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朝鮮民主主義人民共和国

  • Supreme Leader:Kim Jong-un
  • 首相:Pak Pong-ju
  • 首都:Pyongyang
  • 言語:Korean
  • 政府
  • 統計局:No data
  • 人口、人:25,549,819 (2018)
  • 面積、平方キロメートル:120,410
  • 1人当たりGDP、US $:No data
  • GDP、現在の10億米ドル:No data
  • GINI指数:No data
  • ビジネスのしやすさランク:No data
すべてのデータセット:  3 A B C D E F G H I J L M N O P Q R S T U V W В
  • 3
    • 10月 2016
      ソース: Philipps-University of Marburg, Empirical Institutional Economics
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2016
      データセットを選択
      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
    • 12月 2018
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2018
      データセットを選択
      World Electricity access database Hundreds of millions of people have gained access to modern energy over the last two decades, especially in China and India. Rapid economic development in several developing countries, increasing urbanisation and ongoing energy access programmes have been important factors in this achievement. The IEA Access to Energy database provides a snapshot of progress made toward meeting the ultimate goal of universal access. Note: For indicator population without access, value 1 represent <1 except Botswana, Guatemala countries
    • 7月 2016
      ソース: Knoema
      アップロード者: Knoema
      データセットを選択
      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 5月 2013
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 1月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 5月 2013
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 5月 2013
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 4月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 02 7月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 01 4月, 2019
      データセットを選択
      Data source(s) used: Crimes reported to the Judicial authorities by the State Police, Carabinieri and Guardia di Finanza: Are processed the data on felonies and people who were reported by police to the court Other data characteristics: Data referring to social demographic characteristics of alleged offenders could not coincide with data on reports because of the different timing of extraction from police forces database.The sum of the crimes by province could not coincide with the total of the region, and that of the regions with the total Italy, because of the missed precise statement, for some crimes, of the place where they have been committed (or of the region of the committed crime but not of the province).
    • 8月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 19 11月, 2018
      データセットを選択
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • 1月 2014
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2015
      データセットを選択
      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.
    • 8月 2015
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2019
      データセットを選択
      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
    • 3月 2019
      ソース: Stockholm International Peace Research Institute
      アップロード者: Knoema
      以下でアクセス: 19 3月, 2019
      データセットを選択
      Data cited at: Stockholm International Peace Research Institute (SIPRI)   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/
  • B
    • 10月 2018
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2019
      データセットを選択
    • 11月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 01 4月, 2019
      データセットを選択
      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
    • 1月 2018
      ソース: Bertelsmann Stiftung
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2018
      データセットを選択
      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.
    • 4月 2014
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2016
      データセットを選択
      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • 4月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 14 11月, 2018
      データセットを選択
      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
    • 7月 2019
      ソース: United Nations COMTRADE
      アップロード者: Knoema
      以下でアクセス: 23 7月, 2019
      データセットを選択
      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).
    • 4月 2017
      ソース: Bloom Consulting
      アップロード者: Knoema
      以下でアクセス: 24 5月, 2017
      データセットを選択
      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.
    • 3月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
    • 3月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
  • C
    • 10月 2017
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2018
      データセットを選択
      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.
    • 8月 2019
      ソース: Government of Canada
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2019
      データセットを選択
      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
    • 6月 2019
      ソース: Statistics Canada
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2019
      データセットを選択
      For the location "Puerto Rico" data is available from 1990.
    • 12月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 02 1月, 2019
      データセットを選択
      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   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 deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • 5月 2018
      ソース: China Association of Automobile Manufacturers
      アップロード者: Shakthi Krishnan
      以下でアクセス: 13 9月, 2018
      データセットを選択
      World: Car Sales by Country 2017
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Sivakama Sundari
      以下でアクセス: 05 12月, 2018
      データセットを選択
      The Global Burden of Disease Study 2017 (GBD 2017), 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.
    • 2月 2019
      ソース: United Nations Children's Fund
      アップロード者: Knoema
      以下でアクセス: 08 4月, 2019
      データセットを選択
      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
    • 8月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 07 8月, 2019
      データセットを選択
    • 2月 2019
      ソース: End Coal
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2019
      データセットを選択
      Data cited at: End Coal https://endcoal.org/ Topic: Coal Plants by country Publication URL: https://endcoal.org/global-coal-plant-tracker/summary-statistics/ License: https://creativecommons.org/licenses/by-nc/4.0/
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 3月 2016
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2016
      データセットを選択
    • 7月 2019
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2019
      データセットを選択
      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • 8月 2019
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 19 8月, 2019
      データセットを選択
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 12月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2019
      データセットを選択
      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).
    • 1月 2019
      ソース: Transparency International
      アップロード者: Pallavi S
      以下でアクセス: 01 2月, 2019
      データセットを選択
      Data cited at CORRUPTION PERCEPTIONS INDEX 2018 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/cpi2018 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.
    • 1月 2019
      ソース: NYU Stern
      アップロード者: Knoema
      以下でアクセス: 13 2月, 2019
      データセットを選択
      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   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. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
    • 4月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 21 5月, 2018
      データセットを選択
      Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. 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
    • 7月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2016
      データセットを選択
      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
    • 6月 2019
      ソース: Numbeo
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2019
      データセットを選択
      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • 12月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 11 6月, 2019
      データセットを選択
      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
    • 6月 2018
      ソース: Bank of Canada
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2019
      データセットを選択
      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 1960 to 2016 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.
    • 6月 2019
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2019
      データセットを選択
      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.
    • 5月 2013
      ソース: Central Bureau of Statistics, DPR Korea
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2014
      データセットを選択
      Demography Statistics of DPR Korea, 2014
    • 4月 2019
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2019
      データセットを選択
      This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and future scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
    • 7月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 10 8月, 2018
      データセットを選択
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Sivakama Sundari
      以下でアクセス: 03 12月, 2018
      データセットを選択
      GBD 2017 - Disability-Adjusted Life Years and Healthy Life Expectancy 1990-2017 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.
    • 8月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2019
      データセットを選択
      Note: All data contained within is provisional. The annual number of cases of measles and rubella officially reported by a member state is only available by July of each following year (through the joint WHO UNICEF annual data collection exercise). “provisional data based on monthly data reported to WHO (Geneva) as of April 2019”. Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization. Some countries report cases at irregular intervals, providing multiple months of data in a one month period. Future months are reported as 0 and will be updated as data is available. When data is used in public settings, please acknowledge the data source is the World Health Organization.
    • 12月 2008
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Peter Speyer
      データセットを選択
      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
    • 8月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • 12月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 12月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 2月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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).
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 5月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 12月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 12月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 12月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 5月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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).
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
    • 4月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 03 5月, 2019
      データセットを選択
      Employed migrants refer to the number of persons who changed their country of usual residence and were also employed during a specified brief period. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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. 
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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. 
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 6月 2019
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2019
      データセットを選択
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 005 -- Energy import and export by country, % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_005_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary
    • 6月 2019
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2019
      データセットを選択
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 006 -- Energy import and export by country, proportion % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_006_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary
    • 6月 2019
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2019
      データセットを選択
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Energy import and export by country http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_004_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description Consepts and definitions *Year preliminary
    • 5月 2018
      ソース: Federal Institute for Geosciences and Natural Resources
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2018
      データセットを選択
    • 3月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 3月, 2019
      データセットを選択
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • 9月 2015
      ソース: Multiple Sources
      アップロード者: Knoema
      以下でアクセス: 10 9月, 2015
      データセットを選択
    • 3月 2019
      ソース: Statistics Canada
      アップロード者: Knoema
      以下でアクセス: 13 3月, 2019
      データセットを選択
    • 11月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      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.
    • 12月 2014
      ソース: Department of Statistics, Jordan
      アップロード者: Knoema
      以下でアクセス: 20 5月, 2019
      データセットを選択
    • 5月 2019
      ソース: Statistics Norway
      アップロード者: Knoema
      以下でアクセス: 17 5月, 2019
      データセットを選択
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • 8月 2019
      ソース: Statistics Norway
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2019
      データセットを選択
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • 7月 2019
      ソース: State Statistical Office, Republic of North Macedonia
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • 8月 2019
      ソース: State Statistical Office, Republic of North Macedonia
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2019
      データセットを選択
      Methodological explanationsSymbols used Source: State Statistical Office Year 2018 preliminary data
    • 12月 2015
      ソース: National Center for Statistics and Economic Studies, Republic of Congo
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2019
      データセットを選択
      Data cited at: https://rcongo.opendataforafrica.org/TREOC2015 This Dataset describes the list of common indicators from Trade External Data Of Congo
    • 6月 2012
      ソース: Wikipedia
      アップロード者: Carpe Facto
      データセットを選択
      Dataset with extreme temperature data across the globe.
  • F
    • 5月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • 7月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2019
      データセットを選択
      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. 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.
