एक त्रुटि हुई. विवरण छिपाओ
आप के पेज सहेजे नहीं गए है. नवीकरण करें रद्द करें

Cuba

  • President:Miguel Díaz-Canel
  • Vice President:Salvador Valdés Mesa
  • Capital city:Havana
  • Languages:Spanish (official)
  • Government:No data
  • National statistics office
  • Population, persons:1,14,84,636 (2017)
  • Area, sq km:1,04,020 (2017)
  • GDP per capita, US$:7,602 (2015)
  • GDP, billion current US$:87.1 (2015)
  • GINI index:No data
  • Ease of Doing Business rank:No data
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
      Select Dataset
      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
      Select Dataset
      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: 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.
    • मई 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 जुलाई, 2015
      Select Dataset
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      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.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 08 मार्च, 2018
      Select Dataset
      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • मई 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 जुलाई, 2015
      Select Dataset
    • मई 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 जुलाई, 2015
      Select Dataset
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 25 मई, 2018
      Select Dataset
      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
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      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.
    • जनवरी 2014
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2015
      Select Dataset
      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
      Select Dataset
      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/
    • जुलाई 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 17 जुलाई, 2018
      Select Dataset
      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: 06 नवम्बर, 2018
      Select Dataset
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
  • B
    • अक्तूबर 2018
      Source: Information & eGovernment Authority of Bahrain
      Uploaded by: Knoema
      Accessed On: 22 अक्तूबर, 2018
      Select Dataset
    • मई 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 21 मई, 2018
      Select Dataset
      Since the collection of 2009 data, the scope of the OECD Global Insurance Statistics questionnaire has been expanded. These changes led to the collection of key balance sheet and income statement items for direct insurance and reinsurance sectors, such as: gross claims paid, outstanding claims provision (changes), gross operating expenses, commissions, total assets, gross technical provisions (of which: unit-linked), shareholder equity, net income.
    • जून 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 12 अक्तूबर, 2015
      Select Dataset
    • अगस्त 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 12 अक्तूबर, 2015
      Select Dataset
    • जनवरी 2018
      Source: Bertelsmann Stiftung
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2018
      Select Dataset
      The Bertelsmann Stiftung’s Transformation Index (BTI) analyzes and evaluates the quality of democracy, a market economy and political management in 128 developing and transition countries. It measures successes and setbacks on the path toward a democracy based on the rule of law and a market economy flanked by sociopolitical safeguards. Within this framework, the BTI publishes two rankings, the Status Index and the Management Index. Countries are further categorized on the basis of these status index and management rankings/scores. For instance, countries are categorized in to 5 groups – viz; 5 or failed, 4 or very limited, 3 or limited, 2 or advanced, and 1 or highly advanced—based on their status index score of 1 to 10. A country with a high score, 8.5 and above, is categorized as highly advanced. A country with a low score, below 4, is categorized as failed. A country is categorized as ‘very limited’ if it has a status index score between 4 and 5.5. A score between 5.5 and 7 means the country is categorized as ‘limited’ and a country is categorized as ‘advanced’ for a score between 7.1 and 8.5. On the basis of the democratic status ranking, countries are further categorized as 5 or ‘hard - line autocracies,’ 4 or ‘moderate autocracies,’ 3 or ‘highly defective democracies,’ 2 or ‘defective democracies,’ and 1 or ‘democracies in consolidation.’ A country with a democratic status ranking below 4 is categorized as a hard line autocracy. A democratic status score between 4 and 5 means that the country is part of the ‘moderate autocracy’ group. A country is grouped as a ‘highly defective democracy’ for a score between 5 and 6. A country is recognized as a ‘defective democracy’ for a score between 6 and 8, and a score of 8 and above earns a country the status of a ‘democracy in consolidation.’ Countries are also categorized in to 5 groups based on their market economy status ranking. The countries are categorized as ‘rudimentary’ or group 5, ‘poorly functioning’ or group 4, ‘functional flaws’ or group 3, ‘functioning’ or group 2, and ‘developed’ or group 1. A country is recognized as a member of the ‘developed’ group with a market economy status ranking/score of 8 and above. A country is grouped as ‘functioning’ if it has a score between 7 and 8. A market economy status ranking between 5 and 7 means the country is categorized to group 3 or the ‘functional flaws’ group. A score between 3 and 5 means that the country is ‘poorly functioning’ and a score below 3 means the country enjoys a ‘rudimentary’ status. Based on the management index ranking, countries are categorized as 5 or failed, 4 or weak, 3 or moderate, 2 or good, and1 or very good. A country is categorized as ‘very good’ for a score of 7 and above. It is categorized as ‘good’ for a score between 5.6 and 7, and as ‘moderate’ for a score between 4.4 and 5.5. A score between 3 and 4.3 means a country is categorized as ‘weak,’ and a score below 3 means the categorization of a country as ‘failed.’ Countries are ranked between 1 and 10 on the basis of the level of difficulty they face. The level of difficulty is further categorized as 5 or negligible, 4 or minor, 3 or moderate, 2 or substantial, and 1 or massive. A score of 8.5 and above means the categorization of the country’s level of difficulty as ‘massive, and a score below 2.5 means the categorization of the level of difficulty faced by the country as ‘negligible.’ The level of difficulty score of 2.5 to 4.4 means a country faces a ‘minor’ level of difficulty and a score between 4.5 and 6.4 means the level of difficulty faced by a country is ‘moderate.’ A country with a score of 6.5 to 8.4 faces a ‘substantial’ level of difficulty.
    • जनवरी 2018
      Source: National Statistics Bureau, Bhutan
      Uploaded by: Knoema
      Accessed On: 29 जनवरी, 2018
      Select Dataset
    • अप्रैल 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • सितम्बर 2018
      Source: Instituto Aço Brasil
      Uploaded by: Knoema
      Accessed On: 12 सितम्बर, 2018
      Select Dataset
      Brazil Steel Production
    • सितम्बर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2018
      Select Dataset
      The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 11 मई, 2018
      Select Dataset
      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Business written in the reporting country on a gross and net premium basis. It contains a breakdown between domestic companies, foreign-controlled companies and branches and agencies or foreign companies.
    • फरवरी 2012
      Source: Federal State Statistics Service, Russia
      Uploaded by: Knoema
      Select Dataset
      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • अक्तूबर 2017
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 06 अगस्त, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      For the location "Puerto Rico" data is available from 1990.
    • मई 2018
      Source: China Association of Automobile Manufacturers
      Uploaded by: Shakthi Krishnan
      Accessed On: 13 सितम्बर, 2018
      Select Dataset
      World: Car Sales by Country 2017
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time.
    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 09 मार्च, 2018
      Select Dataset
    • जनवरी 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 22 सितम्बर, 2016
      Select Dataset
    • दिसम्बर 2012
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 सितम्बर, 2016
      Select Dataset
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
      Select Dataset
      The collective bargaining coverage rate conveys the number of employees whose pay and/or conditions of employment are determined by one or more collective agreement(s) as a percentage of the total number of employees. Collective bargaining coverage includes, to the extent possible, workers covered by collective agreements in virtue of their extension. Collective bargaining coverage rates are adjusted for the possibility that some workers do not have the right to bargain collectively over wages (e.g. workers in the public services who have their wages determined by state regulation or other methods involving consultation), unless otherwise stated in the notes. The statistics presented in this table result from an ILO data compilation effort (including an annual questionnaire and numerous special enquiries), with contributions from J. Visser.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2018
      Select Dataset
      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
      Select Dataset
    • अगस्त 2017
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Shakthi Krishnan
      Accessed On: 07 सितम्बर, 2017
      Select Dataset
      Construction and Investment of Cuba, 2016
    • 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.
    • फरवरी 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2018
      Select Dataset
      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
      Select Dataset
      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.
