एक त्रुटि हुई. विवरण छिपाओ
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Maldives

  • President:Abdulla Yameen Abdul Gayoom
  • Vice President:Abdulla Jihad
  • Capital city:Male
  • Languages:Dhivehi (official, dialect of Sinhala, script derived from Arabic), English (spoken by most government officials)
  • Government
  • National statistics office
  • Population, persons:4,36,330 (2017)
  • Area, sq km:300 (2017)
  • GDP per capita, US$:10,536 (2017)
  • GDP, billion current US$:4.6 (2017)
  • GINI index:38.4 (2009)
  • Ease of Doing Business rank:136 (2017)
All datasets:  3 A B C D E F G H I J K L M N O P Q R S T U V W Y
  • 3
    • अक्तूबर 2016
      Source: Philipps-University of Marburg, Empirical Institutional Economics
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2016
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      The 3P Anti-trafficking Policy Index evaluates governmental anti-trafficking efforts in the three main policy dimensions (3Ps), based on the requirements prescribed by the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children (2000).   The three main policy dimensions (3Ps) are:Prosecution of perpetrators of human traffickingPrevention of human traffickingProtection of the victims of human trafficking Each of the 3P areas is evaluated on a 5-point scale and each index is aggregated to the overall 3P Anti-trafficking Index as the  sum (score 3-15).Prosecution Index Score: 1 (no compliance) - 5 (full compliance)Prevention Index Score: 1 (no compliance) - 5 (full compliance)Protection Index Score: 1 (no compliance) - 5 (full compliance)3P Anti-trafficking Policy Index Score: 3 (no compliance for any of the three areas) - 15 (full compliance for all of the three areas) The 3P Anti-trafficking Policy Index is available for each country and each year and currently includes up to 189 countries for the preiod from 2000 to 2015.
  • 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
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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      This indicator aims to capture the share of persons in the labour force protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the labour force that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      This indicator aims to capture the share of persons in the labour force protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the labour force that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • फरवरी 2018
      Source: Ministry of Tourism, Government of India
      Uploaded by: Knoema
      Accessed On: 10 अप्रैल, 2018
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      This dataset provides data for foreign tourist arrivals distributed by age  group.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 जनवरी, 2018
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      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 19 दिसम्बर, 2017
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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.
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 19 दिसम्बर, 2017
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      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • मई 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 जुलाई, 2015
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    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 25 मई, 2018
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      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • जुलाई 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 06 जुलाई, 2018
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      Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from bilateral and multilateral donors which focus on flows from DAC member countries and the EU Institutions.
    • जून 2013
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 21 नवम्बर, 2014
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      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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      This indicator conveys the annual growth rates of labour productivity. Labour productivity represents the total volume of output (measured in terms of Gross Domestic Product, GDP) produced per unit of labour (measured in terms of the number of employed persons) during a given time reference period. The indicator allows data users to assess GDP-to-labour input levels and growth rates over time, thus providing general information about the efficiency and quality of human capital in the production process for a given economic and social context, including other complementary inputs and innovations used in production. For further information, see the SDG Indicators Metadata Repository or ILOSTAT’s indicator description.
    • दिसम्बर 2017
      Source: Islamic Development Bank (IDB)
      Uploaded by: Knoema
      Accessed On: 29 मार्च, 2018
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    • 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.
    • मार्च 2018
      Source: Stockholm International Peace Research Institute
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2018
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      The SIPRI Arms Transfers Database contains information on all transfers of major conventional weapons from 1950 to the most recent full calendar year. It is a unique resource for researchers, policy-makers and analysts, the media and civil society interested in monitoring and measuring the international flow of major conventional arms. For more information, see http://www.sipri.org/databases/armstransfers/sources-and-methods/
    • अक्तूबर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2018
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      APD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Asia and Pacific. Data for the REO for Asia and Pacific is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • 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
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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, for men.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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, for women.
  • B
    • अक्तूबर 2018
      Source: Information & eGovernment Authority of Bahrain
      Uploaded by: Knoema
      Accessed On: 22 अक्तूबर, 2018
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    • जून 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 12 अक्तूबर, 2015
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    • जनवरी 2018
      Source: National Statistics Bureau, Bhutan
      Uploaded by: Knoema
      Accessed On: 29 जनवरी, 2018
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    • अप्रैल 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 08 फरवरी, 2016
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      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • 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
    • अक्तूबर 2018
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
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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).
    • अक्तूबर 2018
      Source: Bank for International Settlements-BIS
      Uploaded by: Knoema
      Accessed On: 24 अक्तूबर, 2018
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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".  
    • सितम्बर 2018
      Source: Bank for International Settlements-BIS
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
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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
    • अप्रैल 2017
      Source: Bloom Consulting
      Uploaded by: Knoema
      Accessed On: 24 मई, 2017
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      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • नवम्बर 2018
      Source: Brazilian Institute of Geography and Statistics
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2018
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      Monthly production index and growth rate by industry sectors from Brazilian Institute of Geography and Statistics (IBGE)
    • अक्तूबर 2018
      Source: Brazilian Institute of Geography and Statistics
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2018
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      Annual outcomes of crop area and production by product in Brazil from Brazilian Institute of Geography and Statistics (IBGE)
    • सितम्बर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2018
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      The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
  • C
    • अक्तूबर 2017
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 06 अगस्त, 2018
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      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • अक्तूबर 2018
      Source: Government of Canada
      Uploaded by: Knoema
      Accessed On: 17 अक्तूबर, 2018
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      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • अक्तूबर 2018
      Source: Statistics Canada
      Uploaded by: Knoema
      Accessed On: 22 अक्तूबर, 2018
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      For the location "Puerto Rico" data is available from 1990.
    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 09 मार्च, 2018
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    • जनवरी 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 22 सितम्बर, 2016
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    • दिसम्बर 2012
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 सितम्बर, 2016
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2018
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • मार्च 2016
      Source: UNESCO Institute for Statistics
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2016
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • फरवरी 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2018
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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).
    • फरवरी 2018
      Source: Transparency International
      Uploaded by: Pallavi S
      Accessed On: 27 फरवरी, 2018
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      Data cited at CORRUPTION PERCEPTIONS INDEX 2017 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/news/feature/corruption_perceptions_index_2017 Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • 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.
    • जून 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 19 जुलाई, 2018
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      The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI)
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 21 मई, 2018
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • जुलाई 2016
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 29 जुलाई, 2016
      Select Dataset
      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • दिसम्बर 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 अप्रैल, 2016
      Select Dataset
      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.
    • अक्तूबर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 02 नवम्बर, 2018
      Select Dataset
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
      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.
    • मई 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 28 जून, 2018
      Select Dataset
      This table shows exchange rates for currencies used in over 190 world economies presented in a cross rates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
  • D
    • मार्च 2015
      Source: Bank of Canada
      Uploaded by: Kirill Kosenkov
      Accessed On: 27 जुलाई, 2015
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      The Bank of Canada’s Credit Rating Assessment Group (CRAG) comprehensive database of sovereign defaults draws on previously published data sets compiled by various official and private sector sources. It combines elements of these, together with new information, to develop estimates of stocks of government obligations in default, including bonds and other marketable securities, bank loans, and official loans in default, valued in U.S. dollars, for the years 1975 to 2014 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • अप्रैल 2017
      Source: Islamic Development Bank (IDB)
      Uploaded by: Knoema
      Accessed On: 07 सितम्बर, 2017
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    • अप्रैल 2018
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 03 मई, 2018
      Select Dataset
      Financing Global Health 2016 is the eighth edition of IHME’s annual series on global health spending and health financing. In addition to describing the trends in development assistance for health (DAH), this year’s report features an expanded discussion of domestic spending across low-, middle-, and high-income countries to describe the context in which DAH operates, identify health financing gaps, and support the pursuit of universal health coverage. Also new in Financing Global Health this year are detailed data for the funding of specific program areas within DAH for malaria and more thorough analysis of DAH for health system strengthening. This adds to the existing detailed tracking of DAH by program area for HIV/AIDS, maternal, newborn, and child health, and non-communicable diseases (NCDs). The coverage of domestic health spending builds on data and analyses presented in two papers published this year: “Global Burden of Disease Financing Global Health Collaborator Network. Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries,” and “Global Burden of Disease Financing Global Health Collaborator Network. Future and potential spending on health 2015–2040 by government, prepaid private, out-of-pocket, and donor financing for 184 countries.” Both analyses were published in The Lancet in April 2017. More information about these data and methods are found in the online methods annex.
