select Dataset
      The mean age of women when their children are born.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
      Select Dataset
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      Data on earnings are presented, whenever possible, in nominal terms and on the basis of the mean of monthly earnings of all employees. The earnings of employees relate to the gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers' contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Statistics of earnings relate to the gross remuneration of employees, i.e. the total before any deductions are made by the employer. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • दिसम्बर 2018
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 14 दिसम्बर, 2018
      Select Dataset
      This Dataset contains Indicators related to IC Development Index and Tables from "Measuring the Information Society Report 2018, Volume 1" For Indicators for other ICT Development data please refer: https://knoema.com/ITUKIICT2019/global-ict-developments
    • सितम्बर 2019
      Source: General Authority for Statistics, Kingdom of Saudi Arabia
      Uploaded by: Knoema
      Accessed On: 06 सितम्बर, 2019
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    • जून 2019
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 25 जून, 2019
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    • अक्तूबर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
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    • फरवरी 2019
      Source: National Institute of Statistics, Italy
      Uploaded by: Knoema
      Accessed On: 01 मार्च, 2019
      Select Dataset
      Data source(s) used: Persons registered in and cancelled from the population register due to change of residence:The English description of the source is not available at this time, for methodological details go to the Siqual system
    • जून 2018
      Source: Statistics Netherlands
      Uploaded by: Knoema
      Accessed On: 02 दिसम्बर, 2018
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      Immigration and emigration in the Netherlands and the administrative corrections by country of birth, sex, age and marital status. Data available from: 1995 Status of the figures: All data recorded in this publication are final data. Changes as from 18 June 2018: The final figures of 2017 have been added. Changes as from 26 April 2018: The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have been adjusted. The age classification has been simplified: the five-year groups have been removed. This makes the table better suited for the interface of the new StatLine. If you are missing these figures, please contact Infoservice (see section 5). When will new figures be published? The final figures of 2018 will be added in the second quarter of 2019 in this publication.
    • मार्च 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 मार्च, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
    • फरवरी 2016
      Source: Pew Research Center
      Uploaded by: Knoema
      Accessed On: 05 फरवरी, 2016
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      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • दिसम्बर 2018
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 04 मार्च, 2019
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      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • सितम्बर 2018
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 27 जून, 2019
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      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable. Note: Ethiopia [upto 1993] and Ethiopia [from 1993] merged to get Ethiopia, Similarly Sudan (upto 2011) is combined with Sudan.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
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    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
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    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
      Select Dataset
    • अप्रैल 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 21 मई, 2019
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      This indicator shows the percentage change of the CPI between a month and the same month of the previous year. In cases where the period of reference is a quarter, data refers to the percentage change from the same quarter of the previous year.
    • फरवरी 2019
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 08 फरवरी, 2019
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      National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
    • जनवरी 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 22 जनवरी, 2019
      Select Dataset
      Country: Estonia ''Trailers'' include semi-trailers. Country: Germany Lorries, load capacity 5,000 kg - 6,999 kg refers to 5,000 kg to 7,499 kg. Lorries, load capacity 7,000 kg - 9,999 kg refers to 7,500 kg to 9,999 kg. Country: Greece Includes both new vehicles and used vehicles from abroad. Country: Hungary Includes both new vehicles and used vehicles from abroad. Country: Hungary ''Lorries'' includes special purpose motor vehicles. Country: Italy Lorries, load capacity 1,000-1,499 kg refers to 1,100-1,600 kg, 1,500-2,999 kg refers to 1,700-3,500 kg, 3,000-4,999 kg refers to 3,600-6,000 kg, 7,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg and over.Semi-trailers, load capacity up to 4,999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000-19,999 kg refers to 18,100-22,000 kg, 20,000 kg and over refers to 22,000 kg and over.Trailers, load capacity up to 4 999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg. Country: Latvia Includes vehicles that have been manufactured in the indicated or previous year only. Country: Lithuania Includes new and re-registered vehicles. Country: Portugal From 1996 new semi trailers include new trailers. Country: Serbia Refers to number of first time registered vehicles in the previous 2 years. Country: Sweden New trailers exclude caravans. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to lorries over 10,000 pounds. Vehicle Category: New light goods vehicles Includes all lorries
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      Country: Bosnia and Herzegovina ''Light goods road vehicles'' include ''Road tractors''. ''Trailers'' include ''Semi-trailers''. Country: Slovakia Light goods road vehicles refer to all lorries. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Croatia For data prior to 2015, refers to all lorries Country: Cyprus Light goods road vehicles refers to load capacity up to 2,999 kg. Lorries with permissible maximum gross weight 3,501 kg - 7,500 kg refers to load capacity 3,000 kg - 6,999 kg. Lorries with permissible maximum gross weight 7,501 kg - 12,000 kg refers to load capacity 7,000 kg - 9,999 kg. Lorries with permissible maximum gross weight 12,001 kg - 40,000 kg refers to load capacity 10,000 kg - 19,999 kg. Lorries with permissible maximum gross weight 40,000 kg and over refers to load capacity 20,000 kg and over. Country: Estonia ''Trailers'' include semi-trailers. Country: France ''Trailers'' includes only trailers with authorized total weight > = 6 tons. Country: Greece Includes both new vehicles and used vehicles from abroad. Country: Hungary Includes both new vehicles and used vehicles from abroad. Lorries includes special purpose motor vehicles. Trailers include semi-trailers and caravans. Country: Latvia Includes vehicles that have been manufactured in the indicated or previous year only. Country: Lithuania Includes new and re-registered vehicles. Country: Portugal From 1996 new semi trailers include new trailers. Country: Romania From 2013, light goods road vehicles refers to load capacity up to 2,999 kg. Country: Serbia Refers to number of first time registered vehicles in the previous 2 years. Country: Sweden New trailers exclude caravans. Country: The former Yugoslav Republic of Macedonia Semi-trailers refer to semi-trailers and trailers through 2010. From 2011 onward, trailers refer to semi-trailers and trailers. