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Indonésia

  • Presidente:Joko Widodo
  • Vice-Presidente:Jusuf Kalla
  • Capital:Jakarta
  • Línguas:Bahasa Indonesia (official, modified form of Malay), English, Dutch, local dialects (of which the most widely spoken is Javanese) note: more than 700 languages are used in Indonesia
  • Governo
  • Estatísticas Nacionais Oficias
  • População, pessoas:267.663.435 (2018)
  • Área, km2:1.811.570
  • PIB per capita, US$:3.894 (2018)
  • PIB, bilhões em US$ atuais:1.042,2 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:73
Todos os conjuntos de dados:  2 3 A B C D E F G H I J K L M N O P Q R S T U V W Y К Н П С Ч
  • 2
    • junho 2016
      Fonte: Deloitte
      Carregamento por: Knoema
      Acesso em 02 junho, 2016
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      With the release of the 2016 Global Manufacturing Competitiveness Index (GMCI), Deloitte Touche Tohmatsu Limited (Deloitte Global) and the Council on Competitiveness (the Council) in the US build upon the GMCI research, with prior studies published in 2010 and 2013. The results of the 2016 study clearly show the ongoing influence manufacturing has on driving global economies. From its influence on infrastructure development, job creation, and contribution to gross domestic product (GDP) on both an overall and per capita basis, a strong manufacturing sector creates a clear path toward economic prosperity.
    • junho 2017
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2017, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 11 emerging economies: Brazil, China, Colombia, Costa Rica, Indonesia, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies. 
  • 3
    • outubro 2016
      Fonte: Philipps-University of Marburg, Empirical Institutional Economics
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2016
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      The 3P Anti-trafficking Policy Index evaluates governmental anti-trafficking efforts in the three main policy dimensions (3Ps), based on the requirements prescribed by the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children (2000).   The three main policy dimensions (3Ps) are:Prosecution of perpetrators of human traffickingPrevention of human traffickingProtection of the victims of human trafficking Each of the 3P areas is evaluated on a 5-point scale and each index is aggregated to the overall 3P Anti-trafficking Index as the  sum (score 3-15).Prosecution Index Score: 1 (no compliance) - 5 (full compliance)Prevention Index Score: 1 (no compliance) - 5 (full compliance)Protection Index Score: 1 (no compliance) - 5 (full compliance)3P Anti-trafficking Policy Index Score: 3 (no compliance for any of the three areas) - 15 (full compliance for all of the three areas) The 3P Anti-trafficking Policy Index is available for each country and each year and currently includes up to 189 countries for the preiod from 2000 to 2015.
  • A
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      Chapter C includes indicators that are a mixture of outcome indicators, policy levers and context indicators. Internationalisation of education and progression rates are, for instance, outcome measures to the extent that they indicate the results of policies and practices at the classroom, school and system levels. But they can also provide contexts for establishing policy by identifying areas where policy intervention is necessary, for example, to address issues of inequity.
    • dezembro 2018
      Fonte: U.S. Energy Information Administration
      Carregamento por: Knoema
      Acesso em 11 dezembro, 2018
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      World Electricity access database Hundreds of millions of people have gained access to modern energy over the last two decades, especially in China and India. Rapid economic development in several developing countries, increasing urbanisation and ongoing energy access programmes have been important factors in this achievement. The IEA Access to Energy database provides a snapshot of progress made toward meeting the ultimate goal of universal access. Note: For indicator population without access, value 1 represent <1 except Botswana, Guatemala countries
    • julho 2016
      Fonte: Knoema
      Carregamento por: Knoema
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      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      This indicator aims to capture the share of persons in the labour force protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the labour force that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • setembro 2014
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      This indicator aims to capture the share of persons in the labour force protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the labour force that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • setembro 2014
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • agosto 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 05 outubro, 2018
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      Activities of U.S. MNEs: Majority-Owned Foreign Affiliates, Selected Indicators, 2016.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • março 2019
      Fonte: Chief Executives Board for Coordination, UN
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Agency Revenue By Government Donor for assessed revenue type
    • fevereiro 2018
      Fonte: Ministry of Tourism, Government of India
      Carregamento por: Knoema
      Acesso em 10 abril, 2018
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      This dataset provides data for foreign tourist arrivals distributed by age  group.