    • जनवरी 2018
      Source: NYU Stern
      Uploaded by: Knoema
      Accessed On: 24 अक्तूबर, 2018
      Select Dataset
      This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium.   Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186  
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 21 मई, 2018
      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
    • 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
    • जून 2018
      Source: Reputation Institute
      Uploaded by: Knoema
      Accessed On: 03 जुलाई, 2018
      Select Dataset
      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • अक्तूबर 2018
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Shakthi Krishnan
      Accessed On: 25 अक्तूबर, 2018
      Select Dataset
      Employment and Salaries of Cuba
    • 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.
    • अगस्त 2018
      Source: Pan American Health Organization
      Uploaded by: Knoema
      Accessed On: 03 अगस्त, 2018
      Select Dataset
      1. Incidence rate (autochthonous suspected + autochthonous confirmed) / 100,000 population. 2. Deaths among Zika cases do not include deaths related to Guillain-Barré syndrome (GBS) or congenital malformations associated with Zika virus infection. As of 12 May 2016, previously reported deaths related to GBS were removed from this total. 3. Confirmed congenital syndrome associated with Zika virus infection case definition: Live newborn who meets the criteria for a suspected case of congenital syndrome associated with Zika virus AND Zika virus infection was detected in specimens of the newborn, regardless of detection of other pathogens
    • 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
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Time lost per occupational injury is defined as the average number of calendar days lost per new cases of non-fatal occupational injury resulting in temporary incapacity.
    • 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.
    • 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
    • सितम्बर 2012
      Source: Americans for Divorce Reform
      Uploaded by: Knoema
      Select Dataset
      Divorce Indicators across countries
    • अगस्त 2017
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Shakthi Krishnan
      Accessed On: 22 सितम्बर, 2017
      Select Dataset
      Domestic Trade of Cuba, 2016
    • दिसम्बर 2008
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Peter Speyer
      Select Dataset
      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
  • E
    • दिसम्बर 2017
      Source: National Institute of Statistics and Census, Ecuador
      Uploaded by: Knoema
      Accessed On: 02 जनवरी, 2018
      Select Dataset
      Ecuador: Arrival and Departure Statistics
    • दिसम्बर 2015
      Source: United Nations Development Programme
      Uploaded by: Misha Gusev
      Select Dataset
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • अक्तूबर 2017
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Knoema
      Accessed On: 20 जून, 2018
      Select Dataset
    • 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
      Select Dataset
      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
      Select Dataset
      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 enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (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 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
      Select Dataset
      GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application 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. 10 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 livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
      Select Dataset
      GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. 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. 10 and 11 (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 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
      Select Dataset
    • 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).
    • 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 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.
    • 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
      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).
    • जुलाई 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 19 जुलाई, 2018
      Select Dataset
    • 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. 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 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 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
      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 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 provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • 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, 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
      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 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
      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.
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 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. 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 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.
    • मई 2018
      Source: Federal Institute for Geosciences and Natural Resources
      Uploaded by: Knoema
      Accessed On: 16 मई, 2018
      Select Dataset
    • सितम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 18 दिसम्बर, 2017
      Select Dataset
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • अगस्त 2017
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Shakthi Krishnan
      Accessed On: 22 सितम्बर, 2017
      Select Dataset
      Environment Statistics of Cuba, 2016
    • जनवरी 2018
      Source: Environmental Performance Index
      Uploaded by: Knoema
      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.
    • सितम्बर 2015
      Source: Multiple Sources
      Uploaded by: Knoema
      Accessed On: 10 सितम्बर, 2015
      Select Dataset
    • जनवरी 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 30 मई, 2018
      Select Dataset
      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
      Select Dataset
      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.
  • F
    • मई 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 31 मई, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • अक्तूबर 2011
      Source: Food and Agricultural Policy Research Institute
      Uploaded by: Knoema
      Accessed On: 25 दिसम्बर, 2012
      Select Dataset
      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; The case is fatal where death occurred within one year of the day of the accident. Data provided refers to new fatal occupational injuries per 100'000 in reference group coverage.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The incidence rate is the average number of new cases of fatal occupational injury during the calendar year per 100,000 workers in the reference group. Data are presented disaggregated by sex and economic activity, according to the latest version available of the International Standard Industrial Classification of all Economic Activities (ISIC).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 05 नवम्बर, 2018
      Select Dataset
      This indicator conveys the rate of fatal occupational injuries per 100'000 workers in the reference group. An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; an occupational injury is therefore distinct from an occupational disease, which is a disease contracted as a result of an exposure over a period of time to risk factors arising from work activity. An occupational accident is an unexpected and unplanned occurrence, including acts of violence, arising out of or in connection with work which results in one or more workers incurring a personal injury, disease or death. A case of occupational injury is the case of one worker incurring an occupational injury as a result of one occupational accident. An occupational injury could be fatal (as a result of occupational accidents and where death occurred within one year of the day of the accident) or non-fatal with lost work time. The workers in the particular group under consideration and covered by the source of the statistics of occupational injuries are known as the workers in the reference group. In the case of a notification system, it is the number of workers in, for example, the establishments or selected economic activities covered by the system as set out in the relevant legislation or regulations. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The incidence rate is the average number of new cases of fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • फरवरी 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 26 जून, 2018
      Select Dataset
      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
      Select Dataset
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 02 जुलाई, 2018
      Select Dataset
    • जून 2010
      Source: International Federation of Association Football
      Uploaded by: Knoema
      Accessed On: 20 जून, 2014
      Select Dataset
      FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      Monthly updates of FIFA World Football Men's Ranking 
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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.
    • फरवरी 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 21 फरवरी, 2018
      Select Dataset
      Employment statistics are annual statistics providing data by region on the population’s economic activity and employment.
    • मार्च 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 20 अप्रैल, 2018
      Select Dataset
      These statistics on the structure of the population describe Finnish and foreign citizens permanently resident in Finland at the turn of the year.
    • सितम्बर 2018
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 27 सितम्बर, 2018
      Select Dataset
      The statistics present information about total consumption of energy, electricity production and total consumption and imports and exports of energy.
    • सितम्बर 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 14 दिसम्बर, 2017
      Select Dataset
      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.
    • दिसम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 22 जून, 2018
      Select Dataset
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • फरवरी 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 12 मार्च, 2018
      Select Dataset
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • फरवरी 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 30 अप्रैल, 2018
      Select Dataset
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • सितम्बर 2017
      Source: United Nations World Food Programme
      Uploaded by: Knoema
      Accessed On: 21 दिसम्बर, 2017
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • जून 2014
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 11 दिसम्बर, 2015
      Select Dataset
      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
      Select Dataset
    • जुलाई 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 09 जुलाई, 2018
      Select Dataset
    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 09 अगस्त, 2018
      Select Dataset
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 03 जनवरी, 2018
      Select Dataset
      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/
    • मई 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 25 मई, 2018
      Select Dataset
    • दिसम्बर 2016
      Source: Carbon Dioxide Information Analysis Center
      Uploaded by: Knoema
      Accessed On: 17 मई, 2017
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • अप्रैल 2017
      Source: Freedom House
      Uploaded by: Knoema
      Accessed On: 09 अक्तूबर, 2018
      Select Dataset
      Freedom on the Net measures the subtle and not-so-subtle ways that governments and non-state actors around the world restrict our intrinsic rights online. Freedom on the Net scores are based on a scale of 0 to 100 with 0 representing the best level of freedom on the net progress and 100 the worst. Note: 1)The 2017 ratings reflect the period of June 1, 2016 through May 31, 2017 2)The 2016 ratings reflect the period of June 1, 2015 through May 31, 2016. 3)The 2015 ratings reflect the period January 1 through December 31, 2014.
  • G
    • सितम्बर 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2017
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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."
    • जनवरी 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 फरवरी, 2017
      Select Dataset
      This dataset includes gender inequality and development indices.