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to lorries over 10,000 pounds. Vehicle Category: New light goods vehicles For data prior to 2013, refers to all lorries.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      .. - data not available Country: Cyprus ''Petrol'' includes both diesel and petrol hybrid vehicles. Country: Greece Includes both new vehicles and used vehicles from abroad. Country: Hungary Includes both new vehicles and used vehicles from abroad. ''Petrol'' and ''diesel'' vehicles exclude hybrid vehicles. Country: Latvia Includes vehicles that have been manufactured in the indicated or previous year only. Country: Lithuania Includes new and re-registered vehicles. Country: Serbia Refers to number of first time registered vehicles in the previous 2 years. Country: United Kingdom Data refer to Great Britain.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      Country: Bosnia and Herzegovina ''Light goods road vehicles'' include ''Road tractors''. ''Trailers'' include ''Semi-trailers''. Country: Slovakia Light goods road vehicles refer to all lorries. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Croatia For data prior to 2015, refers to all lorries Country: Czechia ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. Country: Estonia ''Trailers'' include semi-trailers. Country: Greece Includes both new vehicles and used vehicles from abroad. Country: Hungary Includes both new vehicles and used vehicles from abroad. Country: Latvia Includes vehicles that have been manufactured in the indicated or previous year only. Country: Lithuania Includes new and re-registered vehicles. Country: Portugal From 1996 new semi trailers include new trailers. Country: Romania Motorcycles includes mopeds. Light goods road vehicles refers to lorries up to 2,999 kg. Country: Serbia Refers to number of first time registered vehicles in the previous 2 years. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to lorries over 10,000 pounds. Type of Vehicle: New light goods vehicles For data prior to 2013, refers to all lorries.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 11 जून, 2019
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      Country: Bosnia and Herzegovina''Light goods road vehicles'' include ''Road tractors''.Country: SlovakiaLight goods road vehicles refer to all lorries.Country: BulgariaLight goods road vehicles refer to all lorries.Country: CroatiaFor data prior to 2015, refers to all lorriesCountry: Cyprus''Petrol'' includes both diesel and petrol hybrid vehicles.Country: Czechia''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: GreeceIncludes both new vehicles and used vehicles from abroad.Country: HungaryIncludes both new vehicles and used vehicles from abroad. ''Petrol'' and ''diesel'' vehicles exclude hybrid vehicles. ''Motor coaches, buses, and trolleybuses'' exclude trolleybuses. ''Lorries'' include special purpose motor vehicles.Country: LatviaIncludes vehicles that have been manufactured in the indicated or previous year only.Country: LithuaniaIncludes new and re-registered vehicles.Country: SerbiaRefers to number of first time registered vehicles in the previous 2 years.Country: United KingdomData refer to Great Britain.Country: United StatesLorries refers to lorries over 10,000 pounds.Fuel Type: - Compressed natural gas (CNG)For passenger cars, includes liquefied natural gas (LNG).Fuel Type: - Hybrid electric-dieselFor light goods vehicles, lorries and road tractors, includes plug-in hybrid diesel electric vehicles.Fuel Type: - Hybrid electric-petrolFor light goods vehicles and lorries, includes plug-in hybrid petrol-electric vehicles.Type of Vehicle: New light goods vehiclesFor data prior to 2013, refers to all lorries.
    • दिसम्बर 2015
      Source: United Nations COMTRADE
      Uploaded by: Kirill Kosenkov
      Accessed On: 09 जनवरी, 2016
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      Nigeria imports and exports by commodity and partner country. HS1992 Classification, 2-digits and 4-digits commodities.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      This indicator presents the average number of new cases of non-fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The incidence rate is the average number of new cases of non-fatal occupational injury during the calendar year per 100,000 workers in the reference group. Data are presented disaggregated by sex and economic activity, according to the latest version available of the International Standard Industrial Classification of all Economic Activities (ISIC).
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 16 सितम्बर, 2019
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      This indicator conveys the rate of non-fatal occupational injuries per 100'000 workers in the reference group. An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; an occupational injury is therefore distinct from an occupational disease, which is a disease contracted as a result of an exposure over a period of time to risk factors arising from work activity. An occupational accident is an unexpected and unplanned occurrence, including acts of violence, arising out of or in connection with work which results in one or more workers incurring a personal injury, disease or death. A case of occupational injury is the case of one worker incurring an occupational injury as a result of one occupational accident. An occupational injury could be fatal (as a result of occupational accidents and where death occurred within one year of the day of the accident) or non-fatal with lost work time. The workers in the particular group under consideration and covered by the source of the statistics of occupational injuries are known as the workers in the reference group. In the case of a notification system, it is the number of workers in, for example, the establishments or selected economic activities covered by the system as set out in the relevant legislation or regulations. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The incidence rate is the average number of new cases of non-fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • अगस्त 2019
      Source: Statistics Canada
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2019
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    • फरवरी 2019
      Source: The National Committee on North Korea
      Uploaded by: Knoema
      Accessed On: 12 अगस्त, 2019
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    • अप्रैल 2018
      Source: Statistics Norway
      Uploaded by: Knoema
      Accessed On: 03 अप्रैल, 2019
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      Major change in coverage in 2011. Consult About the statistics Only vessels at or above 1 000 gross tonnage. No fishing vessels.