    • julho 2015
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Denis Chernyshev
      Acesso em 03 dezembro, 2015
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • abril 2019
      Fonte: Agricultural Market Information System
      Carregamento por: Knoema
      Acesso em 07 maio, 2019
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      Data Source - CBS Notes: Financial Year 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively
    • abril 2019
      Fonte: Agricultural Market Information System
      Carregamento por: Knoema
      Acesso em 02 maio, 2019
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      Notes: Financial Years 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively. Data Source - IGS
    • abril 2019
      Fonte: Agricultural Market Information System
      Carregamento por: Knoema
      Acesso em 03 maio, 2019
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      Data Source - PSD Notes: Financial Year 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively.
    • junho 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      This dataset contains indicators related to Agriculture, Horticulture and Forestry topics for provincial level.
    • maio 2013
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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    • novembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015
    • janeiro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • abril 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 agosto, 2019
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      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 agosto, 2019
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      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • maio 2013
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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    • maio 2013
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 abril, 2019
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      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from bilateral and multilateral donors which focus on flows from DAC member countries and the EU Institutions.
    • abril 2017
      Fonte: Akamai
      Carregamento por: Knoema
      Acesso em 07 junho, 2017
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    • junho 2013
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 21 novembro, 2014
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: All The Ginis Dataset Publication: https://datacatalog.worldbank.org/dataset/all-ginis-dataset License: http://creativecommons.org/licenses/by/4.0/   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).
    • outubro 2019
      Fonte: National Institute of Statistics, Italy
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      Data source(s) used: Crimes reported to the Judicial authorities by the State Police, Carabinieri and Guardia di Finanza: Are processed the data on felonies and people who were reported by police to the court Other data characteristics: Data referring to social demographic characteristics of alleged offenders could not coincide with data on reports because of the different timing of extraction from police forces database.The sum of the crimes by province could not coincide with the total of the region, and that of the regions with the total Italy, because of the missed precise statement, for some crimes, of the place where they have been committed (or of the region of the committed crime but not of the province).
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors. This dataset covers the 34 OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly statistics for each country. House prices differ widely across OECD countries, both with respect to recent changes and to valuation levels. The OECD has identified one main nominal index for each country that covers the prices for the sale of newly-built and existing dwellings. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” refer to the same price indices for all countries apart from Brazil, Canada, China, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap. This research dataset provides extended time series coverage for many countries. The objective is to provide information on the long term trend of house prices and develop indicators which can be used to help track and analyse macroeconomic developments and risks. The extended data supplement the OECD RPPI data with historical data from a variety of sources, including other international organisations, central banks and national statistical offices. The methodological basis on the historical data and the types of geographical areas and dwellings they cover can differ from those used in the OECD RPPI data. The database contains a number of additional series. Real house prices are given by the ratio of seasonally adjusted nominal house prices to the seasonally adjusted consumers’ expenditure deflator in each country, from the OECD national accounts database. This provides information on how nominal house prices have changed over time relative to prices in the general economy. The rental prices come from the OECD Main Economic Indicators database and refer to Consumer Price Indices (CPIs) for Actual rentals for housing (COICOP 04.1). If this indicator is missing for a country, another indicator is chosen. The chosen indicator are usually those corresponding to the CPI aggregate for Housing including Actual rentals for housing (COICOP 04.1), imputed rentals for housing (COICOP 04.2) and Maintenance and repair of the dwelling (COICOP 04.3). The disposable income indicators come from the OECD national accounts database. Net household disposable income is used. The population data come from the OECD national accounts database. The price-to-rent ratio is given by the ratio of nominal house prices to rental prices. This is a measure of the profitability of owning a house. The price-to-income ratio is given by the ratio of nominal house prices to nominal household disposable income per capita. This is a measure of the affordability of purchasing a house. An indication that house prices may be overvalued is provided if either of these ratios is above their long-term averages. The standardised price-rent and price-income ratios show the current price-rent and price-income ratios relative to their respective long-term averages. The long-term average, which is used as a reference value, is calculated over the whole period available when the indicator begins after 1980 or 1980 if the indicator is available over a longer time period. The standardised ratio is indexed to a reference value equal to 100 over the full sample period. Values over 100 indicate that the present price-rent ratio, or price-income ratio, is above its long-run norms. This provides an indication of possible housing market pressures.