    • अक्तूबर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
      Select Dataset
    • फरवरी 2015
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 17 फरवरी, 2015
      Select Dataset
      The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s economic empowerment and understand gender gaps in other key areas of development. Covering 160 countries, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
    • दिसम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 09 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
    • फरवरी 2018
      Source: German Chemicals Industry Association
      Uploaded by: Knoema
      Accessed On: 26 अप्रैल, 2018
      Select Dataset
      Facts and figures for chemistry (2017), Foreign Trade
    • अक्तूबर 2017
      Source: Emission Database for Global Atmospheric Research
      Uploaded by: Knoema
      Accessed On: 15 नवम्बर, 2017
      Select Dataset
      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
      Select Dataset
      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.
    • मार्च 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 28 मार्च, 2018
      Select Dataset
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • जुलाई 2011
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 21 सितम्बर, 2017
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • जुलाई 2017
      Source: International Telecommunication Union
      Uploaded by: Shakthi Krishnan
      Accessed On: 13 सितम्बर, 2017
      Select Dataset
        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
      Select Dataset
      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."
    • मार्च 2017
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2017
      Select Dataset
      The Energy Architecture Performance Index (EAPI) uses a set of indicators to highlight the performance of various countries across each facet of their energy architecture, determining to what extent nations have been able to create affordable, sustainable and secure energy systems   1)Economic growth and development: The extent to which energy architecture supports, rather than detracts from, economic growth and development 2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities 3) Energy access and security: The extent to which energy architecture is at risk of an energy security impact, and whether adequate access to energy is provided to all parts of the population   Note: For detail methodology please visit:"http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2017.pdf"
    • जून 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 14 जून, 2018
      Select Dataset
      The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • मार्च 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 अप्रैल, 2018
      Select Dataset
      Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
    • सितम्बर 2015
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 अक्तूबर, 2015
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • अक्तूबर 2017
      Source: Emission Database for Global Atmospheric Research
      Uploaded by: Knoema
      Accessed On: 10 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
    • अक्तूबर 2018
      Source: International Food Policy Research Institute
      Uploaded by: Knoema
      Accessed On: 29 अक्तूबर, 2018
      Select Dataset
      Global Hunger Index, 2018   The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger. Since 2015, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child under-nutrition, with two indicators of child under-nutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time. GHI scores are calculated using a three-step process that draws on available data from various sources to capture the multidimensional nature of hunger: 1. Undernourishment: The share of the population that is undernourished (that is, whose caloric intake is insufficient). 2. Child wasting and stunting: The share of children under the age of five who are wasted (that is, who have low weight for their height, reflecting acute under-nutrition). 3.Child Stunting: The share of children under the age of five who are stunted (that is, who have low height for their age, reflecting chronic under-nutrition). 4. Child Mortality: The mortality rate of children under the age of five (in part, a reflection of the fatal mix of inadequate nutrition and unhealthy environments).   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Wasting in Children Under Five Years(%)4Prevalence of Stunting in Children Under Five Years (%)5Prevalence of underweight in children under five years (%)   Date for above indicators are taken as per below year ranges. 1   2   3   4   5   Date Range Date Range Date Range Date Range Date Range 2018 2013-2017 2018 2015-2017 2018 2013-2017 2018 2013-2017 2012 2009-2013 2017 2012-2016 2017 2014-2016 2017 2012-2016 2017 2012-2016 2011 2008-2012 2015 2010-2016 2015 2014-2016 2015 2012-2016 2015 2012-2016 2010 2005-2010 2014 2009-2013 2013 2014-2016 2013 2010-2014 2013 2010-2014 2009 2004-2009 2013 2008-2012 2012 2011-2013 2010 2008-2012 2010 2008-2012 2008 2003-2008 2012 2005-2010 2011 2010-2012 2008 2006-2010 2008 2006-2010 2007 2002-2007 2011 2004-2009 2010 2009-2011 2005 2003-2007 2005 2003-2007 2006 2001-2006 2010 2008-2012 2009 2005-2007 2000 1998-2002 2000 1998-2002 2005 2003-2007 2009 2002-2007 2008 2007-2009 1995 1993-1997 1995 1993-1997 2004 2000-2005 2008 2006-2010 2007 2003-2005 1992 1990-1994 1992 1990-1994 2003 1999-2003 2005 2003-2007 2006 2002-2004 1990 1988-1992 1990 1988-1992 2000 1998-2002 2001 1994-1998 2005 2004-2006         1997 1993-1998 2000 1998-2002 2004 2001-2003         1995 1993-1997 1996 1988-1992 2003 2000-2002         1990 1988-1992 1995 1993-1997 2000 1999-2001         1980 1977-1982 1992 1990-1994 1997 1995-1997             1990 1988-1992 1995 1994-1996                 1992 1991-1993                 1990 1990-1992                 1980 1979-1981               6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale ≤ 9.9 low 10.0–19.9 moderate 20.0–34.9 serious 35.0–49.9 alarming 50.0 ≤ extremely alarming
    • जुलाई 2018
      Source: Global Innovation Index
      Uploaded by: Knoema
      Accessed On: 02 अगस्त, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
    • जून 2018
      Source: Institute for Economics and Peace
      Uploaded by: Knoema
      Accessed On: 10 जुलाई, 2018
      Select Dataset
      The Global Peace Index 2018 report finds that the global level of peace has deteriorated by 0.27% over the last year. This is the fourth successive year of deterioration, finding that 92 countries have deteriorated, while 71 countries have improved. The report reveals a world in which tensions, conflicts and crises that have emerged over the past decade remain unresolved, causing a gradual, sustained decline in global levels of peacefulness.
    • नवम्बर 2018
      Source: GlobalPetrolPrices.com
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • नवम्बर 2017
      Source: Institute for Economics and Peace
      Uploaded by: Knoema
      Accessed On: 11 दिसम्बर, 2017
      Select Dataset
      The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.
    • जनवरी 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 जुलाई, 2016
      Select Dataset
    • फरवरी 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 14 जून, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 27 जुलाई, 2018
      Select Dataset
      This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
    • अक्तूबर 2017
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 04 सितम्बर, 2018
      Select Dataset
    • मार्च 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 25 जुलाई, 2018
      Select Dataset
      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.
    • अप्रैल 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 14 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 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
      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.
    • 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.
    • सितम्बर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 18 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 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.
  • H
    • सितम्बर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 अक्तूबर, 2018
      Select Dataset
      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.
    • सितम्बर 2018
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      Health Statistics of Cuba
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 23 जुलाई, 2018
      Select Dataset
    • दिसम्बर 2010
      Source: Maddison Project
      Uploaded by: Knoema
      Select Dataset
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • अगस्त 2018
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2018
      Select Dataset
      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
      Select Dataset
  • I
    • जुलाई 2017
      Source: International Centre for Tax and Development
      Uploaded by: Knoema
      Accessed On: 11 अक्तूबर, 2017
      Select Dataset
      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.
    • फरवरी 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • जुलाई 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 10 अक्तूबर, 2017
      Select Dataset
      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.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 27 अगस्त, 2014
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • मार्च 2016
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2017
      Select Dataset
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 26 अगस्त, 2014
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 26 अगस्त, 2014
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • अगस्त 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 25 अगस्त, 2014
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • मार्च 2016
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2017
      Select Dataset
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • सितम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 2017
      Select Dataset
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. 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
      Select Dataset
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • नवम्बर 2017
      Source: U.S. Department of Homeland Security
      Uploaded by: Knoema
      Accessed On: 21 मई, 2018
      Select Dataset
    • जुलाई 2015
      Source: General Directorate of Statistics, Honduras
      Uploaded by: Knoema
      Accessed On: 17 जून, 2016
      Select Dataset
    • नवम्बर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2018
      Select Dataset
    • जुलाई 2014
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 04 अगस्त, 2014
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 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. 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
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      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.
    • दिसम्बर 2016
      Source: U.S. Patent and Trademark Office
      Uploaded by: Knoema
      Accessed On: 27 जुलाई, 2017
      Select Dataset
      An independent inventor patent is a patent that has ownership that is unassigned or assigned to an individual at the time of grant i.e. ownership of the patent is not assigned to an organization. some U.S. origin patents are assigned to foreign individuals while some foreign origin patents are assigned to U.S. individuals. Therefore, the sum of counts of U.S. origin independent inventor patents usually will not equal the sum of counts of patents owned by "U.S. individuals" and the sum of counts of "foreign origin" independent inventor patents usually will not equal the sum of counts of patents owned by foreign individuals.
