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スリランカ

  • 大統領:Maithripala Sirisena
  • 首相:Ranil Wickremesinghe
  • 首都:Sri Jayawardenepura Kotte (administrative), Colombo (commercial)
  • 言語:Sinhala (official and national language) 74%, Tamil (national language) 18%, other 8% note: English, spoken competently by about 10% of the population, is commonly used in government and is referred to as the link language in the constitution
  • 政府
  • 統計局
  • 人口:21,203,000 (2016)
  • 面積:62,710 (2016)
  • 一人当たりGDP:3,835 (2016)
  • GDP, billion current US$:81.3 (2016)
  • GINI指数:39.16 (2012)
  • ビジネスのしやすさランク:110 (2016)
すべてのデータセット:  3 A B C D E F G H I J K L M N O P Q R S T U V W
  • 3
  • A
    • 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 organizations - European Commission, IMF, OECD, World Bank, UN LINK
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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).
    • 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: 29 7月, 2015
      データセットを選択
    • 7月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 17 8月, 2017
      データセットを選択
      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014
    • 7月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 17 8月, 2017
      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.
    • 7月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2017
      データセットを選択
      Agri-Environmental Indicators - Livestock (1961-2014)
    • 7月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2017
      データセットを選択
      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • 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: 29 7月, 2015
      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: 29 7月, 2015
      データセットを選択
    • 6月 2017
      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 6月, 2017
      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.
    • 6月 2017
      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 6月, 2017
      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.
    • 4月 2017
      ソース: Akamai
      アップロード者: Knoema
      以下でアクセス: 07 6月, 2017
      データセットを選択
    • 6月 2013
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2014
      データセットを選択
      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • 6月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2017
      データセットを選択
      APD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Asia and Pacific. Data for the REO for Asia and Pacific is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • 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.
    • 3月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2015
      データセットを選択
    • 3月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2015
      データセットを選択
    • 3月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2015
      データセットを選択
  • B
    • 2月 2017
      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 2月, 2017
      データセットを選択
      Since the collection of 2009 data, the scope of the OECD Global Insurance Statistics questionnaire has been expanded. These changes led to the collection of key balance sheet and income statement items for direct insurance and reinsurance sectors, such as: gross claims paid, outstanding claims provision (changes), gross operating expenses, commissions, total assets, gross technical provisions (of which: unit-linked), shareholder equity, net income.
    • 6月 2015
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2015
      データセットを選択
    • 8月 2015
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2015
      データセットを選択
    • 1月 2016
      ソース: Bertelsmann Stiftung
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2016
      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.
    • 9月 2016
      ソース: National Statistics Bureau, Bhutan
      アップロード者: Knoema
      以下でアクセス: 12 1月, 2017
      データセットを選択
      Bhutan : Tourism Statistics, 2015
    • 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.
    • 10月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 11 11月, 2016
      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 2017
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 01 9月, 2017
      データセットを選択
      Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".
    • 9月 2017
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 20 9月, 2017
      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
    • 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.
    • 12月 2016
      ソース: Times Higher Education
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2017
      データセットを選択
      The Times Higher Education BRICS & Emerging Economies Rankings 2017, provides institutions ranking and Score (performance indicators). The rankings use 13 performance indicators to provide the most comprehensive and balanced comparisons, trusted by students, academics, university leaders, industry and even governments – but the weightings are specially recalibrated to reflect the characteristics of emerging economy universities.The performance indicators are grouped into five areas:1. Teaching (the learning environment)2. Research (volume, income and reputation)3. Citations (research influence)4. International outlook (staff, students and research)5. Industry income (knowledge transfer)Note: The ranking of institutions, after 200, have been given in range like 201-250 and 251-300.The rank has been taken as 201, 202, 203……..250 as the same order as they appear in the source.
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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.
    • 8月 2017
      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: 10 8月, 2017
      データセットを選択
      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Business written in the reporting country on a gross and net premium basis. It contains a breakdown between domestic companies, foreign-controlled companies and branches and agencies or foreign companies.
  • C
    • 2月 2017
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2017
      データセットを選択
      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.
    • 7月 2015
      ソース: United Nations Economic Commission for Europe
      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
    • 1月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2016
      データセットを選択
    • 12月 2012
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2016
      データセットを選択
    • 7月 2017
      ソース: End Coal
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2017
      データセットを選択
    • 8月 2017
      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 8月, 2017
      データセットを選択
      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Commissions in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agences of foreign companies.
    • 2月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      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
    • 9月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2017
      データセットを選択
      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • 12月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 13 2月, 2017
      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).
    • 12月 2016
      ソース: Transparency International
      アップロード者: Knoema
      以下でアクセス: 30 1月, 2017
      データセットを選択
      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.
    • 2月 2017
      ソース: Numbeo
      アップロード者: Knoema
      以下でアクセス: 07 3月, 2017
      データセットを選択
      These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • 11月 2012
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2012
      データセットを選択
      Countries at the Crossroads is an annual analysis of government performance in 70 strategically important countries worldwide that are at a critical crossroads in determining their political future. The in-depth comparative assessments and quantitative ratings – examining government accountability, civil liberties, rule of law, and anticorruption and transparency efforts – are intended to help international policymakers identify areas of progress, as well as to highlight areas of concern that could be addressed in diplomatic efforts and reform assistance.The Crossroads project has generated far-reaching interest since its inception in 2004. Increased attention to the relationship between competent governance and respect for civil and political rights means that scholars and policymakers require sophisticated tools to help place the performance of various governments in perspective. Crossroads helps ground this analysis by providing indispensable quantitative assessment that allows for comparison over time, as well as detailed narrative reports that provide real-world context.A new edition of Crossroads is published each year, with half the set of countries analyzed in odd years and the other half in even years. Crossroads reports are written and evaluated by some of the most prominent independent experts available for each country.
    • 4月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 20 8月, 2015
      データセットを選択
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 18 8月, 2017
      データセットを選択
      The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI)
    • 4月 2017
      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 6月, 2017
      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
    • 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
    • 4月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 18 4月, 2016
      データセットを選択
      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • 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: 10 2月, 2017
      データセットを選択
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three subsectors of agriculture, forestry, and fishing are completely specified. In other cases, complete disaggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • 10月 2013
      ソース: ESPN Cricinfo
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2013
      データセットを選択
      Cricket Statistics, 2013
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      データセットを選択
      GHG emissions data from cultivation of organic soils are those associated with nitrous oxide gas from cultivated 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 the two aggregated. Implied emission factor for N2O as well activity data (areas) are also provided.
    • 5月 2017
      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: 18 7月, 2017
      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
    • 3月 2015
      ソース: Bank of Canada
      アップロード者: Kirill Kosenkov
      以下でアクセス: 27 7月, 2015
      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 1975 to 2014 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • 3月 2014
      ソース: Center for Systemic Peace
      アップロード者: Knoema
      以下でアクセス: 08 8月, 2014
      データセットを選択
      The following table lists 328 episodes of armed conflict (including 30 ongoing cases) that comprise a comprehensive accounting of all forms of major armed conflicts in the world over the contemporary period: 1946-2013
    • 12月 2015
      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 2月, 2017
      データセットを選択
      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business datawhere composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Click to collapse Item coverage Outstanding investment by direct insurance companies, classified by investment category, by the companies' nationality and by its destination (domestic or foreign). As of 2009, investment data exclude assets linked to unit-linked products sold to policyholders.
    • 4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: 20 7月, 2017
      データセットを選択
      Financing Global Health 2016 is the eighth edition of IHME’s annual series on global health spending and health financing. In addition to describing the trends in development assistance for health (DAH), this year’s report features an expanded discussion of domestic spending across low-, middle-, and high-income countries to describe the context in which DAH operates, identify health financing gaps, and support the pursuit of universal health coverage. Also new in Financing Global Health this year are detailed data for the funding of specific program areas within DAH for malaria and more thorough analysis of DAH for health system strengthening. This adds to the existing detailed tracking of DAH by program area for HIV/AIDS, maternal, newborn, and child health, and non-communicable diseases (NCDs). The coverage of domestic health spending builds on data and analyses presented in two papers published this year: “Global Burden of Disease Financing Global Health Collaborator Network. Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries,” and “Global Burden of Disease Financing Global Health Collaborator Network. Future and potential spending on health 2015–2040 by government, prepaid private, out-of-pocket, and donor financing for 184 countries.” Both analyses were published in The Lancet in April 2017. More information about these data and methods are found in the online methods annex.
    • 5月 2007
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2015
      データセットを選択
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • 7月 2017
      ソース: Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 11 8月, 2017
      データセットを選択
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • 9月 2012
      ソース: Americans for Divorce Reform
      アップロード者: Knoema
      データセットを選択
      Divorce Indicators across countries
    • 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
    • 10月 2016
      ソース: Fraser Institute
      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 economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
    • 12月 2012
      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: 21 5月, 2013
      データセットを選択
    • 1月 2016
      ソース: Ministry of Finance, Government of India
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2016
      データセットを選択
      Source: Department of Commerce based on DGCI&S data. The dataset provides the data on the direction of imports and exports by regions and Countries in rupee crores and U.S. dollar, million.
    • 9月 2015
      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: 23 11月, 2015
      データセットを選択
      Countries report expenditures by public institutions, government-dependent private institutions, and independent private institutions. These expenditure figures are intended to represent the total cost of services provided by each type of institution, without regard to sources of funds (whether they are public or private). Expenditure is classified into current and capital expenditure. Current expenditure is then broken down, into expenditure on compensation of personnel, and expenditure on other (non-personnel) resources.
    • 12月 2015
      ソース: United Nations Development Programme
      アップロード者: Misha Gusev
      データセットを選択
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • 6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: 09 6月, 2016
      データセットを選択
      The classification of personnel is based on functions and organises staff into four main functional categories: 1) Instructional Personnel; including two sub-groups: A. Classroom Teachers (ISCED 0-4) and Academic Staff (ISCED 5-6); and B. Teacher Aides (ISCED 0-4) and Teaching / Research Assistants (ISCED 5-6); 2) Professional Support for Students; including two sub-groups: A. Pedagogical Support (ISCED 0-4) and Academic Support (ISCED 5-6); B. Health and Social Support (ISCED 0-6); 3) Management/Quality Control/Administration; including four subgroups: A. School Level Management (ISCED 0-6); B. Higher Level Management (ISCED 0-6); C. School Level Administrative Personnel (ISCED 0-6); and D. Higher Level Administrative Personnel (ISCED 0-6); 4) Maintenance and Operations Personnel.
    • 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: 13 1月, 2017
      データセットを選択
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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.
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 12月, 2016
      データセットを選択
      Manure ManagementGreenhouse gas (GHG) emissions from manure management consist of methane and nitrous oxide gases from aerobic and anaerobic manure decomposition processes. 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, 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 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 factors, direct and indirect emissions (for both N2O and CO2eq) as well as N content in manure are also provided.
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      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.
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      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.
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      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.
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      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.
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      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).
    • 9月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2017
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 5月 2017
      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: 08 6月, 2017
      データセットを選択
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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
    • 3月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2017
      データセットを選択
      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2015, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    • 1月 2016
      ソース: Environmental Performance Index
      アップロード者: Knoema
      以下でアクセス: 09 3月, 2016
      データセットを選択
    • 1月 2016
      ソース: Environmental Performance Index
      アップロード者: Knoema
      以下でアクセス: 08 3月, 2016
      データセットを選択
      A “proximity-to-target methodology” is used to assess how close each country is to an identified policy target. Country scores are determined by how close or far countries are to targets. Scores are standardized (i.e., on a scale of 0 to 100) for comparability, weighting, and aggregation. The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • 9月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2016
      データセットを選択
    • 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
    • 9月 2017
      ソース: XE
      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
      This dataset contains the exchange rate of 1USD to their country local currency.
    • 10月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 22 10月, 2015
      データセットを選択
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • 9月 2014
      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: 04 10月, 2014
      データセットを選択
      Countries report expenditures by sources of funds: Governement (central, regional, local); International agencies and other foreign sources; Households and Other private entities (including firms and religious institutions and other non-profit organisations). Three types of financial transactions can be distinguished: -direct expenditure/payments on educational institutions -Intergovernmental transfers for education -Transfers to students or households and to other private entities.