    • 11月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • 7月 2019
      ソース: International Federation of Association Football
      アップロード者: Knoema
      以下でアクセス: 17 8月, 2019
      データセットを選択
      Monthly updates of FIFA World Football Men's Ranking 
    • 3月 2019
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2019
      データセットを選択
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2019
      データセットを選択
      The dataset Fisheries International collaboration in technology development (bilateral) provides the number of co-inventions (simple patent families) developed jointly by at least two inventors. This indicator is disaggregated by: Country - country of residence of the inventor(s), integral counted; in cases when inventors from more than two countries collaborate, this is translated into distinct bilateral relationships between country pairs. For example, if inventors from 3 countries collaborate (e.g. USA, DEU, JPN) then a unit count is assigned to 6 country pairs (USA-DEU, USA-JPN, DEU-JPN, DEU-USA, JPN-USA, JPN-DEU); in this case a country generally coordinate the project and the others are partners. Partner – country of residence of the inventor(s) who collaborate to the patent. Technology domain – the three main areas of innovation in fisheries and aquaculture, related to technology development. In detail: 1. Harvesting technology such as more effective ways to find or harvest fish and which are typically associated with improvements in catch per unit of effort (e.g. type/size of vessels and their methods of propulsion, search technologies, method of catching or harvesting fish and bringing them on board); 2.Aquaculture technology such as methods to more effectively grow fish in captivity (innovation in feeds, improving the health of aquaculture animals, etc.); 3. New products and markets such as the development of new fish products and markets (food technologies/processing such as the development of surimi as a crabmeat substitute) and the improvement of market access (secure or enlarge markets for fish products) that provides important incentives for green growth (e.g. eco-certification with fishers adopting by-catch saving technologies or modifying fishing practices and/or territorial user rights in fisheries).
    • 3月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 13 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 3月, 2019
      データセットを選択
      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.
    • 9月 2017
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      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.
    • 9月 2017
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      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.
    • 9月 2017
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      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.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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.
    • 9月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 04 10月, 2014
      データセットを選択
      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.
    • 7月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2019
      データセットを選択
    • 7月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2019
      データセットを選択
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt.   FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated.
    • 8月 2018
      ソース: General Authority for Statistics, Kingdom of Saudi Arabia
      アップロード者: Shakthi Krishnan
      以下でアクセス: 10 9月, 2018
      データセットを選択
    • 6月 2019
      ソース: Ministry of Finance, R.O.C. (Taiwan)
      アップロード者: Knoema
      以下でアクセス: 27 6月, 2019
      データセットを選択
      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.   2019 values are year to date
    • 8月 2019
      ソース: U.S. Census Bureau
      アップロード者: Knoema
      以下でアクセス: 08 8月, 2019
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    • 5月 2018
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 23 4月, 2019
      データセットを選択
      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • 1月 2019
      ソース: German Chemicals Industry Association
      アップロード者: Knoema
      以下でアクセス: 19 2月, 2019
      データセットを選択
      Chemistry facts and figures of Foreign Trade, Germany Facts and figures for chemistry (2017), Foreign Trade
    • 7月 2019
      ソース: Kuwait Central Statistical Bureau
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2019
      データセットを選択
    • 12月 2018
      ソース: Liberia Institute of Statistics & Geo-Information Services
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2019
      データセットを選択
    • 11月 2018
      ソース: Central Bureau of Statistics, Sudan
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2019
      データセットを選択
    • 11月 2018
      ソース: Federal Competitiveness and Statistics Authority, United Arab Emirates
      アップロード者: Knoema
      以下でアクセス: 13 11月, 2018
      データセットを選択
      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2019
      データセットを選択
    • 1月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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/
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
    • 12月 2016
      ソース: Carbon Dioxide Information Analysis Center
      アップロード者: Knoema
      以下でアクセス: 17 5月, 2017
      データセットを選択
      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)
    • 4月 2019
      ソース: Fund for Peace
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2019
      データセットを選択
      Data cited at: Fragile States Index - https://fragilestatesindex.org/ 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.
    • 12月 2018
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 07 3月, 2019
      データセットを選択
      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.
    • 4月 2017
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      Variables converted from character to numeric as follow:Variables under consideration are top 3 vars i.e. Status, print and Broadcast 1 = Free (F) 2 = Partly Free (PF) 3 = Not Free (NF) Under source it values are present like: "F" , "PF" and "NF"  Note:- Date range has been considered as follow: Jan.1981-Aug.1982 is considered as 1982 Aug.1982-Nov.1983 is considered as 1983 Nov.1983-Nov.1984 is considered as 1984 Nov.1984-Nov.1985 is considered as 1985 Nov.1985-Nov.1986 is considered as 1986 Nov.1986-Nov.1987 is considered as 1987   About Freedom of the press: Freedom of the Press, an annual report on media independence around the world which assesses the degree of print, broadcast, and digital media freedom in 199 countries and territories. Published since 1980, it provides numerical scores and country narratives evaluating the legal environment for the media, political pressures that influence reporting, and economic factors that affect access to news and information. Freedom of the Press is the most comprehensive data set available on global media freedom and serves as a key resource for policymakers, international institutions, journalists, activists, and scholars worldwide.
  • G
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 14 11月, 2017
      データセットを選択
      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."
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 27 10月, 2017
      データセットを選択
      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.
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 23 11月, 2018
      データセットを選択
      The Global Burden of Disease Study 2017 (GBD 2017), 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 composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level. This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.
    • 8月 2019
      ソース: Global Database of Events, Language, and Tone
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2019
      データセットを選択
      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • 2月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 2月, 2019
      データセットを選択
    • 3月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2019
      データセットを選択
      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.
    • 2月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 27 2月, 2019
      データセットを選択
      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.
    • 10月 2015
      ソース: HelpAge International
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2015
      データセットを選択
      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.
    • 3月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 28 3月, 2018
      データセットを選択
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • 7月 2011
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2017
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • 12月 2018
      ソース: TRACE International
      アップロード者: Knoema
      以下でアクセス: 30 1月, 2019
      データセットを選択
      'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted. Anti-corruption laws enacted by a country and information about enforcement of those laws. Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants. Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains. For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
    • 3月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      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
    • 12月 2018
      ソース: Global Carbon Atlas
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2019
      データセットを選択
      Data cited at: Global Carbon Atlas - http://www.globalcarbonatlas.org/en/CO2-emissions The Global Carbon Project facilitates access to data to encourage its use and promote a good understanding of the carbon cycle. Respecting original data sources is key to help secure the support of data providers to enhance, maintain and update valuable data.  FOSSIL FUEL EMISSIONS CDIAC: Boden, TA, Andres RJ, and Marland, G 2017. Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, Tenn., USA DOI:10.3334/CDIAC/00001_V2017. Available at: http://cdiac.ess-dive.lbl.gov/trends/emis/meth_reg.html  UNFCCC, 2018. National Inventory Submissions 2018. United Nations Framework Convention on Climate Change. Available at: http://unfccc.int/process/transparency-and-reporting/reporting-and-review-under-the-convention/greenhouse-gas-inventories-annex-i-parties/national-inventory-submissions-2018, accessed June 2018.  BP, 2018. Statistical Review of World Energy. Available at: http://www.bp.com/en/global/corporate/energy-economics.html 
    • 11月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2017
      データセットを選択
      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.
    • 3月 2019
      ソース: International Telecommunication Union
      アップロード者: Shakthi Krishnan
      以下でアクセス: 18 7月, 2019
      データセットを選択
        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.
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Sivakama Sundari
      以下でアクセス: 30 11月, 2018
      データセットを選択
      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2016 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 1995–2016: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • 4月 2018
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2018
      データセットを選択
      Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 23 11月, 2018
      データセットを選択
      Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2016-2040 for 188 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 1995-2015 to forecast GDP, all-sector government spending, and health spending through 2040. Results of the study were published in The Lancet in April 2018 in "Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–2040."
    • 3月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • 3月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      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
    • 9月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Sivakama Sundari
      以下でアクセス: 05 10月, 2015
      データセットを選択
      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.
    • 11月 2018
      ソース: Emission Database for Global Atmospheric Research
      アップロード者: Knoema
      以下でアクセス: 14 2月, 2019
      データセットを選択
      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.
    • 10月 2017
      ソース: Emission Database for Global Atmospheric Research
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 10月 2018
      ソース: International Food Policy Research Institute
      アップロード者: Knoema
      以下でアクセス: 29 10月, 2018
      データセットを選択
      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
    • 11月 2018
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 17 1月, 2019
      データセットを選択
    • 7月 2019
      ソース: Global Innovation Index
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      The GII is a source of insight into the multidimensional facets of innovation-driven growth. Providing 80 detailed metrics for 129 economies in 2019, the GII has become one of the leading references for measuring an economy’s innovation performance. Moving into its 12th edition this year, the GII has evolved into a valuable benchmarking tool that can facilitate public-private dialogue and where policy-makers, business leaders, and other stakeholders can evaluate innovation progress on an annual basis.   Each year the GII presents a thematic component that tracks global innovation. In this year’s edition, it analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. 