    • junho 2017
      Fonte: International Tropical Timber Organization
      Carregamento por: Knoema
      Acesso em 24 julho, 2017
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      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries. Data cited at: ITTO Biennial review statistics: https://www.itto.int/biennal_review/
    • abril 2019
      Fonte: Islamic Development Bank
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      Data source used: The aquaculture production data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies. Data on marine landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • setembro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 04 setembro, 2019
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      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • janeiro 2014
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • agosto 2015
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 25 março, 2019
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      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
    • setembro 2015
      Fonte: Ministry of Statistics and Programme Implementation, India
      Carregamento por: Knoema
      Acesso em 22 setembro, 2019
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      Title: Area / Production And Productivity of Major Fruits and Vegetables Producing Countries In The World   Description: The data refers to data on Area, Production and Productivity of major Fruits and Vegetables producing Countries in the World from 2009-10 to 2010-11 (such as China, India, Brazil, USA, Italy, Spain, Mexico, Indonesia, Philippines, Iran, Turkey and Others).   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: area; Brazil; China; Horticulture; Iran; Italy; major; Mexico; Philippines; Spain; Turkey; USA; Donesia   Group: Horticulture   Sectors: Statistics; Horticulture; Agriculture   Note: Source: Data taken from Statistical Year Book-2013, CSO; NA: Not Available.
    • abril 2016
      Fonte: Ministry of Statistics and Programme Implementation, India
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
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      Title: Area / Population And Income Of G-20 Countries   Description: The data refers to for G-20 countries details on area, population, gross domestic product (GDP), domestic product per capita income and purchasing power from 2010 to 2012.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: GDP; domestic; product; Capita; Gross; Purchasing; Power   Group: India and The World   Sectors: Statistics; All   Note: Original Data Source: IMF staff estimates and published in Statistical Year Book-2014 by MoSPI.
    • março 2019
      Fonte: Stockholm International Peace Research Institute
      Carregamento por: Knoema
      Acesso em 19 março, 2019
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      Data cited at: Stockholm International Peace Research Institute (SIPRI)   The SIPRI Arms Transfers Database contains information on all transfers of major conventional weapons from 1950 to the most recent full calendar year. It is a unique resource for researchers, policy-makers and analysts, the media and civil society interested in monitoring and measuring the international flow of major conventional arms. For more information, see http://www.sipri.org/databases/armstransfers/sources-and-methods/
    • fevereiro 2017
      Fonte: ASEAN +3 Macroeconomic Research Office
      Carregamento por: Knoema
      Acesso em 26 julho, 2017
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    • abril 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 17 abril, 2019
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      APD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Asia and Pacific. Data for the REO for Asia and Pacific is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • março 2017
      Fonte: Transparency International
      Carregamento por: Knoema
      Acesso em 26 fevereiro, 2018
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      Data cited at GLOBAL CORRUPTION BAROMETER 2015/16/17by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/research/gcb/gcb_2015_16/0 In the most extensive survey of its kind, we spoke to 21,861 people in 16 countries, regions and territories across the Asia Pacific region between July 2015 and January 2017 about their perceptions and experiences of corruption. The survey results show a great diversity in the corruption risks across the region, but in every country surveyed there is scope for improved approaches to corruption prevention.