    • 9月 2016
      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 10月, 2016
      データセットを選択
      This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
    • 7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: 16 7月, 2014
      データセットを選択
      This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
    • 3月 2017
      ソース: Coffee Board of India
      アップロード者: Knoema
      以下でアクセス: 12 6月, 2017
      データセットを選択
    • 9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: 10 10月, 2013
      データセットを選択
      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
    • 9月 2017
      ソース: Ministry of Finance, Republic of China (Taiwan)
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2017
      データセットを選択
  • F
    • 5月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2017
      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 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 03 8月, 2016
      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 programme is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • 7月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2017
      データセットを選択
      Consumer price indices (CPIs) measure changes over time in the general level of prices of consumer goods and services that households acquire, use or pay for consumption. This is done by measuring the cost of purchasing a fixed basket of consumer goods and services of constant quality and similar characteristics, with the products in the basket being selected to be representative of households’ expenditure during a year or other specified period.   Note: For some countries quarterly data is mentioned as monthly data because of quarter (Time period of quarter) differs across countries. Please go to the link: "http://fenixservices.fao.org/faostat/static/documents/CP/CPI_e.pdf" for detail about countries' National index reference period, definition, data details.    
    • 6月 2012
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2012
      データセットを選択
      This dataset represents Food Consumption, Food Production and Trade by various Food items. Note: data represent values for time periods (1990-1992, 1995-97, 2000-02, 2005-07) and is shown as data for the last year of time period (1992, 1997, 2002, 2007).
    • 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: 12 1月, 2017
      データセットを選択
      Note: Data represent values for time periods (1990-1992,1995-97,2000-02,2005-07) and is shown as data for the last year of time period(1992,1997,2002,2007).
    • 4月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 24 8月, 2017
      データセットを選択
      The Price domain of FAOSTAT contains annual data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 130 countries and for some 200 commodities, representing over 97 percent of the world’s value of gross agricultural production (at 1999-2001 International Dollar Prices). PriceSTAT contains data from 1991 onwards. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • 10月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 03 1月, 2017
      データセットを選択
      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • 11月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 27 12月, 2016
      データセットを選択
      Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
    • 5月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2017
      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
    • 12月 2015
      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 4月, 2017
      データセットを選択
      FDI data are based on statistics provided by 35 OECD member countries.
    • 5月 2017
      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 7月, 2017
      データセットを選択
    • 5月 2017
      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 7月, 2017
      データセットを選択
    • 8月 2017
      ソース: International Federation of Association Football
      アップロード者: Knoema
      以下でアクセス: 09 9月, 2017
      データセットを選択
      Monthly updates of FIFA World Football Men's Ranking 
    • 7月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2017
      データセットを選択
      The FAS is the sole source of global supply-side data on financial inclusion, encompassing internationally-comparable basic indicators of financial access and usage. From 2014, FAS also includes indicators for mobile money. In addition to providing policy makers and researchers with annual geographic and demographic data on access to basic consumer financial services worldwide, the FAS is the data source for the G-20 Basic Set of Financial Inclusion Indicators endorsed by the G-20 at the Los Cabos Summit in 2012.  The FAS database currently contains 152 time series and 47 key indicators which are grouped into two dimensions: (i) geographic outreach of financial services; and (ii) use of financial services. The database includes annual data from 2004 and metadata for the reporting jurisdictions.
    • 9月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 04 9月, 2017
      データセットを選択
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • 2月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2017
      データセットを選択
      The Financial Soundness Indicators (FSIs), developed by the IMF together with the international community, are aimed at supporting macroprudential analysis—the surveillance and assessment of the strengths and vulnerabilities of financial systems:FSIs include indicators of the health of entire sectors of financial institutions, but also of the counterpart corporate and household sectors, and of relevant markets.FSIs, conceived as a new area of statistics—macroprudential statistics—aims to fill the gap between macroeconomic statistics and micro-prudential data.
    • 6月 2017
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 29 6月, 2017
      データセットを選択
      The statistics present information about total consumption of energy, electricity production and total consumption and imports and exports of energy.
    • 11月 2016
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2017
      データセットを選択
      Statistics on international trade in services describe Finnish enterprises’ international sales and imports of services by service type and target country.
    • 2月 2017
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 28 2月, 2017
      データセットを選択
      Employment statistics are annual statistics providing data by region on the population’s economic activity and employment. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14.This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students.Statistics cannot be compiled reliably on employment by under-age people on the basis of register data.Citizenships are specified in the dataset if the number of people in the citizenship group exceeds 299.
    • 3月 2017
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2017
      データセットを選択
      These statistics on the structure of the population describe Finnish and foreign citizens permanently resident in Finland at the turn of the year.
    • 4月 2017
      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: 11 8月, 2017
      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.
    • 4月 2017
      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: 11 8月, 2017
      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.
    • 2月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      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.
    • 2月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2017
      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 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 17 2月, 2017
      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.
    • 2月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      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: Knoema
      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.
    • 10月 2016
      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 12月, 2016
      データセットを選択
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2015
      データセットを選択
      Eurostat Dataset Id:educ_enrl8 The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes by pupils and students, personnel in education and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the UOE data collection:the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered:Context - School-aged population, overall participation rates in educationDistribution of pupils/students by levelParticipation/enrolment in education (ISCED 0-4)Tertiary education participationTertiary education graduatesTeaching staff (ISCED 1-3)Pupil/students-teacher ratio and average class size (ISCED 1-3)Language learning (ISCED 1-3)Regional enrolmentsExpenditure on education in current pricesExpenditure on education in constant pricesExpenditure on education as % of GDP or public expenditureExpenditure on public and private educational institutionsFinancial aid to studentsFunding of education Other tables, used to measure progress towards the Lisbon objectives in education and training, are gathered in the Thematic indicators tables. They contain the following indicators: - Teachers and trainers - Mathematics, science and technology enrolments and graduates - Investments in education and training - Participation rates in education by age and sex - Foreign language learning - Student mobility
    • 9月 2017
      ソース: U.S. Census Bureau
      アップロード者: Knoema
      以下でアクセス: 08 9月, 2017
      データセットを選択
    • 7月 2015
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2015
      データセットを選択
    • 6月 2015
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 26 5月, 2016
      データセットを選択
    • 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: 04 1月, 2017
      データセットを選択
      The database contains data on the production and trade in round wood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: round wood, sawn wood, 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: - Round wood removals (production) by type of wood and assortment - Production and trade in round wood, wood fuel and other basic products - Industrial round wood by assortment and species - Sawn wood, 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/
    • 5月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2017
      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)
    • 5月 2017
      ソース: Fund for Peace
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2017
      データセットを選択
      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.
    • 1月 2017
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 03 1月, 2017
      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 195 countries and 15 territories. 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 2012
      ソース: Public Accountability Mechanisms
      アップロード者: Knoema
      データセットを選択
      Experts commonly support the notion that access to information is integral to the promotion of participation, transparency and accountability in any given society. A freedom of information framework aims at improving the efficiency of the government and increasing the transparency of its functioning by: 1. Regularly and reliably providing government documents to the public; 2. Educating the public on the significance of transparent government;3. Facilitating appropriate and relevant use of information in the lives of individuals
  • G
    • 8月 2017
      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: 21 8月, 2017
      データセットを選択
      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."
    • 9月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2017
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 9月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2017
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset includes gender inequality and development indices.
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2017
      データセットを選択
      Gender Stats is... A one stop source of information on gender at the country level. A compilation of data on key gender topics from national statistics agencies, United Nations databases, and World Bank-conducted or funded surveys. A work-in-progress because the database is continuously updated as new information becomes available.
    • 2月 2015
      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: 17 2月, 2015
      データセットを選択
      The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s economic empowerment and understand gender gaps in other key areas of development. Covering 160 countries, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
    • 12月 2015
      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 2月, 2017
      データセットを選択
      This part contains general information on number of insurance companies and employees within the sector.
    • 12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: 04 1月, 2017
      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.
    • 12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: 25 7月, 2017
      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.
    • 12月 2015
      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: 02 12月, 2016
      データセットを選択
    • 11月 2016
      ソース: Emission Database for Global Atmospheric Research
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2017
      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 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 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2017
      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
    • 3月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2017
      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
    • 1月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2016
      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.
    • 11月 2016
      ソース: DHL
      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
      DHL released the third edition of its Global Connectedness Index (GCI), a detailed analysis of the state of globalization around the world. The latest report, authored by internationally acclaimed globalization expert Professor Pankaj Ghemawat together with Steven A. Altman, shows that global connectedness, measured by cross-border flows of trade, capital, information and people, has recovered most of its losses incurred during the financial crisis. Especially the depth of international interactions – the proportion of interactions that cross national borders – gained momentum in 2013 after its recovery had stalled in the previous year. Nonetheless, trade depth, as a distinct dimension of globalization, continues to stagnate and the overall level of global connectedness remains quite limited, implying that there could be gains of trillions of US dollars if boosted in future years.
    • 7月 2017
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 13 9月, 2017
      データセットを選択
      Global Cybersecurity Index, 2017 Source: DOWNLOAD Note: 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.
    • 12月 2015
      ソース: Global Democracy Ranking
      アップロード者: Knoema
      以下でアクセス: 06 1月, 2016
      データセットを選択
      The Democracy Ranking is an annual ranking of all democracies (country-based democracies) in the world by focusing on the Quality of Democracy in an international perspective. The Democracy Ranking publishes the ranking scores and displays ranking score increases or decreases over time. The Democracy Ranking is a ranking of the Quality of Democracy in the sense that the ranking scores should reflect a ranking of democracies according to their differing qualities; and the Democracy Ranking is a ranking for the Quality of Democracy, because it wants to contribute conceptually to how democracy quality may be measured as well as wants to support the awareness how important democracy quality is for the further development, reform and enhancement of democracies.
    • 12月 2011
      ソース: Global Facility for Disaster Reduction and Recovery
      アップロード者: Knoema
      データセットを選択
      Contains outcomes of post-disaster damage, loss, and needs assessments carried out by various international organizations following the Damage and Loss Assessment (DaLA) and/or Post-Disaster Needs Assessment (PDNA) methodologies.
    • 12月 2016
      ソース: Emission Database for Global Atmospheric Research
      アップロード者: Knoema
      以下でアクセス: 20 4月, 2017
      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 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2017
      データセットを選択
      The Energy Architecture Performance Index (EAPI) uses a set of indicators to highlight the performance of various countries across each facet of their energy architecture, determining to what extent nations have been able to create affordable, sustainable and secure energy systems   1)Economic growth and development: The extent to which energy architecture supports, rather than detracts from, economic growth and development2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities3) Energy access and security: The extent to which energy architecture is at risk of an energy security impact, and whether adequate access to energy is provided to all parts of the population   Note: For detail methodology please visit:"http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2017.pdf"
    • 1月 2017
      ソース: Global Entrepreneurship and Development Institute
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2017
      データセットを選択
      Global Entrepreneurship Index provides information about global entrepreneurship subIndex ranks and scoring of all countries.It also provides information about certain indicators like attitudes,abilities and aspirations with their ranks and scores
    • 6月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 28 6月, 2017
      データセットを選択
      The Global Financial Development Database is an extensive dataset of financial system characteristics for countries and group-wise 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 Cihák, Asli Demirgüç-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. Concepts: The Kruskal-Wallis H test (sometimes also called the "one-way ANOVA on ranks") is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. The Z score method examines liquidity, profitability, reinvested earnings and leverage which are integrated into a single composite score. It can be used with past, current or projected data as it requires no external inputs such as GDP or Market Price. Z-Score Ratings cutoff scores used in classifications: AAA 8.15, AA 7.30, A 6.65 , BBB 5.85, BB 4.95, B 4.15, CCC 3.20, D 3.19
    • 4月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2015
      データセットを選択
      The Global Financial Inclusion Database provides 800 country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirguc-Kunt, Asli, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden. 2015. “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, DC. Note: 1: Variable [w1] refers to 2011 variables 2: Variable [w2] refers to 2014 variables 3: Variable [ts] refers to Time Series variables (2011, 2014)
    • 5月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 19 6月, 2017
      データセットを選択
      Global Financial Stability Report (GFSR) finds that six years after the start of the crisis, the global economic recovery continues to rely heavily on accommodative monetary policies in advanced economies. Monetary accommodation remains critical in supporting the economy by encouraging economic risk taking in the form of increased real spending by households and greater willingness to invest and hire by businesses. However, prolonged monetary ease may also encourage excessive financial risk taking.