    • 8月 2018
      ソース: Internal Displacement Monitoring Centre
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2018
      データセットを選択
      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).
    • 8月 2018
      ソース: Material Flows
      アップロード者: Knoema
      以下でアクセス: 10 5月, 2019
      データセットを選択
    • 6月 2019
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      Data cited at: Institute for Economics and Peace The Global Peace Index 2019
    • 5月 2014
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Kirill Kosenkov
      以下でアクセス: 27 8月, 2015
      データセットを選択
      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
    • 12月 2014
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2018
      データセットを選択
      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.
    • 11月 2018
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2019
      データセットを選択
      Data cited at: Institute for Economics and Peace   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.
    • 2月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 14 8月, 2019
      データセットを選択
      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)
    • 2月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 14 8月, 2019
      データセットを選択
      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.
    • 2月 2017
      ソース: National Institute of Statistics and Censuses, Costa Rica
      アップロード者: Sivakama Sundari
      以下でアクセス: 30 5月, 2017
      データセットを選択
      National Accounts of Costa Rica
    • 10月 2017
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 04 9月, 2018
      データセットを選択
    • 2月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2019
      データセットを選択
      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.
    • 7月 2018
      ソース: Bank of Korea
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2018
      データセットを選択
      Gross Domestic Product Estimates for North and South Korea, 2017. The Ratio used in this dataset represents the ratio of the same indicator for South Korea and North Korea. For example, for an indicator "Nominal GNI " , Ratio=South korea Nominal GNI/North Korea GNI.
    • 4月 2018
      ソース: Global Trade Alert
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2019
      データセットを選択
      Global Trade Alert - Trade Coverage Estimates   Data Cited at: https://www.globaltradealert.org
  • H
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 02 7月, 2019
      データセットを選択
    • 12月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 26 12月, 2018
      データセットを選択
      Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016
    • 9月 2015
      ソース: World Organisation for Animal Health
      アップロード者: Kirill Kosenkov
      以下でアクセス: 24 9月, 2015
      データセットを選択
      The World Organisation for Animal Health (OIE) data on Highly Pathogenic Avian Influenza in Animals (HPAI, informally known as bird flu). Number of outbreaks, total susceptible animals & animals destroyed and other stats by country.
    • 3月 2010
      ソース: Maddison Project
      アップロード者: Knoema
      データセットを選択
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • 2月 2016
      ソース: Statistics Mauritius
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2018
      データセットを選択
      Data cited at: https://mauritius.opendataforafrica.org/HDIM2016
    • 8月 2018
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 20 12月, 2018
      データセットを選択
      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.
    • 8月 2019
      ソース: Financial Tracking Service
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2019
      データセットを選択
      Data cited at: Financial Tracking Service
  • I
    • 2月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      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.
    • 2月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      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.
    • 12月 2010
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2013
      データセットを選択
      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.
    • 9月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      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.
    • 7月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2017
      データセットを選択
      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.
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 03 12月, 2018
      データセットを選択
      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.
    • 3月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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.
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 03 12月, 2018
      データセットを選択
      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.
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 03 12月, 2018
      データセットを選択
      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.
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 03 12月, 2018
      データセットを選択
      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.
    • 3月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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.
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 12月, 2018
      データセットを選択
      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).
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 03 12月, 2018
      データセットを選択
      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.
    • 7月 2015
      ソース: National Institute of Statistics, Honduras
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2016
      データセットを選択
    • 7月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 04 8月, 2014
      データセットを選択
      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.
    • 9月 2017
      ソース: National Institute of Statistics, Republic of Guinea
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2018
      データセットを選択
      Data cited at: https://guinea.opendataforafrica.org/kruwzwd Imports of products by zone and country of origin, 2011 - 2012
    • 2月 2019
      ソース: National Statistical Office of Mongolia
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2019
      データセットを選択
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2019
      データセットを選択
      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.
    • 12月 2016
      ソース: U.S. Patent and Trademark Office
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2017
      データセットを選択
      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.
    • 3月 2019
      ソース: Global Trade Alert
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2019
      データセットを選択
      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”   Data Cited at: https://www.globaltradealert.org
    • 2月 2019
      ソース: Heritage Foundation
      アップロード者: Knoema
      以下でアクセス: 04 2月, 2019
      データセットを選択
      Data cited at: Heritage Foundation   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
    • 1月 2019
      ソース: Coffee Board of India
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
    • 4月 2019
      ソース: Ministry of Finance, India
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2019
      データセットを選択
      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, 2018-19
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 2月 2019
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2019
      データセットを選択
      Data source(s) used: Vital statistics on causes of death: The Vital statistics system on causes of death is the main source for the evaluation of the health status of the population, and for the health programs and resources allocation. Data on causes of all deaths occurring in Italy during a calendar year are collected by the death certificates Istat/D.4 and D.4 bis. The physician must fill the health section of the certificate (part A) and the civil status officer of the appurtenant municipality must fill the demographic section of the certificate (part B).
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2019
      データセットを選択
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2019
      データセットを選択
      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).
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
    • 10月 2010
      ソース: Japan Apparel Technology and Research Association
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2016
      データセットを選択
      The Japan Apparel Industrial Association
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 10月 2018
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      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.
    • 8月 2019
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2019
      データセットを選択
    • 12月 2018
      ソース: International Federation of Association Football
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2019
      データセットを選択
      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.
    • 7月 2017
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2018
      データセットを選択
      This dataset is the basis for the International Food Security Assessment, 2017-27 released in July 2017. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
    • 12月 2017
      ソース: Gambia Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2019
      データセットを選択
      International Merchandise Trade Statistics
    • 12月 2017
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 06 2月, 2018
      データセットを選択
      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.
    • 1月 2018
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
    • 6月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 21 6月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: State Statistical Office, Republic of North Macedonia
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2019
      データセットを選択
      _________ _______source State Statistical Office State Statistical Office
    • 8月 2015
      ソース: State Statistical Office, Republic of North Macedonia
      アップロード者: Knoema
      以下でアクセス: 02 3月, 2019
      データセットを選択
      Symbols used Source: State Statistical Office country Serbia * Montenegro *
    • 12月 2016
      ソース: Federal Communications Commission
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2017
      データセットを選択
    • 8月 2019
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 11 8月, 2019
      データセットを選択
      International trade in services, quarterly by imports and exports, country and time
    • 10月 2018
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2019
      データセットを選択
    • 10月 2016
      ソース: Statistics Netherlands
      アップロード者: Knoema
      以下でアクセス: 06 10月, 2018
      データセットを選択
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; Imports and exports of services by country, 2003-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80414ENG&_theme=1118 License: http://creativecommons.org/licenses/by/4.0/  This table contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures. Data available from 2003 to 2013. Status of the figures: The figures are definite. Changes as of 8 October 2014: None, this table has been discontinued. When will new figures be published? No longer applicable.
    • 10月 2015
      ソース: Water FootPrint Network
      アップロード者: Knoema
      以下でアクセス: 27 10月, 2015
      データセットを選択
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: International virtual water flow statistics  Publication: https://waterfootprint.org/en/resources/waterstat/international-virtual-water-flow-statistics/ Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) The water footprint of humanity, Proceedings of the National Academy of Sciences, 109(9): 3232–3237 License: https://creativecommons.org/licenses/by-sa/3.0/
    • 12月 2012
      ソース: Internet World Stats
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2013
      データセットを選択
      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.
    • 2月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2018
      データセットを選択
      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.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2019
      データセットを選択
    • 7月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 04 8月, 2014
      データセットを選択
      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
    • 2月 2010
      ソース: Japan Apparel Technology and Research Association
      アップロード者: Knoema
      以下でアクセス: 25 8月, 2016
      データセットを選択
      The Japan Apparel Industrial Association
    • 5月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 6月, 2019
      データセットを選択
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • L
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2019
      データセットを選択
      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. 
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2019
      データセットを選択
      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. 
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2019
      データセットを選択
    • 7月 2019
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2019
      データセットを選択
      Data cited at : https://www.bis.org/statistics/index.htm   Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
  • M
    • 5月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 27 6月, 2019
      データセットを選択
      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.