    • जुलाई 2019
      Source: National Statistical Office of Mongolia
      Uploaded by: Knoema
      Accessed On: 13 सितम्बर, 2019
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      It covers foreign passengers who have crossed the border of Mongolia.
    • जुलाई 2019
      Source: National Statistical Office of Mongolia
      Uploaded by: Knoema
      Accessed On: 13 सितम्बर, 2019
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      A tourist refers a person who travels to and stays in places outside his usual environment for not more than 183 days for purposes other than employment.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      Labour inspection visits refer to the physical presence of a labour inspector in a workplace for the purpose of carrying out a labour inspection and which is duly documented as required by national legislation.
    • नवम्बर 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 दिसम्बर, 2017
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      Live births are the births of children that showed any sign of life.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      A strike is a temporary work stoppage carried out by one or more groups of workers with a view to enforcing or resisting demands or expressing grievances, or supporting other workers in their demands or grievances. A lockout is a total or partial temporary closure of one or more places of employment, or the hindering of the normal work activities of employees, by one or more employers with a view to enforcing or resisting demands or expressing grievances, or supporting other employers in their demands or grievances. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
  • O
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
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      The annual Eurostat's collections on population are structured as follows:
    • जून 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 032 -- Origin and background country by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_032.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Background country Background country data are explained in the Concepts webpage, see link
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      This indicator is a proxy for financial protection in case of ill health. It represents the amount of money paid directly to health care providers in exchange for health goods and services as a percentage of total health expenditure. A higher figure indicates higher percentage of out-of-pocket payments. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2019
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  • P
    • अगस्त 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 20 अगस्त, 2019
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      Country: SerbiaTerritorial change (2000 onward): Data do not cover Kosovo and Metohija.Country: CanadaMotorcycles include mopeds. Passenger cars refers to all vehicles with at least four wheels weighing less than 4,500 kg.Country: Czechia''Motor coaches, buses, etc'' excludes trolleybuses. ''Mopeds'' includes mopeds and motorcycles with engines 50 cc or less.Country: FinlandExcluding mopeds registered in Aland. Trams in Helsinki/Helsingfors only.Country: Hungary''Motor coaches, buses, etc'' excludes trolleybuses. ''Trams'' include cogwheel trams.Country: LatviaData from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data.Country: LithuaniaThe state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014.Country: MaltaMopeds include quads and all-terrain vehicles (ATVs).Country: Switzerland''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = < 20 years refers to greater than 10 years. Until 2013, 2 > or = 5 years refers to less than 5 years.Country: The former Yugoslav Republic of Macedonia''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = < 20 years refers to greater than 10 years. Until 2013, 2 > or = 5 years refers to less than 5 years.Country: Russian Federation''Motor coaches, buses, etc'' excludes trolleybuses. ''Motorcycles'' includes 3-wheelers and quadricycles.Country: SlovakiaFor data years up to 2008, mopeds are included with motorcycles.Country: Sweden''Mopeds'' refer only to class 1 mopeds.Country: United KingdomData refer to Great Britain.Country: United StatesFrom 2007, passenger cars refers to 'Light duty vehicles, short wheel base'. Prior to 2007, passenger cars referred to 'Passenger Cars and Other 2-axle, 4-tire vehicles'. Motor coaches, buses, etc refer to those used on interstates only. 'Motorcycles' include mopeds
    • दिसम्बर 2018
      Source: Passport Index
      Uploaded by: Knoema
      Accessed On: 17 दिसम्बर, 2018
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      Passport Index is an interactive tool, which collects, displays and ranks the passports of the world. You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover. Visa Free Score Passports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival. Passport Power Rank Passports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank. Methodology The country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
    • दिसम्बर 2018
      Source: World Intellectual Property Organization
      Uploaded by: Knoema
      Accessed On: 11 दिसम्बर, 2018
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      Data cited at: "WIPO statistics database" which is made available under a BY 3.0 IGO License   Total Patent Applications Total Count by Applicant's Origin Zaire, officially the Republic of Zaire, was the name of Democratic Republic of the Congo between 1971 and 1997.
    • अगस्त 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 अगस्त, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • अगस्त 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 अगस्त, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • अगस्त 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 अगस्त, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • अगस्त 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 अगस्त, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      Description not available
    • मार्च 2019
      Source: National Institute of Statistics, Italy
      Uploaded by: Knoema
      Accessed On: 04 मार्च, 2019
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      Data source(s) used: Persons convicted for crime with irrevocable judgement: Survey on convicted persons for felony and misdemeanor with irrevocable judgement, type of crimes and misdemeanors committed, main features of the convicted persons and of the sentence. Other data characteristics: The number of persons convicted by type of crime is calculated on the most serious crime committed. The number of convicted persons by final judgement and the number of crimes is available with reference to two types of classifications. An analytical classification including about 470 items of crime, and a synthetic one, where the individual items are hierarchically grouped in 130 items broadly reflecting the Titles, Books and Sections of the Italian Penal Code. The complementary legislation is organized grouping the type of crimes by subject. The analytical classification of the types of crimes committed is given only in Italian language, as many crimes present in the Italian legislation do not have an exact match in the laws of other Countries. The literal translation of this classification is not available because the meaning of the legal terms translated into English could lead to misleading interpretations. An international classification is not available yet. "Number of concurrent crimes" means the total number of crimes committed by the convicted person. "1" means that the offender committed only one kind of crime. "2", "3", "4 and over" mean that, in addition to the most serious crime evident in the table, the offender committed other crimes.