    • 3月 2017
      ソース: GFP
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2017
      データセットを選択
      Global Firepower, 2017   Global Firepower (GFP) provides a unique analytical display of data concerning today's world military powers. Over 1000 world powers are considering in the ranking which allows for a broad spectrum of comparisons to be achieved concerning relative military strengths. The user should note that nuclear capability is not taken into account as that would defeat the purpose of such comparisons. Instead, the GFP ranking is based strictly on each nations potential conventional war-making capabilities across land, sea and air. The final ranking also incorporates values related to resources, finances and geography. Some statistics have been estimated where official numbers are not publicly available. The GFP ranking is based on a formula utilizing over fifty different factors, compiled and measured against each nation. Bonuses (ex: low oil consumption) and penalties (ex: high oil consumption) are applied to further refine the list. The finalized GFP value is recognized as the "Power Index" (PwrIndx) which supplies a nation its respective positioning in the rankings. Note : • Nuclear capability is NOT taken into account • Geographical factors influence every country's ranking • Ranking does not solely rely on total number of weapons available • Natural resource reliance (use/production) is taken into account • Land-locked nations are NOT penalized for lack of a standing navy • Naval powers ARE penalized for limited naval capabilities • Current political/military leadership is NOT taken into account
    • 3月 2017
      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, 2017
      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: Knoema
      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 2016
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2016
      データセットを選択
      This data set provides the Index benchmarks national gender gaps on economic, political, education and health criteria, and provides country rankings that allow for effective comparisons across regions and income groups. The rankings are designed to create greater awareness among a global audience of the challenges posed by gender gaps and the opportunities created by reducing them. The methodology and quantitative analysis behind the rankings are intended to serve as a basis for designing effective measures for reducing gender gaps. Score,1=No inequality, 0=Maximum inequality. Rank,1=Minimum inequality
    • 9月 2016
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2016
      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 2016
      ソース: International Food Policy Research Institute
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2017
      データセットを選択
      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 undernutrition, with two indicators of child undernutrition—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. The 2016 GHI has been calculated for 118 countries for which data on the four component indicators are available and where measuring hunger is considered most relevant. GHI scores are not calculated for some higher income countries where the prevalence of hunger is very low. The GHI is only as current as the data for its four component indicators. This year's GHI reflects the most recent available country-level data and projections available between 2011 and 2016. It therefore reflects the hunger levels during this period rather than solely capturing conditions in 2016. The 1992, 2000, 2008, and 2016 GHI scores reflect the latest revised data for the four component indicators of the GHI. Where original source data were not available, the estimates of the GHI component indicators were based on the most recent data available. The four component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1992, 2000, 2008, and 2016 GHI scores. Undernourishment data and projections for the 2016 GHI are for 2014-2016. 2. Child wasting and stunting: The child undernutrition indicators of the GHI—child wasting and child stunting—include data from the joint database of United Nations Children's Fund (UNICEF), the World Health Organization (WHO), and the World Bank, and additional data from WHO's continuously updated Global Database on Child Growth and Malnutrition; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) reports; and statistical tables from UNICEF. For the 2016 GHI, data on child wasting and child stunting are for the latest year for which data are available in the period 2011-2015. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1992, 2000, 2008, and 2016 GHI scores. For the 2016 GHI, data on child mortality are from 2015.   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Stunting in Children Under Five Years (%)4Prevalence of Wasting in Children Under Five Years(%)5Prevalence of underweight in children under five years (%)6Under-five Mortality  Rate(%)                                                                                    Indicators12345DateRangeDateRangeDateRangeDateRangeDateRange19941990-199419931991-199319941990-199419941990-199419921988-199219981994-199819921990-199219921988-199219921988-199219971993-199720021998-200219961994-199619971993-199719971993-199719981994-199820031999-200319971995-199720021998-200220021998-200220021998-200220072002-200720011999-200120072003-200720072003-200720031999-200320082003-200820022000-200220102006-201020102006-201020052000-200520092004-200920032001-200320142010-201420142010-201420062001-200620102006-201020042002-200420152011-201520152011-201520072003-200720132009-201320052003-2005    20082003-200820162011-201620062004-2006    20102005-2010  20082006-2008    20132009-2013  20092007-2009        20132011-2013        20162014-2016       * 6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale≤ 9.9 low10.0–19.9 moderate20.0–34.9 serious35.0–49.9 alarming50.0 ≤ extremely alarming
    • 7月 2016
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 13 1月, 2017
      データセットを選択
      This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
    • 5月 2017
      ソース: Global Innovation Index
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2017
      データセットを選択
      The Global Innovation Index (GII) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. It provides a key tool and a rich database of detailed metrics for 141 economies this year, which represent 95.1% of the world’s population and 98.6% of global GDP.
    • 9月 2016
      ソース: Global Innovation Index
      アップロード者: Knoema
      以下でアクセス: 12 1月, 2017
      データセットを選択
      The Global Innovation Index (The overall GII score is the simple average of the Input and Output Sub-Index scores) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. It provides a key tool and a rich database of detailed metrics for 141 economies this year, which represent 95.1% of the world’s population and 98.6% of global GDP. The Innovation Efficiency Ratio is calculated as the ratio of the Output Sub-Index score over the Input Sub-Index score. It is designed to assess the effectiveness of innovation systems and policies. The countries with the highest Innovation Efficiency Ratios are countries that combine certain levels of innovation inputs with more robust output.
    • 5月 2016
      ソース: Internal Displacement Monitoring Centre
      アップロード者: Knoema
      以下でアクセス: 18 5月, 2016
      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).
    • 2月 2016
      ソース: Material Flows
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2016
      データセットを選択
    • 12月 2016
      ソース: Milken Institute
      アップロード者: Knoema
      以下でアクセス: 06 1月, 2017
      データセットを選択
      Global Opportunity Index provides information that is vital to investors and policymakers. It helps government to pursue policies which can be helpful to attract foreign direct investment (FDI), expand their economies and accelerate job creation. It also help companies to explore FDI opportunities. Moreover, the index provides a baseline assessment for countries seeking to improve their business environments and attract foreign investors, the kind that commit capital to strategic projects rather than move it around as a fleeting portfolio tactic. Note: Composite Score (CS) is an average score of following indicators:a). Economic Fundamentals (EF)b). Ease of Doing Business (ED)c). Quality of Regulations (QR)d). Rule of Law (RL)Calculation of CS=( EF+ ED+ QR+ RL)/4Countries are ranked on basis of composite score (CS). For 2015, countries are also ranked on the basis of scores of individual indicators (EF, ED, QR and RL).Weighted Rank (WR) is average rank of following indicators:a). Financial Services (FS)b). Institutional Framework (IF)c). Economic Fundamental (EF)d). International Standard and Policy (IS)e). Business Perception (BP)Calculation of WR=( FS+ IF+ EF+ IS+ BP)/5
    • 6月 2017
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 09 6月, 2017
      データセットを選択
      The GPI covers 99.7 per cent of the world’s population, using 23 qualitative and quantitative indicators from highly respected sources and measures the state of peace using three thematic domains: the level of Societal Safety and Security; the extent of Ongoing Domestic and International Conflict; and the degree of Militarization. In addition to presenting the findings from the 2017 GPI, this report includes analysis of the Positive Peace factors that are most important for transitioning to higher levels of peace and how deterioration in Positive Peace are linked to the rise of populism in Europe. The report also assesses the trends in peacekeeping and militarization, including a cost/benefit analysis highlighting the positive economic benefits from early peace building interventions.
    • 9月 2017
      ソース: GlobalPetrolPrices.com
      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 is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013   Data cited at: Global Petrol Prices web site
    • 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
    • 1月 2017
      ソース: Jones Lang LaSalle
      アップロード者: Knoema
      以下でアクセス: 20 4月, 2017
      データセットを選択
      JLL’s Global Real Estate Transparency Index is a unique survey that quantifies real estate market transparency across 102 markets worldwide.The Index aims to help real estate investors, corporate occupiers, retailers and hotel operators understand important differences when transacting, owning and operating in foreign markets.
    • 3月 2017
      ソース: A. T. Kearney
      アップロード者: Knoema
      以下でアクセス: 25 4月, 2017
      データセットを選択
      The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.
    • 9月 2017
      ソース: countryeconomy.com
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2017
      データセットを選択
      Global Stock Market Indexes, Daily Update
    • 2月 2013
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2013
      データセットを選択
      Percentage of homicides by firearm, number of homicides by firearm and homicide by firearm rate per 100,000 population.Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person.
    • 4月 2014
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 20 5月, 2016
      データセットを選択
      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • 12月 2016
      ソース: INSEAD
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2017
      データセットを選択
      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • 6月 2017
      ソース: KPMG
      アップロード者: Knoema
      以下でアクセス: 05 7月, 2017
      データセットを選択
      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2017. Provided by KPMG.
    • 11月 2016
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2016
      データセットを選択
      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.
    • 1月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2016
      データセットを選択
    • 6月 2017
      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: 21 7月, 2017
      データセットを選択
      This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
    • 11月 2016
      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: 21 12月, 2016
      データセットを選択
      This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).  
    • 11月 2016
      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: 01 12月, 2016
      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.
    • 8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: 28 8月, 2014
      データセットを選択
      This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP).
    • 8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: 28 8月, 2014
      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 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: 18 3月, 2016
      データセットを選択
      Graduates are those who successfully complete an educational programme during the reference year of the data collection. One condition of a successful completion is that students should have enrolled in, and successfully completed, the final year of the corresponding educational programme, although not necessarily in the year of reference. Students who do not complete the final year of an educational programme, but later successfully complete a recognised "equivalency" examination based on knowledge learned outside of the education system, should not be counted as graduates. Successful completion is defined according to the graduation requirements established by each country: in some countries, completion occurs as a result of passing a final, curriculum-based examination or series of examinations. In other countries, completion occurs after a specific number of teaching hours has been accumulated (although completion of some or all of the course hours may also involve examinations).
    • 9月 2014
      ソース: United Nations Framework Convention on Climate Change
      アップロード者: Knoema
      以下でアクセス: 10 9月, 2014
      データセットを選択
      Note 1: The reporting and review requirements for GHG inventories are different for Annex I and non-Annex I Parties. The definition format of data for emissions/removals from the forestry sector is different for Annex I and non-Annex I Parties. Note 2: Base year data in the data interface relate to the base year under the Climate Change Convention (UNFCCC). The base year under the Convention is defined slightly different than the base year under the Kyoto Protocol. An exception is made for European Union (15) whereby the base year under the Kyoto Protocol is displayed.
    • 6月 2017
      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 6月, 2017
      データセットを選択
      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Gross claims payments in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
    • 6月 2017
      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 6月, 2017
      データセットを選択
      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. This part contains gross operating expenses in the reporting country, with a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
    • 7月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 7月, 2017
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      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
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      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
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2017
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2017
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2017
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2017
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      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
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2017
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
  • H
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2017
      データセットを選択
      The World Bank Health Nutrition and Population Statistics Provides key health, nutrition and population statistics gathered from a variety of international sources. Themes include population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, DALY, population projections and lending. HNPStats also includes health, nutrition and population statistics by wealth quintiles.
    • 10月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2017
      データセットを選択
      This dataset provides population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and gender and cover approximately 200 economies.
    • 6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, 2016
      データセットを選択
    • 9月 2017
      ソース: ClinicalTrials.gov
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2017
      データセットを選択
      ClinicalTrials.gov currently lists 254,052 studies with locations in all 50 States and in 200 countries. As of February 2017, ClinicalTrials.gov receives an average of more than 199 million page views per month and 76,000 unique visitors daily.
    • 11月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 26 5月, 2017
      データセットを選択
      The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product, Gross Government Debt, and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
    • 12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 2017
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2017
      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 2017
      ソース: Financial Tracking Service
      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
  • I
    • 9月 2016
      ソース: International Centre for Tax and Development
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2016
      データセットを選択
      A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • 3月 2017
      ソース: International Development Association
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2017
      データセットを選択
      The World Bank’s IDA Resource Allocation Index (IRAI) is based on the results of the annual CPIA exercise that covers the IDA eligible countries. The CPIA rates countries against a set of 16 criteria grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The criteria are focused on balancing the capture of the key factors that foster growth and poverty reduction, with the need to avoid undue burden on the assessment process. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IRAI.
    • 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.
    • 12月 2010
      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, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
    • 5月 2014
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2014
      データセットを選択
      This Dataset Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010.
    • 4月 2017
      ソース: International Monetary Fund
      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
      The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing. The global economy is undergoing major transformations,including a productivity slowdown, technological change, and global economic integration. This creates new demands for public policies to facilitate these transformations, while cushioning the effect on those negatively affected. Fiscal policy has a greater role to play in fostering sustainable and inclusive growth. At the same time, the high degree of uncertainty surrounding the outlook as well as stretched government balance sheets require a better understanding and management of risks. Fiscal policy therefore has the difficult task of achieving more and better in a more constrained environment.