    • 6月 2018
      ソース: Center for Systemic Peace
      アップロード者: Knoema
      以下でアクセス: 25 10月, 2018
      データセットを選択
      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)
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 23 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      The data presented come from two international sources: (1) UN and International Resource Panel "Global Material Flows Database" for non-EU OECD and non-OECD countries, and (2) Eurostat  "Material Flows and Resource Productivity" database for EU OECD countries. It should be born in mind that the data should be interpreted with caution and that the time series presented here may change in future as work on methodologies for MF accounting progresses. Furthermore, data contain rough estimates for OECD and BRIICS aggregates. These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers. The use of materials in production and consumption processes has many economic, social and environmental consequences. These consequences often extend beyond the borders of countries or regions, notably when materials are traded internationally, either in the form of raw materials or as products embodying them. They differ among the various materials and among the various stages of the resource life cycle (extraction, processing, use, transport, end-of-life management). From an environmental point of view these consequences depend on:the rate of extraction and depletion of renewable and non-renewable resource stocksthe extent of harvest and the reproductive capacity and natural productivity of renewable resourcesthe associated environmental burden (e.g. pollution, waste, habitat disruption), and its effects on environmental quality (e.g. air, water, soil, biodiversity, landscape) and on related environmental services These data inform about physical flows of material resources at various levels of detail and at various stages of the flow chain. The information shows: a) the material basis of economies and its composition by major material groups, considering:the extraction of raw materials;the trade balance in physical terms;the consumption of materials;the material inputs b) the consumption of selected materials that are of environmental and economic significance. c) in-use stocks of selected products that are of environmental and economic significance. Domestic extraction used (DEU) refers to the flows of raw materials extracted or harvested from the environment and that physically enter the economic system for further processing or direct consumption (they are used by the economy as material factor inputs). Imports (IMP) and exports (EXP) are major components of the direct material flow indicators DMI (domestic material input) and DMC (domestic material consumption). They cannot be taken as indication of domestic resource requirements. Domestic material consumption (DMC) refers to the amount of materials directly used in an economy, which refers to the apparent consumption of materials. DMC is computed as DEU minus exports plus imports. Direct material input (DMI) is computed as DEU plus imports. The material groups are: Food: food crops (e.g. cereals, roots, sugar and oil bearing crops, fruits, vegetables), fodder crops (including grazing), wild animals (essentially marine catches), small amounts of non-edible biomass (e.g. fibres, rubber), and related products including livestock. Wood: harvested wood and traded products essentially made of wood (paper, furniture, etc.). Construction minerals: non-metallic construction minerals whether primary or processed. They comprise marble, granite, sandstone, porphyry, basalt, other ornamental or building stone (excluding slate); chalk and dolomite; sand and gravel; clays and kaolin; limestone and gypsum. Industrial minerals: non-metallic industrial minerals whether primary or processed (e.g. salts, arsenic, potash, phosphate rocks, sulphates, asbestos). Metals: metal ores, metals and products mainly made of metals. Fossil energy materials/carriers: coal, crude oil, natural gas and peat, as well as manufactured products predominantly made of fossil fuels (e.g. plastics, synthetic rubber).
    • 8月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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.
    • 12月 2015
      ソース: World Bank
      アップロード者: Mikhail Zhukovskii
      以下でアクセス: 08 12月, 2015
      データセットを選択
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2019
      データセットを選択
      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. 
    • 8月 2019
      ソース: General Authority for Statistics, Kingdom of Saudi Arabia
      アップロード者: Knoema
      以下でアクセス: 07 8月, 2019
      データセットを選択
    • 6月 2019
      ソース: United Nations COMTRADE
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2019
      データセットを選択
    • 1月 2015
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 23 4月, 2015
      データセットを選択
      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.
    • 2月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2019
      データセットを選択
      Merchandise: Trade value, volume, unit value, terms of trade indices and purchasing power index of exportsThis dataset contains export and import volume indices, rounding out trade value. Export and import unit value indices, derived terms of trade and purchasing power of exports indices are also provided in various base and reference years (2000, 2010 and 2015).The value index is the current value of exports (FOB) or imports (CIF) converted to United States dollars and expressed in percentage. The volume index is derived as the percentage ratio of the export or import value index to the corresponding unit value index (value index / unit value index *100) unless otherwise noted at country level.The weights used for the calculation of the indices correspond to base year 2000. For convenience, and to facilitate international comparisons, the series have been rescaled to new references 2010=100 and 2015=100.
    • 10月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 26 10月, 2018
      データセットを選択
      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.
    • 10月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 30 10月, 2018
      データセットを選択
    • 10月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 26 10月, 2018
      データセットを選択
      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.
    • 10月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 04 12月, 2018
      データセットを選択
      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.
    • 4月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2019
      データセットを選択
      This dataset shows the value of total merchandise exports and imports, expressed in millions of United States dollars and percentages of the world total
    • 7月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 31 1月, 2019
      データセットを選択
      The dataset provides information on the ownership of the merchant fleet for all countries. "Ownership” refers to “Beneficial Ownership Location”: it indicates the economy in which the company that has the main commercial responsibility for the vessel is located. The economy of beneficial ownership may be different from the country in which the vessel is registered.
    • 6月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2018
      データセットを選択
      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).
    • 1月 2015
      ソース: Right Diagnosis
      アップロード者: Knoema
      以下でアクセス: 04 2月, 2016
      データセットを選択
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2019
      データセットを選択
      Migrants comprise individuals who changed their country of usual residence. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • 2月 2019
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2019
      データセットを選択
      Data source(s) used: Persons registered in and cancelled from the population register due to change of residence:The English description of the source is not available at this time, for methodological details go to the Siqual system
    • 6月 2018
      ソース: Statistics Netherlands
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2018
      データセットを選択
      Immigration and emigration in the Netherlands and the administrative corrections by country of birth, sex, age and marital status. Data available from: 1995 Status of the figures: All data recorded in this publication are final data. Changes as from 18 June 2018: The final figures of 2017 have been added. Changes as from 26 April 2018: The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have been adjusted. The age classification has been simplified: the five-year groups have been removed. This makes the table better suited for the interface of the new StatLine. If you are missing these figures, please contact Infoservice (see section 5). When will new figures be published? The final figures of 2018 will be added in the second quarter of 2019 in this publication.
    • 3月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
    • 8月 2018
      ソース: U.S. Geological Survey
      アップロード者: Sivakama Sundari
      以下でアクセス: 07 8月, 2018
      データセットを選択
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 11 12月, 2018
      データセットを選択
      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.
    • 2月 2016
      ソース: Pew Research Center
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2016
      データセットを選択
      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • 12月 2018
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2019
      データセットを選択
      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • 2月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2019
      データセットを選択
      National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
    • 10月 2015
      ソース: Water FootPrint Network
      アップロード者: Knoema
      以下でアクセス: 26 10月, 2015
      データセットを選択
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: National water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/national-water-footprint-statistics/ 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. License: https://creativecommons.org/licenses/by-sa/3.0/
    • 1月 2013
      ソース: Maddison Project
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2015
      データセットを選択
      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.
    • 12月 2015
      ソース: United Nations COMTRADE
      アップロード者: Kirill Kosenkov
      以下でアクセス: 09 1月, 2016
      データセットを選択
      Nigeria imports and exports by commodity and partner country. HS1992 Classification, 2-digits and 4-digits commodities.
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
    • 7月 2019
      ソース: Statistics Canada
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2019
      データセットを選択
    • 2月 2019
      ソース: The National Committee on North Korea
      アップロード者: Sivakama Sundari
      以下でアクセス: 12 8月, 2019
      データセットを選択
    • 4月 2018
      ソース: Statistics Norway
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2019
      データセットを選択
      Major change in coverage in 2011. Consult About the statistics Only vessels at or above 1 000 gross tonnage. No fishing vessels.
    • 9月 2017
      ソース: Comprehensive Nuclear-Test-Ban Treaty
      アップロード者: Polina Alova
      以下でアクセス: 27 9月, 2017
      データセットを選択
      A numeric breakdown of the number of atmospheric and underground nuclear tests conducted by each testing country for each year from 1945 to 2017.
  • O
    • 11月 2018
      ソース: Ocean Health Index
      アップロード者: Shakthi Krishnan
      以下でアクセス: 23 11月, 2018
      データセットを選択
      Ocean Health Index
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2019
      データセットを選択
    • 10月 2013
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 29 10月, 2013
      データセットを選択
      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.
    • 2月 2018
      ソース: Wikipedia
      アップロード者: Knoema
      以下でアクセス: 28 2月, 2018
      データセットを選択
      Data cited at: Wikipedia https://en.wikipedia.org Topic: Olympic medal table Publication URL: https://en.wikipedia.org/wiki/Olympic_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • 2月 2018
      ソース: Wikipedia
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2018
      データセットを選択
      Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • 2月 2018
      ソース: Wikipedia
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2018
      データセットを選択
      Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • 11月 2018
      ソース: National Centre for Statistics and Information, Oman
      アップロード者: Knoema
      以下でアクセス: 09 11月, 2018
      データセットを選択
      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.
    • 5月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 29 5月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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
    • 12月 2018
      ソース: Passport Index
      アップロード者: Knoema
      以下でアクセス: 17 12月, 2018
      データセットを選択
      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.
    • 12月 2018
      ソース: World Intellectual Property Organization
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2018
      データセットを選択
      Data cited at: "WIPO statistics database" which is made available under a BY 3.0 IGO License   Total Patent Applications Total Count by Applicant's Origin Zaire, officially the Republic of Zaire, was the name of Democratic Republic of the Congo between 1971 and 1997.
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2019
      データセットを選択
      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.
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2019
      データセットを選択
      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.
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2019
      データセットを選択
      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.
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2019
      データセットを選択
      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.