    • फरवरी 2016
      Source: National Bureau of Statistics, Maldives
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2016
      Select Dataset
      Development Indicators of Maldives
    • मई 2007
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 28 मई, 2015
      Select Dataset
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • 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
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Discouraged job-seekers refer to those persons of working age who during a specified reference period were without work and available for work, but did not look for work in the recent past for specific reasons (for example, believing that there were no jobs available, believing there were none for which they would qualify, or having given up hope of finding employment). 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.
    • सितम्बर 2012
      Source: Americans for Divorce Reform
      Uploaded by: Knoema
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      Divorce Indicators across countries
    • दिसम्बर 2008
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Peter Speyer
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      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 2015
      Source: United Nations Development Programme
      Uploaded by: Misha Gusev
      Select Dataset
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • दिसम्बर 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 13 जनवरी, 2017
      Select Dataset
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
      Select Dataset
      Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. 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, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
      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 फरवरी, 2018
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      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
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      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition 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. 2 and 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, by crop and N content in residues.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
      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 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
      Select Dataset
      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion 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/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
      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.
    • फरवरी 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 फरवरी, 2017
      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 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
      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.
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
      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).
    • फरवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Employed migrants refer to the number of persons who changed their country of usual residence and were also employed during a specified brief period. Data are disaggregated by 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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 and occupation, according to the latest versions of the International Standard Industrial Classification of All Economic Activities (ISIC) and International Standard Classification of Occupations (ISCO), respectively. 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. 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.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 09 अक्तूबर, 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. 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 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.
    • 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for categories at the 2-digit level of the classification. 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.
    • 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 weekly hours actually worked, 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.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 09 अक्तूबर, 2018
      Select Dataset
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • जून 2018
      Source: National Bureau of Statistics of the Republic of Moldova
      Uploaded by: Knoema
      Accessed On: 29 जून, 2018
      Select Dataset
    • अक्तूबर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2018
      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:
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 and occupation, according to the latest versions of the International Standard Industrial Classification of All Economic Activities (ISIC) and International Standard Classification of Occupations (ISCO), respectively. 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. 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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      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). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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    • जुलाई 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 19 जुलाई, 2018
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    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 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, 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 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.
    • 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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. 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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 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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 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 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. 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.
    • 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 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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 weekly hours actually worked, 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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 provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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. Data are also 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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. Data are also 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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 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, 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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 weekly hours actually worked, 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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 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 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 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 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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 13 नवम्बर, 2018
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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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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 populion. Data by level of education are provided on the highest level of education completed.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • सितम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 18 दिसम्बर, 2017
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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: Environmental Performance Index
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      Accessed On: 02 फरवरी, 2018
      Select Dataset
      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.
    • जनवरी 2015
      Source: Economic Policy Institute
      Uploaded by: Knoema
      Accessed On: 28 अप्रैल, 2016
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    • सितम्बर 2015
      Source: Multiple Sources
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2015
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    • अक्तूबर 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 22 अक्तूबर, 2015
      Select Dataset
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • जनवरी 2018
      Source: United Nations Conference on Trade and Development
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      Accessed On: 30 मई, 2018
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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)
    • मार्च 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2017
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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.
    • मार्च 2018
      Source: Center For Global Development
      Uploaded by: Olga Bikeeva
      Accessed On: 17 मई, 2018
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      Debt figures for countries significantly or highly vulnerable to debt distress. All GDP and debt statistics reflect 2016 or end-2016 values, with the exception of the lending pipeline, which reflects estimated values post-2016. Data citation: John Hurley, Scott Morris, and Gailyn Portelance. 2018. “Examining the Debt Implications of the Belt and Road Initiative from a Policy Perspective.” CGD Policy Paper. Washington, DC: Center for Global Development. https://www.cgdev.org/publication/examining-debt-implications-belt-and-roadinitiative-policy-perspective
    • सितम्बर 2013
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 10 अक्तूबर, 2013
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      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
    • मई 2017
      Source: Islamic Development Bank (IDB)
      Uploaded by: Knoema
      Accessed On: 15 जून, 2017
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    • मई 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 31 मई, 2018
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      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • अक्तूबर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 24 अक्तूबर, 2017
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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 programme 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.
    • सितम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2018
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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.   Note: For some countries quarterly data is mentioned as monthly data because of quarter (Time period of quarter) differs across countries. Please go to the link: "http://fenixservices.fao.org/faostat/static/documents/CP/CPI_e.pdf" for detail about countries' National index reference period, definition, data details.    
    • सितम्बर 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2018
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      1.Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. 2.The choice of the indicators has been informed by expert judgment and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available. Note: Data represent values for time periods (1999-2001,2000-02,2005-07) and is shown as data for the last year of time period 2001, 2002,2007
    • जून 2012
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 18 जुलाई, 2012
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      This dataset represents Food Consumption, Food Production and Trade by various Food items. Note: data represent values for time periods (1990-1992, 1995-97, 2000-02, 2005-07) and is shown as data for the last year of time period (1992, 1997, 2002, 2007).
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 दिसम्बर, 2017
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      The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • मई 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 मई, 2018
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      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • अप्रैल 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 जुलाई, 2018
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      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • मार्च 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 जून, 2018
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      The Fertilizers by Product dataset contains information on product amounts for the Production, Trade, Agriculture Use and Other Uses of chemical and mineral fertilizers products, over the time series 2002-present. The fertilizer statistics data are validated separately for a set of over thirty individual products. Both straight and compound fertilizers are included.
    • फरवरी 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      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
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 06 जुलाई, 2018
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    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 02 जुलाई, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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      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. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data refers to the number of women employed in the agricultural sector as a percent of total employment in agriculture
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data refers to the number of women employed in the industry sector as a percent of total employment in industry.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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      The female share of employment in managerial positions conveys the number of women in management as a percentage of employment in management. Employment in management is defined based on the International Standard Classification of Occupations. Two different measures are presented: one referring to total management (category 1 of ISCO-08 or ISCO-88), and another one referring to senior and middle management only, thus excluding junior management (category 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 and minus category 13 in ISCO-88). This indicator is calculated based on data on employment by sex and occupation. For further information, see the SDG Indicators Metadata Repository or ILOSTAT’s indicator description.
    • सितम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
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      This indicator refers to the proportion of females in total employment in senior and middle management corresponding to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises. The indicator provides information on the proportion of women who are employed in decision-making and management roles in government, large enterprises and institutions.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 01 अगस्त, 2018
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      The dataset contains data on Import and Export Value (expressed in 1000 USD) for a selected list of fertilizers, from 1961 on wards. Country and country aggregate data are available. The fertilizers covered are: Nitrogenous fertilizers; Phosphate fertilizers; Potash fertilizers; Fertilizers Manufactured, nes; Fertilizers, Organic; Natural Phosphates; Natural Potassic Salts; Natural Sodium Nitrate.
    • अक्तूबर 2018
      Source: International Federation of Association Football
      Uploaded by: Knoema
      Accessed On: 17 नवम्बर, 2018
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      Monthly updates of FIFA World Football Men's Ranking 
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      This indicator is a proxy for the quality of health care. It represents the percentage of the population without access to health care due to financial resource deficit. The threshold for having sufficient financial resources is US$239 per person per year. A higher figure indicates worse levels of coverage. To estimate the quality of health care, this indicator uses as a proxy the relative difference between per capita health expenditure in a given country and its median value in countries with a low level of vulnerability.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%. 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.
    • नवम्बर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2018
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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.
    • अक्तूबर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2018
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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 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 20 अप्रैल, 2018
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      These statistics on the structure of the population describe Finnish and foreign citizens permanently resident in Finland at the turn of the year.
    • सितम्बर 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 14 दिसम्बर, 2017
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      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.