    • 12月 2014
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2017
      データセットを選択
      The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
    • 4月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 5月, 2017
      データセットを選択
      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years.   Changes to the April 2017 DatabaseFrom December 2016 to January 2017, the Economic and Social Research Institute (ESRI) of Japan’s Cabinet Office released the results of the latest quinquennial benchmark year revision for the Japanese National Accounts. This comprehensive revision consisted of (i) incorporating large-scale, detailed source statistics, including the compilation of the 2011 Input-Output Tables; (ii) updating the reference year from 2005 to 2011; (iii) improving several estimation methodologies, including for measuring construction output; and (iv) updating definitions and classifications, in particular, implementing the 2008 System of National Accounts (2008 SNA). With this revision, the Japanese national accounts describe more accurately the evolution of the economy. The most significant change resulted from the implementation of the 2008 SNA. For instance, for the past three years (2013-15), the level of nominal GDP was revised upward by 5.0–6.3 percent, of which 4.3–4.8 percent was accounted for by the implementation of the 2008 SNA, including capitalization of research and development. The increase in GDP for the most recent year (2015) resulted not only from the benchmark year revision, but also from the incorporation of more detailed source statistics. Real GDP growth rates were also revised retrospectively. The mean absolute revision for the past 21 years (1995–2015) was relatively modest (0.4 percentage point), while the growth rates for the past three years were revised upward by 0.4–0.6 percentage point. The revisions of the annual rate of change of the GDP deflator were relatively limited, with a mean absolute revision of 0.1 percentage point, and do not change significantly the evolution of prices previously published for Japan.Nauru is the latest country added to the WEO data-base, expanding it to a total of 192 countries.Belarus redenominated its currency by replacing 10,000 old Belarusian rubles with 1 new Belarusian ruble. Local currency data for Belarus are expressed in the new currency starting with the April 2017 WEO database.
    • 11月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      BOPSY Global Tables aggregates country data by major balance of payments components and by international invetment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • 8月 2014
      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: 27 8月, 2014
      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.
    • 8月 2014
      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 8月, 2014
      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.
    • 8月 2014
      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 8月, 2014
      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.
    • 8月 2014
      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: 25 8月, 2014
      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.
    • 8月 2014
      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: 25 8月, 2014
      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.
    • 5月 2017
      ソース: U.S. Department of Homeland Security
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2017
      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: Knoema
      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.
    • 1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: 26 10月, 2016
      データセットを選択
    • 4月 2012
      ソース: Public Accountability Mechanisms
      アップロード者: Knoema
      データセットを選択
      Financial declarations or income and asset disclosures (IADs) are quickly becoming an important tool for anticorruption agencies and governments to fight corruption. IAD systems can play two important roles within a broader framework of good governance: prevention and enforcement. In an effort to discover how best to design and implement an IAD system, the analysis conducted suggests that countries ultimately must design a system that best complements the environment in which it will function. However, there are several key principles that policy makers and practitioners need to consider: limit the number of filers to improve the odds of success, set modest and achievable expectations, provide resources commensurate with the mandate, prioritize verification procedures to align with available resources, and balance privacy concerns with public access to declaration.
    • 12月 2016
      ソース: United States Patent and Trademark Office (USPTO)
      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.
    • 12月 2016
      ソース: Heritage Foundation
      アップロード者: Knoema
      以下でアクセス: 14 3月, 2017
      データセットを選択
      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.
    • 6月 2017
      ソース: Ministry of Statistics and Programme Implementation, Government of India
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2017
      データセットを選択
      This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 refered as 2001. Total Imports/exports includes other countries also.
    • 3月 2017
      ソース: Ministry of Statistics and Programme Implementation, Government of India
      アップロード者: Knoema
      以下でアクセス: 13 9月, 2017
      データセットを選択
      Indian Tourism Data, 2015 Source Details: India Tourism Statistics 2015 (12.27 MB)
    • 10月 2016
      ソース: Department of Census and Statistics, Sri Lanka
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2016
      データセットを選択
      Industrial Activity of Srilanka, 2015
    • 7月 2016
      ソース: United Nations Industrial Development Organization
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2016
      データセットを選択
      The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector for the period 1990 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.   Note: Value added and Employnment indicators were extracted from   http://www.unido.org/Data1/IndStatBrief/E_Employement_Wages_and_Employment_Share_per_Sector.cfm?print=no&ttype=C4&Country=ALB&sortBy=&sortDir=&Group=
    • 7月 2017
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 14 9月, 2017
      データセットを選択
    • 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: 30 3月, 2016
      データセットを選択
    • 12月 2014
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 04 9月, 2015
      データセットを選択
      Fertilizer prices paid by farmers are shown in local currency per metric tonne of plant nutrients (N, P2O5 and K2O) for straight fertilizers and per metric tonne of product for mixed and complex fertilizers. They generally refer to bagged fertilizers. Prices are shown with subsidies deducted wherever possible. Caution should be exercised in intercountry comparisons since pricing points, price policies, credit arrangements, etc. are not uniform.
    • 6月 2017
      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 6月, 2017
      データセットを選択
      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Breakdown of net premiums written in the reporting country in terms of domestic risks and foreign risks, thus providing an indicator of direct cross-border operations of insurance business.
    • 12月 2015
      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: 22 2月, 2017
      データセットを選択
      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Covers business written abroad by branches, agencies and subsidiaries established abroad of domestic undertakings and includes all business written outside the country by these entities (in both OECD and non-OECD countries).
    • 8月 2017
      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 8月, 2017
      データセットを選択
      This data deals with premiums written by classes of non-life insurance for the business written in the reporting country.
    • 5月 2017
      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: 04 5月, 2017
      データセットを選択
      Geographic coverage OECD countries, Selected African and Asian countries, Selected Latin American countries Institutional coverage The insurance industry is a key component of the economy by virtue of the amount of premiums it collects, the scale of its investment and, more fundamentally, the essential social and economic role it plays in covering personal and business risks. The "OECD Insurance Statistics" publication provides major official insurance statistics for all OECD countries. The reader will find information on the diverse activities of this industry and on international insurance market trends. The data, which are standardised as far as possible, are broken down under numerous sub-headings, and a series of indicators makes the characteristics of the national markets more readily comprehensible. This publication is an essential tool for civil servants, businessmen and academics working in the insurance field. Item coverage This part consists of tables by indicators, which reflect the most significant characteristics of the OECD insurance market. In most cases, the tables contain data of all OECD countries as well as aggregated "OECD", "EU15" (the 15 member countries of the European Union in 1995) and "NAFTA" data from 1983 to 2015, for the following categories: - life insurance, - non-life insurance - and total. The premiums amounts are converted from national currencies into US dollar. Exchange rates used are end-of-period exchanges rates for all variables valued at the end of the year, and period-average for variables representig a flow during the year.
    • 12月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2016
      データセットを選択
      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • 8月 2013
      ソース: ESPN Cricinfo
      アップロード者: Knoema
      以下でアクセス: 03 9月, 2013
      データセットを選択
      International Cricket Council Ranking List of 2013
    • 9月 2017
      ソース: Federal Reserve Bank of St. Louis
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2017
      データセットを選択
      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2017Aug/international-data-from-fred-monthly-update
    • 6月 2015
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 29 9月, 2015
      データセットを選択
      The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • 12月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 28 12月, 2016
      データセットを選択
      Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies (data from Quarterly External Debt Statistics and Quarterly Public Sector Debt databases). Includes over 200 time series indicators from 1970 to 2015, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2023. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
    • 7月 2017
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 12 9月, 2017
      データセットを選択
    • 7月 2017
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2017
      データセットを選択
      Data is by country and region including total and crude oil production, oil consumption, natural gas production and consumption, coal production and consumption, electricity generation and consumption, primary energy, energy intensity, CO2 emissions and imports and exports for all fuels.
    • 8月 2014
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 02 9月, 2015
      データセットを選択
      This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
    • 7月 2016
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2016
      データセットを選択
      This dataset is the basis for the International Food Security Assessment 2016-2026 released in June 2016. 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.
    • 7月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2012
      データセットを選択
      Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > Balance of payments of the EU institutions (bop_euins).
    • 12月 2016
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 26 12月, 2016
      データセットを選択
      This data set includes historical and projected annual data for real gross domestic product (GDP), population, real exchange rates, consumer price indices (CPIs) and GDP deflators for 189 countries, 37 regional aggregates, and 12 income-based aggregates of the world economy. The data are all measured in or centered on real 2010 dollar values. The data are organized by region in spreadsheets that are identical except for the variable name. The historical data and projections are updated annually.
    • 12月 2015
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2016
      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.
    • 3月 2017
      ソース: United Nations Development Programme
      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
    • 8月 2017
      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: 10 8月, 2017
      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.
    • 1月 2006
      ソース: Walter G. Park
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      International patent protection: 1960–2005 Walter G. Park ∗ Department of Economics, American University, 4400 Massachusetts Avenue NW, Washington, DC 20016, USA Received 24 October 2007; received in revised form 14 December 2007; accepted 29 January 2008 Available online 10 March 2008 http://fs2.american.edu/wgp/www/res_policy08.pdf
    • 1月 2017
      ソース: Property Rights Alliance
      アップロード者: Knoema
      以下でアクセス: 04 1月, 2017
      データセットを選択
      In order to make it possible to defend both physical and intellectual property rights of people, the Property Rights Alliance developed an instrument allowing comparison between the nations by relative strengths of property rights they provide for their citizens. This instrument, the International Property Rights Index, is published since 2007 helping policymakers to make better decisions. The Index comprises 130 countries, comparing them by three core variables, that affect the resulting index, namely country's legal and political environment, recognition and enforcement of physical and intellectual property rights.The overall grading scale of the IPRI ranges from 0 to 10, where 10 is the highest value for a property rights system and 0 is the lowest value (i.e. most negative) for a property rights system within a country..
    • 8月 2017
      ソース: International Monetary 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
      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
    • 6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: 22 7月, 2013
      データセットを選択
      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • 3月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2016
      データセットを選択
      Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
    • 3月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 18 4月, 2016
      データセットを選択
      Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
    • 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
    • 7月 2016
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 07 8月, 2017
      データセットを選択
      As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector - the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
    • 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
    • 11月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 24 11月, 2016
      データセットを選択
      Internet users are individuals who have used the Internet (from any location) in the last 12 months. Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
    • 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.
    • 6月 2012
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2015
      データセットを選択
      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • 11月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three dis aggregated sub sectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
    • 8月 2014
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2017
      データセットを選択
      FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series referring to the following items: tractors, harvesters and threshers, irrigation pumps, milking machines, hand tools, and soil machines. The database includes estimates of agriculture machinery in use and value of import and export of agriculture machinery.
    • 12月 2006
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 12月, 2016
      データセットを選択
    • 12月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2016
      データセットを選択
      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
    • 6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: 15 7月, 2016
      データセットを選択
      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • 10月 2016
      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 11月, 2016
      データセットを選択
      This table contains information on foreign direct investment (FDI) inflows and outflows by individual country, geographical region and economic grouping, expressed in millions of dollars. Additional calculations present: FDI world shares, FDI values per capita, and FDI percentage ratios with respect to GDP, gross fixed capital formation (GFCF), and total exports and imports of merchandise and services. This table also contains information on foreign direct investment (FDI) inward and outward stock by individual country, geographical region and economic grouping, expressed in millions of dollars, as FDI world shares, as FDI values per capita, and as FDI percentage ratios with respect to GDP
    • 7月 2014
      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: 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
    • 10月 2016
      ソース: Agriculture & Livestock Industries Corporation
      アップロード者: Knoema
      以下でアクセス: 18 10月, 2016
      データセットを選択
      Japan : Sugar Supply and Demand Balance, September 2016
    • 9月 2016
      ソース: Ministry of Economy, Trade and Industry of Japan
      アップロード者: Knoema
      以下でアクセス: 20 9月, 2016
      データセットを選択
      Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Comodities: Production, Shipment and Inventory).
    • 9月 2017
      ソース: Petroleum Association of Japan
      アップロード者: Knoema
      以下でアクセス: 13 9月, 2017
      データセットを選択
      Monthly data on crude oil imports by country and by oil type in Japan.