    • outubro 2014
      Fonte: Actionable Governance Indicators Data Portal
      Carregamento por: Knoema
      Acesso em 13 outubro, 2015
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    • novembro 2015
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      ASTI collects primary time-series data on agricultural research capacity and spending levels through national survey rounds in over 80 low-and middle-income countries. Data collection is carried out by country focal points, who distribute survey forms to all agencies known to conduct agricultural research in a given country, including government, nonprofit, and higher education agencies. Private-for profit sector coverage is limited, and hence excluded from this dataset. More detailed country- and regional-level data on agricultural research capacity, investment, and outputs are available 
    • março 2015
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 12 agosto, 2015
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    • março 2015
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 12 agosto, 2015
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    • outubro 2013
      Fonte: International Organization of Motor Vehicle Manufacturers
      Carregamento por: Carpe Facto
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      The International Organization of Motor Vehicle Manufacturers was founded in Paris in 1919. It is known as the “Organisation Internationale des Constructeurs d’Automobiles” (OICA). This dataset contains figures related to auto production, sales and usage.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      This dataset presents the average number of students in a class by type of institution.
    • novembro 2005
      Fonte: Disabled World
      Carregamento por: Prashanth BK Kumar
      Acesso em 27 janeiro, 2016
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    • julho 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 17 julho, 2018
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      This table presents data on average monthly earnings converted to a common currency. Data in U.S. dollars are converted from local currency using exchange rates, while data in constant 2011 U.S. dollars are converted using 2011 purchasing power parities (PPPs)   Dataset splitted into below datasets:-   Local Currency (Total) - https://knoema.com/EAR_TEAR_NOC_NB   Local Currency (Men) - https://knoema.com/EAR_MEAR_NOC_NB   Local Currency (Women) - https://knoema.com/EAR_FEAR_NOC_NB   Constant 2011 PPP $ (Total) - https://knoema.com/EAR_4MPT_NOC_NB   Constant 2011 PPP $ (Men) - https://knoema.com/EAR_4MPM_NOC_NB   Constant 2011 PPP $ (Women) - https://knoema.com/EAR_4MPW_NOC_NB
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency. Manufacturing refers to ISIC-Rev. 4 Section C; ISIC-Rev. 3 Category D; or ISIC-Rev. 2 Major Division 2.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for men.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for women.
  • B
    • outubro 2019
      Fonte: Statistics Denmark
      Carregamento por: Knoema
      Acesso em 11 outubro, 2019
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    • novembro 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 01 abril, 2019
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      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
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      The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .
    • dezembro 2017
      Fonte: Department of Statistics, Malaysia
      Carregamento por: Knoema
      Acesso em 21 fevereiro, 2018
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      Annual statistics of Malaysia's balance of payment as time series 1947 - 2017.
    • maio 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 28 maio, 2019
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      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
    • fevereiro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 março, 2019
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      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.
    • junho 2015
      Fonte: Barro-Lee
      Carregamento por: Knoema
      Acesso em 12 outubro, 2015
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      Data cited at: Barro-Lee  
    • agosto 2015
      Fonte: Barro-Lee
      Carregamento por: Knoema
      Acesso em 12 outubro, 2015
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      Data cited at: Barro-Lee
    • dezembro 2012
      Fonte: PoachingFacts.com
      Carregamento por: Knoema
      Acesso em 16 junho, 2016
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    • janeiro 2018
      Fonte: Bertelsmann Stiftung
      Carregamento por: Knoema
      Acesso em 19 abril, 2018
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      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.