    • सितम्बर 2017
      Source: United Nations World Food Programme
      Uploaded by: Knoema
      Accessed On: 21 दिसम्बर, 2017
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      IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • सितम्बर 2017
      Source: United Nations World Food Programme
      Uploaded by: Knoema
      Accessed On: 21 दिसम्बर, 2017
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      The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • सितम्बर 2017
      Source: United Nations World Food Programme
      Uploaded by: Knoema
      Accessed On: 21 दिसम्बर, 2017
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      IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 अप्रैल, 2018
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      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 अप्रैल, 2018
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      Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 19 फरवरी, 2018
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 अप्रैल, 2018
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2017
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      Research by the Global Burden of Disease Health Financing Collaborator Network produced forecasted health spending estimates for 2015-2040 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. GDP and all-sector government spending were extracted for 1980–2015 and used with retrospective health spending estimates for 1995-2014 to forecast GDP, all-sector government spending, and health spending through 2040. Results of the study were published in The Lancet in April 2017 in "Future and potential spending on health 2015–40: government, prepaid private, out-of-pocket, and donor financing in 184 countries."
    • सितम्बर 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      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: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2018
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    • अगस्त 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 13 अगस्त, 2018
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      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. These figures correspond to the Statistical Annexes of the UNCTAD World Investment Report. The World Investment Report, which is released in June each year (t), contains annual data up to the year before (t-1). However, at the time of publication, the data for the most recent year are still preliminary and are subject to revision by the national authorities. When they revise data, UNCTAD updates its database accordingly. The dataset also presents the following indicators: the percentage share of each economy/group in the world, and percentage ratios of FDI to GDP. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in an another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt. FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated
    • जून 2014
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 11 दिसम्बर, 2015
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      Eurostat Dataset Id:educ_enrl8 The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes by pupils and students, personnel in education and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the UOE data collection:the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered:Context - School-aged population, overall participation rates in educationDistribution of pupils/students by levelParticipation/enrolment in education (ISCED 0-4)Tertiary education participationTertiary education graduatesTeaching staff (ISCED 1-3)Pupil/students-teacher ratio and average class size (ISCED 1-3)Language learning (ISCED 1-3)Regional enrolmentsExpenditure on education in current pricesExpenditure on education in constant pricesExpenditure on education as % of GDP or public expenditureExpenditure on public and private educational institutionsFinancial aid to studentsFunding of education Other tables, used to measure progress towards the Lisbon objectives in education and training, are gathered in the Thematic indicators tables. They contain the following indicators: - Teachers and trainers - Mathematics, science and technology enrolments and graduates - Investments in education and training - Participation rates in education by age and sex - Foreign language learning - Student mobility
    • अक्तूबर 2018
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 08 अक्तूबर, 2018
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    • जुलाई 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 09 जुलाई, 2018
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    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 09 अगस्त, 2018
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    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 03 जनवरी, 2018
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      The database contains data on the production and trade in roundwood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Roundwood removals (production) by type of wood and assortment - Production and trade in roundwood, woodfuel and other basic products - Industrial roundwood by assortment and species - Sawnwood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
    • दिसम्बर 2016
      Source: Carbon Dioxide Information Analysis Center
      Uploaded by: Knoema
      Accessed On: 17 मई, 2017
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      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
    • मई 2018
      Source: Fund for Peace
      Uploaded by: Knoema
      Accessed On: 15 मई, 2018
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      The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
    • जनवरी 2018
      Source: Freedom House
      Uploaded by: Knoema
      Accessed On: 30 जनवरी, 2018
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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.
    • अक्तूबर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 04 दिसम्बर, 2017
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      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • मार्च 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 21 मई, 2018
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      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf.  Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
  • G
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2017
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      Global Burden of Disease Study 2015 (GBD 2015) estimates were used in an analysis of national levels of personal healthcare access and quality based on 32 causes of disease and injury considered amenable to healthcare over time. This dataset includes the following global, regional, and national or territory-level estimates for 1990-2015: age-standardized risk-standardized death rates for 32 causes considered amenable to healthcare; the Healthcare Quality and Access (HAQ) Index and individual indices for each of the 32 causes on a scale of 0 to 100; and a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI). Results were published in The Lancet in May 2017 in "Healthcare Access and Quality Index based on mortality from causes amenable to personal healthcare in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015."
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability, years of life lost (YLLs), prevalence, and incidence for 32 cancer groups by age and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in December 2016 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 32 Cancer Groups, 1990-2015: A Systematic Analysis for the Global Burden of Disease Study."
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 10 नवम्बर, 2017
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      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Cause-specific mortality estimates for deaths and years of life lost (YLLs) are available from the GBD Results Tool. Estimates are available by age and sex for 264 causes for 1990-2016. Select tables published in The Lancet in September 2017 in "Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2017
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      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2016 (quinquennial). Select tables published in The Lancet in September 2017 in "Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 09 नवम्बर, 2017
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      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2016. The United Nations established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 232 indicators leading up to 2030. Drawing from GBD 2016, this dataset provides estimates for 37 health-related SDG indicators for 188 countries from 1990 to 2016, as well as projections, based on past trends, from 2017 to 2030. These 37 SDG indicators were used to construct the health-related SDG index, a summary measure of overall performance across the health-related SDGs. The results were published in The Lancet in September 2017 in "Measuring progress and projecting attainment based on past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016."
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2017
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      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a summary measure of a geography's socio-demographic development. It is based on average income per person, educational attainment, and total fertility rate (TFR). SDI contains an interpretable scale: zero represents the lowest income per capita, lowest educational attainment, and highest TFR observed across all GBD geographies from 1970 to 2016, and one represents the highest income per capita, highest educational attainment, and lowest TFR. This dataset provides tables with SDI values for all estimated GBD 2016 geographies for 1970–2016 and groupings by geography based on 2016 values.
    • सितम्बर 2018
      Source: Global Database of Events, Language, and Tone
      Uploaded by: Knoema
      Accessed On: 20 सितम्बर, 2018
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      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."
    • नवम्बर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2018
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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:
    • जनवरी 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 फरवरी, 2017
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      This dataset includes gender inequality and development indices.
    • अक्तूबर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
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    • दिसम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 09 जनवरी, 2018
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      This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank, and cover, where available: -Current Gross National Income (GNI) in US $ millions; -GNI per capita (US $); -Population; -Energy use as kilogram of oil per capita; -Average Life Expectancy of Adults; and -Adult Literacy Rate as a percentage of the country population. Data for Sudan include South Sudan, with the exception of total population, which is reported separately.
    • दिसम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 01 फरवरी, 2018
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      Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.
    • दिसम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 15 मार्च, 2018
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    • अक्तूबर 2017
      Source: Emission Database for Global Atmospheric Research
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2017
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      citation:  Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Olivier, J.G.J., Peters, J.A.H.W., Schure, K.M., Fossil CO2 and GHG emissions of all world countries, EUR 28766 EN,Publications Office of the European Union, Luxembourg, 2017, ISBN 978-92-79-73207-2, doi:10.2760/709792, JRC107877.    Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
    • 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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      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.
    • 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
    • नवम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 नवम्बर, 2017
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      This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
    • दिसम्बर 2013
      Source: Transparency International
      Uploaded by: Knoema
      Accessed On: 20 फरवरी, 2014
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      Data cited at: Global Corruption Barometer (2013) by Transparency International is licensed under CC-BY-ND 4.0 Global Corruption Barometer is the largest world-wide public opinion survey on corruption - See more at: http://www.transparency.org/gcb2013/in_detail#sthash.hey9okGH.dpuf
    • जुलाई 2017
      Source: International Telecommunication Union
      Uploaded by: Shakthi Krishnan
      Accessed On: 13 सितम्बर, 2017
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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.
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2017
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      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2014 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and 964 National Health Accounts. The resulting estimates were used to help produce forecasted health spending estimates for 2015-2040. Results of the study were published in The Lancet in April 2017 in "Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • दिसम्बर 2011
      Source: Global Facility for Disaster Reduction and Recovery
      Uploaded by: Knoema
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      Contains outcomes of post-disaster damage, loss, and needs assessments carried out by various international organizations following the Damage and Loss Assessment (DaLA) and/or Post-Disaster Needs Assessment (PDNA) methodologies.
    • जून 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 14 जून, 2018
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      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.