    • 3月 2011
      ソース: Japan External Trade Organization
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2016
      データセットを選択
      Market Reports Analytical reports on Japanese sectors categorized by industries and report titles. Section covers a wide range of products, services, business and industrial environments, regional enterprises, current market trends and more, with case studies and advice on market entry.
    • 12月 2016
      ソース: Japanese Shipowners' Association
      アップロード者: Knoema
      以下でアクセス: 25 1月, 2017
      データセットを選択
    • 8月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 14 9月, 2017
      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.
  • K
    • 1月 2011
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Karolina Kalkowska
      データセットを選択
    • 1月 2012
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2013
      データセットを選択
      The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.
  • L
    • 10月 2016
      ソース: Department of Census and Statistics, Sri Lanka
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2016
      データセットを選択
      Land Area, Administrative Divisions and Climate of Srilanka, 2015
    • 12月 2016
      ソース: Legatum Institute
      アップロード者: Knoema
      以下でアクセス: 06 2月, 2017
      データセットを選択
      The Prosperity Index is the only global measurement of national success based on both income and wellbeing. Our econometric analysis has identified 89 variables, which are spread across eight sub-indices. By measuring prosperity holistically we are able to identify and analyse the specific factors that contribute to the success of a country.
    • 9月 2017
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 08 9月, 2017
      データセットを選択
      Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
    • 3月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 13 10月, 2016
      データセットを選択
      The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
    • 6月 2015
      ソース: United Nations Economic Commission for Europe
      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
    • 6月 2015
      ソース: United Nations Economic Commission for Europe
      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
  • M
    • 3月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2017
      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.
    • 8月 2017
      ソース: Department of Statistics, Malaysia
      アップロード者: Knoema
      以下でアクセス: 14 9月, 2017
      データセットを選択
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 30 12月, 2016
      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 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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.
    • 7月 2014
      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, 2014
      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.
    • 12月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 08 12月, 2015
      データセットを選択
    • 12月 2016
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 09 1月, 2017
      データセットを選択
      Measuring the information society report presents a global overview of the latest developments in information and communication technologies (ICTs), based on internationally comparable data and agreed methodologies. It aims to stimulate the ICT policy debate in ITU Member States by providing an objective assessment of countries’ performance in the field of ICT and by highlighting areas that need further improvement. The ICT Development Index (IDI) is a composite index that combines 11 indicators into one benchmark measure. It is used to monitor and compare developments in information and communication technology (ICT) between countries and over time. The IDI is divided into the following three sub-indices, and a total of 11 indicators: Access sub-index: This sub-index captures ICT readiness, and includes five infrastructure and access indicators (fixed-telephone subscriptions, mobile-cellular telephone subscriptions, international Internet bandwidth per Internet user, households with a computer, and households with Internet access). Use sub-index: This sub-index captures ICT intensity, and includes three intensity and usage indicators (individuals using the Internet, fixed broadband subscriptions, and mobile-broadband subscriptions). Skills sub-index: This sub-index seeks to capture capabilities or skills which are important for ICTs. It includes three proxy indicators (mean years of schooling, gross secondary enrolment, and gross tertiary enrolment). As these are proxy indicators, rather than indicators directly measuring ICT-related skills, the skills sub-index is given less weight in the computation of the IDI than the other two sub-indices. The data has been normalized to ensure that the data set uses the same unit of measurement. The values for the indicators selected to construct the IDI are converted into the same unit of measurement, since some indicators have maximum value as 100 whereas for other indicators the maximum value exceeds 100 After normalizing the data, the individual series were all rescaled to identical ranges, from 1 to 10.
    • 10月 2016
      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: 07 3月, 2017
      データセットを選択
      This Dataset provides information on number of exported/imported products, concentration and diversification indices by country. The concentration index shows how exports and imports of individual countries or group of countries are concentrated on several products or otherwise distributed in a more homogeneous manner among a series of products. The diversification index signals whether the structure of exports or imports by product of a given country or group of countries differ from the structure of product of the world.1. Concentration index:Concentration index, also knows as Herfindahl-Hirschmann Index (Product HHI), is a measure of the degree of product concentration. An index value closer to 1 indicates a country's exports or imports are highly concentrated on a few products. On the contrary, values closer to 0 reflect exports or imports are more homogeneously distributed among a series of products.2. Diversification index:The diversification index is computed by measuring the absolute deviation of the trade structure of a country from world structure. The diversification index takes values between 0 and 1. A value closer to 1 indicates greater divergence of export and import from the world pattern. On the contrary closer to 0 indicates no divergence from the world pattern.
    • 4月 2017
      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: 05 9月, 2017
      データセットを選択
      This dataset shows the value of total exports (free on board - FOB) and imports (cost, insurance and freight - CIF), expressed in millions of dollars and percentages of the world total, of individual countries, geographical regions and selected economic groupings.
    • 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.
    • 6月 2017
      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: 24 7月, 2017
      データセットを選択
      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.
    • 6月 2017
      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: 27 7月, 2017
      データセットを選択
      This dataset presents merchandise trade by trading partner and product based on SITC, Rev.3 commodity classification (the most detailed level is two digit), expressed in thousands of dollars. In addition, data are also summarized by geographical region and economic grouping, for both reporting country and its trading partner, and by product grouping.
    • 11月 2016
      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 12月, 2016
      データセットを選択
      This table presents merchandise trade by trading partner expressed in thousands of dollars
    • 9月 2016
      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 11月, 2016
      データセットを選択
      Data on the world merchant fleet by flag of registration and by type of ship, highlighting the group of major open-registry countries. Data are presented in thousands of dead-weight tons (DWT), as world shares, and as percentages of a ship-type in an economy's fleet. Dead weight tonnage is a measure of how much vessels can transport.
    • 1月 2017
      ソース: Gobierno
      アップロード者: Knoema
      以下でアクセス: 04 1月, 2017
      データセットを選択
      Foreign Direct Investment (FDI) flows to Mexico, by country of origin, type of investment, economic sector and by state, by economic activity destination. FDI as a percentage of gross fixed capital formation. Unit: USD millions. Frequency: Quarterly. 1999-2016.
    • 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
    • 4月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 22 6月, 2017
      データセットを選択
      Migration and Remittances Factbook 2015 provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. Please note, 2016 for INWARD is an estimate.
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 17 8月, 2017
      データセットを選択
      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.
    • 7月 2017
      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 8月, 2017
      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.
    • 10月 2016
      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 11月, 2016
      データセットを選択
      This table presents most favoured nation (MFN) and effectively applied import tariff rates for major categories of non-agricultural and non-fuel products by individual country (as market economies) and economic grouping (as origins), expressed in various aggregation measures: simple average, weighted average, minimum and maximum rate, etc.
    • 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 2016
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      データセットを選択
      The Economic Statistics Branch of the United Nations Statistics Division maintains this National Accounts Statistics database of main national accounts aggregates. It is the product of a global cooperation effort between the United Nations Statistics Division, international statistical agencies and the national statistical services of more than 200 countries and is in accordance with the request of the Statistical Commission that the most recent available data on national accounts of as many countries and areas as possible be published and disseminated regularly. This National Accounts Statistics database contains a complete and consistent set of time series from 1970 onwards of main national accounts aggregates for allUN Members States and all other countries and areas in the world. It is maintained and updated on the basis of annual collections of the official annual national accounts statistics supplemented by estimates of national accounts statistics for those years and countries for which the official statistics has incomplete or inconsistent information. In addition, to the values of national accounts statistics, it contains analytical indicators and ratios derived from the main national accounts aggregates related to economic structure and development.
    • 2月 2017
      ソース: National Institute of Statistics and Censuses, Costa Rica
      アップロード者: Knoema
      以下でアクセス: 30 5月, 2017
      データセットを選択
    • 9月 2015
      ソース: Institute of Statistics and Economic Studies, Burundi
      アップロード者: Knoema
      以下でアクセス: 28 9月, 2015
      データセットを選択
    • 12月 2015
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2016
      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
    • 12月 2016
      ソース: Multiple Sources
      アップロード者: Knoema
      以下でアクセス: 31 3月, 2017
      データセットを選択
    • 8月 2017
      ソース: CBS StatLine databank
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2017
      データセットを選択
      1.Data Cited from https://opendata.cbs.nl/dataportaal/portal.html?_la=en&_catalog=CBS&tableId=37943eng&_theme=1042 2.Monthly statistics, size of the Dutch population and births, deaths, external migration, marriages, divorces and requests for asylum Since January 2010, a new production system has become operational to process municipal population data. As from 2010 onwards, with the introduction of the new system the following changes were implemented:- Provisional figures on live births by rank number and marital status of the mother will no longer be available. Definite figures will be added to the table on an annual basis;- Marriages will include registered partnerships; - Data on registered partnerships will be discontinued;- Married persons will include persons who have signed partnership contracts. An extra preceding marital status (married) has been added; - Marriage dissolutions will be presented including registered partnership dissolutions;- Divorced persons will be presented including legally terminated partnerships;- Data on persons who have moved house within the Netherlands will no longer be broken down by place in the household.
    • 9月 2006
      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: 24 9月, 2014
      データセットを選択
      New entrants to a level of education are students who are entering any programme leading to a recognised qualification at this level of education for the first time, irrespective of whether the students enter the programme at the beginning or at an advanced stage of the programme. Individuals who are returning to study at a level following a period of absence from studying at that same level are not considered to be new entrants. Foreign students who are enrolling for the first time in the country for which the data are reported are counted as new entrants, regardless of their previous education in other countries.
    • 12月 2010
      ソース: Friedrich Schneider
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2012
      データセットを選択
      Source: Schneider, Friedrich , Buehn, Andreas and Montenegro, Claudio E.(2010) 'New Estimates for the Shadow Economies all over the World', International Economic Journal, 24: 4, 443-461. This dataset presents estimations of the shadow economies for 162 countries, including developing, Eastern European, Central Asian, and high income OECD countries over 1999 to 2006/2007.
    • 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 2016
      ソース: The National Committee on North Korea (NCNK)
      アップロード者: Knoema
      以下でアクセス: 20 9月, 2017
      データセットを選択
    • 8月 2017
      ソース: Retail-Index
      アップロード者: Alexey Lopatin
      以下でアクセス: 14 8月, 2017
      データセットを選択
      Numbers of retailers (national head offices) in the online database "Retail-Index". The Retail-Index database contains data on the latest number of national and international retailers (chains) having minimal 5 stores or minimal €3 mln turnover in all major retail-sectors: food, fashion, consumer electronics, DIY & gardening and 14 other retail sectors. The total database contains over 8900 retail chains. Retail operations with several different formats and banners in one country are counted as one retailer. Some retailers are active in several sectors in which case there is some duplication in the numbers. The same goes for retailers active in several countries.
  • O
    • 11月 2016
      ソース: Ocean Health Index
      アップロード者: Knoema
      以下でアクセス: 03 1月, 2017
      データセットを選択
      Ocean Health Index, 2016
    • 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.
    • 8月 2016
      ソース: Wikipedia
      アップロード者: Knoema
      以下でアクセス: 16 9月, 2016
      データセットを選択
    • 10月 2016
      ソース: Open Data Watch
      アップロード者: Knoema
      以下でアクセス: 14 10月, 2016
      データセットを選択
      Score Type Options: Three sets of scores are available: raw, weighted, or standardized. Raw scores have values between 0 and 1 as recorded in the original assessment; subscores are simple totals. Weighted scores use a predefined weighting matrix; subscores are simple totals. Standardized scores are scaled from 0 to 100; subscores are weighted averages.
    • 6月 2017
      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 6月, 2017
      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.
    • 10月 2015
      ソース: International Monetary Fund
      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
      Commodity prices have declined sharply over the past three years, and output growth has slowed considerably among those emerging market and developing economies that are net exporters of commodities. A critical question for policymakers in these countries is whether commodity windfall gains and losses influence potential output or merely trigger transient fluctuations of actual output around an unchanged trend for potential output. The analysis in this chapter suggests that both actual and potential output move together with the commodity terms of trade but that actual output commoves twice as strongly as potential output. The weak commodity price outlook is estimated to subtract almost 1 percentage point annually from the average rate of economic growth in commodity exporters over 2015–17 as compared with 2012–14. In exporters of energy commodities, the drag is estimated to be larger: about 2¼ percentage points on average over the same period. The projected drag on the growth of potential output is about one-third of that for actual output.
    • 6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: 23 11月, 2016
      データセットを選択
      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • 1月 2014
      ソース: Oxfam
      アップロード者: Knoema
      以下でアクセス: 30 5月, 2014
      データセットを選択
      Around the world, one in eight people go to bed hungry every night, even though there is enough food for everyone. Our graph illustrates how overconsumption, misuse of resources and waste are common elements of a system that leaves hundreds of millions without enough to eat.