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      Description not available
    • 3月 2019
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2019
      データセットを選択
      Data source(s) used: Persons convicted for crime with irrevocable judgement: Survey on convicted persons for felony and misdemeanor with irrevocable judgement, type of crimes and misdemeanors committed, main features of the convicted persons and of the sentence. Other data characteristics: The number of persons convicted by type of crime is calculated on the most serious crime committed. The number of convicted persons by final judgement and the number of crimes is available with reference to two types of classifications. An analytical classification including about 470 items of crime, and a synthetic one, where the individual items are hierarchically grouped in 130 items broadly reflecting the Titles, Books and Sections of the Italian Penal Code. The complementary legislation is organized grouping the type of crimes by subject. The analytical classification of the types of crimes committed is given only in Italian language, as many crimes present in the Italian legislation do not have an exact match in the laws of other Countries. The literal translation of this classification is not available because the meaning of the legal terms translated into English could lead to misleading interpretations. An international classification is not available yet. "Number of concurrent crimes" means the total number of crimes committed by the convicted person. "1" means that the offender committed only one kind of crime. "2", "3", "4 and over" mean that, in addition to the most serious crime evident in the table, the offender committed other crimes.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2019
      データセットを選択
      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. 
    • 8月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      Resource Statistics - Pesticides Trade
    • 6月 2019
      ソース: ICC International Maritime Bureau
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2019
      データセットを選択
      Piracy and Armed Robbery against Ships
    • 3月 2019
      ソース: Ministry of Unification, Republic of Korea
      アップロード者: Sivakama Sundari
      以下でアクセス: 22 7月, 2019
      データセットを選択
    • 12月 2018
      ソース: Political Terror Scale
      アップロード者: Knoema
      以下でアクセス: 30 1月, 2019
      データセットを選択
      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.
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2019
      データセットを選択
      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.
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2019
      データセットを選択
      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.
    • 2月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2019
      データセットを選択
      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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2015
      データセットを選択
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.
    • 5月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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/
    • 5月 2015
      ソース: Earth Policy Institute
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2015
      データセットを選択
      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).
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Private transactions are those undertaken by firms and individuals resident in the reporting country.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Description not available
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset presents activities in support of development from philanthropic foundations since 2009, including bilateral activities and core contributions to multilateral organisations. Bilateral activities from this dataset can also be found in the Creditor Reporting System (CRS) database. Collecting data on private philanthropy for development is work in progress, which may explain break in series for some foundations.
    • 1月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 25 1月, 2019
      データセットを選択
      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
    • 2月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2019
      データセットを選択
      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare  
    • 8月 2019
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 19 8月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Description not available
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      Description not available
  • Q
    • 1月 2019
      ソース: Quality of Government Institute
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2019
      データセットを選択
      Data cited at: The Quality of Government Institute; Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Richard Svensson. 2018. The Quality of Government Standard Dataset, version Jan18. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGStdJan18   In the QoG Standard TS dataset, data from 1946 to 2018 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).    
    • 12月 2013
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 03 10月, 2017
      データセットを選択
      Quantity Reporting: Measure food aid deliveries in metric tons
  • R
    • 5月 2017
      ソース: Refugee Processing Center (RPC)
      アップロード者: Knoema
      以下でアクセス: 23 5月, 2017
      データセットを選択
      FY - Fiscal Years have been used (since October until September). Data for 2017 include the last available values.  The Refugee Processing Center (RPC) is operated by the U.S Department of State (DOS) Bureau of Population, Refugees, and Migration (PRM) in the Rosslyn section of Arlington, Virginia USA.  At the RPC and at Resettlement Support Centers (RSCs), an interactive computer system called the Worldwide Refugee Admissions Processing System (WRAPS) is used to process and track the movement of refugees from various countries around the world to the U.S. for resettlement under the U.S. Refugee Admissions Program (USRAP).
    • 8月 2019
      ソース: ClinicalTrials.gov
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2019
      データセットを選択
      Registered studies by ClinicalTrials.gov, As of August 21, 2019
    • 8月 2012
      ソース: Multiple Sources
      アップロード者: Carpe Facto
      データセットを選択
      Spread of religions across the World, by country
    • 10月 2018
      ソース: International Renewable Energy Agency
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2019
      データセットを選択
      World : Renewable Electricity Capacity and Generation Statistics
    • 7月 2019
      ソース: International Renewable Energy Agency
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2019
      データセットを選択
      The International Renewable Energy Agency (IRENA) produces comprehensive, reliable data on renewable energy capacity and use worldwide. Renewable Energy Statistics 2019 provides data sets on power-generation capacity for 2009-2018, actual power generation for 2009-2017 and renewable energy balances for over 130 countries and areas for 2016-2017.
    • 8月 2019
      ソース: Reserve Bank of Australia
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Reserve Bank of Australia Assets and Liabilities
    • 8月 2019
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2019
      データセットを選択
      Data source(s) used: Migration and calculation of foreign resident population and structure by citizenship The survey allows the calculation of the demographic balance of the foreign resident population and gives the amount of foreign residents for each year. Foreign resident population is represented by individuals who do not have Italian citizenship having usual residence in Italy. It is calculated for each municipality on December 31st of each year that follows the population Census, adding to the foreign population enumerated by the census the foreign population inflows and outflows recorded during each calendar year Other data characteristics: Data subject to change for reconstruction after the last Population census
    • 9月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2018
      データセットを選択
      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.
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      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
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      ILO modelled estimates. The labour income share in GDP is the ratio, in percentage, between total labour income and gross domestic product (a measure of total output), both provided in nominal terms. Labour income includes the compensation of employees and part of the income of the self-employed. Self-employed workers earn from both their work and capital ownership. Total compensation of employees refers to the 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. The labour income of self-employed is imputed on the basis of a statistical analysis of employees of similar characteristics. The labour income share after accounting for the labour income of the self-employed is often referred to as the adjusted labour income share in GDP. For more information, refer to the general methodological note. For full metadata please download the data from the bulk download site.  For further information, see the SDG Indicators Metadata Repository.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      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.
    • 8月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2018
      データセットを選択
      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • 5月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • 9月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 12 9月, 2018
      データセットを選択
      Description not available
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      Description not available
    • 9月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2018
      データセットを選択
      Description not available
    • 5月 2019
      ソース: Stockholm International Peace Research Institute
      アップロード者: Knoema
      以下でアクセス: 14 5月, 2019
      データセットを選択
      'Information from the Stockholm International Peace Research Institute (SIPRI), https://www.sipri.org/databases/milex'   The SIPRI Military Expenditure Database contains consistent time series on the military spending of countries for the period 1949–2018. 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 (2017) 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.
    • 6月 2014
      ソース: Scimago Lab
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2014
      データセットを選択
      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).
    • 8月 2018
      ソース: Social Progress Imperative
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2018
      データセットを選択
      Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • 3月 2019
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 26 3月, 2019
      データセットを選択
      World: Soybean Area, Yield and Production
    • 8月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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.
    • 11月 2018
      ソース: World Steel Association
      アップロード者: Knoema
      以下でアクセス: 24 12月, 2018
      データセットを選択
      World steel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from 2008 to 2017 on crude steel production by country and process, steel production by product, steel trade by product, apparent steel use and apparent steel use per capita by country, as well as production and trade of pig iron and directly reduced iron. It also includes data on production and trade of iron ore and trade of scrap. of steel and true steel use. The statistics were collected from members of world steel and various international organisations.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      Excess capacity is one of the main challenges facing the global steel sector. The OECD Steelmaking Capacity database contains data on crude steelmaking capacity by economy and provides researchers and policymakers with an important tool for analysing steel capacity developments.
    • 2月 2015
      ソース: World Life Expectancy
      アップロード者: Knoema
      以下でアクセス: 07 5月, 2015
      データセットを選択
    • 4月 2018
      ソース: U.S. Agency for International Development
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2018
      データセットを選択
      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.
    • 4月 2018
      ソース: U.S. Agency for International Development
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2018
      データセットを選択
      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.
    • 4月 2018
      ソース: U.S. Agency for International Development
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2018
      データセットを選択
      These tables offer a summary of obligations and disbursements in current and constant dollars by country from 1946 to the most recent year.
    • 4月 2018
      ソース: U.S. Agency for International Development
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2018
      データセットを選択
      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.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 5月 2018
      ソース: Suriname Tourism Foundation
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2018
      データセットを選択
      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.
    • 6月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Sivakama Sundari
      以下でアクセス: 29 7月, 2019
      データセットを選択
    • 6月 2019
      ソース: Sustainable Development Solutions Network
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2018
      データセットを選択
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2017. 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 2017, this dataset provides estimates on progress for 41 health-related SDG indicators for 195 countries and territories from 1990 to 2017, and projections, based on past trends, for 2018 to 2030. Estimates are also included for the health-related SDG index, a summary measure of overall performance across the health-related SDGs.