    • मई 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 19 जून, 2017
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      Global Financial Stability Report (GFSR) finds that six years after the start of the crisis, the global economic recovery continues to rely heavily on accommodative monetary policies in advanced economies. Monetary accommodation remains critical in supporting the economy by encouraging economic risk taking in the form of increased real spending by households and greater willingness to invest and hire by businesses. However, prolonged monetary ease may also encourage excessive financial risk taking.
    • 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
    • जनवरी 2014
      Source: Oxfam
      Uploaded by: Knoema
      Accessed On: 30 मई, 2014
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      Around the world, one in eight people go to bed hungry every night, even though there is enough food for everyone. Our graph illustrates how overconsumption, misuse of resources and waste are common elements of a system that leaves hundreds of millions without enough to eat.
    • 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.
    • अक्तूबर 2017
      Source: World Economic Forum
      Uploaded by: Shakthi Krishnan
      Accessed On: 29 नवम्बर, 2017
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      This data set provides the Index benchmarks national gender gaps on economic, political, education and health criteria, and provides country rankings that allow for effective comparisons across regions and income groups. The rankings are designed to create greater awareness among a global audience of the challenges posed by gender gaps and the opportunities created by reducing them. The methodology and quantitative analysis behind the rankings are intended to serve as a basis for designing effective measures for reducing gender gaps.
    • दिसम्बर 2016
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 20 अप्रैल, 2018
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      This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • सितम्बर 2018
      Source: Dual Citizen LLC
      Uploaded by: Knoema
      Accessed On: 21 सितम्बर, 2018
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      The performance index of the 2018 GGEI is defined by 20 underlying indicators, each contained within one of the four main dimensions of leadership & climate change, efficiency sectors, markets & investment and the environment.   For more detail on our approach to aggregating these diverse data sources to define the composite indicators in the GGEI and its four main dimensions, as well as our approach to data selection, weighting and other issues associated with creating an index, please visit the Methodology section.
    • अक्तूबर 2017
      Source: Emission Database for Global Atmospheric Research
      Uploaded by: Knoema
      Accessed On: 10 जनवरी, 2018
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      Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
    • सितम्बर 2017
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2017
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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
    • जुलाई 2018
      Source: Global Innovation Index
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2018
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      The Global Innovation Index (GII) provides detailed metrics about the innovation performance of 126 countries which represent 90.8% of the world’s population and 96.3% of global GDP. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication.   The GII 2018 marks the 11th edition of the GII, and the beginning of its second decade providing data and insights gathered from tracking innovation across the globe. This year’s edition, is dedicated to the theme of Energizing the World with Innovation. It analyses the energy innovation landscape of the next decade and identifies possible breakthroughs in fields such as energy production, storage, distribution, and consumption. It also looks at how breakthrough innovation occurs at the grassroots level and describes how small-scale renewable systems are on the rise.
    • अगस्त 2018
      Source: Internal Displacement Monitoring Centre
      Uploaded by: Knoema
      Accessed On: 29 अगस्त, 2018
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      Global Internal Displacement Database (GIDD) aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of internal displacement associated with conflict and generalized violence (2014-2015), displacement associated with sudden-onset natural hazard-related disasters (2008-2015).
    • फरवरी 2016
      Source: Material Flows
      Uploaded by: Knoema
      Accessed On: 14 जून, 2016
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    • दिसम्बर 2017
      Source: Milken Institute
      Uploaded by: Knoema
      Accessed On: 28 दिसम्बर, 2017
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      The Global Opportunity Index 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, what do 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, the GOI tracks countries’ performance on 51 variables aggregated in five categories, each measuring an aspect of the country’s attractiveness for investors.Economic Fundamentals (EF) indicates the current economic strength of a country vis-à-vis the global economic outlook. The assessment focuses on the country’s macro-performance, trade openness, quality and structure of the labor force, and modern infrastructure.Financial Services (FS) measures the size and access to financial services in a country by looking at the country’s financial infrastructure and access to credit.Business Perception (BP) measures explicit and implicit costs associated with business operations such as tax burden, transparency, etc.Institutional Framework (IF) measures the extent to which an individual country’s institutions provide a supportive network to businesses.International Standards and Policy (ISP) reflects the extent to which a country’s institutions, policies, and legal system facilitate international integration by following international standards. The assigned composite index value is the average score of the five categories (called component scores). Each variable is normalized from 0 to 10. Within each category, the normalized variables are given equal weight and aggregated, resulting in a normalized category score between 0, indicating the least favorable conditions for investment, and 10, signaling the most favorable. The index covers 133 countries. The index methodology is reviewed for each publication to reflect changes in data sources or other relevant adjustments.
    • 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.
    • नवम्बर 2018
      Source: GlobalPetrolPrices.com
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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   Data cited at: Global Petrol Prices web site
    • मई 2014
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Kirill Kosenkov
      Accessed On: 27 अगस्त, 2015
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      Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013. Comparable estimates based on systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports, using mixed effects linear regression to correct for bias in self-reports. Data for prevalence of obesity and overweight by age, sex, country, and year (n=19 244) obtained with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Research by the staff of the Institute for Health Metrics and Evalutaion with co-authors. Published online 28 May 2014, "The Lancet" Volume 384, No. 9945, p766–781. DOI: http://dx.doi.org/10.1016/S0140-6736(14)60460-8
    • दिसम्बर 2016
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 04 जनवरी, 2017
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      The Global status report on road safety 2015, reflecting information from 180 countries, indicates that worldwide the total number of road traffic deaths has plateaued at 1.25 million per year, with the highest road traffic fatality rates in low-income countries. In the last three years, 17 countries have aligned at least one of their laws with best practice on seat-belts, drink–driving, speed, motorcycle helmets or child restraints. While there has been progress towards improving road safety legislation and in making vehicles safer, the report shows that the pace of change is too slow. Urgent action is needed to achieve the ambitious target for road safety reflected in the newly adopted 2030 Agenda for Sustainable Development: halving the global number of deaths and injuries from road traffic crashes by 2020. Made possible through funding from Bloomberg Philanthropies, this report is the third in the series, and provides a snapshot of the road safety situation globally, highlighting the gaps and the measures needed to best drive progress.
    • 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 2014
      Source: United Nations Office on Drugs and Crime
      Uploaded by: Knoema
      Accessed On: 05 अप्रैल, 2018
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      The "Global Study on Homicide 2013" throw lights on the worst of crimes - the "unlawful death purposefully inflicted on a person by another person." In 2012, intentional homicide took the lives of almost half a million people. The study of intentional homicide is relevant not only because it is the study of the ultimate crime, whose ripple effect goes far beyond the initial loss of human life, but because lethal violence can create a climate of fear and uncertainty. Intentional homicide also victimizes the family and community of the victim, who can be considered secondary victims, and when justice is not served, impunity can lead to further victimization in the form of the denial of the basic human right to justice. Percentage of homicides by firearm, number of homicides by firearm and homicide by firearm rate per 100,000 population. Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person.
    • अप्रैल 2014
      Source: United Nations Office on Drugs and Crime
      Uploaded by: Knoema
      Accessed On: 20 मई, 2016
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      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • जनवरी 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 जुलाई, 2016
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    • फरवरी 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 14 जून, 2018
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      This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
    • अगस्त 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 21 अगस्त, 2018
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      This dataset shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance (NTB) of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).   NTB=(EX-IM)/EX+IM)
    • अगस्त 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 27 अगस्त, 2018
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      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • अगस्त 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 28 अगस्त, 2014
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      This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP).
    • अगस्त 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 28 अगस्त, 2014
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      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • अक्तूबर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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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.
    • अक्तूबर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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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 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 21 अगस्त, 2018
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      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial 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 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 21 अगस्त, 2018
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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 nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.
    • अक्तूबर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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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.
    • अक्तूबर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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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 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 21 अगस्त, 2018
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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.
    • अक्तूबर 2017
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 04 सितम्बर, 2018
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    • मार्च 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 25 जुलाई, 2018
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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.
    • जुलाई 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 अगस्त, 2018
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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 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 14 अप्रैल, 2017
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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 18.1). 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.
    • अक्तूबर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2018
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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 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 15 अप्रैल, 2017
      Select Dataset
      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.
    • सितम्बर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 20 सितम्बर, 2018
      Select Dataset
      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.