  • P
    • 12月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 12月, 2016
      データセットを選択
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 4月 2017
      ソース: Eurostat
      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
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • 9月 2017
      ソース: Passport Index
      アップロード者: Olga Porozova
      以下でアクセス: 13 9月, 2017
      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.
    • 10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: 22 8月, 2017
      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.
    • 12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: 23 8月, 2017
      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.
    • 12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: 23 8月, 2017
      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.
    • 12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: 22 8月, 2017
      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.
    • 11月 2012
      ソース: Center for International Comparisons at the University of Pennsylvania
      アップロード者: Knoema
      以下でアクセス: 10 12月, 2012
      データセットを選択
      The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010. Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
    • 2月 2012
      ソース: Center for International Comparisons at the University of Pennsylvania
      アップロード者: Knoema
      データセットを選択
      Benchmark data used in the component price level estimates for past PWTs. The published record of benchmark comparisons includes regional and world comparisons. These are described through 1985 in publications of the World Bank, including the published comparisons of the Penn group. The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010.  Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
    • 6月 2016
      ソース: University of Groningen
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2016
      データセットを選択
      PWT version 9.0 is a database with information on relative levels of income, output, inputs and productivity, covering 182 countries between 1950 and 2014.
    • 10月 2016
      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 12月, 2016
      データセットを選択
      The data presents time series on receipts and payments of personal remittances in millions of dollars. The data is also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP.Personal remittances is defined as the sum of two items: (1) compensation of employees, defined as the income of non-resident workers employed in an economy and of residents employed by nonresident employers; (2) personal (current) transfers, defined as current transfers in kind or in cash, between resident and nonresident households. These are the two items in the balance of payments framework that substantially relate to remittances. Both are standard components in the current account. A broader definition of personal remittances would also include capital transfers between resident and nonresident households. However, capital transfers is a supplementary component in the capital account. As a result data coverage on capital transfers is much sparse than the other two items.The data on compensation of employees, personal transfers and capital transfers between households have been collected by the IMF from national agencies or, in cases of non-availability, estimated by the IMF.
    • 9月 2016
      ソース: Political Terror Scale
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2016
      データセットを選択
      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.
    • 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
    • 3月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 3月, 2016
      データセットを選択
      The FAOSTAT PopSTAT module contains timeseries on population and economically active population. The series consist of both estimates and projections for different periods as available from the original sources, namely: Population data from the UN Population Division and the data refers to the UN Revision 2012. Long term series estimates and projects from 1961 to 2050. Economically active population from the ILO and the data refers to the 5th edition, revision 2009. Long term series estimates and projects from 1980 to 2020.
    • 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).
    • 10月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 22 12月, 2016
      データセットを選択
      The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
    • 10月 2016
      ソース: Department of Census and Statistics, Sri Lanka
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2016
      データセットを選択
      Poverty Indices of Srilanka, 2015
    • 12月 2016
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 02 3月, 2017
      データセットを選択
    • 10月 2016
      ソース: Department of Census and Statistics, Sri Lanka
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2016
      データセットを選択
      Price Indices of Srilanka, 2015
    • 6月 2017
      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: 19 7月, 2017
      データセットを選択
      Private transactions are those undertaken by firms and individuals resident in the reporting country.
    • 6月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 25 1月, 2017
      データセットを選択
      Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.
    • 2月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      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
    • 5月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2017
      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   Source: http://www.fao.org/faostat/en/#data/QAhttp://www.fao.org/faostat/en/#data/QLhttp://www.fao.org/faostat/en/#data/QP
    • 2月 2012
      ソース: Inter-American Development Bank
      アップロード者: Knoema
      データセットを選択
      Public Debt around the World: A New Dataset of Central Government Debt by Dany Jaimovich, Ugo Panizza. Inter-American Development Bank, Research Department, Working Paper 561, March 2006. Brief Description: Commonly used datasets on the level of public debt provide incomplete country and period coverage. It includes complete series of central government debt for 89 countries over the 1991-2005 period and for seven other countries for the 1993-2005 period. Years covered: 1991-2005.
  • Q
    • 1月 2017
      ソース: University of Gothenburg
      アップロード者: Knoema
      以下でアクセス: 20 4月, 2017
      データセットを選択
      In the QoG Standard CS dataset, data from and around 2013 is included. Data from 2013 is prioritized, however, if no data is available for a country for 2013, data for 2014 is included. If no data exists for 2014, data for 2012 is included, and so on up to a maximum of +/- 3 years.
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2017
      データセットを選択
      The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 04 8月, 2017
      データセットを選択
      Public Sector Debt Statistics (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected developing /emerging market countries (Czech Republic is an advanced economy; the rest of the advanced economies will be invited to participate in this initiative in 2012)The QPSD database includes country and cross-country tables, and enables users to query and extract data, by country, group of countries, and specific public debt components. The data represent the following sectors on an as-available basis: General government; o/w Central government; o/w Budgetary central government; Non financial public corporations and Financial public corporations and a table presenting the total public sector debt.
  • R
    • 3月 2010
      ソース: International Institute for Applied Systems Analysis
      アップロード者: Knoema
      以下でアクセス: 31 10月, 2013
      データセットを選択
      Using demographic multi-state, cohort-component methods, projections for 120 countries (covering 93% of the world population in 2005) by five-year age groups, sex, and four levels of educational attainment for the years 2005-2050 are produced. Taking into account differentials in fertility and mortality by education level, the first systematic global educational attainment projections according to four widely differing education scenarios are presented. The results show the possible range of future educational attainment trends around the world, thereby contributing to long-term economic and social planning at the national and international levels, and to the assessment of the feasibility of international education goals. Samir KC et al., Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, Demographic Research, 22(15), P. 383-472, 16 March 2010: http://www.demographic-research.org/Volumes/Vol22/15/.
    • 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
    • 4月 2017
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2017
      データセットを選択
    • 9月 2017
      ソース: Reserve Bank of Australia
      アップロード者: Knoema
      以下でアクセス: 07 9月, 2017
      データセットを選択
      Reserve Bank of Australia Assets and Liabilities
    • 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: 27 12月, 2016
      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.
    • 10月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2016
      データセットを選択
      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labour, 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: labour, land and capital. Qualitative differences are important for each but are particularly difficult to summarise in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • 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: 30 12月, 2016
      データセットを選択
      UN FAO Resource Statistics - Pesticides Consumption The Pesticides (use) database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available
    • 7月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2016
      データセットを選択
    • 11月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 23 11月, 2016
      データセットを選択
      Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 2月, 2017
      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.
    • 4月 2017
      ソース: Global Finance Magazine
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2017
      データセットを選択
  • S
    • 3月 2017
      ソース: Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2017
      データセットを選択
      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • 2月 2017
      ソース: Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2017
      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.
    • 12月 2013
      ソース: IndexMundi
      アップロード者: Knoema
      以下でアクセス: 16 12月, 2013
      データセットを選択
      Sheath Contraceptives of Vulcanised Rubber Exports
    • 3月 2017
      ソース: Stockholm International Peace Research Institute
      アップロード者: Knoema
      以下でアクセス: 26 5月, 2017
      データセットを選択
      Military expenditure in local currency at current prices is presented according to the financial year of each country. Figures in constant (2014) US$ and as a share of GDP are present 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. SIPRI military expenditure data is based on open sources only, including a SIPRI questionnaire which is sent out annually to all countries included in the database. The collected data is processed to achieve consistent time series which are, as far as possible, in accordance with the SIPRI definition of military expenditure, detailed in the sources and methods.
    • 8月 2015
      ソース: Scimago Lab
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2015
      データセットを選択
    • 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).
    • 6月 2017
      ソース: Social Progress Imperative
      アップロード者: Knoema
      以下でアクセス: 29 6月, 2017
      データセットを選択
      The Social Progress Index is an aggregate index of social and environmental indicators that capture three dimensions of social progress: Basic Human Needs, Foundations of Wellbeing, and Opportunity. The 2017 Social Progress Index includes data from 128 countries on 50 indicators.
    • 7月 2013
      ソース: Asian Development Bank
      アップロード者: Knoema
      以下でアクセス: 05 7月, 2013
      データセットを選択
      Social Protection Index, 2013
    • 3月 2012
      ソース: Department of Census and Statistics, Sri Lanka
      アップロード者: Knoema
      以下でアクセス: 30 12月, 2013
      データセットを選択
      Please visit to https://knoema.com/atlas/sources/Department-of-Census-and-Statistics-Sri-Lanka for latest data.  
    • 10月 2016
      ソース: Department of Census and Statistics, Sri Lanka
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2017
      データセットを選択
      Srilanka: Employment Statistics
    • 8月 2016
      ソース: Actionable Governance Indicators Data Portal
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2016
      データセットを選択
      Statistical Capacity Indicator has three dimensions:a). Statistical Methodology b). Source data and c). Periodicity and timeliness. For each dimension, a country is scored against specific criteria, using information available from the World Bank, IMF, UN, UNESCO, and WHO. A composite score for each dimension is calculated by adding criteria scores, ranges from 0 to 1, and multiplying by 10. And an overall score combining all three dimensions are derived for each country on a scale of 0-100 by taking average of these three dimensions. A score of 100 indicates that the country meets all the criteria.The first dimension, statistical methodology, Countries are evaluated against a set of criteria such as use of an updated national accounts base year, use of the latest BOP manual, external debt reporting status, subscription to IMF’s Special Data Dissemination Standard, and enrolment data reporting to UNESCO.The second dimension, source data, reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available and reliable for statistical estimation purposes. Specifically, the criteria used are the periodicity of population and agricultural censuses, the periodicity of poverty and health related surveys, and completeness of vital registration system coverage.The third dimension, periodicity and timeliness, looks at the availability and periodicity of key socioeconomic indicators, of which nine are MDG indicators. This dimension attempts to measure the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. Criteria used include indicators on income poverty, child and maternal health, HIV/AIDS, primary completion, gender equality, access to water and GDP growth.
    • 11月 2016
      ソース: World Steel Association
      アップロード者: Knoema
      以下でアクセス: 13 12月, 2016
      データセットを選択
      Worldsteel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from (1991 - 2015) on crude steel production by process, steel production by product, steel trade by product, apparent steel use, and production of pig iron and directly reduced iron. It also includes data on production and trade of iron ore and trade of scrap as well as data on indirect exports and imports of steel and true steel use. The statistics were collected from members of worldsteel and various international organisations.
    • 9月 2017
      ソース: Investing.com
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2017
      データセットを選択
      Stock Market Performance Indices
    • 9月 2014
      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: 04 10月, 2014
      データセットを選択
      For data aligned to Finance, the year shown is the calendar year. For data aligned to personnel, the year shown is the year in which the end of the school year falls (e.g. 2002 refers to the school year 2001/2002), with the exceptions of Korea where the year refers to the year in which the school year begins and Australia and New Zealand where the school academic year corresponds to the calendar year.
    • 9月 2014
      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 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). Exceptions to this may be required: at the pre-primary level of education a gradual inflow may exist and, therefore, an average over several counting dates may be preferable. At the tertiary level the enrolment of students may not be stable enough at the beginning of the academic year and therefore a count at a later point may be preferable. Adult education programmes cover the learning activity of those returning to education after having left initial (or "regular") education. Only programmes (of at least one semester) that are similar to regular education (in subject content or potential qualifications) are included. In some countries, there are, in addition, adult education that are not similar to regular education; these programmes are not included.
    • 9月 2014
      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 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). Exceptions to this may be required: at the pre-primary level of education a gradual inflow may exist and, therefore, an average over several counting dates may be preferable. At the tertiary level the enrolment of students may not be stable enough at the beginning of the academic year and therefore a count at a later point may be preferable. Adult education programmes cover the learning activity of those returning to education after having left initial (or "regular") education. Only programmes (of at least one semester) that are similar to regular education (in subject content or potential qualifications) are included. In some countries, there are, in addition, adult education that are not similar to regular education; these programmes are not included.