    • 11月 2018
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 10 12月, 2018
      データセットを選択
      The Sustainable Development Goals Report 2018 reviews progress in the third year of implementation of the 2030 Agenda presenting an overview with charts and info-graphics of highlights of the 17 Goals, followed by chapters that focus in more depth on the Goals under review at the high-level political forum in July 2018. This report follows the recently published report of the United Nations Secretary-General on "Progress towards the Sustainable Development Goals" (E/2018/64), both of which are based on the global indicator framework developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed by the General Assembly in July 2017 in resolution 71/313. The launch of The Sustainable Development Goals Report 2018 is accompanied by the Global SDG Indicators Database, which presents country level data and global and regional aggregates compiled through the UN System and other international organizations.
  • T
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2019
      データセットを選択
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2019
      データセットを選択
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Tajikistan Data source: 2000, 2010 - population and housing census; 2011-2014 - source unspecified. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2019
      データセットを選択
      The total for ''All countries'' includes persons for whom the country of previous residence is unknown.UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia In 2001 and 2011 the registered data refer to the date of conducting the Population Census and the number exceeds the total foreign population living in Armenia. Data from 2014 onwards are based on administrative sources. Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: 2009 - population and housing census; 2010 and onwards - residence permits. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. In 2011 and 2012, the full break down by age and sex is not available for some countries of previous residence. The total flow from each country of previous residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine 2001 data include all those who have ever moved. Data source: 2001 - population and housing census; 2011, 2012 - residence permits. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2019
      データセットを選択
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. The total for ''All countries'' includes persons for whom the country of next residence is unknown. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: exit permits. Country: Kyrgyzstan For a number of persons the information on the country of next residence is missing in the source. Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. In 2011 and 2012, the full break down by age and sex is not available for some countries of next residence. The total flow from each country of next residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine Data source: administrative source. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2019
      データセットを選択
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained a permanent residence permit in Azerbaijan. Azer citizens returning from abroad are not included in the total number. Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. Data source: administrative source. Country: Ukraine Data source: 2001 - population and housing census; 2011, 2012 - residence permits.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2019
      データセットを選択
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained an exit permit in Azerbaijan. Azer citizens are not included in the total number. Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. Data source: administrative source. Country: Ukraine Data source: administrative source.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2019
      データセットを選択
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: administrative source. Country: Georgia Data source: civil register. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation Data source: administrative source. Country: Ukraine Data source: administrative source.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2019
      データセットを選択
      The UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA), established with the purpose of improving the understanding of migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Moldova, Republic of Data source: population register. Country: Tajikistan Disaggregation by sex is only available for people who immigrated for work purposes. Data source: work permits.
    • 11月 2015
      ソース: Save the Children Federation
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2015
      データセットを選択
    • 6月 2018
      ソース: Walk Free Foundation
      アップロード者: Knoema
      以下でアクセス: 23 7月, 2018
      データセットを選択
      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
    • 3月 2013
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 03 3月, 2014
      データセットを選択
      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.
    • 6月 2018
      ソース: World Inequality Database
      アップロード者: Knoema
      以下でアクセス: 08 6月, 2018
      データセットを選択
      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).
    • 12月 2015
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 19 8月, 2017
      データセットを選択
      Data cited at: United Nations Statistics Division https://unstats.un.org/home/ Publication: https://unstats.un.org/unsd/gender/worldswomen.html License: https://creativecommons.org/licenses/by-nc/4.0/   The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
    • 2月 2019
      ソース: World Integrated Trade Solution
      アップロード者: Knoema
      以下でアクセス: 07 3月, 2019
      データセットを選択
      This dataset provides trade and tariff data for countries where the reporter is "World".
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Description not available
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      Description not available
    • 10月 2014
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 03 11月, 2014
      データセットを選択
      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.
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 26 9月, 2018
      データセットを選択
      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.
    • 5月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2019
      データセットを選択
      Total Official Flows: the sum of Official Development Assistance (ODA) and Other Official Flows (OOF) represents the total (gross or net) disbursements by the official sector at large to the recipient country shown.
    • 5月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2019
      データセットを選択
      Total Receipts, Net: in addition to Official Development Assistance, this heading includes in particular: other official bilateral transactions which are not concessional or which, even though they have concessional elements, are primarily trade facilitating in character (i.e., "Other Official Flows''); changes in bilateral long-term assets of the private non-monetary and monetary sectors, in particular guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks. Flows from the multilateral sector which are not classified as concessional are also included here.
    • 9月 2018
      ソース: National Bureau of Statistics of the Republic of Moldova
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2018
      データセットを選択
      Source: National Bureau of Statistics of the Republic of Moldova http://www.statistica.md/index.php?l=en Topic: Statbank, Regional statistics Publication: http://statbank.statistica.md/pxweb/pxweb/en/60%20Statistica%20regionala/60%20Statistica%20regionala__19%20TRA/?rxid=5360837a-13b5-4912-a2e0-12892e96d2ab License: http://creativecommons.org/licenses/by/4.0/   Tourism & Transport Statistics of Moldova, 2015
    • 7月 2019
      ソース: Statistics Botswana
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2019
      データセットを選択
      Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana
    • 10月 2018
      ソース: National Statistics Bureau, Bhutan
      アップロード者: Knoema
      以下でアクセス: 20 12月, 2018
      データセットを選択
    • 6月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2019
      データセットを選択
    • 1月 2016
      ソース: National Institute of Statistics, Madagascar
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2019
      データセットを選択
      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
    • 6月 2019
      ソース: Stockholm International Peace Research Institute
      アップロード者: Olga Bikeeva
      以下でアクセス: 19 6月, 2019
      データセットを選択
      Data cited at: 'Information from the Stockholm International Peace Research Institute (SIPRI), https://www.sipri.org/media/press-release/2018/modernization-nuclear-weapons-continues-number-peacekeepers-declines-new-sipri-yearbook-out-now'   SIPRI-World nuclear forces, January 2019 IPRISIPRI’s annual nuclear forces data shows that while the overall number of nuclear weapons in the world continues to decline, all of the nuclear weapon-possessing states are maintaining and modernizing their nuclear arsenals. At the start of 2018 nine states—the United States, Russia, the United Kingdom, France, China, India, Pakistan, Israel and the Democratic People’s Republic of Korea (North Korea)—possessed approximately 14 465 nuclear weapons.
  • U
    • 6月 2019
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2019
      データセットを選択
      U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2017
    • 8月 2019
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2019
      データセットを選択
      Data updates are released on Thursday and Sunday.
    • 1月 2018
      ソース: National Science Foundation
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2018
      データセットを選択
      Courtesy of the National Science Foundation
    • 4月 2019
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2019
      データセットを選択
      This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance 6. U.S. wheat exports by selected destinations (1,000 metric tons) Reference Market year (start from Jun-May) Q 1 in Market year: Jun-August Q 2 in Market year: Sep-Nov Q 3 in Market year: Dec-Feb Q 4 in Market year: March-May
    • 7月 2018
      ソース: United Nations Public Administration Country Studies
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2018
      データセットを選択
      Data cited at: UN E-Government Knowledgebase - https://publicadministration.un.org/egovkb/en-us/ 1. The EGDI is based on a comprehensive Survey of the online presence of all 193 United Nations Member States, which assesses national websites and how e-government policies and strategies are applied in general and in specific sectors for delivery of essential services. The assessment rates the e-government performance of countries relative to one another as opposed to being an absolute measurement. The results are tabulated and combined with a set of indicators embodying a country’s capacity to participate in the information society, without which e-government development efforts are of limited immediate use. Although the basic model has remained consistent, the precise meaning of these values varies from one edition of the Survey to the next as understanding of the potential of e-government changes and the underlying technology evolves. This is an important distinction because it also implies that it is a comparative framework that seeks to encompass various approaches that may evolve over time instead of advocating a linear path with an absolute goal. 2. E-Government Development Index-EGDI Very High-EGDI (Greater than 0.75) High-EGDI (Between 0.50 and 0.75) Middle-EGDI (Between 0.25 and 0.50) Low-EGDI (Less than 0.25)
    • 5月 2019
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 30 5月, 2019
      データセットを選択
      The United Nations Industrial Commodity Statistics Database provides annual statistics on the production of major industrial commodities by country. Data are provided in terms of physical quantities as well as monetary value. The online database covers the years 1995 to 2013. Additional historical data is available on request, based on a different product list, for the years 1950-2003.
    • 6月 2019
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 11 6月, 2019
      データセットを選択
      The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary; conventional and non-conventional; and new and renewable sources of energy. The Energy Statistics dataset, covering the period from 1990 onwards, is available at UNdata
    • 12月 2015
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 15 9月, 2017
      データセットを選択
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2019
      データセットを選択
      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • 7月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 01 8月, 2019
      データセットを選択
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • 6月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • 6月 2015
      ソース: United Nations Environment Programme
      アップロード者: Pallavi S
      以下でアクセス: 30 6月, 2016
      データセットを選択
      The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.