  • H
    • सितम्बर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 अक्तूबर, 2018
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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.
    • दिसम्बर 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 दिसम्बर, 2017
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      This database presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 23 जुलाई, 2018
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    • 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.
    • अक्तूबर 2017
      Source: Palestinian Central Bureau of Statistics-PCBS
      Uploaded by: Knoema
      Accessed On: 12 दिसम्बर, 2017
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    • अगस्त 2018
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 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.
    • नवम्बर 2018
      Source: Financial Tracking Service
      Uploaded by: Knoema
      Accessed On: 09 नवम्बर, 2018
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  • I
    • जुलाई 2017
      Source: International Centre for Tax and Development
      Uploaded by: Knoema
      Accessed On: 11 अक्तूबर, 2017
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      ICTD Government Revenue Dataset, 2017 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.
    • मार्च 2018
      Source: International Development Association
      Uploaded by: Pallavi S
      Accessed On: 29 मार्च, 2018
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      The World Bank’s IDA Resource Allocation Index (IRAI) is based on the results of the annual CPIA exercise that covers the IDA eligible countries. The CPIA rates countries against a set of 16 criteria grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The criteria are focused on balancing the capture of the key factors that foster growth and poverty reduction, with the need to avoid undue burden on the assessment process. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IRAI.
    • दिसम्बर 2017
      Source: Islamic Development Bank (IDB)
      Uploaded by: Knoema
      Accessed On: 29 मार्च, 2018
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    • फरवरी 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • फरवरी 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • दिसम्बर 2010
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 31 जुलाई, 2013
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      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • सितम्बर 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • दिसम्बर 2010
      Source: Institute for Health Metrics and Evaluation
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      IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
    • जुलाई 2017
      Source: International Monetary Fund
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      Accessed On: 10 अक्तूबर, 2017
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      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • जुलाई 2017
      Source: International Monetary Fund
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      Accessed On: 20 जून, 2018
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      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources. In addition to the 195 countries covered by the Balance of Payments Statistics (BOP), the BOP World and Regional Aggregates database contains data for 11 regions (country groups) including the world.
    • जुलाई 2018
      Source: International Monetary Fund
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      Accessed On: 16 जुलाई, 2018
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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.
    • अक्तूबर 2018
      Source: International Monetary Fund
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      Accessed On: 15 अक्तूबर, 2018
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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 October 2018 DatabaseArgentina’s consumer prices, which were previously excluded from the group composites because of data constraints, are now included starting from 2017 onward.Data for Aruba are included in the data aggregated for the emerging market and developing economies. It is classified as a member of the Latin America and Caribbean.Egypt’s forecast data from which the nominal exchange rate assumptions are calculated that were previously excluded because the nominal exchange rate was a market-sensitive issue, are now made public.Swaziland is now called Eswatini.Venezuela redenominated its currency on August 20, 2018, by replacing 100,000 bolívares Fuertes (VEF) with 1 bolívar Soberano (VES). Local currency data, including the historical data, for Venezuela are expressed in the new currency beginning with the October 2018 WEO database.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 27 अगस्त, 2014
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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-OECD
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      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.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 26 अगस्त, 2014
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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.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 26 अगस्त, 2014
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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 with a tertiary education.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 25 अगस्त, 2014
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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-OECD
      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.
    • सितम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      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. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 25 अगस्त, 2014
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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.
    • नवम्बर 2017
      Source: U.S. Department of Homeland Security
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      Accessed On: 21 मई, 2018
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    • नवम्बर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2018
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    • जुलाई 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      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.
    • जनवरी 2018
      Source: International Labour Organization
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      Accessed On: 31 अगस्त, 2018
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2015. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 13 नवम्बर, 2018
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      The incidence of part-time employment, also known as the part-time employment rate, represents the percentage of employment that is part time. Part time employment in this table is based on a common definition of less than 35 actual weekly hours worked. It is derived from the indicator on employment by sex and actual weekly hours worked.
    • फरवरी 2018
      Source: Heritage Foundation
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      Accessed On: 23 फरवरी, 2018
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      Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed
    • मार्च 2017
      Source: Reserve Bank of India
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      Accessed On: 21 दिसम्बर, 2017
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      This dataset covers the following public data available at RBI website. 1. Direction of Foreign Trade (in USD $ RS.) Notes: Financial Year 2015-2016 and 2016-2017 is taken as 2016, 2017
    • फरवरी 2018
      Source: Ministry of Statistics and Programme Implementation, India
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      Accessed On: 25 अप्रैल, 2018
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      Source details: India Tourism Statistics 2017
    • जुलाई 2018
      Source: Ministry of Finance, India
      Uploaded by: Knoema
      Accessed On: 05 सितम्बर, 2018
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      The dataset provides the data on the direction of imports and exports by regions and Countries in Crore rupees and Million U.S, dollars   India's Economic Survey: Direction of Trade, 2017-18
    • मार्च 2018
      Source: Reserve Bank of India
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      Accessed On: 12 जुलाई, 2018
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      Note : Data for 2016-17 are revised and for 2017-18 are provisional.
    • अगस्त 2018
      Source: United Nations Industrial Development Organization
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      Accessed On: 20 अगस्त, 2018
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      Industrial Statistics Database, INDSTAT 2 2018, ISIC Revision 3 (Demo)
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • फरवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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      The harmonized series for informal employment and informal sector are derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. For more information, refer to the indicator description.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      The harmonized series for informal employment and informal sector are derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. For more information, refer to the indicator description.
    • मार्च 2016
      Source: UNESCO Institute for Statistics
      Uploaded by: Knoema
      Accessed On: 30 मार्च, 2016
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    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2018
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      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
    • नवम्बर 2018
      Source: Federal Reserve Bank of St. Louis
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2018
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      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2018Oct/international-data-from-fred-monthly-update
    • जून 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 29 सितम्बर, 2015
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      The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • नवम्बर 2018
      Source: World Bank
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      Accessed On: 14 नवम्बर, 2018
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      Focuses on financial flows, trends in external debt, and other major financial indicators for low- and middle-income countries. Includes over 200 time series indicators from 1970 to 2016, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
    • नवम्बर 2018
      Source: U.S. Energy Information Administration
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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    • अगस्त 2014
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 02 सितम्बर, 2015
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      This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
    • जुलाई 2012
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 जुलाई, 2012
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      Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > Balance of payments of the EU institutions (bop_euins).
    • दिसम्बर 2017
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2017
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      The ERS International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. Historical data are available for real (inflation-adjusted) gross domestic product (GDP), inflation, population, and real exchange rates from 1969 to the most recent available year, and each variable is projected forward to 2030. These macroeconomic data and projections are a key component of the annually updated USDA agricultural projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.
    • दिसम्बर 2017
      Source: United Nations Development Programme
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      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 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 25 जुलाई, 2018
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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.
    • दिसम्बर 2016
      Source: Federal Communications Commission
      Uploaded by: Knoema
      Accessed On: 14 अप्रैल, 2017
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    • जून 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
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      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.
    • अक्तूबर 2016
      Source: CBS StatLine Databank
      Uploaded by: Knoema
      Accessed On: 06 अक्तूबर, 2018
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      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.
    • अक्तूबर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 अक्तूबर, 2015
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      Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) The water footprint of humanity, Proceedings of the National Academy of Sciences, 109(9): 3232–3237.
    • 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.
    • जून 2012
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 28 जुलाई, 2015
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      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • नवम्बर 2017
      Source: Food and Agriculture Organization
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      Accessed On: 28 नवम्बर, 2017
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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.
    • जनवरी 2018
      Source: Food and Agriculture Organization
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      Accessed On: 06 अप्रैल, 2018
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      FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series referring to the following items: tractors, harvesters and threshers, irrigation pumps, milking machines, hand tools, and soil machines. The database includes estimates of agriculture machinery in use and value of import and export of agriculture machinery.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 मई, 2018
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    • दिसम्बर 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 25 मार्च, 2016
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      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
    • जून 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 16 जनवरी, 2018
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      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • जुलाई 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 04 अगस्त, 2014
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      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
    • अगस्त 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
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      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.