    • 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
    • 12月 2013
      ソース: DatabaseSports
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2013
      データセットを選択
      Summer Olympics
    • 12月 2013
      ソース: DatabaseSports
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2013
      データセットを選択
      Summer Olympics
    • 5月 2017
      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: 13 6月, 2017
      データセットを選択
    • 6月 2017
      ソース: Sustainable Development Solutions Network
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2017
      データセットを選択
    • 7月 2017
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 08 9月, 2017
      データセットを選択
      On 1 January 2016, the world officially began implementation of the 2030 Agenda for Sustainable Development—the transformative plan of action based on 17 Sustainable Development Goals—to address urgent global challenges over the next 15 years. The Sustainable Development Goals Database in UNdata presents data for the global SDG indicators that were compiled through the UN System in preparation for the Secretary-Generals annual report on “Progress towards the Sustainable Development Goals”. The data series respond to the global indicator framework that was agreed, as a starting point, by the Statistical commission at its forty-seventh session in March 2016. The database contains SDG indicator series and additional indicator series. The list of SDG indicators is subject to refinement by the United Nations Statistical Commission.
    • 9月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2016
      データセットを選択
      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.
    • 6月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 26 12月, 2016
      データセットを選択
      Synthetic FertilizersGreenhouse 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
    • 2月 2012
      ソース: International Monetary Fund
      アップロード者: Knoema
      データセットを選択
      This database covers the universe of systemic banking crises for the period 1970-2009, and also includes data on the resolution and fiscal and economic costs of banking crises. Note: Laeven, Luc and Fabian Valencia, 2010, Resolution of Banking Crises: The Good, the Bad, and the Ugly, IMF working paper 10/146.
  • T
    • 10月 2016
      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 12月, 2016
      データセットを選択
      This table provides information on terms of trade and purchasing power indices which are calculated at the level of individual countries, geographical regions, and economic groupings. See notes below for explanations of each indicator.
    • 4月 2013
      ソース: Chinn-Ito Index
      アップロード者: Knoema
      以下でアクセス: 04 8月, 2013
      データセットを選択
      The Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index wasinitially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  
    • 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
    • 7月 2017
      ソース: The Economist
      アップロード者: Knoema
      以下でアクセス: 04 8月, 2017
      データセットを選択
    • 9月 2016
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 19 10月, 2016
      データセットを選択
      The World Economic Forum’s Centre for Global Competitiveness and Performance through its Global Competitiveness Report and report series, aims to mirror the business operating environment and competitiveness of over 140 economies worldwide. The report series identify advantages as well as impediments to national growth thereby offering a unique benchmarking tool to the public and private sectors as well as academia and civil society.The Centre works with a network of Partner Institutes as well as leading academics worldwide to ensure the latest thinking and research on global competitiveness are incorporated into its reports.
    • 12月 2013
      ソース: Transparency International
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2014
      データセットを選択
      Global Corruption Barometer is the largest world-wide public opinion survey on corruption - See more at: http://www.transparency.org/gcb2013/in_detail#sthash.hey9okGH.dpuf
    • 3月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      データセットを選択
      The Enabling Trade Index (ETI) was developed within the context of the World Economic Forum’s Transportation Industry Partnership program, and was first published in The Global Enabling Trade Report 2008. The ETI measures the extent to which individual economies have developed institutions, policies, and services facilitating the free flow of goods over borders and to destination. The structure of the Index reflects the main enablers of trade, breaking them into four overall issue areas, captured in the subindexes: 1) The market access subindex measures the extent to which the policy framework of the country welcomes foreign goods into the economy and enables access to foreign markets for its exporters. 2) The border administration subindex assesses the extent to which the administration at the border facilitates the entry and exit of goods. 3) Infrastructure subindex takes into account whether the country has in place the transport and communications infrastructure necessary to facilitate the movement of goods within the country and across the border. 4) The business environment subindex looks at the quality of governance as well as at the overarching regulatory and security environment impacting the business of importers and exporters active in the country. Each of these four subindexes is composed in turn of a number of pillars of enabling trade, of which there are seven in all. These are: 1) Domestic market access; 2) Foreign market access; 3) Efficiency and transparency of border administration; 4) Availability and quality of transport infrastructure; 5) Availability and quality of transport services; 6) Availability and use of ICTs; 7) Operating environment. Each indicator and sub-indicator is given a score on a scale of 1 to 7 that corresponds to the worst and best possible outcome, respectively.
    • 6月 2017
      ソース: Oxford Poverty & Human Development Initiative
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2017
      データセットを選択
      The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators (see left), the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics. This makes it invaluable as an analytical tool to identify the most vulnerable people – the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively. The global MPI was developed by OPHI with the UN Development Programme (UNDP) for inclusion in UNDP’s flagship Human Development Report in 2010. It has been published in the HDR ever since.   Table: 1.1-2.3 , 3.1-4.3 , 5.1-5.4
    • 12月 2016
      ソース: Walk Free Foundation
      アップロード者: Knoema
      以下でアクセス: 09 1月, 2017
      データセットを選択
      This is the second edition of 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?
    • 9月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2017
      データセットを選択
    • 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.
    • 12月 2015
      ソース: International Benchmarking Network for Water and Sanitation Utilities
      アップロード者: Knoema
      以下でアクセス: 12 1月, 2016
      データセットを選択
    • 9月 2015
      ソース: International Budget Partnership
      アップロード者: Knoema
      以下でアクセス: 09 6月, 2016
      データセットを選択
      The Open Budget Index assigns countries covered by the Survey a transparency score on a 100-point scale using 92 questions from the Survey — these questions focus specifically on whether the government provides the public with timely access to comprehensive information contained in eight key budget documents. The Open Budget Index measures the overall commitment of countries to transparency and allows for comparisons among countries.
    • 12月 2016
      ソース: World Justice Project
      アップロード者: Knoema
      以下でアクセス: 25 1月, 2017
      データセットを選択
      The World Justice Project (WJP) Rule of Law Index® is a quantitative assessment tool designed by the World Justice Project to offer a detailed and comprehensive picture of the extent to which countries adhere to the rule of law in practice.Factors of the WJP Rule of Law Index include:1. Constraints on Government Powers2. Absence of Corruption3. Open Government4. Fundamental Rights5. Order and Security6. Regulatory Enforcement7. Civil Justice8. Criminal Justice(Data is collected for a 9th factor, Informal Justice, but it is not included in aggregated scores and rankings. This is due to the complexities of these systems and the difficulties in measuring their fairness and effectiveness in a matter that is both systematic and comparable across countries.)Every year WJP collects data from representative samples of the general public and legal professionals to compute the index scores. The data, once collected, are carefully processed to arrive at country-level scores. The respondent level data is first edited to exclude partially-completed surveys, suspicious data, and outliers. Individual answers are then mapped on to the 44 sub-factors of the index. Answers are coded so that all values fall between 0 (least rule of law) and 1 (most rule of law), and aggregated at country level using the simple, or unweighted, average of all respondents.For elaborations on the factors included in the index please visit: http://worldjusticeproject.org/rule-of-law-index/
    • 2月 2015
      ソース: Keele University
      アップロード者: Knoema
      以下でアクセス: 24 4月, 2015
      データセットを選択
      This water poverty index is a first pass at trying to establish an international measure comparing performance in the water sector across countries in a holistic way that brings in the diverse aspects and issues that are relevant. It does seem to give some sensible results but it does not pretend to be definitive nor offer a totally accurate measure of the situation.
    • 10月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2016
      データセットを選択
      Global data on individuals, firms, and the business environments.
    • 6月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2015
      データセットを選択
    • 6月 2017
      ソース: The World Wealth and Income Database
      アップロード者: Knoema
      以下でアクセス: 21 6月, 2017
      データセットを選択
    • 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
      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 againstwomen, environment, and poverty. In each area, a life-cycle approach is introduced to revealthe experiences of women and men during different periods of life—from childhood and theformative years, through the working and reproductive stages, to older ages.The statistics and analyses presented in the following pages are based on a comprehensive andcareful 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 theavailability of statistics, new and emerging methodological developments, and areas demandingfurther attention from the international community
    • 8月 2012
      ソース: Bloomberg
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2012
      データセットを選択
      To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.
    • 10月 2011
      ソース: Pacific Institute
      アップロード者: Knoema
      データセットを選択
      Water is one of our most critical resources, but around the world it is under threat. Worldwater.org is dedicated to providing information and resources to help protect and preserve fresh water around the globe.
    • 12月 2013
      ソース: Strategy&
      アップロード者: Knoema
      以下でアクセス: 24 12月, 2013
      データセットを選択
    • 10月 2016
      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: 20 10月, 2016
      データセットを選択
      This table provides estimates from 1950 to 2015 and projections from 2016 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
    • 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.
    • 6月 2017
      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 6月, 2017
      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.
    • 2月 2017
      ソース: World Intellectual Property Organization
      アップロード者: Knoema
      以下でアクセス: 24 8月, 2017
      データセットを選択
      Zaire, officially the Republic of Zaire, was the name of Democratic Republic of the Congo between 1971 and 1997
    • 8月 2006
      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 9月, 2014
      データセットを選択
      For non-EU countries, UNESCO-OECD-Eurostat (UOE) data collection on education statistics, compiled on the basis of national administrative sources, reported by Ministries of Education or National Statistical Offices. For EU countries, Eurostat data.
    • 6月 2017
      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 6月, 2017
      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.
    • 3月 2017
      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: 25 5月, 2017
      データセットを選択
      Tourism & Transport Statistics of Moldova, 2015
    • 1月 2017
      ソース: TRACE International
      アップロード者: Knoema
      以下でアクセス: 23 1月, 2017
      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.'
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 29 2月, 2016
      データセットを選択
    • 12月 2009
      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: 15 5月, 2013
      データセットを選択
      Trade Data of Liberia, 2010
    • 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: 03 6月, 2014
      データセットを選択
      This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
    • 4月 2017
      ソース: Pew Research Center
      アップロード者: Knoema
      以下でアクセス: 05 7月, 2017
      データセットを選択
      Levels of restrictions on religionGovernment Restrictions IndexVery high- 6.6 to 10.0High- 4.5 to 6.5Moderate - 2.4 to 4.4Low- 0.0 to 2.3Social Hostilities IndexVery high- 7.2 to 10.0High- 3.6 to 7.1Moderate- 1.5 to 3.5Low- 0.0 to 1.4
  • U
    • 1月 2016
      ソース: National Science Foundation
      アップロード者: Knoema
      以下でアクセス: 31 3月, 2016
      データセットを選択
      Data collected from table 5-25 to 5-54, 5-58
    • 10月 2016
      ソース: Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 18 11月, 2016
      データセットを選択
      U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2015
    • 9月 2017
      ソース: U.S. Department of the Treasury
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2017
      データセットを選択
    • 9月 2017
      ソース: U.S. Department of the Treasury
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2017
      データセットを選択
      U.S. Financial Firms Liabilities: Data by Type, Country and Region
    • 3月 2017
      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: 30 3月, 2017
      データセットを選択
    • 8月 2017
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 11 8月, 2017
      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).
    • 12月 2011
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 19 12月, 2011
      データセットを選択
      The global database for merchandise trade statistics: groups 01-24 (4 digit level of HS Classification)
    • 9月 2017
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2017
      データセットを選択
    • 10月 2016
      ソース: United Nations Public Administration Country Studies
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2016
      データセットを選択
      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 2017
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 25 8月, 2017
      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.
    • 12月 2016
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 07 2月, 2017
      データセットを選択
      The Energy Statistics Database contains basic statistics for more than 215 countries/territories. Currently, the database provides time series for the period 1950-2009 and is updated annually during the period October-November.The Energy Statistics Database provides statistics on production, trade, transformation and consumption (end-use) for primary and secondary, conventional, non-conventional and new and renewable sources of energy, as well as population estimates to enable the calculation of per capita indicators. The database contains data in their original units (e.g. metric tonnes, GWh) and also calorific values to allow interfuel comparison in a common energy unit (terajoules). The main source of information for the Energy Statistics Database is the UNSD Annual Questionnaire on Energy Statistics. Additional sources of information for the database include national, regional and international statistical publications (including, but not limited to publications from: the International Energy Agency (OECD/IEA), the Statistical Office of the European Communities (Eurostat), the International Atomic Energy Agency (IAEA), the Organization of the Petroleum Exporting Countries (OPEC), the Organización Latinoamericana de Energía (OLADE), etc.). The Statistics Division prepares estimates where official data are incomplete or inconsistent.
    • 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
    • 5月 2016
      ソース: United Nations Environment Programme
      アップロード者: Knoema
      以下でアクセス: 09 6月, 2016
      データセットを選択
    • 6月 2015
      ソース: United Nations Environment Programme
      アップロード者: Knoema
      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.
    • 7月 2017
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 03 8月, 2017
      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.