    • दिसम्बर 2018
      Source: Political Terror Scale
      Uploaded by: Knoema
      Accessed On: 30 जनवरी, 2019
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      citation: Gib­ney, Mark, Linda Cor­nett, Reed Wood, Peter Hasch­ke, and Daniel Arnon. 2016. The Polit­ic­al Ter­ror Scale 1976-2015. Date Re­trieved, from the Polit­ic­al Ter­ror Scale website: ht­tp://www.polit­ic­al­ter­rorscale.org.   Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare. 2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare. 3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted. 4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas. 5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • फरवरी 2019
      Source: Statistics Sweden
      Uploaded by: Knoema
      Accessed On: 01 मार्च, 2019
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    • मार्च 2009
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
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    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
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      These summary metadata refer to the first results on the main demographic developments in the year of reference. The first results on the main demographic developments in the year of reference (T) contain the total population figure on 31 December of year T (further published by Eurostat as Population on 1 January of year T+1), and total births and total deaths during that year. While submitting this data is a legal requirement from EU Member States (EU Regulation No 1260/2013 on European Demographic Statistics, which entered into force on 1 January 2014), countries submit on voluntary basis data also on immigration and emigration that occurred during the course of the year (T). Eurostat's data collection on the above figures is called DEMOBAL and it is carried out in June of each year. Eurostat publishes these first demographic estimates in July of each year in the online database, in the table Population change - Demographic balance and crude rates (demo_gind). These first demographic estimates may either be confirmed or updated by the Eurostat demographic data collection taking place in December each year (called Unidemo), whereby countries submit detailed breakdowns (e.g. by age and sex) of their yearly population data, including data on migration, both at national and at regional level. The online table Population change - Demographic balance and crude rates (demo-gind) will be accordingly updated. This table includes the latest updates on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Eurostat database (Demography domain and Migration, for example the Population by citizenship and by country of birth table) may be transmitted to Eurostat at a subsequent date. Please note that the time series before 2013 available in the online table Population change - Demographic balance and crude rates (demo-gind) were collected by Eurostat from the national statistical offices in the past, on voluntary basis. The individual metadata files reported by the countries are also attached.
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
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      These summary metadata refer to the first results on the main demographic developments in the year of reference. The first results on the main demographic developments in the year of reference (T) contain the total population figure on 31 December of year T (further published by Eurostat as Population on 1 January of year T+1), and total births and total deaths during that year. While submitting this data is a legal requirement from EU Member States (EU Regulation No 1260/2013 on European Demographic Statistics, which entered into force on 1 January 2014), countries submit on voluntary basis data also on immigration and emigration that occurred during the course of the year (T). Eurostat's data collection on the above figures is called DEMOBAL and it is carried out in June of each year. Eurostat publishes these first demographic estimates in July of each year in the online database, in the table Population change - Demographic balance and crude rates (demo_gind). These first demographic estimates may either be confirmed or updated by the Eurostat demographic data collection taking place in December each year (called Unidemo), whereby countries submit detailed breakdowns (e.g. by age and sex) of their yearly population data, including data on migration, both at national and at regional level. The online table Population change - Demographic balance and crude rates (demo-gind) will be accordingly updated. This table includes the latest updates on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Eurostat database (Demography domain and Migration, for example the Population by citizenship and by country of birth table) may be transmitted to Eurostat at a subsequent date. Please note that the time series before 2013 available in the online table Population change - Demographic balance and crude rates (demo-gind) were collected by Eurostat from the national statistical offices in the past, on voluntary basis. The individual metadata files reported by the countries are also attached.
    • जुलाई 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 जुलाई, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.
    • सितम्बर 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2019
      Select Dataset
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 24 मई, 2019
      Select Dataset
      The annual Eurostat's collections on population are structured as follows:
    • फरवरी 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 04 मार्च, 2019
      Select Dataset
      The annual Eurostat's collections on population are structured as follows:
    • अगस्त 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 20 अगस्त, 2019
      Select Dataset
      The annual Eurostat's collections on population are structured as follows:
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 22 मई, 2019
      Select Dataset
      The annual Eurostat's collections on population are structured as follows:
    • मई 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 23 मई, 2019
      Select Dataset
      The annual Eurostat's collections on population are structured as follows:
    • मई 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2019
      Select Dataset
      The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/
    • मई 2015
      Source: Earth Policy Institute
      Uploaded by: Knoema
      Accessed On: 26 जून, 2015
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      This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
    • अप्रैल 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 05 मई, 2019
      Select Dataset
      The annual Eurostat's collections on population are structured as follows:
    • दिसम्बर 2016
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 02 मार्च, 2017
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    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      Description not available
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
      Select Dataset
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • सितम्बर 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 सितम्बर, 2019
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      The total public sector employment covers all employment of general government sector as defined in System of National Accounts 1993 plus employment of publicly owned enterprises and companies, resident and operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, without regard for the particular type of employment contract. For more information, see the working paper: Statistics on Public Sector Employment: Methodology, Structures and Trends.
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      Description not available
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Description not available
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      Description not available
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
      Select Dataset
      Description not available
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
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      Description not available
  • Q
    • जनवरी 2019
      Source: Quality of Government Institute
      Uploaded by: Knoema
      Accessed On: 01 फरवरी, 2019
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      Data cited at: The Quality of Government Institute; Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Richard Svensson. 2018. The Quality of Government Standard Dataset, version Jan18. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGStdJan18   In the QoG Standard TS dataset, data from 1946 to 2018 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).    