  • K
    • जुलाई 2017
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 22 जून, 2018
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    • मई 2017
      Source: United Nations Office on Drugs and Crime
      Uploaded by: Knoema
      Accessed On: 09 अप्रैल, 2018
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      “Kidnapping” means unlawful detainment and taking away of a person or persons against their will (including through the use of force, threat, fraud or enticement) for the purpose of demanding an illicit gain, any other economic gain or other material benefit for their liberation, or in order to oblige someone to do or not to do something. “Kidnapping” should include 'express kidnapping' for short periods of time but should exclude abduction of a minor in the context of disputes over child custody.
    • सितम्बर 2018
      Source: Kuwait Central Statistical Bureau
      Uploaded by: Knoema
      Accessed On: 04 अक्तूबर, 2018
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  • L
    • दिसम्बर 2017
      Source: Ministry of Economy, UAE
      Uploaded by: Knoema
      Accessed On: 17 मई, 2018
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    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      This indicator provides the ratio of dependents (persons aged 0 to 14 + persons aged 15 and above that are either outside the labour force or unemployed) to total employment. The series is calculated based on ILO estimates that are harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • जनवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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 provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • जनवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The labour force participation rate is the labour force as a percent of the working age population.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The labour force participation rate is the labour force as a percent of the working age population.  Data by level of education are provided on the highest level of education completed.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The labour force participation rate is the labour force as a percent of the working age population.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      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.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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      This indicator is a proxy for rights to social security and health. It represents the percentage of the population without legal health coverage. Coverage includes affiliated members of health insurance or estimation of the population having free access to health care services provided by the State. A higher figure indicates higher percentage of the population without legal health coverage.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.
    • जुलाई 2018
      Source: Bank for International Settlements-BIS
      Uploaded by: Knoema
      Accessed On: 31 जुलाई, 2018
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      Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
    • मई 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 अगस्त, 2018
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      The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 07 मार्च, 2018
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    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 07 मार्च, 2018
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  • M
    • मई 2017
      Source: Islamic Development Bank (IDB)
      Uploaded by: Knoema
      Accessed On: 06 सितम्बर, 2017
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    • सितम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 अक्तूबर, 2017
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      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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      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. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 नवम्बर, 2018
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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.
    • जुलाई 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 05 अगस्त, 2014
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      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.
    • 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 health system outcomes. It represents the number of maternal deaths per 10 000 live births. A higher figure indicates worse outcomes. This is one of five indicators measuring key dimensions (drivers) of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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      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. This is a harmonized series: (1) data reported as weekly and yearly are converted to monthly in the local currency series, using data on average weekly hours if available; and (2) data are converted to a common currency, using exchange rates for the series in U.S. dollars and using 2011 purchasing power parity (PPP) rates for the series in constant 2011 PPP $. The latter series allows for international comparisons by taking account of the differences in relative prices between countries.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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. 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).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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. 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.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
      Select Dataset
      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. 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 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.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      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. 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      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. 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.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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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. 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 and presented for categories at the 2-digit level of the classification. 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.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
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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. 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 and presented for a selection of categories at the 2-digit level of the classification. 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      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.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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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, and presented for 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.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      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, 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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      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 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.
    • नवम्बर 2017
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 09 जनवरी, 2018
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      Measuring the information society report presents a global overview of the latest developments in information and communication technologies (ICTs), based on internationally comparable data and agreed methodologies. It aims to stimulate the ICT policy debate in ITU Member States by providing an objective assessment of countries’ performance in the field of ICT and by highlighting areas that need further improvement. The ICT Development Index (IDI) is a composite index that combines 11 indicators into one benchmark measure. It is used to monitor and compare developments in information and communication technology (ICT) between countries and over time. The IDI is divided into the following three sub-indices, and a total of 11 indicators: Access sub-index: This sub-index captures ICT readiness, and includes five infrastructure and access indicators (fixed-telephone subscriptions, mobile-cellular telephone subscriptions, international Internet bandwidth per Internet user, households with a computer, and households with Internet access). Use sub-index: This sub-index captures ICT intensity, and includes three intensity and usage indicators (individuals using the Internet, fixed broadband subscriptions, and mobile-broadband subscriptions). Skills sub-index: This sub-index seeks to capture capabilities or skills which are important for ICTs. It includes three proxy indicators (mean years of schooling, gross secondary enrolment, and gross tertiary enrolment). As these are proxy indicators, rather than indicators directly measuring ICT-related skills, the skills sub-index is given less weight in the computation of the IDI than the other two sub-indices. The data has been normalized to ensure that the data set uses the same unit of measurement. The values for the indicators selected to construct the IDI are converted into the same unit of measurement, since some indicators have maximum value as 100 whereas for other indicators the maximum value exceeds 100 After normalizing the data, the individual series were all rescaled to identical ranges, from 1 to 10.
    • जनवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      The median age marks the point where half the group is older than that age and half is younger. 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • जनवरी 2015
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 23 अप्रैल, 2015
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      This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
    • मई 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 08 जून, 2018
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      Trade Value, Volume, Unit value, Terms of Trade Indices and Purchasing Power Index of Exports Annual, 1980-2016   This table provides information on trade indices of value, volume, and unit value which are calculated at the level of individual countries, geographical regions, and economic groupings. See notes below for explanations of each indicator.
    • अक्तूबर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2018
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      Merchandise trade matrix - detailed products, exports and imports in thousands of United States dollars, annual This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
    • अक्तूबर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
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    • अक्तूबर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2018
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      Merchandise Trade Matrix – Product Groups, Exports and Imports in Thousands of dollars This table presents merchandise trade by trading partner and product based on the SITC commodity classification, Revision 3, at the one- and two-digit level, expressed in thousands of United States dollars. The data are also summarized by group of economies, for both reporting economy and trading partner, and by broader product groups.
    • दिसम्बर 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 13 जून, 2018
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      This Dataset presents product concentration and diversification indices.  The diversification index indicates whether the structure of exports or imports by product of a given country or country group differs from the world pattern. The product concentration index shows how exports and imports of individual countries or country groups are concentrated on a few products or otherwise distributed in a more homogeneous manner among a series of products.
    • अप्रैल 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2018
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      This dataset shows the value of total exports (free on board - FOB) and imports (cost, insurance and freight - CIF), expressed in millions of dollars and percentages of the world total, of individual countries, geographical regions and selected economic groupings.
    • जून 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 19 जुलाई, 2018
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      This dataset shows statistics on the international maritime transport. It contains data on the size of the world merchant fleet by flag of registration and by type of ship. Data are presented in thousands of dead-weight tons (DWT). The dataset presents also, for each region or country 1) its share in the world fleet, and 2) the share of a ship-type in its fleet. From 2011 onwards, the figures on numbers of ships are also available, as well as the data in gross tonnage (GT).
    • अप्रैल 2018
      Source: Open Data Platform, Mexico
      Uploaded by: Knoema
      Accessed On: 21 अगस्त, 2018
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    • फरवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      Migrants comprise individuals who changed their country of usual residence. 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 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).
    • अक्तूबर 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 02 नवम्बर, 2017
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      Migration and Remittances Factbook 2016 provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. Please note, 2017 for INWARD is an estimate.
    • दिसम्बर 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 फरवरी, 2018
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      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.
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 27 जुलाई, 2018
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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) and ground-level ozone (O3) have 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. Exposure to ground-level ozone (O3) has serious consequences for human health, contributing to, or triggering, respiratory diseases. These include breathing problems, asthma and reduced lung function (WHO, 2016; Brauer et al., 2016). Ozone exposure is highest in emission-dense countries with warm and sunny summers. The most important determinants are background atmospheric chemistry, climate, anthropogenic and biogenic emissions of ozone precursors such as volatile organic compounds, and the ratios between different emitted chemicals.