    • 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 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 2016
      ソース: DevInfo
      アップロード者: Knoema
      以下でアクセス: 15 12月, 2016
      データセットを選択
      This database contains country-reported GARPR data and Spectrum estimates (unrounded version for graphing purposes)
    • 11月 2016
      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: 16 12月, 2016
      データセットを選択
    • 10月 2016
      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: 17 2月, 2017
      データセットを選択
      This dataset contains short-term prospects for the global economy in 2017-2018   Project LINK is an international collaborative research group for econometric modelling, coordinated jointly by the Development Policy and Analysis Division of UN/DESA and the University of Toronto. Each year, a UN/DESA Expert Group Meeting on the World Economy, also known as the Project LINK Meeting, is held in October to discuss the world economic outlook. The meeting is participated in by a wide range of experts from academia, economic research institutions and international economic organizations as well as United Nations colleagues from the regional commissions of ECA, ECE, ECLAC, ESCAP and ESCWA. Global Economic Outlook presents the short-term prospects for the global economy in 2016 and 2017, including major risks and policy challenges. The report draws on inputs from the experts of Project LINK, as well as analysis of staff in the Global Economic Monitoring Unit of the Development Policy and Analysis Division (DPAD) of UN/DESA.
    • 6月 2010
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      データセットを選択
      Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
    • 12月 2016
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2017
      データセットを選択
      Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
    • 12月 2016
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2017
      データセットを選択
      Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
    • 12月 2016
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2017
      データセットを選択
      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • 1月 2016
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2016
      データセットを選択
      The latest information on drug production and prices from United Nations Office on Drugs & Crime (UNODC)
    • 1月 2017
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2017
      データセットを選択
      UNSD 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.
    • 10月 2016
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 15 3月, 2017
      データセットを選択
      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable.
    • 12月 2010
      ソース: U.S. Census Bureau
      アップロード者: Knoema
      データセットを選択
      As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector - the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
    • 9月 2011
      ソース: U.S. Census Bureau
      アップロード者: Knoema
      データセットを選択
      As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector -the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
    • 1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: 14 3月, 2017
      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.
    • 9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: 14 9月, 2017
      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.
  • V
  • W
    • 5月 2012
      ソース: International Labour Organization
      アップロード者: Knoema
      データセットを選択
      Wages and Employment
    • 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
    • 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
    • 12月 2016
      ソース: EarthEcho Water Challenge
      アップロード者: Knoema
      以下でアクセス: 25 8月, 2017
      データセットを選択
      The pH of pure water is 7. In general, water with a pH lower than 7 is considered acidic, and with a pH greater than 7 is considered basic. The normal range for pH in surface water systems is 6.5 to 8.5, and the pH range for groundwater systems is between 6 to 8.5.
    • 1月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2017
      データセットを選択
      Wealth Accounting supplements macroeconomic indicators, such as Gross Domestic Product (GDP), by measuring the comprehensive wealth of a country. While changes in GDP tell us if growth is occurring, changes in wealth (i.e., saving rate) tell us if growth is sustainable-that is, whether it is long-term. So, just as private companies are assessed by looking at both income and balance sheets, countries need to start accounting for wealth and not just income. For the past 15 years, the World Bank’s Environment and Natural Resources Global Practice has implemented a program to systematically measure comprehensive wealth, to include natural resources, human, and social capital, along with physical capital. This work program provides indicators that measure the sustainability of a country’s growth path: some indicators are published annually, such as Adjusted Net Saving (ANS) and adjusted Net National Income (aNNI), while the comprehensive wealth accounts were published in 2011. Related annual indicators also include natural resource rents, which underlie the wealth accounting data.
    • 4月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 21 4月, 2017
      データセットを選択
      The rise of travel and tourism has shown significant resilience globally. Despite slow economic growth in advanced economies and geopolitical tensions in some regions, the T&T sector still accounts for a large part of the global economy (estimated to be approximately 9% of global GDP or US$ 7 trillion) and employment,while the number of international travellers continues to increase. According to the World Travel & Tourism Council (WTTC), the T&T sector is forecast to continue growing at 4% annually—faster than financial services,transport and manufacturing
    • 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.
    • 10月 2015
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 08 12月, 2015
      データセットを選択
    • 3月 2012
      ソース: World Health Organization
      アップロード者: Knoema
      データセットを選択
      The WHO Statistical Information System is the guide to health and health-related epidemiological and statistical information available from the World Health Organization.
    • 12月 2016
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2017
      データセットを選択
      The "World Malaria Report 2016" draws on data from 91 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 2015
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2015
      データセットを選択
      The WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation is the official United Nations mechanism tasked with monitoring progress towards the Millennium Development Goal (MDG) relating to drinking-water and sanitation (MDG 7, Target 7c), which is to: "Halve, by 2015, the proportion of people without sustainable access to safe drinking-water and basic sanitation".
    • 10月 2012
      ソース: World Wide Fund for Nature
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2016
      データセットを選択
      Domestic ivory market score: Scores range from –4, indicating no or very small, highly-regulated domestic ivory markets and carving industries, to 20, indicating extremely large, completely unregulated domestic ivory markets and carving industries. As described in CoP13 Doc.29,2 Annex, this component is based upon a cumulative scoring system which tracks the relative scale of the retail-level trade, the degree of control over such trade, and the status of ivory carving.Law enforcement effort ratio: Number of in-country seizures divided by total number of seizures linked to that country 1999-2010. Total weight of recent ivory seizures: Total weight of ivory seizures linked to that country 1999-2010.Organized crime indicator: Percentage of seizure cases linked to that country 1999-2010 of more than 1,000 kg in weight, indicative of involvement of organized crime in the movement of ivory.
    • 12月 2016
      ソース: Climatescope
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2017
      データセットを選択
      World : Electricity Prices
    • 9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: 13 9月, 2017
      データセットを選択
      World : Rice Area, Yield and Production
    • 3月 2012
      ソース: World Bank
      アップロード者: Knoema
      データセットを選択
      The Investing Across Borders (IAB) indicators assess laws, regulations, and practices that affect foreign direct investment (FDI). The project’s methodology is based on that of the World Bank Group’s Doing Business project. The indicators highlight differences among countries in their regulatory treatment of FDI to identify good practices, facilitate learning opportunities, stimulate reforms, and provide annual cross-country data for research and analysis. The indicators are based on a survey of lawyers, professional service providers (mainly accounting and consulting firms), investment promotion institutions, chambers of commerce, law professors, and other expert respondents in the countries covered. For the IAB 2010 report, more than 2,350 respondents were surveyed in 87 economies (27 per country, on average) between April and December 2009. List of all respondents is available under the local partners.
    • 3月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 10 3月, 2017
      データセットを選択
      World Bank Annual Report https://finances.worldbank.org/browse?tags=balance+sheet&q=IBRd&sortBy=relevance&utf8=%E2%9C%93
    • 8月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 04 8月, 2017
      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.
    • 11月 2011
      ソース: World Bank
      アップロード者: Knoema
      データセットを選択
      Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.
    • 4月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2017
      データセットを選択
      A World Bank Report on Commodity Markets Outlook, 2017 April
    • 10月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 26 10月, 2016
      データセットを選択
      Doing Business 2017: Equal Opportunity for All, a World Bank Group flagship publication, is the 14th in a series of annual reports measuring the regulations that enhance business activity and those that constrain it. Doing Business presents quantitative indicators on business regulations and the protection of property rights that can be compared across 190 economies—from Afghanistan to Zimbabwe—and over time. Doing Business measures regulations affecting 11 areas of the life of a business. Ten of these areas are included in this year’s ranking on the ease of doing business: starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts and resolving insolvency. Doing Business also measures labor market regulation, which is not included in this year’s ranking. Data in Doing Business 2017 are current as of June 1, 2016. The indicators are used to analyze economic outcomes and identify what reforms of business regulation have worked, where and why.
    • 9月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 12 9月, 2017
      データセットを選択
      The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
    • 1月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 19 1月, 2017
      データセットを選択
    • 2月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 05 11月, 2015
      データセットを選択
      The Trade in Services Database provides information on annual bilateral services trade flows in Mode 1 (cross-border trade) and Mode 2 (consumption abroad) for 199 countries across a multitude of sectors and years spanning 1985 and 2011. The collection of data on cross-border trade in services is notoriously difficult, in large part due to the intangible nature of services but also the high capacity needed to record such data. This is particularly true for developing countries. This database tries to fill this gap by consolidating multiple sources of bilateral trade data in services using mirror techniques, including the OECD, Eurostat, UN and IMF, as to provide a broader coverage of developed and developing countries over time. Mirror-technique is a method to retrieve export trade flows of a reporter by using information on imports of the partner country.
    • 6月 2014
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2017
      データセットを選択
      The paper associated with this dataset analyzes theoretically and empirically the impact of comparative advantage in international trade on fertility. It builds a model in which industries differ in the extent to which they use female relative to male labor and countries are characterized by Ricardian comparative advantage in either female labor or male labor intensive goods. The values of "Share of Female Workers in Total Employment by Sectors" are reported for the full country sample, and OECD and non-OECD separately. The values of "Female Labor Needs of Exports" by country and 5-year interval. The "Year" denotes the beginning of a 5-year period, i.e., year = 1960 denotes an average over 1960-1964
    • 6月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 23 6月, 2017
      データセットを選択
      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.
    • 6月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2017
      データセットを選択
      The G20 Basic Set of Financial Inclusion data repository includes detailed data from users and providers of financial services. The Basic Set measures both access to financial services (“supply-side” data) and usage of services (“demand-side” data). The Basic Set covers both individuals and small and medium sized enterprises (SME’s) and includes data from three sources and 192 countries. The five basic set indicators are as follows: 1.The percentage of adults with a formal account; 2. The percentage of adults that use formal credit; 3. The percentage of SME’s with a formal account; 4. The percentage of SME’s that use formal credit; and 5. Bank branch penetration.
    • 4月 2011
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 28 8月, 2017
      データセットを選択
      The Services Trade Restrictions Database collects information on applied services trade policies across 103 countries, 18 services sectors (covering telecommunications, finance, transportation, retail and professional services) and key modes of service supply. It contains qualitative policy information as well as a preliminary quantification of applied measures' restrictiveness. Data Coverage 2008 - 2011
    • 6月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2017
      データセットを選択
      The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Novy 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.
    • 4月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2017
      データセットを選択
      WITS is a trade software tool giving access to bilateral trade between countries based on various product classifications, product details, years, and trade flows. It also contains tariff and non-tariff measures data, as well as analysis tool to calculate effects of tariff reductions. In addition, users have access to many visualization tools.
    • 10月 2013
      ソース: World Chess Federation
      アップロード者: Knoema
      以下でアクセス: 07 10月, 2013
      データセットを選択
      Country rank by average rating of top 10 players
    • 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.
    • 1月 2016
      ソース: China Association of Automobile Manufacturers
      アップロード者: Knoema
      以下でアクセス: 19 5月, 2016
      データセットを選択
      Car Sales by Country 2014
    • 8月 2017
      ソース: World Steel Association
      アップロード者: Knoema
      以下でアクセス: 25 8月, 2017
      データセットを選択
      The World Steel Association (worldsteel) collects crude steel production data from 66 countries. These 66 countries accounted for approximately 99% of total world crude steel production in 2015. 
    • 7月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2017
      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
    • 12月 2016
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2016
      データセットを選択
    • 12月 2016
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2016
      データセットを選択
    • 1月 2017
      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: 23 2月, 2017
      データセットを選択
      The report is a joint product of the United Nations Department of Economic and Social Affairs (UN/DESA), the United Nations Conference on Trade and Development (UNCTAD) and the five United Nations regional commissions (Economic Commission for Africa (ECA), Economic Commission for Europe (ECE), Economic Commission for Latin America and the Caribbean (ECLAC), Economic and Social Commission for Asia and the Pacific (ESCAP) and Economic and Social Commission for Western Asia (ESCWA)). For further information, see http://www.un.org/en/development/desa/policy/wesp/index.shtml
    • 12月 2016
      ソース: International Energy Agency
      アップロード者: Knoema
      以下でアクセス: 17 1月, 2017
      データセットを選択
      World wide 1.3 billion people – a population equivalent to that of the entire OECD – continue to live without access to electricity. This is equivalent to 18% of the global population and 22% of those living in developing countries. Nearly 97% of those without access to electricity live in sub-Saharan Africa and developing Asia. The latest estimate for sub-Saharan Africa has been revised up by 22 million, illustrating how rapid population growth can continue to outpace the rate of electrifi