    • मार्च 2018
      Source: Global Trade Alert
      Uploaded by: Olga Bikeeva
      Accessed On: 12 मार्च, 2018
      Select Dataset
      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”
    • फरवरी 2018
      Source: Heritage Foundation
      Uploaded by: Knoema
      Accessed On: 23 फरवरी, 2018
      Select Dataset
      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
    • मई 2018
      Source: Coffee Board of India
      Uploaded by: Knoema
      Accessed On: 10 अगस्त, 2018
      Select Dataset
    • जून 2017
      Source: Ministry of Statistics and Programme Implementation, India
      Uploaded by: Knoema
      Accessed On: 14 जुलाई, 2017
      Select Dataset
      This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 refered as 2001. Total Imports/exports includes other countries also.
    • फरवरी 2018
      Source: Ministry of Statistics and Programme Implementation, India
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2018
      Select Dataset
      Source details: India Tourism Statistics 2017
    • जुलाई 2018
      Source: Ministry of Finance, India
      Uploaded by: Knoema
      Accessed On: 05 सितम्बर, 2018
      Select Dataset
      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
    • जुलाई 2016
      Source: United Nations Industrial Development Organization
      Uploaded by: Knoema
      Accessed On: 22 अगस्त, 2016
      Select Dataset
      The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector for the period 1990 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.   Note: Value added and Employnment indicators were extracted from   http://www.unido.org/Data1/IndStatBrief/E_Employement_Wages_and_Employment_Share_per_Sector.cfm?print=no&ttype=C4&Country=ALB&sortBy=&sortDir=&Group=
    • अगस्त 2018
      Source: United Nations Industrial Development Organization
      Uploaded by: Knoema
      Accessed On: 20 अगस्त, 2018
      Select Dataset
      Industrial Statistics Database, INDSTAT 2 2018, ISIC Revision 3 (Demo)
    • 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.
    • फरवरी 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Inflow of migrants refer to the number of immigrants who changed their country of usual residence during the reference period. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by sex and country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • मार्च 2016
      Source: UNESCO Institute for Statistics
      Uploaded by: Knoema
      Accessed On: 30 मार्च, 2016
      Select Dataset
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 मार्च, 2018
      Select Dataset
      The Fertilizer archive dataset contains information on the Production, Trade and Consumption of chemical and mineral fertilizers products, both in total nutrients and in amount of product, over the time series 1961 to 2002. The dataset also contains data on Prices paid by farmers expressed in local currencies (as a consequence no country aggregates are available) for single fertilizer products. This dataset is an archive and it is disseminated as it was in the previous FAOSTAT System. No dataset updates made or to be made in the future.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      This indicator conveys the average number of labour inspectors per 10,000 employed persons, which provides some indication of the resources available for monitoring and enforncing appropriate work conditions and the corresponding standards. Labour inspectors are public officials or other authorities who are responsible for three key labour inspection activities: a) securing the enforcement of the legal provisions relating to conditions of work and the protection of workers while engaged in their work, such as provisions relating to hours, wages, safety, health and welfare, the employment of children and young persons, and other connected matters, in so far as such provisions are enforceable by labour inspectors; b) supplying technical information and advice to employers and workers concerning the most effective means of complying with the legal provisions; c) bringing to the notice of the competent authority defects or abuses not specifically covered by existing legal provisions. Labour inspectors have the authority to initiate processes that may lead to legal action.
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 10 अप्रैल, 2018
      Select Dataset
      Geographic coverage OECD countries, Selected African and Asian countries, Selected Latin American countries Institutional coverage The insurance industry is a key component of the economy by virtue of the amount of premiums it collects, the scale of its investment and, more fundamentally, the essential social and economic role it plays in covering personal and business risks. The "OECD Insurance Statistics" publication provides major official insurance statistics for all OECD countries. The reader will find information on the diverse activities of this industry and on international insurance market trends. The data, which are standardised as far as possible, are broken down under numerous sub-headings, and a series of indicators makes the characteristics of the national markets more readily comprehensible. This publication is an essential tool for civil servants, businessmen and academics working in the insurance field. Item coverage This part consists of tables by indicators, which reflect the most significant characteristics of the OECD insurance market. In most cases, the tables contain data of all OECD countries as well as aggregated "OECD", "EU15" (the 15 member countries of the European Union in 1995) and "NAFTA" data from 1983 to 2015, for the following categories: - life insurance, - non-life insurance - and total. The premiums amounts are converted from national currencies into US dollar. Exchange rates used are end-of-period exchanges rates for all variables valued at the end of the year, and period-average for variables representig a flow during the year.
    • अक्तूबर 2018
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
      Select Dataset
      Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
    • दिसम्बर 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 मार्च, 2016
      Select Dataset
      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • जून 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 29 सितम्बर, 2015
      Select Dataset
      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: U.S. Energy Information Administration
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
    • दिसम्बर 2017
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2017
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 06 फरवरी, 2018
      Select Dataset
      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
      Select Dataset
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 25 जुलाई, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
    • जून 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • जनवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2018
      Select Dataset
      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
      Select Dataset
    • जून 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Pallavi S
      Accessed On: 16 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
  • J
    • अक्तूबर 2017
      Source: Agriculture & Livestock Industries Corporation
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2017
      Select Dataset
      Japan : Sugar Supply and Demand Balance
    • अगस्त 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • K
    • जुलाई 2017
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 22 जून, 2018
      Select Dataset
    • जनवरी 2012
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 26 अगस्त, 2013
      Select Dataset
      The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.
    • सितम्बर 2018
      Source: Kuwait Central Statistical Bureau
      Uploaded by: Knoema
      Accessed On: 04 अक्तूबर, 2018
      Select Dataset
  • L
    • जून 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are 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 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
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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
      Select Dataset
      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
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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
      Select Dataset
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of males.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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
      Select Dataset
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of females.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Labour share in GDP is the total compensation of employees given as a percent of gross domestic product (a measure of total output), both provided in nominal terms. Total compensation refers to the total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the latter during the accounting period.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
      Select Dataset
      This indicator conveys the average number of labour inspection visits conducted by a labour inspector during the year. Labour inspectors are public officials or other authorities who are responsible for three key labour inspection activities: a) securing the enforcement of the legal provisions relating to conditions of work and the protection of workers while engaged in their work, such as provisions relating to hours, wages, safety, health and welfare, the employment of children and young persons, and other connected matters, in so far as such provisions are enforceable by labour inspectors; b) supplying technical information and advice to employers and workers concerning the most effective means of complying with the legal provisions; c) bringing to the notice of the competent authority defects or abuses not specifically covered by existing legal provisions. Labour inspectors have the authority to initiate processes that may lead to legal action. Labour inspection visits refer to the physical presence of a labour inspector in a work place for the purpose of carrying out a labour inspection and which is duly documented as required by national legislation.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
    • मार्च 2018
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 07 मार्च, 2018
      Select Dataset
  • M
    • सितम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 अक्तूबर, 2017
      Select Dataset
      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • जून 2018
      Source: Center for Systemic Peace
      Uploaded by: Knoema
      Accessed On: 25 अक्तूबर, 2018
      Select Dataset
      Center for Systemic Peace, Major Episodes of Political Violence, 1946-2017 (War List), Annual Set lists annual, cross-national, time-series data on interstate, societal, and communal warfare magnitude scores (independence, interstate, ethnic, and civil; violence and warfare) for all countries; Full Set (1946-2012) includes both country data and scores for neighboring countries and regional context for all independent countries (does not include independence wars)
    • मई 2018
      Source: National Horticulture Board, India
      Uploaded by: Knoema
      Accessed On: 25 मई, 2018
      Select Dataset
      Major Fruit Producing Countries in The World, 2016-2018 (1st Advance Estimates)
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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: 12 नवम्बर, 2018
      Select Dataset
      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
      Select Dataset
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • मई 2018
      Source: globalEDGE
      Uploaded by: Knoema
      Accessed On: 26 जून, 2018
      Select Dataset
      Global marketing has become more and more important over the years with the increasing trend of internationalization. Faced with too many choices, marketers have the challenge of determining which international markets to enter and the appropriate marketing strategies for those countries. The purpose of this study is to rank, with a U.S. focus, the market potential of the largest economies and to provide guidance to the U.S. companies that plan to expand their markets internationally. While the U.S. is not included in the rankings, the insights provided by the index are still applicable to companies located in other international markets. This indexing study is conducted by the Michigan State University — International Business Center to help companies compare prospect markets on several dimensions. Eight dimensions are chosen to represent the market potential of a country on a scale of 1 to 100. The dimensions are measured using various indicators and are weighted in determining their contribution to the overall Market Potential Index(MPI). Between years 1996 and 2014, the MPI has been calculated for 26 countries identified as "Emerging Markets" by The Economist magazine. However, in order to cover a wider range of markets, a decision has been made in 2014 to increase the number of countries according to the criteria explained below.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      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.