    • 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
    • जून 2017
      Source: Namibia Statistics Agency
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
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      Namibia Trade statistics, 2016
    • दिसम्बर 2017
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 03 जनवरी, 2018
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      The Economic Statistics Branch of the United Nations Statistics Division maintains this National Accounts Statistics database of main national accounts aggregates. It is the product of a global cooperation effort between the United Nations Statistics Division, international statistical agencies and the national statistical services of more than 200 countries and is in accordance with the request of the Statistical Commission that the most recent available data on national accounts of as many countries and areas as possible be published and disseminated regularly. This National Accounts Statistics database contains a complete and consistent set of time series from 1970 onwards of main national accounts aggregates for allUN Members States and all other countries and areas in the world. It is maintained and updated on the basis of annual collections of the official annual national accounts statistics supplemented by estimates of national accounts statistics for those years and countries for which the official statistics has incomplete or inconsistent information. In addition, to the values of national accounts statistics, it contains analytical indicators and ratios derived from the main national accounts aggregates related to economic structure and development.
    • फरवरी 2017
      Source: National Institute of Statistics and Censuses, Costa Rica
      Uploaded by: Knoema
      Accessed On: 30 मई, 2017
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    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
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    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
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    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
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    • सितम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 18 सितम्बर, 2018
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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 2018
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 28 फरवरी, 2018
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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
    • अक्तूबर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2015
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      Water footprints of national consumption (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237.   Water footprints of national production (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237.
    • अक्तूबर 2018
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 21 अक्तूबर, 2018
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      The seasonally adjusted annual rate is the seasonally adjusted monthly value multiplied by 12.
    • अगस्त 2018
      Source: The National Committee on North Korea
      Uploaded by: Knoema
      Accessed On: 13 अगस्त, 2018
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    • अप्रैल 2018
      Source: WorldAeroData
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2018
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  • O
    • नवम्बर 2017
      Source: Ocean Health Index
      Uploaded by: Shakthi Krishnan
      Accessed On: 20 जुलाई, 2018
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      Ocean Health Index
    • दिसम्बर 2015
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 19 मई, 2017
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      Pension fund assets in OECD countries hit a record USD 20.1 trillion in 2011 but return on investment fell below zero, with an average negative return of -1.7%, according to the OECD’s latest Pension Markets in Focus. The report says that weak equity markets and low interest rates drove the poor performance.
    • अक्तूबर 2013
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 29 अक्तूबर, 2013
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      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
    • नवम्बर 2018
      Source: National Centre for Statistics and Information, Oman
      Uploaded by: Knoema
      Accessed On: 09 नवम्बर, 2018
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      Data cited at: https://data.gov.om/OMFRTRD2016 this Data set covers the statistical indicators illustrating the development of trade between Oman and other countries, and classification of  merchandise exports, re-exports and merchandise imports by commodity group, nature of materials, their final utilization and port of entry.  It includes also a table on of the balance of payments estimates.   The commodity classification used in the presentation of foreign trade data is the Hormonised System, which has been adopted in Oman since 1987, in addition to the SITC Revision (4) for international comparison.  Commodity values are estimated in Rial Omani on the basis of the (C.I.F.) value for imports (i.e. the cost, insurance and freight of goods to the custom points in Oman) and (F.O.B.) for exports and re-exports.
    • अप्रैल 2018
      Source: Open Data Watch
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2018
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      Score Type Options: Three sets of scores are available: raw, weighted, or standardized. Raw scores have values between 0 and 1 as recorded in the original assessment; subscores are simple totals. Weighted scores use a predefined weighting matrix; subscores are simple totals. Standardized scores are scaled from 0 to 100; subscores are weighted averages.
    • जुलाई 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 29 अगस्त, 2018
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      Other official flows are official sector transactions which do not meet the ODA criteria, e.g.:  i.) Grants to developing countries for representational or essentially commercial purposes;  ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent;  iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits");  iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms;  v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)];  vi.) Funds in support of private investment.
    • फरवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      The outflows of nationals for employment for any given country refer to the number of its citizens who changed their country of usual residence to outside of that country during the reference period for the purpose of employment. Data are disaggregated by sex and country of destination. The country of destination is the country that is a destination for migratory flows.
    • 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.
    • अक्तूबर 2015
      Source: International Monetary Fund
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      Accessed On: 27 अक्तूबर, 2015
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      Commodity prices have declined sharply over the past three years, and output growth has slowed considerably among those emerging market and developing economies that are net exporters of commodities. A critical question for policymakers in these countries is whether commodity windfall gains and losses influence potential output or merely trigger transient fluctuations of actual output around an unchanged trend for potential output. The analysis in this chapter suggests that both actual and potential output move together with the commodity terms of trade but that actual output commoves twice as strongly as potential output. The weak commodity price outlook is estimated to subtract almost 1 percentage point annually from the average rate of economic growth in commodity exporters over 2015–17 as compared with 2012–14. In exporters of energy commodities, the drag is estimated to be larger: about 2¼ percentage points on average over the same period. The projected drag on the growth of potential output is about one-third of that for actual output.
    • अगस्त 2018
      Source: International Labour Organization
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      Accessed On: 03 सितम्बर, 2018
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      This measure of labour productivity is calculated using data on GDP in constant 2005 US dollars in PPP derived from the World Development Indicators database of the World Bank. To compute labour productivity as GDP per worker, ILO estimates for total employment are used. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017.
    • अगस्त 2018
      Source: International Labour Organization
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      Accessed On: 03 सितम्बर, 2018
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      This measure of labour productivity is calculated using data on GDP (in constant 2011 international dollars in PPP) derived from the World Development Indicators database of the World Bank. To compute labour productivity as GDP per worker, ILO estimates for total employment are used. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017.
    • जून 2017
      Source: Organisation for Economic Co-operation and Development-OECD
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      Accessed On: 06 नवम्बर, 2017
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      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 नवम्बर, 2018
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
  • P
    • सितम्बर 2017
      Source: Passport Index
      Uploaded by: Knoema
      Accessed On: 13 सितम्बर, 2017
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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.
    • नवम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
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      Accessed On: 12 जनवरी, 2018
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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.
    • नवम्बर 2016
      Source: Organisation for Economic Co-operation and Development-OECD
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      Accessed On: 03 जनवरी, 2018
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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.
    • नवम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 05 जनवरी, 2018
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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.
    • नवम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 12 जनवरी, 2018
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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.
    • अक्तूबर 2017
      Source: University of Groningen
      Uploaded by: Knoema
      Accessed On: 05 अक्तूबर, 2018
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      PWT version 9.0 is a database with information on relative levels of income, output, inputs and productivity, covering 182 countries between 1950 and 2014.
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      Description not available
    • दिसम्बर 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 09 मार्च, 2018
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      This Dataset presents time series on receipts and payments of personal remittances in millions of dollars. These data are also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP. Personal remittances, as defined in this table, comply with the guidelines of the Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6) (IMF 2009, Appendix 5). They are the sum of two items: (1.) compensation of employees, defined as the income of workers employed in an economy where they are not resident and of residents employed by non-resident employers; (2.) personal (current) transfers, defined as current transfers in kind or in cash, between resident and non-resident households (ibid., A5.5-7). A broader definition of personal remittances would include also capital transfers between resident and non-resident households (ibid., A5.10-13). However, data coverage for capital transfers is much sparser than for the two items above, as compilation of this item by countries is voluntary in the context of the balance of payment statistics. Therefore, capital transfers between resident and non-resident households are reported in this table separately. The main source of personal remittances data is World Bank. In cases of missing data, data from IMF or Economic Intelligence Unit have been imputed. Capital transfers data have been taken from IMF.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 नवम्बर, 2018
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      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • जनवरी 2018
      Source: International Labour Organization
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      Accessed On: 31 अगस्त, 2018
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      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the labour force estimates and projections methodological paper. 
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). 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.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). 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. 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 (ISCED).
    • सितम्बर 2017
      Source: Political Terror Scale
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      Accessed On: 27 नवम्बर, 2017
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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.
    • मई 2018
      Source: United Nations Statistics Division
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      Accessed On: 09 अगस्त, 2018
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      The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses' datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UNdata. This latest update includes several datasets on international travel and migration inflows and outflows, and on incoming and departing international migrants by several characteristics, as reported by the national authorities to the UN Statistics Division for the reference years 2010 to the present as available.
    • मई 2018
      Source: International Labour Organization
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      Accessed On: 31 अगस्त, 2018
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      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision and the rural urban distribution population source is World Urbanization Prospects: The 2014 Revision issued by the United Nations.
    • जनवरी 2018
      Source: International Labour Organization
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      Accessed On: 31 अगस्त, 2018
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      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision issued by the United Nations.