  • R
    • जून 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 07 जून, 2019
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      The annual Eurostat's collections on population are structured as follows:
    • अगस्त 2012
      Source: Multiple Sources
      Uploaded by: Carpe Facto
      Select Dataset
      Spread of religions across the World, by country
    • अगस्त 2019
      Source: Reserve Bank of Australia
      Uploaded by: Knoema
      Accessed On: 01 सितम्बर, 2019
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      Reserve Bank of Australia Assets and Liabilities
    • अगस्त 2019
      Source: National Institute of Statistics, Italy
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2019
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      Data source(s) used: Migration and calculation of foreign resident population and structure by citizenship The survey allows the calculation of the demographic balance of the foreign resident population and gives the amount of foreign residents for each year. Foreign resident population is represented by individuals who do not have Italian citizenship having usual residence in Italy. It is calculated for each municipality on December 31st of each year that follows the population Census, adding to the foreign population enumerated by the census the foreign population inflows and outflows recorded during each calendar year Other data characteristics: Data subject to change for reconstruction after the last Population census
    • सितम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2018
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      Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
    • फरवरी 2019
      Source: Global Finance Magazine
      Uploaded by: Knoema
      Accessed On: 02 अप्रैल, 2019
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    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
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      For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
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      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by day of week cover accidents only at Police responsibility areas between 2000-2011 whereas between 2012-2015 data cover both Police and Gendermarie responsibility areas. Data on fatalities and injured persons cover both Police and Gendermarie responsiblity areas. Until 2015 figures on persons killed include the deaths only at the accident scene. Since 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
      Select Dataset
      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Cyprus Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” until 2005. Country: Estonia Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” until 2005. Country: Georgia Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” until 2005. Country: Kyrgyzstan Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness”. Country: Monaco Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness”. Country: Ukraine Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness”. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Slovenia Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” through 2007. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by light condition cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
      Select Dataset
      .. - data not available Definition:Motorway: Road, specially designed and built for motor traffic, which does not serve properties bordering on it, and which a) Is provided, except at special points or temporarily, with separate carriageways for the two directions of traffic, separated from each other either by a dividing strip not intended for traffic or, exceptionally, by other means; b) Does not cross at level with any road, railway or tramway track, or footpath; and c) Is specially sign posted as a motorway. Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Croatia Data for motorways are included under items for inside built-up areas and outside built-up areas between 1999 and 2004. Country: Ireland Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Israel Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Kazakhstan Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Kyrgyzstan Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
      Select Dataset
      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
      Select Dataset
      Source: UNECE Transport Division Database. Definition: Accidents between vehicle and pedestrian: Accidents involving one or several vehicles and pedestrians irrespective of whether the pedestrian was involved in the first or a later phase of the accident and of whether the pedestrian was injured or killed on or off the road. Single vehicle accidents: Accidents involving no collision with other road users, even though they may be involved, i.e. vehicle trying to avoid collision and veering off the road, or accident caused by collision with obstructions or animals on the road. Collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Accidents between vehicles: Remainder of Accidents between vehicle and pedestrian and Single vehicle accidents. Rear-end collision: Accident caused by a rear-end collision with another vehicle using the same lane of a carriageway and moving in the same direction or temporarily stopping due to the traffic conditions. Rear end collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Collision due to crossing or turning: Accident caused by a rear-end or head on collision with another vehicle moving in a lateral direction due to leaving or entry from/to another lane, road or premise. Rear end or head on collisions with vehicles waiting to turn belong to either Rear-end collision or Head on collision. Head on collision: Accident caused by a head on collision with another vehicle using the same lane of a carriageway and moving in the opposite direction or temporarily stopping due to traffic conditions. Head on collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Other collision, including collision with parked vehicles: Accident caused by driving side by side, while overtaking each other or when changing lanes (cutting in on someone), or by a rear-end or head-on collision with a stationary vehicle which stops or parks deliberately and not as a result of traffic conditions at the edge of a carriageway, on shoulders, on marked parking spaces, on footpaths or parking sites. Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Built-up area: An area with entries and exits specially sign-posted as such. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Croatia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Georgia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by nature of accident cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 15 सितम्बर, 2019
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      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by road condition cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 12 सितम्बर, 2019
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      Source: UNECE Transport Division Database. Definition: Accidents between vehicle and pedestrian: Accidents involving one or several vehicles and pedestrians irrespective of whether the pedestrian was involved in the first or a later phase of the accident and of whether the pedestrian was injured or killed on or off the road. Single vehicle accidents: Accidents involving no collision with other road users, even though they may be involved, i.e. vehicle trying to avoid collision and veering off the road, or accident caused by collision with obstructions or animals on the road. Collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Accidents between vehicles: Remainder of Accidents between vehicle and pedestrian and Single vehicle accidents. Rear-end collision: Accident caused by a rear-end collision with another vehicle using the same lane of a carriageway and moving in the same direction or temporarily stopping due to the traffic conditions. Rear end collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Collision due to crossing or turning: Accident caused by a rear-end or head on collision with another vehicle moving in a lateral direction due to leaving or entry from/to another lane, road or premise. Rear end or head on collisions with vehicles waiting to turn belong to either Rear-end collision or Head on collision. Head on collision: Accident caused by a head on collision with another vehicle using the same lane of a carriageway and moving in the opposite direction or temporarily stopping due to traffic conditions. Head on collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Other collision, including collision with parked vehicles: Accident caused by driving side by side, while overtaking each other or when changing lanes (cutting in on someone), or by a rear-end or head-on collision with a stationary vehicle which stops or parks deliberately and not as a result of traffic conditions at the edge of a carriageway, on shoulders, on marked parking spaces, on footpaths or parking sites. Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Built-up area: An area with entries and exits specially sign-posted as such. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Croatia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Georgia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Serbia Breakdown includes data from accidents on motorways within built-up areas. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: The former Yugoslav Republic of Macedonia Sum of breakdown does not equal total as breakdown includes accidents taking place on motorways. Country: Turkey Data by nature of accident cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • अगस्त 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 20 अगस्त, 2019
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      Source: UNECE Transport Division Database. Definitions Passenger: Any person, other than the driver, who is in or on a vehicle. Road vehicle: A vehicle running on wheels and intended for use on roads. Passenger car: Road motor vehicle, other than a motor cycle, intended for the transport of passengers and seating not more than nine persons (including the driver). The term passenger car therefore covers taxis and hired vehicles, provided that they have fewer than ten seats. Motor coach or bus: Passenger road motor vehicle, seating more than nine persons (including the driver). Trolleybus: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is not rail-borne. Road tractor : Road motor vehicle designed, exclusively or primarily, to haul other road vehicles which are not power-driven (mainly semi-trailers). Agricultural tractors are excluded. Please note that country footnotes are not always in alphabetical order. .. - data not available Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Country: Azerbaijan For 2010, data for the 2 > or = 5 years category refers to Country: Belgium Excluding vehicles for which technical characteristics are unknown. Country: Bosnia and Herzegovina ''Light goods road vehicles'' include ''Road tractors''. ''Trailers'' include ''Semi-trailers''. Country: Kazakhstan Light goods road vehicles refer to all lorries. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Canada Passenger cars refers to all vehicles with at least four wheels weighing less than 4,500 kg Country: Croatia For data prior to 2015, refers to all lorries Country: Switzerland ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. Country: Czechia ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = Country: The former Yugoslav Republic of Macedonia ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = Country: Finland Excluding vehicles registered in Aland. Country: Hungary ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. ''Lorries'' includes special purpose motor vehicles. Country: Ireland > 10 and = Country: Luxembourg > 10 and = Country: Norway > 10 and = Country: Latvia Data from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data. Country: Latvia For data prior to 2014, > 10 and = 10 years Country: Lithuania The state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014. Country: Russian Federation ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = or = 5 years refers to less than 5 years. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks'' Country: United States From 2007, passenger cars refers to 'Light duty vehicles, short wheel base'. Prior to 2007, passenger cars referred to 'Passenger Cars and Other 2-axle, 4-tire vehicles'. Motor coaches, buses, etc refer to those used on interstates only. Type of Vehicle: Light goods road vehicles For data prior to 2013, refers to all lorries. Age Group: > 10 and = For data prior to 2013, refers to > 10 years
    • अगस्त 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 20 अगस्त, 2019
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      Country: SerbiaTerritorial change (2000 onward): Data do not cover Kosovo and Metohija.Country: Bosnia and Herzegovina''Light goods road vehicles'' include ''Road tractors''.Country: KazakhstanLight goods road vehicles refer to all lorries.Country: BulgariaLight goods road vehicles refer to all lorries.Country: CanadaPassenger cars refers to all vehicles with at least four wheels weighing less than 4,500 kgCountry: CroatiaFor data prior to 2015, refers to all lorriesCountry: Cyprus''Petrol'' includes both diesel and petrol hybrid vehicles.Country: Czechia''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: Russian Federation''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: Switzerland''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: The former Yugoslav Republic of Macedonia''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: EstoniaElectric motor coaches, bus, and trolleybuses refers to trolleybuses only.Country: FinlandExcluding vehicles registered in Aland.Country: Hungary''Motor coaches, Buses and Trolleybuses'' excludes trolleybuses. ''Petrol'' and ''diesel'' vehicles exclude hybrid vehicles. ''Other sources'' includes hybrid vehicles.Country: Italy''Petrol'' and ''diesel'' vehicles exclude hybrid vehicles.Country: LatviaData from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data.Country: LithuaniaThe state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014.Country: United KingdomData refer to Great Britain.Country: United StatesLorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks''Country: United StatesFrom 2007, passenger cars refers to 'Light duty vehicles, short wheel base'. Prior to 2007, passenger cars referred to 'Passenger Cars and Other 2-axle, 4-tire vehicles'. Motor coaches, buses, etc refer to those used on interstates only.Fuel Type: - Compressed natural gas (CNG)For passenger cars, includes liquefied natural gas (LNG).Fuel Type: - Hybrid electric-dieselFor light goods vehicles, lorries and road tractors, includes plug-in hybrid diesel electric vehicles.Fuel Type: - Hybrid electric-petrolFor light goods vehicles and lorries, includes plug-in hybrid petrol-electric vehicles.Type of Vehicle: Light goods road vehiclesFor data prior to 2013, refers to all lorries.
  • S
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      This indicator conveys the share of employment in manufacturing. Employment in manufacturing is defined based on the International Standard Industrial Classification of All Economic Activities (ISIC). Employment refers to all persons of working age who, during a specified brief period, were in paid employment (whether at work or with a job but not at work) or in self-employment (whether at work or with an enterprise but not at work). This indicator is calculated based on data on employment by sex and economic activity. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • अगस्त 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
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      Accessed On: 05 अक्तूबर, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • मई 2019
      Source: United Nations Conference on Trade and Development
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      Accessed On: 06 अगस्त, 2019
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      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC). The figures are shown in four different measures:millions of United States dollarspercentages of the world totalannual percentage changes (growth rates)shares of each service category in total services.   Sources: UNCTAD, WTO and ITC secretariats’ calculations, based on:IMF, Balance of Payments StatisticsEurostat, online databaseOECD, OECD.StatUN DESA Statistics Division, UN Service Trade Statistical DatabaseOther international and national sourcesUNCTAD-WTO estimates.