    • दिसम्बर 2015
      Source: World Bank
      Uploaded by: Mikhail Zhukovskii
      Accessed On: 08 दिसम्बर, 2015
      Select Dataset
    • 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).
    • 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 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: 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.
    • नवम्बर 2017
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 09 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
    • अक्तूबर 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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).
    • दिसम्बर 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 फरवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • जून 2017
      Source: Namibia Statistics Agency
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2018
      Select Dataset
      Namibia Trade statistics, 2016
    • दिसम्बर 2017
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 03 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
    • सितम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 18 सितम्बर, 2018
      Select Dataset
      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.
    • सितम्बर 2015
      Source: Institute of Statistics and Economic Studies, Burundi
      Uploaded by: Knoema
      Accessed On: 28 सितम्बर, 2015
      Select Dataset
    • अक्तूबर 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 26 अक्तूबर, 2015
      Select Dataset
      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.
    • जनवरी 2013
      Source: Maddison Project
      Uploaded by: Knoema
      Accessed On: 20 अक्तूबर, 2015
      Select Dataset
      The Maddison Project has launched an updated version of the original Maddison dataset in January 2013. The update incorporates much of the latest research in the field, and presents new estimates of economic growth in the world economic between AD 1 and 2010. The new estimates are presented and discussed in Bolt and Van Zanden (2014). The Maddison Project: collaborative research on historical national accounts. The Economic History Review, 67 (3): 627–651.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      This indicator presents the average number of new cases of non-fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The incidence rate is the average number of new cases of non-fatal occupational injury during the calendar year per 100,000 workers in the reference group. Data are presented disaggregated by sex and economic activity, according to the latest version available of the International Standard Industrial Classification of all Economic Activities (ISIC).
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 05 नवम्बर, 2018
      Select Dataset
      This indicator conveys the rate of non-fatal occupational injuries per 100'000 workers in the reference group. An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; an occupational injury is therefore distinct from an occupational disease, which is a disease contracted as a result of an exposure over a period of time to risk factors arising from work activity. An occupational accident is an unexpected and unplanned occurrence, including acts of violence, arising out of or in connection with work which results in one or more workers incurring a personal injury, disease or death. A case of occupational injury is the case of one worker incurring an occupational injury as a result of one occupational accident. An occupational injury could be fatal (as a result of occupational accidents and where death occurred within one year of the day of the accident) or non-fatal with lost work time. The workers in the particular group under consideration and covered by the source of the statistics of occupational injuries are known as the workers in the reference group. In the case of a notification system, it is the number of workers in, for example, the establishments or selected economic activities covered by the system as set out in the relevant legislation or regulations. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The incidence rate is the average number of new cases of non-fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • अगस्त 2018
      Source: The National Committee on North Korea
      Uploaded by: Knoema
      Accessed On: 13 अगस्त, 2018
      Select Dataset
    • अप्रैल 2018
      Source: WorldAeroData
      Uploaded by: Knoema
      Accessed On: 19 अप्रैल, 2018
      Select Dataset
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
      Select Dataset
      Labour inspection visits refer to the physical presence of a labour inspector in a workplace for the purpose of carrying out a labour inspection and which is duly documented as required by national legislation.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Labour inspectors are public officials or other authorities who are responsible for three key labour inspection activities: a) securing the enforcement of the legal provisions relating to conditions of work and the protection of workers while engaged in their work, such as provisions relating to hours, wages, safety, health and welfare, the employment of children and young persons, and other connected matters, in so far as such provisions are enforceable by labour inspectors; b) supplying technical information and advice to employers and workers concerning the most effective means of complying with the legal provisions; c) bringing to the notice of the competent authority defects or abuses not specifically covered by existing legal provisions. Labour inspectors have the authority to initiate processes that may lead to legal action.
  • O
    • नवम्बर 2017
      Source: Ocean Health Index
      Uploaded by: Shakthi Krishnan
      Accessed On: 20 जुलाई, 2018
      Select Dataset
      Ocean Health Index
    • अक्तूबर 2013
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 29 अक्तूबर, 2013
      Select Dataset
      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.
    • फरवरी 2018
      Source: Wikipedia
      Uploaded by: Knoema
      Accessed On: 28 फरवरी, 2018
      Select Dataset
    • फरवरी 2018
      Source: Wikipedia
      Uploaded by: Knoema
      Accessed On: 01 मार्च, 2018
      Select Dataset
    • फरवरी 2018
      Source: Wikipedia
      Uploaded by: Knoema
      Accessed On: 01 मार्च, 2018
      Select Dataset
    • नवम्बर 2018
      Source: National Centre for Statistics and Information, Oman
      Uploaded by: Knoema
      Accessed On: 09 नवम्बर, 2018
      Select Dataset
      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.
    • मई 2018
      Source: Organization of Petroleum Exporting Countries-OPEC
      Uploaded by: Knoema
      Accessed On: 14 जून, 2018
      Select Dataset
      The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration and transportation activities. The publication contains key statistical data on oil and natural gas activities in each of OPEC's 14 Member Countries: Algeria, Angola, Ecuador, Equatorial Guinea, Gabon, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications, mainly by geographical region, and covers the major economic areas around the world. This year’s 2018 ASB, which comprises data up to the end of 2017, includes the following important highlights: In 2017, world crude oil production declined by 701,000 b/d, or 0.9 per cent, as compared to 2016, to reach 74.69m b/d marking the first yearly decline since 2009. OPEC crude oil production fell year-on-year by 926,000 b/d, or 2.8 per cent, while crude production in non-OPEC countries registered gains. The biggest increases were for the United States with 498,000 b/d, or 5.6 per cent, and Libya with 427,000 b/d or 109.5 per cent, while the largest declines for Saudi Arabia with 501,000 b/d, or 4.8 per cent, and Venezuela with 338,000 b/d or 14.2 per cent. In 2017, the top three crude oil producing countries were Russia (10.35m b/d ), Saudi Arabia (9.96m b/d) and the United States (9.36m b/d). World oil demand averaged 97.20m b/d in 2017, up by 1.7 per cent y-o-y, with the largest increases taking place in Asia and Pacific region (particularly China and India), Europe and North America. The 2017 oil demand in Africa and the Middle East grew by around 100,000 b/d, as compared to 2016, while oil demand declined in Latin America for the third year in a row. Total OECD oil demand grew solidly for the third consecutive year in 2017, while oil demand in OPEC Member Countries returned to modest growth after declining during 2016. Distillates and gasoline account for around 55.6 per cent of 2017 total world oil demand and are on increasing trends. The share of residual fuel oil requirements out of total oil demand in 2017 amounts roughly to 7.2 per cent. Total exports of crude oil from OPEC Member Countries averaged 24.86m b/d in 2017 declining by 406,000 b/d, or 1.6 per cent, as compared to 2016. As in previous years, the bulk of crude oil from Member Countries was exported to the Asia and Pacific region, in the amount of 15.56m b/d or 62.6 per cent. Significant volumes of crude oil were also exported to Europe, which increased its imports from OPEC Member Countries from 4.40m b/d in 2016 to 4.64m b/d in 2017. North America imported 3.21m b/d of crude oil from Member Countries, which was 82,000 b/d, or 2.5 per cent, less compared to 2016 volumes. OPEC Member Country exports of petroleum products averaged 5.07m b/d during 2017, down by 216,000 b/d, or 4.1 per cent, compared to 2016. Their imports of petroleum products stood at 1.98m b/d in 2017, roughly 105,000 b/d, or 5.1 per cent, lower than in 2016. Total world proven crude oil reserves stood at 1,483bn b at the end of 2017, decreasing slightly by 0.4 per cent from the level of 1,489bn b reached at the end of the previous year. Total proven crude oil reserves in Member Countries decreased by 0.3 per cent to 1,214bn b at the end of 2017 but slightly increased their share of total world crude oil reserves, from 81.8 per cent in 2016 to 81.9 per cent in 2017. In 2017, total world proven natural gas reserves rose by 0.2 per cent to approximately 199.4 trillion standard cu m. This increase in natural gas reserves came mainly on the back of new discoveries in the Asia and Pacific region. Proven natural gas reserves in Member Countries stood at 95.95tr standard cu m, unchanged from the level of the previous year. World refinery capacity expanded by 104,000 b/cd to stand at 96.93m b/cd during 2017, mainly supported by additions in the Asia and Pacific region, particularly China and India. 2017 refinery capacity in the OECD declined by 171,000 b/cd, mainly due to closures in Europe and Japan. Global refinery throughput ramped up by 1.6 per cent to reach 83.7m b/d in 2017, with the largest gains in the Asia and Pacific region and North America. The OPEC Reference Basket averaged $52.43/b in 2017, up from $40.76/b in 2016. The yearly increase valued at $11.67/b, or 28.6 per cent, compared to 2016. The 2017 volatility stood at $5.00/b, or 9.5 per cent, relative to the yearly average.