    • जून 2017
      Source: United Nations Department of Economic and Social Affairs
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      Accessed On: 07 सितम्बर, 2018
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      This dataset is a custom version of https://knoema.com/UNWPP2018R
    • मई 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision and the rural urban distribution population source is World Urbanization Prospects: The 2014 Revision issued by the United Nations.
    • मार्च 2009
      Source: Eurostat
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      Accessed On: 29 नवम्बर, 2015
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    • सितम्बर 2018
      Source: World Bank
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      Accessed On: 25 अक्तूबर, 2018
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      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 2017
      Source: Food and Agriculture Organization
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      Accessed On: 20 सितम्बर, 2017
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      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
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      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).
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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    • अप्रैल 2018
      Source: World Bank
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      Accessed On: 24 अप्रैल, 2018
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      The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
    • दिसम्बर 2016
      Source: International Telecommunication Union
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      Accessed On: 02 मार्च, 2017
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    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
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      Accessed On: 25 अप्रैल, 2018
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      Private transactions are those undertaken by firms and individuals resident in the reporting country.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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      Description not available
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
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      Accessed On: 04 जनवरी, 2018
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      CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
    • मई 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 06 जून, 2018
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      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare  
    • नवम्बर 2018
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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      USDA Production, Supply and Distribution dataset contains current and historical official USDA data on production, supply and distribution of agricultural commodities for the United States and key producing and consuming countries.
    • सितम्बर 2018
      Source: International Labour Organization
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      Accessed On: 24 सितम्बर, 2018
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      This indicator conveys the proportion of children (defined as persons aged 5 to 17) involved in child labour, as well as the proportion of children involved in employment and the proportion of children involved in hazardous work. Children in employment include all those children who are engaged in any activity falling within the System of National Accounts' production boundary. Child labour is a subgroup of child employment, and it refers to children engaged in prohibited work or in types of work that should be eliminated given that they are injurious, negative or socially or morally undesirable according to national and international standards. More specifically, child labour comprises all children engaged in hazardous work, all children engaged in worst forms of child labour other than hazardous work, and employment below the minimum working age, excluding, where applicable, light work performed by children over the age of 13. For further information, see the SDG Indicators Metadata Repository.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 नवम्बर, 2018
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    • सितम्बर 2017
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
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      This indicator conveys the share of the population effectively covered by a social protection system, including social protection floors. It also provides the coverage rates of the main components of social protection: child and maternity benefits, support for persons without a job, persons with disabilities, victims of work injuries and older persons. For further information, see the SDG Indicators Metadata Repository.
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 12 नवम्बर, 2018
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      The share of youth not in education, employment or training (also known as the NEET rate) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. It provides a measure of youth who are outside the educational system, not in training and not in employment, and thus serves as a broader measure of potential youth labour market entrants than youth unemployment, since it also includes young persons outside the labour force not in education or training. This indicator is also a better measure of the current universe of potential youth labour market entrants compared to the youth inactivity rate, as the latter includes those youth who are not in the labour force and are in education, and thus cannot be considered currently available for work. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • अगस्त 2018
      Source: Inter-American Development Bank
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      Accessed On: 19 सितम्बर, 2018
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      Public Debt around the World
    • नवम्बर 2018
      Source: International Labour Organization
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      Accessed On: 06 नवम्बर, 2018
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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. 
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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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
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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      Description not available
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
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      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 2018
      Source: Quality of Government Institute
      Uploaded by: Knoema
      Accessed On: 16 फरवरी, 2018
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      In the QoG Standard CS dataset, data from and around 2014 is included. Data from 2014 is prioritized, however, if no data is available for a country for 2014, data for 2015 is included. If no data exists for 2015, data for 2013 is included, and so on up to a maximum of +/- 3 years. In the QoG Standard TS dataset, data from 1946 to 2017 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).   Citation: 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
    • दिसम्बर 2013
      Source: United Nations World Food Programme
      Uploaded by: Knoema
      Accessed On: 03 अक्तूबर, 2017
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      Quantity Reporting: Measure food aid deliveries in metric tons
  • R
    • मार्च 2010
      Source: International Institute for Applied Systems Analysis
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2013
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      Using demographic multi-state, cohort-component methods, projections for 120 countries (covering 93% of the world population in 2005) by five-year age groups, sex, and four levels of educational attainment for the years 2005-2050 are produced. Taking into account differentials in fertility and mortality by education level, the first systematic global educational attainment projections according to four widely differing education scenarios are presented. The results show the possible range of future educational attainment trends around the world, thereby contributing to long-term economic and social planning at the national and international levels, and to the assessment of the feasibility of international education goals. Samir KC et al., Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, Demographic Research, 22(15), P. 383-472, 16 March 2010: http://www.demographic-research.org/Volumes/Vol22/15/.
    • अगस्त 2012
      Source: Multiple Sources
      Uploaded by: Carpe Facto
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      Spread of religions across the World, by country
    • जुलाई 2018
      Source: International Renewable Energy Agency
      Uploaded by: Knoema
      Accessed On: 04 अक्तूबर, 2018
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      The Renewable Energy Statistics 2018 shows data sets on renewable power-generation capacity for 2008-2017, renewable power generation for 2008-2016 and renewable energy balances for about 120 countries and areas for 2015 and 2016.  The renewable power capacity data shown in these tables represents the maximum net generating capacity of power plants and other installations that use renewable energy sources to produce electricity. For most countries and technologies, the data reflects the capacity installed and connected at the end of the calendar year. Pumped storage is included in hydropower but excluded from total renewable energy. The capacity data are presented in megawatts (MW), while the generation data are presented in gigawatt-hours (GWh). Data has been obtained from a variety of sources, including an IRENA questionnaire, official national statistics, industry association reports, consultant reports and news articles. The investment data is presented in millions of United States dollars (USD million) at current prices.
    • नवम्बर 2018
      Source: Reserve Bank of Australia
      Uploaded by: Knoema
      Accessed On: 01 नवम्बर, 2018
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      Reserve Bank of Australia Assets and Liabilities
    • नवम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 15 दिसम्बर, 2017
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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.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 28 फरवरी, 2018
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      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • सितम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 दिसम्बर, 2017
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      The Pesticides Use database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available.
    • नवम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 14 दिसम्बर, 2017
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    • अप्रैल 2017
      Source: Global Finance Magazine
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2017
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  • S
    • अगस्त 2018
      Source: General Authority for Statistics, Kingdom of Saudi Arabia-GaStat
      Uploaded by: Shakthi Krishnan
      Accessed On: 10 सितम्बर, 2018
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    • मार्च 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 04 अप्रैल, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • अगस्त 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      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.
    • मार्च 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 07 अगस्त, 2018
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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.
    • जुलाई 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 10 अगस्त, 2018
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      This table presents annual statistics on total international trade in services by individual country, geographical region and economic groups, expressed in millions of dollars. Percentages of the world total and the annual percentage changes are also indicated. International trade in total commercial services is included as a memo item. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC), and are published simultaneously by the three organizations.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data provided refers to the employment in the agriculture sector as a share of total employment.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
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    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data provided refers to persons in paid employment and working more than 48 hours per week as a percent of the total number of employees.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data provided refers to men in paid employment and working more than 48 hours per week as a percent of the total number of male employees.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data provided refers to women in paid employment and working more than 48 hours per week as a percent of the total number of female employees.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      Data provided refers to the employment in the industry sector as a share of total employment.
    • सितम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 02 अक्तूबर, 2018
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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 persons who have been unemployed for a year or longer as a percent of the unemployed population.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The own account workers are workers who control their enterprise (on their own or with others) and who don't hire paid employees on a continuous basis but may have assistance from contributing family workers. Data provided expresses this category as a percent of total employment.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The own account workers are workers who control their enterprise (on their own or with others) and who don't hire paid employees on a continuous basis but may have assistance from contributing family workers. Data provided expresses this category as a percent of total employment, exclusively for males.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
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      The own account workers are workers who control their enterprise (on their own or with others) and who don't hire paid employees on a continuous basis but may have assistance from contributing family workers. Data provided expresses this category as a percent of total employment, exclusively for females.
    • सितम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      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
      Uploaded by: Knoema
      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.