    • 9月 2018
      ソース: United Nations Environment Programme
      アップロード者: Knoema
      以下でアクセス: 22 10月, 2018
      データセットを選択
    • 2月 2018
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2018
      データセットを選択
      The UNESCO Institute for Statistics (UIS) is the statistical office of UNESCO and is the UN depository for global statistics in the fields of education, science and technology, culture and communication. The UIS was established in 1999. It was created to improve UNESCO’s statistical programme and to develop and deliver the timely, accurate and policy-relevant statistics needed in today’s increasingly complex and rapidly changing social, political and economic environments. The UIS is based in Montreal, Canada. The dataset contains over 1,000 types of indicators and raw data on education, literacy, science and technology, culture and communication. The UIS collects the data for more than 200 countries and territories from Member States and international organizations.
    • 6月 2018
      ソース: United Nations High Commissioner for Refugees
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2018
      データセットを選択
      Note:  In the 2017 data, figures between 1 and 4 represent situations where the figures are being kept confidential to protect the anonymity of individuals. Such figures are not included in any totals. The UNHCR Population Statistics Database currently contains data about UNHCR's populations of concern from the year 1959 up to 2017. UNHCR identifies seven population categories, collectively referred to as ‘persons of concern’: refugees, asylum-seekers, internally displaced persons (IDPs), refugees who have returned home (returnees), IDPs who have returned home, persons under UNHCR’s statelessness mandate, and others who do not fall under these categories but to whom the agency extends protection. Since 2007, two additional sub-categories have been added: individuals in refugee-like situations (included under refugees) and those in IDP-like situations (included under IDPs). Refugees include individuals recognised under the 1951 Convention relating to the Status of Refugees; its 1967 Protocol; the 1969 OAU Convention Governing the Specific Aspects of Refugee Problems in Africa; those recognised in accordance with the UNHCR Statute; individuals granted complementary forms of protection; or those enjoying temporary protection. Since 2007, the refugee population also includes people in a refugee-like situation. Asylum-seekers are individuals who have sought international protection and whose claims for refugee status have not yet been determined, irrespective of when they may have been lodged. Internally displaced persons (IDPs) are people or groups of individuals who have been forced to leave their homes or places of habitual residence, in particular as a result of, or in order to avoid the effects of armed conflict, situations of generalised violence, violations of human rights, or natural or man-made disasters, and who have not crossed an international border. For the purposes of UNHCR's statistics, this population only includes conflict-generated IDPs to whom the Office extends protection and/or assistance. Since 2007, the IDP population also includes people in an IDP-like situation. Returned refugees are former refugees who have returned to their country of origin spontaneously or in an organised fashion but are yet to be fully integrated. Such return would normally only take place in conditions of safety and dignity. Returned IDPs refer to those IDPs who were beneficiaries of UNHCR's protection and assistance activities and who returned to their areas of origin or habitual residence during the year. Stateless persons are defined under international law as persons who are not considered as nationals by any State under the operation of its law. In other words, they do not possess the nationality of any State. UNHCR statistics refer to persons who fall under the agency’s statelessness mandate because they are stateless according to this international definition, but data from some countries may also include persons with undetermined nationality. Others of concern refers to individuals who do not necessarily fall directly into any of the groups above, but to whom UNHCR extends its protection and/or assistance services, based on humanitarian or other special grounds.
    • 2月 2017
      ソース: United Nations Children's Fund
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2017
      データセットを選択
      Maternal mortality refers to deaths due to complications from pregnancy or childbirth. From 1990 to 2015, the global maternal mortality ratio declined by 44 per cent – from 385 deaths to 216 deaths per 100,000 live births, according to UN inter-agency estimates. This translates into an average annual rate of reduction of 2.3 per cent. While impressive, this is less than half the 5.5 per cent annual rate needed to achieve the three-quarters reduction in maternal mortality targeted for 2015 in Millennium Development Goal 5. Every region has advanced, although levels of maternal mortality remain unacceptably high in sub-Saharan Africa. Almost all maternal deaths can be prevented, as evidenced by the huge disparities found between the richest and poorest countries. The lifetime risk of maternal death in high-income countries is 1 in 3,300, compared to 1 in 41 in low-income.
    • 7月 2017
      ソース: United Nations Children's Fund
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2017
      データセットを選択
      According to UNICEF report, in 2015, seven out of ten people used a safely managed drinking water service. Universal access to safe drinking water is a fundamental need and human right. Securing access for all would go a long way in reducing illness and death, especially among children. Since 2000, 1.4 billion people have gained access to basic drinking water services, such as piped water into the home or a protected dug well. In 2015, 844 million people still lack a basic water service and among them almost 159 million people still collected drinking water directly from rivers, lakes and other surface water sources. The data reveal pronounced disparities, with the poorest and those living in rural areas least likely to use a basic service. “Safely managed” water services represent an ambitious new rung on the ladder used to track progress on drinking water. In 2015, 5.2 billion people used safely managed services, i.e. accessible on premises, available when needed and free from contamination. A further 1.3 billion used a ‘basic’ water service, i.e. improved sources within 30 minutes per round trip to collect water. Over a quarter of a billion (258 million) used a ‘limited’ service where water collection from an improved source exceeded 30 minutes. In most countries the burden of water collection continues to fall mainly to women and girls.
    • 10月 2018
      ソース: United Nations Children's Fund
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2018
      データセットを選択
      Millions of children are not protected against Violence, Child labor, Trafficking, Sexual exploitation, Female genital mutilation/cutting, Child marriage and worldwide they experience the worst kinds of rights violations. Millions more children, not yet victims, are inadequately protected against them. UNICEF uses the term ‘Child Protection’ to refer to prevention and response to violence, exploitation and abuse of children in all contexts. This includes reaching children who are especially vulnerable to these threats, such as those living without family care, on the streets or in situations of conflict or natural disasters. Note: Year 2010-2016 is taken as 2016
    • 10月 2015
      ソース: Joint United Nations Programme on HIV/AIDS
      アップロード者: Knoema
      以下でアクセス: 26 2月, 2016
      データセットを選択
      UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.
    • 11月 2018
      ソース: DevInfo
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2018
      データセットを選択
      This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators
    • 7月 2019
      ソース: Joint United Nations Programme on HIV/AIDS
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2019
      データセットを選択
      This Dataset contains Regional and National level Data.
    • 9月 2018
      ソース: U.S. Department of Homeland Security
      アップロード者: Knoema
      以下でアクセス: 20 11月, 2018
      データセットを選択
      The Yearbook of Immigration Statistics is a compendium of tables that provides data on foreign nationals who, during a fiscal year, were granted lawful permanent residence (i.e., admitted as immigrants or became legal permanent residents), were admitted into the United States on a temporary basis (e.g., tourists, students, or workers), applied for asylum or refugee status, or were naturalized.
  • V
  • W
    • 9月 2015
      ソース: Water FootPrint Network
      アップロード者: Knoema
      以下でアクセス: 27 10月, 2015
      データセットを選択
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2012) A global assessment of the water footprint of farm animal products, Ecosystems, 15(3): 401–415. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • 9月 2015
      ソース: Water FootPrint Network
      アップロード者: Knoema
      以下でアクセス: 27 10月, 2015
      データセットを選択
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) National water footprint accounts: the green, blue and grey water footprint of production and consumption, Value of Water Research Report Series No.50, UNESCO-IHE, Delft, the Netherlands. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • 5月 2012
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2012
      データセットを選択
      Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.
    • 11月 2018
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2018
      データセットを選択
      The World malaria report 2018 draws on data from 90 countries and areas with ongoing malaria transmission. The information is supplemented by data from national household surveys and databases held by other organizations.
    • 7月 2017
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2018
      データセットを選択
    • 8月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 19 8月, 2019
      データセットを選択
      The working poverty rate conveys the percentage of employed persons living in poverty in spite of being employed. Poverty is defined using the international poverty line of US$1.90 per day in purchasing power parity (PPP). For further information, see the SDG Indicators Metadata Repository.
    • 8月 2019
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2019
      データセットを選択
      Trade Statistics of all Commodities
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2019
      データセットを選択
      Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
    • 3月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Sustainable Energy For All Publication: https://datacatalog.worldbank.org/dataset/sustainable-energy-all License: http://creativecommons.org/licenses/by/4.0/   The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.
    • 8月 2012
      ソース: Multiple Sources
      アップロード者: Carpe Facto
      データセットを選択
      Coffee consumption by country.
    • 8月 2019
      ソース: World Steel Association
      アップロード者: Sivakama Sundari
      以下でアクセス: 19 8月, 2019
      データセットを選択
      The World Steel Association (world steel) collects crude steel production data from 66 countries. These 66 countries accounted for approximately 99% of total world crude steel production in 2016. 
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2019
      データセットを選択
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • 10月 2016
      ソース: International Federation of Red Cross and Red Crescent Societies
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2016
      データセットを選択
    • 5月 2014
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2014
      データセットを選択
      Includes datasets on communicable diseases, human resources for health, noncommunicable diseases and world health statistics.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      World Indicators of Skills for Employment (WISE) provide a comprehensive system of information relating to skills development. WISE presents countries with data upon which they can design skills policies and programs and monitor their impact on key outcomes, including responsiveness to current and emerging patterns of labour market demand, employability, productivity, health status, gender equity and lifelong learning.The database covers the period from 1990 to the present and consists of five inter-related domains of indicators:Contextual factors drive both the supply of and demand for skills.Skill acquisition covers investments in skills, the stock of human capital and its distribution.Skill requirements measure the demand for skills arising in the labour market.The degree of matching captures how well skills obtained through education and training correspond to the skills required in the labour market.Outcomes reflect the impact of skills on economic performance and employment and social outcomes.