    • अप्रैल 2018
      Source: Open Data Watch
      Uploaded by: Knoema
      Accessed On: 12 अप्रैल, 2018
      Select Dataset
      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
      Select Dataset
      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.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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.
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2017
      Select Dataset
      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
      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.
  • P
    • सितम्बर 2018
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 13 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.
    • सितम्बर 2017
      Source: Passport Index
      Uploaded by: Knoema
      Accessed On: 13 सितम्बर, 2017
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 12 जनवरी, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 03 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Description not available
    • दिसम्बर 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 09 मार्च, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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. 
    • अक्तूबर 2018
      Source: ICC International Maritime Bureau
      Uploaded by: Knoema
      Accessed On: 31 अक्तूबर, 2018
      Select Dataset
      Piracy and Armed Robbery against Ships
    • सितम्बर 2017
      Source: Political Terror Scale
      Uploaded by: Knoema
      Accessed On: 27 नवम्बर, 2017
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 09 अगस्त, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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.
    • मई 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 29 नवम्बर, 2015
      Select Dataset
    • सितम्बर 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 25 अक्तूबर, 2018
      Select Dataset
      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
      Uploaded by: Knoema
      Accessed On: 20 सितम्बर, 2017
      Select Dataset
      The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/
    • अक्तूबर 2018
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2018
      Select Dataset
    • मई 2015
      Source: Earth Policy Institute
      Uploaded by: Knoema
      Accessed On: 26 जून, 2015
      Select Dataset
      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).
    • दिसम्बर 2016
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 02 मार्च, 2017
      Select Dataset
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 25 अप्रैल, 2018
      Select Dataset
      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
      Select Dataset
      Description not available
    • जून 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 25 जनवरी, 2017
      Select Dataset
      Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.
    • दिसम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 04 जनवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      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
      Select Dataset
      Description not available
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Description not available
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Description not available
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Description not available
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
      Select Dataset
      Description not available
  • Q
    • जनवरी 2018
      Source: Quality of Government Institute
      Uploaded by: Knoema
      Accessed On: 16 फरवरी, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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/.
    • नवम्बर 2018
      Source: ClinicalTrials.gov
      Uploaded by: Knoema
      Accessed On: 16 नवम्बर, 2018
      Select Dataset
      Registered studies by ClinicalTrials.gov, As of November 15, 2018
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 09 अक्तूबर, 2018
      Select Dataset
      A workplace can be defined as any physical space, whether a physical construction (such as a building or set of buildings) or not, in which at least one employed person carries out their work activities. Only those workplaces that are registered and could potentially be selected for labour inspection are included in the total number.
    • अगस्त 2012
      Source: Multiple Sources
      Uploaded by: Carpe Facto
      Select Dataset
      Spread of religions across the World, by country
    • जुलाई 2018
      Source: International Renewable Energy Agency
      Uploaded by: Knoema
      Accessed On: 04 अक्तूबर, 2018
      Select Dataset
      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
      Select Dataset
      Reserve Bank of Australia Assets and Liabilities
    • नवम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 15 दिसम्बर, 2017
      Select Dataset
      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
      Select Dataset
      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.
    • नवम्बर 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 14 दिसम्बर, 2017
      Select Dataset
    • मार्च 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 06 अप्रैल, 2018
      Select Dataset
      Revenue Statistics in LAC Countries is a joint publication by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the Economic Commission for Latin America and the Caribbean (ECLAC) , the Inter-American Center for Tax Administrations (CIAT) and the Interamerican Development Bank (IDB). It presents detailed, internationally comparable data on tax revenues for 24 Latin American and Caribbean economies, two of which (Chile and Mexico) are OECD members. Its approach is based on the well-established methodology of the OECD Revenue Statistics (OECD, 2016), which has become an essential reference source for OECD member countries. Comparisons are also made with the average for OECD economies. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values
    • मार्च 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 08 अक्तूबर, 2018
      Select Dataset
      Reference Series - Latin American Countries Source: OECD National Accounts data for Chile and Mexico and official National Accounts data for the other countries
    • फरवरी 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 13 जून, 2018
      Select Dataset
      Greenhouse gas (GHG) emissions from rice cultivation consist of methane gas from the anaerobic decomposition of organic matter in paddy fields. 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) and the IPCC 2000 Good Practice Guidance and Uncertainty Management in National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/gp/english/). 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 both as Gg CH4 and Gg CO2eq. Implied emission factor for CH4 and activity data are also provided.
  • S
    • अगस्त 2018
      Source: General Authority for Statistics, Kingdom of Saudi Arabia-GaStat
      Uploaded by: Shakthi Krishnan
      Accessed On: 10 सितम्बर, 2018
      Select Dataset
    • अगस्त 2018
      Source: Scimago Lab
      Uploaded by: Knoema
      Accessed On: 03 सितम्बर, 2018
      Select Dataset
      The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators.  
    • मार्च 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 04 अप्रैल, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      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 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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 नवम्बर, 2018
      Select Dataset
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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
      Select Dataset
      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.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 13 नवम्बर, 2018
      Select Dataset
      Data provided refers to the employment in the services sector as a share of total employment.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. This indicator presents the number of unemployed with an advanced level of education (tertiary education) as a percent of the unemployed population.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Data provided refers to the unemployed persons whose level of education is primary or lower-secondary as a percent of the labour force with the same education level.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. This indicator presents the number of unemployed with an intermediate level of education (upper-secondary or post-secondary non-tertiary education) as a percent of the unemployed population.