    • सितम्बर 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 12 सितम्बर, 2019
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      For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      The adult population is defined as persons aged 25 and over, unless otherwise specified. This indicator expresses the adult population with advanced education (tertiary education) as a percent of the total adult population.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Data provided refers to the employment in the agriculture sector as a share of total employment.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      The contributing family workers are employed persons who work in an establishment usually operated by a related person living in the same household. Data provided refers to this category of workers as a percent of total employment.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      The contributing family workers are employed persons who work in an establishment usually operated by a related person living in the same household. Data provided refers to this category of workers as a percent of total employment, exclusively for males.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      The contributing family workers are employed persons who work in an establishment usually operated by a related person living in the same household. Data provided refers to this category of workers as a percent of total employment, exclusively for females.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Employers are workers who, on their own or jointly with other persons, control their enterprise and hire paid employees on a continuous basis. This indicator expresses the number of employers as a percent of total employment.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Employers are workers who, on their own or jointly with other persons, control their enterprise and hire paid employees on a continuous basis. This indicator expresses the number of male employers as a percent of the total male employment.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Employers are workers who, on their own or jointly with other persons, control their enterprise and hire paid employees on a continuous basis. This indicator expresses the number of female employers as a percent of the total female employment.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Data provided refers to the employment in the industry sector as a share of total employment.
    • अगस्त 2019
      Source: Eurostat
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      Accessed On: 17 अगस्त, 2019
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      Not applicable
    • सितम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 सितम्बर, 2018
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      Data provided refers to persons in paid employment in the non-agricultural sector as a percent of total non-agricultural employment.
    • सितम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 सितम्बर, 2018
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      Data provided refers to persons in paid employment in the non-agricultural sector as a percent of total non-agricultural employment, for men.
    • सितम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 सितम्बर, 2018
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      Data provided refers to persons in paid employment in the non-agricultural sector as a percent of total non-agricultural employment, for women.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Data provided refers to the employment in the services sector as a share of total employment.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. This indicator presents the number of unemployed with an advanced level of education (tertiary education) as a percent of the unemployed population.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      Data provided refers to the unemployed persons whose level of education is primary or lower-secondary as a percent of the labour force with the same education level.
    • जुलाई 2019
      Source: International Labour Organization
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      Accessed On: 01 अगस्त, 2019
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      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. This indicator presents the number of unemployed with an intermediate level of education (upper-secondary or post-secondary non-tertiary education) as a percent of the unemployed population.
    • अगस्त 2018
      Source: Social Progress Imperative
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      Accessed On: 21 नवम्बर, 2018
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      Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • अगस्त 2018
      Source: International Labour Organization
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      Accessed On: 31 अगस्त, 2018
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      This indicator is a proxy for the availability of health care. It represents the percentage of the population without access to health care due to the absence of the health workforce. The threshold for having a sufficient health workforce is 41.1 health workers per 10 000 population. A higher figure indicates worse availability. Note that this indicator reflects the supply side of availability, in this case the availability of human resources is at a level that guarantees at least basic, but universal, access. To estimate access to the services of skilled medical professionals (physicians, nursing and midwifery personnel), it uses as a proxy the relative difference between the density of these health workers in a given country (number per 10 000 population) and its median value in countries with a low level of vulnerability (defined according to the structure of employment and levels of poverty).To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. The same principle applies to the staff access deficit indicator, for which the 2014 median in low-vulnerability countries was 41.1. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • फरवरी 2015
      Source: World Life Expectancy
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      Accessed On: 07 मई, 2015
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    • अप्रैल 2019
      Source: Organisation for Economic Co-operation and Development
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      Accessed On: 12 अप्रैल, 2019
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    • मई 2018
      Source: Suriname Tourism Foundation
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      Accessed On: 03 जुलाई, 2018
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      Location:-Visitors are coming from mentioned location.(World is total of all visitors) Nationality:-Nationality of visitors, whether the nationality of the visitors is same as the location or they belong to different nationality.(Under this dimension "Total" represents total number of visitors by their nationality) Ports:-Tourist arrival via ports.
    • जून 2019
      Source: Sustainable Development Solutions Network
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      Accessed On: 09 जुलाई, 2019
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      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
    • नवम्बर 2018
      Source: United Nations Statistics Division
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      Accessed On: 10 दिसम्बर, 2018
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      The Sustainable Development Goals Report 2018 reviews progress in the third year of implementation of the 2030 Agenda presenting an overview with charts and info-graphics of highlights of the 17 Goals, followed by chapters that focus in more depth on the Goals under review at the high-level political forum in July 2018. This report follows the recently published report of the United Nations Secretary-General on "Progress towards the Sustainable Development Goals" (E/2018/64), both of which are based on the global indicator framework developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed by the General Assembly in July 2017 in resolution 71/313. The launch of The Sustainable Development Goals Report 2018 is accompanied by the Global SDG Indicators Database, which presents country level data and global and regional aggregates compiled through the UN System and other international organizations.