    • 12月 2018
      ソース: World Integrated Trade Solution
      アップロード者: Knoema
      以下でアクセス: 21 1月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Integrated Trade Solution Trade Stats Publication: https://datacatalog.worldbank.org/dataset/world-integrated-trade-solution-trade-stats License: http://creativecommons.org/licenses/by/4.0/   WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.  
    • 11月 2017
      ソース: World Intellectual Property Organization
      アップロード者: Knoema
      以下でアクセス: 08 3月, 2018
      データセットを選択
      Data cited at: "World Intellectual Property Report 2017–Intangible Capital in Global Value Chains" @WIPO2017 which is made available under a BY 3.0 IGO License   The World Intellectual Property Report 2017 examines the crucial role of intangibles such as technology, design and branding in international manufacturing. Macroeconomic analysis is complemented by case studies of the global value chains for three products – coffee, photovoltaic energy cells and smartphones – to give an insightful picture of the importance of intellectual property and other intangibles in modern production.
    • 6月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2019
      データセットを選択
      The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. This Report further focuses on:Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications.Ranking of the largest transnational corporations in the world.In-depth analysis of a selected topic related to FDI.Policy analysis and recommendations.Statistical annex with data on FDI flows and stocks for 196 economies.
    • 3月 2019
      ソース: World Steel Association
      アップロード者: Knoema
      以下でアクセス: 09 4月, 2019
      データセットを選択
      1) This dataset contains monthly blast furnace iron (BFI) and direct reduced iron (DRI) production data. The total for the year is not the sum of the 12 calendar months. This is because annual production is reported separately. Regional and grand totals refer to the countries listed only. Other countries report only annual - and not monthly - data. 2) World Steel Association collects Blast Furnace Iron production (BFI) from 39 countries and Direct Reduced Iron production (DRI) production from 14 countries . The 39 countries accounted for approximately 99% of total world BFI production and 14 countries accounted for 85% of total world DRI in 2015.
    • 6月 2019
      ソース: Ethnologue
      アップロード者: Knoema
      以下でアクセス: 21 6月, 2019
      データセットを選択
      Data Cited at: http://www.ethnologue.com/statistics   The World Languages section of this site provides country summaries and language-by-language information. This section steps above that detail to offer a summary view of the world language situation. Specifically, it offers numerical tabulations of languages and number of speakers by world area, by language size, by language status, by language family, and by country.    
    • 6月 2019
      ソース: British Geological Survey
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2019
      データセットを選択
      World Mineral Production covers the majority of economically important mineral commodities. For each commodity constant efforts are made to ensure that as many producing countries as possible are reported. For some commodities, where statistics on production are not publicly available, estimates are made.
    • 8月 2019
      ソース: World Nuclear Association
      アップロード者: Knoema
      以下でアクセス: 15 8月, 2019
      データセットを選択
      Data cited at: World Nuclear Association Definition of indicators: at). Operable = Connected to the grid. b). Under Construction = First concrete for reactive reactor, or major refurbishment underway. c). Planned = Approvals, funding or commitment in place, mostly expected in operation within 8-10 years d). Proposed = Specific program or site proposals, timing of start of operation very uncertain. Note: Nuclear Electricity Generation values ​​are annual and value changes every year.
    • 11月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 13 2月, 2019
      データセットを選択
      This table provides estimates from 1950 to 2016 and projections from 2017 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
    • 4月 2019
      ソース: Reporters Without Borders
      アップロード者: Knoema
      以下でアクセス: 13 5月, 2019
      データセットを選択
      The Range of Score to Access the Press Freedom.  From 0 to 15 points: Good From 15.01 to 25 points: Fairly good From 25.01 to 35 points: Problematic From 35.01 to 55 points: Bad From 55.01 to 100 points: Very bad Note: Negative value is available for 2012 only and it represents the country in top* The press freedom index that Reporters Without Borders publishes every year measures the level of freedom of information in nearly 180 countries. It reflects the degree of freedom that journalists, news organizations and netizens enjoy in each country, and the efforts made by the authorities to respect and ensure respect for this freedom. It is based partly on a questionnaire that is sent to our partner organizations (18 freedom of expression NGOs located in all five continents), to our network of 150 correspondents, and to journalists, researchers, jurists and human rights activists. The 179 countries ranked in this year’s index are those for which Reporters Without Borders received completed questionnaires from various sources. Some countries were not included because of a lack of reliable, confirmed data. A score and a position are assigned to each country in the final ranking. They are complementary indicators that together assess the state of press freedom. In order to make the index more informative and make it easier to compare different years, scores will henceforth range from 0 to 100, with 0 being the best possible score and 100 the worst. The index reflects the situation during a specific period. This year’s index is based solely on events between the start of December 2012 and the end of November 2013. It does not look at human rights violations in general, just violations of freedom of information. The index should in no way be taken as an indication of the quality of the media in the countries concerned.   *In order to have a bigger spread in the scores and increase the differentiation between countries, this year’s questionnaire had more answers assigning negative points. That is why countries at the top of the index have negative scores this year. Although the point system has produced a broader distribution of scores than in 2010, each country’s evolution over the years can still be plotted by comparing its position in the index rather than its score. This is what the arrows in the table refer to – a country’s change in position in the index compared with the preceding year.      
    • 10月 2013
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 24 11月, 2014
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Report On Disability Publication: https://datacatalog.worldbank.org/dataset/world-report-disability License: http://creativecommons.org/licenses/by/4.0/   This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country
    • 9月 2017
      ソース: World Tourism Organization
      アップロード者: Knoema
      以下でアクセス: 16 11月, 2017
      データセットを選択
      World Tourism Organization, Country Specified Database, 2016
    • 5月 2018
      ソース: United Nations Department of Economic and Social Affairs
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2018
      データセットを選択
      The 2018 Revision of World Urbanization Prospects presents the latest United Nations estimates of the size of urban and rural populations for 233 countries or areas from 1950 to 2018, with projections until 2050. It also includes data on population size for close to 1900 urban settlements having 300000 inhabitants or more in 2018. These 1900 cities or urban areas are now home to nearly 60 per cent of the world’s urban population.
    • 6月 2019
      ソース: World Wind Energy Association
      アップロード者: Knoema
      以下でアクセス: 05 7月, 2019
      データセットを選択
    • 3月 2019
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2019
      データセットを選択
      Note: 2018 data is projected data World : Rice Area, Yield and Production
    • 8月 2018
      ソース: Scimago Lab
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2018
      データセットを選択
      SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.
    • 8月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2018
      データセットを選択
      The Worldwide Governance Indicators (WGI) project reports aggregate and individual governance indicators for over 200 countries and territories over the period 1996–2017, for six dimensions of governance:Voice and AccountabilityPolitical Stability and Absence of ViolenceGovernment EffectivenessRegulatory QualityRule of LawControl of Corruption The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources. Measure description: Estimate:-Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance) Standard error (StdErr):-Standard error reflects variability around the point estimate of governance. Number of sources (NumSrc):-Number of data sources on which estimate is based Rank:-Percentile rank among all countries (ranges from 0 (lowest) to 100 (highest) rank) Lower:-Lower bound of 90% confidence interval for governance, in percentile rank terms Upper:-Upper bound of 90% confidence interval for governance, in percentile rank terms
    • 11月 2015
      ソース: Wine Institute
      アップロード者: Knoema
      以下でアクセス: 15 9月, 2016
      データセットを選択
      Vineyard acreage is based on United Nations Food & Agriculture Organization (FAO) data, Eurostat data and estimates and reports from individual countries. It includes vineyards used for the production of wine variety grapes, raisin variety grapes, table grapes (for the fresh market) and juice grapes (for the production of grape juice and grape juice concentrate). Wine consumption includes data for 225 countries during the period 2011-2014. Consumption has been estimated by TDA by aggregating the exports of the major wine producing countries to each individual country. The aggregation includes 41 countries including the EU 28, Argentina, Australia, Canada, China, Chile, Hong Kong, New Zealand, Singapore, South Africa, South Korea, Ukraine, United States, and Uruguay. The November 2015 revision pertains to Sweden. Wine production quantity indicated for China does not include the production of Chinese yellow wine; quantity indicated for Japan does not include the production of Sake; quantity indicated for Korea does not include the production of fruit wine and rice wine.
    • 9月 2018
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2018
      データセットを選択
      WTO statistical data sets: Total merchandise trade, Merchandise trade by commodity, Network of world merchandise trade, Selected regional integration agreements, Trade in commercial services, Merchandise trade indices.
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