    • सितम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 12 सितम्बर, 2018
      Select Dataset
      Description not available
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Description not available
    • दिसम्बर 2013
      Source: IndexMundi
      Uploaded by: Knoema
      Accessed On: 16 दिसम्बर, 2013
      Select Dataset
      Sheath Contraceptives of Vulcanised Rubber Exports
    • अप्रैल 2018
      Source: Stockholm International Peace Research Institute
      Uploaded by: Knoema
      Accessed On: 29 मई, 2018
      Select Dataset
      The SIPRI Military Expenditure Database contains consistent time series on the military spending of countries for the period 1949–2017. The database is updated annually, which may include updates to data for any of the years included in the database. Military expenditure in local currency at current prices is presented according to both the financial year of each country and according to calendar year, calculated on the assumption that, where financial years do not correspond to calendar years, spending is distributed evenly through the year. Figures in constant (2016) and current US $, as a share of GDP and per capita are presented according to calendar year. Figures as a share of government expenditure are presented according to financial year. The availability of data varies considerably by country, but for a majority of countries that were independent at the time, data is available from at least the late 1950s. Estimates for regional military expenditure have been extended backwards depending on availability of data for countries in the region, but no estimates for total world military expenditure are available before 1988 due to the lack of data for the Soviet Union.
    • जून 2014
      Source: Scimago Lab
      Uploaded by: Knoema
      Accessed On: 04 जून, 2014
      Select Dataset
      The SIR reports are not league tables. The ranking parameter –the scientific output of institutions- should be understood as a default rank, not our ranking proposal. The only goal of this report is to characterize research outcomes of organizations so as to provide useful scientometric information to institutions, policymakers and research manager so they are able to analyze, evaluate and improve their research results. If someone uses this report to rank institutions or to build a league table with any purpose, he/she will do it under his/her own responsibility. Output - Total number of documents published in scholarly journals indexed in Scopus (Romo-Fernández, et al., 2011). International Collaboration - Institution's output ratio produced in collaboration with foreign institutions. The values are computed by analyzing an institution's output whose affiliations include more than one country address (Guerrero-Bote, Olmeda-Gómez and Moya-Anegón, 2013; Lancho-Barrantes, Guerrero-Bote and Moya-Anegón, 2013; Lancho-Barrantes, et al., 2013; Chinchilla-Rodríguez, et al., 2012) Normalized Impact - Normalized Impact is computed using the methodology established by the Karolinska Intitutet in Sweden where it is named "Item oriented field normalized citation score average". The normalization of the citation values is done on an individual article level. The values (in %) show the relationship between an institution's average scientific impact and the world average set to a score of 1, --i.e. a NI score of 0.8 means the institution is cited 20% below world average and 1.3 means the institution is cited 30% above average (Rehn and Kronman, 2008; González-Pereira, Guerrero-Bote and Moya- Anegón, 2011). High Quality Publications - Ratio of publications that an institution publishes in the most influential scholarly journals of the world, those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011). Specialization Index - The Specialization Index indicates the extent of thematic concentration /dispersion of an institution’s scientific output. Values range between 0 and 1, indicating generalist vs. specialized institutions respectively. This indicator is computed according to the Gini Index used in Economy (Moed, et. al., 2011; López-Illescas, Moya-Anegón and Moed, 2011; Arencibia-Jorge et al., 2012). In this indicator, when the value is 0 it means that the data are not sufficient to calculate. Excellence Rate - Excellence rate indicates the amount (in %) of an institution’s scientific output that is included into the set of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality output of research institutions (SCImago Lab, 2011; Bornmann, Moya-Anegón and Leydesdorff, 2012; Guerrero-Bote and Moya-Anegón, 2012). Scientific Leadership - Leadership indicates an institution’s “output as main contributor”, that is the number of papers in which the corresponding author belongs to the institution (Moya-Anegón, 2012; Moya-Anegón et. al, 2013; Moya-Anegón, et al., forthcoming) Excellence with Leadership - Excellence with Leadership indicates the amount of documents in the Excellence rate in which the institution is the main contributor (Moya-Anegón, et al., 2013).
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Description not available
    • जून 2017
      Source: Social Progress Imperative
      Uploaded by: Knoema
      Accessed On: 29 जून, 2017
      Select Dataset
      The Social Progress Index is an aggregate index of social and environmental indicators that capture three dimensions of social progress: Basic Human Needs, Foundations of Wellbeing, and Opportunity. The 2017 Social Progress Index includes data from 128 countries on 50 indicators.
    • अक्तूबर 2017
      Source: National Office of Statistics of the Republic of Cuba
      Uploaded by: Knoema
      Accessed On: 02 नवम्बर, 2017
      Select Dataset
      Sports and Culture of Cuba, 2016
    • अगस्त 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      This indicator is a proxy for the availability of health care. It represents the percentage of the population without access to health care due to the absence of the health workforce. The threshold for having a sufficient health workforce is 41.1 health workers per 10 000 population. A higher figure indicates worse availability. Note that this indicator reflects the supply side of availability, in this case the availability of human resources is at a level that guarantees at least basic, but universal, access. To estimate access to the services of skilled medical professionals (physicians, nursing and midwifery personnel), it uses as a proxy the relative difference between the density of these health workers in a given country (number per 10 000 population) and its median value in countries with a low level of vulnerability (defined according to the structure of employment and levels of poverty).To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. The same principle applies to the staff access deficit indicator, for which the 2014 median in low-vulnerability countries was 41.1. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2018
      Select Dataset
      Data refer to the minimum monthly earnings of all employees as of December 31st of each year. Minimum wages are not reported for countries for which collective bargaining is in place for minimum wages. In cases where a national minimum wage is not mandated, the minimum wage in place in the capital or major city is used. In some cases, an average of multiple regional minimum wages is used. In countries where the minimum wage is set at the sectoral level or occupational level, the minimum wage for manufacturing or unskilled workers is generally applied. This is a harmonized series: (1) data reported as hourly, weekly, and yearly are converted to monthly, 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: 13 नवम्बर, 2018
      Select Dataset
      Data refer to the minimum monthly earnings of all employees as of December 31st of each year. Minimum wages are not reported for countries for which collective bargaining is in place for minimum wages. In cases where a national minimum wage is not mandated, the minimum wage in place in the capital or major city is used. In some cases, an average of multiple regional minimum wages is used. In countries where the minimum wage is set at the sectoral level or occupational level, the minimum wage for manufacturing or unskilled workers is generally applied. This is a harmonized series: (1) data reported as hourly, weekly, and yearly are first converted to monthly, using data on average weekly hours if available, and then converted to constant 2011 PPP dollars using 2011 purchasing power parity (PPP) rates. This allows for international comparisons by taking account of the differences in relative prices between countries.
    • अक्तूबर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 30 अक्तूबर, 2018
      Select Dataset
      Data refer to the statutory minimum monthly gross earnings of employees as of December 31st of each year, presented in nominal terms. Minimum wages are not reported for countries for which collective bargaining is in place for minimum wages. In cases where a national minimum wage is not mandated, the minimum wage in place in the capital or major city is used. In some cases, an average of multiple regional minimum wages is used. In countries where the minimum wage is set at the sectoral level or occupational level, the minimum wage for manufacturing or unskilled workers is generally applied.
    • दिसम्बर 2017
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 03 अक्तूबर, 2018
      Select Dataset
      Excess capacity is one of the main challenges facing the global steel sector. The OECD Steel making Capacity database contains data on crude steel making capacity by economy and provides researchers and policymakers with an important tool for analyzing steel capacity developments.
    • दिसम्बर 2017
      Source: World Steel Association
      Uploaded by: Knoema
      Accessed On: 10 जुलाई, 2018
      Select Dataset
      Worldsteel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from (1991 - 2016) on crude steel production by process, steel production by product, steel trade by product, apparent steel use, and production of pig iron and directly reduced iron. It also includes data on production and trade of iron ore and trade of scrap as well as data on indirect exports and imports of steel and true steel use. The statistics were collected from members of worldsteel and various international organisations.
    • फरवरी 2015
      Source: World Life Expectancy
      Uploaded by: Knoema
      Accessed On: 07 मई, 2015
      Select Dataset
    • अप्रैल 2018
      Source: U.S. Agency for International Development
      Uploaded by: Knoema
      Accessed On: 13 जुलाई, 2018
      Select Dataset
      These tables offer a summary of obligations and disbursements in current and constant dollars by funding agency, funding account, and country from 2001 to the most recent year.