  • T
    • जून 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 14 जून, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • जून 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 25 जून, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Tajikistan Data source: 2000, 2010 - population and housing census; 2011-2014 - source unspecified. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • जून 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 01 जुलाई, 2019
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      The total for ''All countries'' includes persons for whom the country of previous residence is unknown.UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia In 2001 and 2011 the registered data refer to the date of conducting the Population Census and the number exceeds the total foreign population living in Armenia. Data from 2014 onwards are based on administrative sources. Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: 2009 - population and housing census; 2010 and onwards - residence permits. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. In 2011 and 2012, the full break down by age and sex is not available for some countries of previous residence. The total flow from each country of previous residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine 2001 data include all those who have ever moved. Data source: 2001 - population and housing census; 2011, 2012 - residence permits. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • जून 2019
      Source: United Nations Economic Commission for Europe
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      Accessed On: 25 जून, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. The total for ''All countries'' includes persons for whom the country of next residence is unknown. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: exit permits. Country: Kyrgyzstan For a number of persons the information on the country of next residence is missing in the source. Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. In 2011 and 2012, the full break down by age and sex is not available for some countries of next residence. The total flow from each country of next residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine Data source: administrative source. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 14 जून, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained a permanent residence permit in Azerbaijan. Azer citizens returning from abroad are not included in the total number. Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. Data source: administrative source. Country: Ukraine Data source: 2001 - population and housing census; 2011, 2012 - residence permits.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 14 जून, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained an exit permit in Azerbaijan. Azer citizens are not included in the total number. Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. Data source: administrative source. Country: Ukraine Data source: administrative source.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 25 जून, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: administrative source. Country: Georgia Data source: civil register. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation Data source: administrative source. Country: Ukraine Data source: administrative source.
    • जून 2019
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 25 जून, 2019
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      The UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA), established with the purpose of improving the understanding of migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Moldova, Republic of Data source: population register. Country: Tajikistan Disaggregation by sex is only available for people who immigrated for work purposes. Data source: work permits.
    • सितम्बर 2018
      Source: National Bureau of Economic Research
      Uploaded by: Knoema
      Accessed On: 15 जनवरी, 2019
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      sThe Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index was initially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  
    • जनवरी 2019
      Source: International Finance and Macroeconomics (IFM) Milken Institute
      Uploaded by: Knoema
      Accessed On: 11 फरवरी, 2019
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      The Global Opportunity Index (GOI) answers a pressing need for information that's vital to a thriving global economy like what policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation, everything multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments.   Methodology The GOI considers economic and financial factors that influence investment activities as well as key business, legal and regulatory policies that governments can modify to support and often drive investments. Overall, it tracks countries’ performance on more than 50 variables aggregated in five categories, each measuring an aspect of a country’s attractiveness for investors: (1) its economic performance; (2) the ability for investors to access financial services; (3) the cost of doing business; (4) the level of support its institutions provide to businesses; and (5) the extent to which its institutions, policies, and legal system facilitate international integration.
    • जून 2018
      Source: World Inequality Database
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      Accessed On: 08 जून, 2018
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      The World Inequality Report 2018 relies on a cutting-edge methodology to measure income and wealth inequality in a systematic and transparent manner. By developing this report, the World Inequality Lab seeks to fill a democratic gap and to equip various actors of society with the necessary facts to engage in informed public debates on inequality.   Table: MacroData: Which contains macro data series (aggregate and total income and wealth variables, as well as population variables and other macro indicator such as deflators, exchange rates, etc.) Inequality Data: Which contains inequality data series (income and wealth shares, thresholds, averages for different percentiles of the population).
    • दिसम्बर 2015
      Source: United Nations Statistics Division
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      Accessed On: 19 अगस्त, 2017
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      Data cited at: United Nations Statistics Division https://unstats.un.org/home/ Publication: https://unstats.un.org/unsd/gender/worldswomen.html License: https://creativecommons.org/licenses/by-nc/4.0/   The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
    • फरवरी 2019
      Source: World Integrated Trade Solution
      Uploaded by: Knoema
      Accessed On: 07 मार्च, 2019
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      This dataset provides trade and tariff data for countries where the reporter is "World".
    • अगस्त 2019
      Source: Eurostat
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      Accessed On: 17 अगस्त, 2019
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      Eurostat’s annual data collections on demographic statistics are structured as follows:
    • जुलाई 2019
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2019
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      Description not available
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      Description not available
    • अक्तूबर 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2014
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      Estimates and forecasts on labour force data: (1) Total labour force and female labour force, expressed in thousands (2) Total agriculture labour force and female labour force, expressed in thousands.
    • सितम्बर 2018
      Source: National Bureau of Statistics of the Republic of Moldova
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      Accessed On: 29 नवम्बर, 2018
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      Source: National Bureau of Statistics of the Republic of Moldova http://www.statistica.md/index.php?l=en Topic: Statbank, Regional statistics Publication: http://statbank.statistica.md/pxweb/pxweb/en/60%20Statistica%20regionala/60%20Statistica%20regionala__19%20TRA/?rxid=5360837a-13b5-4912-a2e0-12892e96d2ab License: http://creativecommons.org/licenses/by/4.0/   Tourism & Transport Statistics of Moldova, 2015
    • जुलाई 2019
      Source: Statistics Botswana
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      Accessed On: 19 जुलाई, 2019
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      Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana
    • अक्तूबर 2018
      Source: National Statistics Bureau, Bhutan
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      Accessed On: 20 दिसम्बर, 2018
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    • दिसम्बर 2018
      Source: Ministry of Tourism, Government of India
      Uploaded by: Knoema
      Accessed On: 04 अप्रैल, 2019
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      Source details: India Tourism Statistics 2017
    • जनवरी 2016
      Source: National Institute of Statistics, Madagascar
      Uploaded by: Knoema
      Accessed On: 12 जुलाई, 2019
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      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
    • जून 2018
      Source: Pew Research Center
      Uploaded by: Knoema
      Accessed On: 22 अगस्त, 2018
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      Levels of restrictions on religion Government Restrictions Index Very high- 6.6 to 10.0 High- 4.5 to 6.5 Moderate - 2.4 to 4.4 Low- 0.0 to 2.3 Social Hostilities Index Very high- 7.2 to 10.0 High- 3.6 to 7.1 Moderate- 1.5 to 3.5 Low- 0.0 to 1.4
  • U