    • अप्रैल 2018
      Source: U.S. Agency for International Development
      Uploaded by: Knoema
      Accessed On: 13 जुलाई, 2018
      Select Dataset
      These tables offer a summary of obligations and disbursements in current and constant dollars by implementing agency and country from 2001 to the most recent year.
    • अप्रैल 2018
      Source: U.S. Agency for International Development
      Uploaded by: Knoema
      Accessed On: 13 जुलाई, 2018
      Select Dataset
      These tables offer a summary of obligations and disbursements in current and constant dollars by country from 1946 to the most recent year.
    • अप्रैल 2018
      Source: U.S. Agency for International Development
      Uploaded by: Knoema
      Accessed On: 13 जुलाई, 2018
      Select Dataset
      These tables offer a summary of obligations and disbursements in current and constant dollars by U.S. Government (USG) sector and country from 2001 to the most recent year.
    • दिसम्बर 2013
      Source: DatabaseSports
      Uploaded by: Knoema
      Accessed On: 12 दिसम्बर, 2013
      Select Dataset
      Summer Olympics
    • दिसम्बर 2013
      Source: DatabaseSports
      Uploaded by: Knoema
      Accessed On: 12 दिसम्बर, 2013
      Select Dataset
      Summer Olympics
    • मई 2018
      Source: Suriname Tourism Foundation
      Uploaded by: Knoema
      Accessed On: 03 जुलाई, 2018
      Select Dataset
      Location:-Visitors are coming from mentioned location.(World is total of all visitors) Nationality:-Nationality of visitors, whether the nationality of the visitors is same as the location or they belong to different nationality.(Under this dimension "Total" represents total number of visitors by their nationality) Ports:-Tourist arrival via ports.
    • जून 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 04 जून, 2018
      Select Dataset
    • जुलाई 2018
      Source: Bertelsmann Stiftung
      Uploaded by: Knoema
      Accessed On: 17 अक्तूबर, 2018
      Select Dataset
      Data cited at: https://uaenumbers.fcsa.gov.ae/SDGIX2018Aug The 2018 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
    • जुलाई 2018
      Source: Sustainable Development Solutions Network
      Uploaded by: Knoema
      Accessed On: 10 अगस्त, 2018
      Select Dataset
      The 2018 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
    • जुलाई 2017
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 08 सितम्बर, 2017
      Select Dataset
      On 1 January 2016, the world officially began implementation of the 2030 Agenda for Sustainable Development—the transformative plan of action based on 17 Sustainable Development Goals—to address urgent global challenges over the next 15 years. The Sustainable Development Goals Database in UNdata presents data for the global SDG indicators that were compiled through the UN System in preparation for the Secretary-Generals annual report on “Progress towards the Sustainable Development Goals”. The data series respond to the global indicator framework that was agreed, as a starting point, by the Statistical commission at its forty-seventh session in March 2016. The database contains SDG indicator series and additional indicator series. The list of SDG indicators is subject to refinement by the United Nations Statistical Commission.
  • T
    • नवम्बर 2015
      Source: Save the Children Federation
      Uploaded by: Knoema
      Accessed On: 07 दिसम्बर, 2015
      Select Dataset
    • जून 2018
      Source: Walk Free Foundation
      Uploaded by: Knoema
      Accessed On: 23 जुलाई, 2018
      Select Dataset
      The Global Slavery Index, the flagship report of the Walk Free Foundation. The Global Slavery Index estimates the number of people in modern slavery in 167 countries. It is a tool for citizens, non government organisations, businesses and public officials to understand the size of the problem, existing responses and contributing factors, so they can build sound policies that will end modern slavery. The Global Slavery Index answers the following questions: What is the estimated prevalence of modern slavery country by country, and what is the absolute number by population? How are governments tackling modern slavery? What factors explain or predict the prevalence of modern slavery? Government Response Rating by Country A - 70 to 79.9 BBB - 60 to 69.9 BB - 50 to 59.9 B - 40 to 49.9 CCC - 30 to 39.9 CC - 20 to 29.9 C - 10 to 19.9 D - <0 to 9.9
    • मार्च 2013
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 03 मार्च, 2014
      Select Dataset
      The CDS (the Common Data Set) is a joint effort by Eurostat, OECD, UNSD, UNCTAD and WTO to reconcile their time series on merchandise trade statistics, using international standards as a benchmark. Each agency is in charge of supplying figures for a predefined set of reporting economies (see Data Providing Agencies and Sources). Reconciliations, co-ordinated by WTO, consist of scrutinising significant differences between the agencies' data to determine the best value. In many instances, this results in finding an agreement on substitution values and estimates. Thus, the CDS database gives access to statistics and documentation of both officially reported and reconciled series. It covers annual total merchandise export and import values of over 200 economies for the period 1995 to 2011.
    • दिसम्बर 2003
      Source: University of Oxford
      Uploaded by: Knoema
      Select Dataset
      The data base contains statistical series for a wide range of economic and social indicators covering twenty countries in the region for the twentieth century and beyond. Its purpose is to provide economic and social historians worldwide with a systematic collection of available statistical information in a single on-line source. The data presented in MOxLAD have been collected with a view toward providing comprehensive coverage while ensuring as much consistency and intercountry comparability as possible in the definition, coverage, and valuation of the series.
    • जून 2018
      Source: World Inequality Database (WID)
      Uploaded by: Knoema
      Accessed On: 08 जून, 2018
      Select Dataset
      The World Inequality Report 2018 relies on a cutting-edge methodology to measure income and wealth inequality in a systematic and transparent manner. By developing this report, the World Inequality Lab seeks to fill a democratic gap and to equip various actors of society with the necessary facts to engage in informed public debates on inequality.   Table: MacroData: Which contains macro data series (aggregate and total income and wealth variables, as well as population variables and other macro indicator such as deflators, exchange rates, etc.) Inequality Data: Which contains inequality data series (income and wealth shares, thresholds, averages for different percentiles of the population).
    • दिसम्बर 2015
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 19 अगस्त, 2017
      Select Dataset
      The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
    • मार्च 2017
      Source: Bloomberg
      Uploaded by: Knoema
      Accessed On: 27 नवम्बर, 2017
      Select Dataset
      To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.
    • अक्तूबर 2011
      Source: Pacific Institute
      Uploaded by: Knoema
      Select Dataset
      Water is one of our most critical resources, but around the world it is under threat. Worldwater.org is dedicated to providing information and resources to help protect and preserve fresh water around the globe.
    • अक्तूबर 2013
      Source: World Chess Federation
      Uploaded by: Knoema
      Accessed On: 08 अक्तूबर, 2013
      Select Dataset
      This Dataset consists of top 100 chess players for the period of starting from 2001 January.
    • जनवरी 2017
      Source: World Integrated Trade Solution
      Uploaded by: Knoema
      Accessed On: 02 मई, 2018
      Select Dataset
      This dataset provides trade and tariff data for countries where the reporter is "World".
    • अक्तूबर 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2017
      Select Dataset
      This table provides estimates from 1950 to 2015 and projections from 2016 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
    • नवम्बर 2018
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 06 नवम्बर, 2018
      Select Dataset
      Description not available
    • सितम्बर 2014
      Source: International Labour Organization
      Uploaded by: Knoema
      Accessed On: 31 अगस्त, 2018
      Select Dataset
      Description not available
    • अक्तूबर 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 03 नवम्बर, 2014
      Select Dataset
      Estimates and forecasts on labour force data: (1) Total labour force and female labour force, expressed in thousands (2) Total agriculture labour force and female labour force, expressed in thousands.
    • सितम्बर 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema
      Accessed On: 26 सितम्बर, 2018
      Select Dataset
      Official Development Financing (ODF), measured for recipient countries only, is defined as the sum of their receipts of bilateral ODA, concessional and non-concessional resources from multilateral sources, and bilateral other official flows made available for reasons unrelated to trade, in particular loans to refinance debt.
    • अप्रैल 2018
      Source: Organisation for Economic Co-operation and Development-OECD
      Uploaded by: Knoema