    • abril 2014
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 08 fevereiro, 2016
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      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • abril 2018
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 14 novembro, 2018
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • setembro 2019
      Fonte: United Nations COMTRADE
      Carregamento por: Knoema
      Acesso em 18 setembro, 2019
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      Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
    • setembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 30 setembro, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • setembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 10 setembro, 2019
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      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.   Data cited at : https://www.bis.org/statistics/index.htm
    • setembro 2019
      Fonte: Havocscope Black Market
      Carregamento por: Knoema
      Acesso em 11 outubro, 2019
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      Data cited at: Havocscope
    • abril 2017
      Fonte: Bloom Consulting
      Carregamento por: Knoema
      Acesso em 24 maio, 2017
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      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • fevereiro 2019
      Fonte: BP
      Carregamento por: Knoema
      Acesso em 03 maio, 2019
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      BP Energy Outlook Charts Data Pack - 2019 edition The Energy Outlook considers different aspects of the energy transition and the key issues and uncertainties these raise.   In all the scenarios considered, world GDP more than doubles by 2040 driven by increasing prosperity in fast-growing developing economies. In the Evolving transition (ET) scenario this improvement in living standards causes energy demand to increase by around a third over the Outlook, driven by India, China and Other Asia which together account for two-thirds of the increase. Despite this increase in energy demand, around two-thirds of the world’s population in 2040 still live in countries where average energy consumption per head is relatively low, highlighting the need for ‘more energy’. Energy consumed within industry and buildings accounts for around three-quarters of the increase in energy demand. Growth in transport demand slows sharply relative to the past, as gains in vehicle efficiency accelerate. The share of passenger vehicle kilometres powered by electricity increases to around 25% by 2040, supported by the growing importance of fully-autonomous cars and shared-mobility services.
    • junho 2019
      Fonte: BP
      Carregamento por: Knoema
      Acesso em 18 junho, 2019
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      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • fevereiro 2017
      Fonte: National Institute of Statistics, Cameroon
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2019
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      Data cited at: https://cameroon.opendataforafrica.org/gfuiizc Breeding and Fishing, 2013
    • junho 2018
      Fonte: Times Higher Education
      Carregamento por: Knoema
      Acesso em 11 junho, 2018
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      The Times Higher Education Emerging Economies University Rankings 2018 includes only institutions in countries classified by the FTSE as “advanced emerging”, “secondary emerging” or “frontier”. its fifth year, the 2018 ranking parts with the ‘BRICS’ acronym in the title to recognise the strength and potential of a diverse range of emerging economies. The rankings use the same 13 performance indicators as the THE World University Rankings to judge institutions on their teaching, research, knowledge transfer and international outlook. But they are recalibrated to reflect the development priorities of universities in emerging economies. 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.
    • março 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
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      The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.   Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators.   The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.   Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      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
    • outubro 2017
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 06 agosto, 2018
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      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • setembro 2019
      Fonte: Government of Canada
      Carregamento por: Knoema
      Acesso em 27 setembro, 2019
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      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • setembro 2019
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
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      For the location "Puerto Rico" data is available from 1990.
    • dezembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 02 janeiro, 2019
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      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • abril 2019
      Fonte: Global Oil & Gas Network
      Carregamento por: Knoema
      Acesso em 19 setembro, 2019
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      data as of April 14, 2019
    • setembro 2019
      Fonte: National Bureau of Statistics, Nigeria
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
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      Capital Importation into Nigeria
    • março 2019
      Fonte: International Organization of Motor Vehicle Manufacturers
      Carregamento por: Knoema
      Acesso em 11 abril, 2019
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      OICA Car Production Statistics 1999-2018 contains world motor vehicle production statistics, obtained from national trade organisations, OICA members or correspondents. Passenger cars are motor vehicles with at least four wheels, used for the transport of passengers, and comprising no more than eight seats in addition to the driver's seat. Commercial vehicles include light commercial vehicles, heavy trucks, coaches and buses.
    • maio 2018
      Fonte: China Association of Automobile Manufacturers
      Carregamento por: Shakthi Krishnan
      Acesso em 13 setembro, 2018
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      World: Car Sales by Country 2017
    • maio 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 maio, 2019
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      Indicators in the OECD database on Carbon dioxide (CO2) emissions embodied in international trade are derived by combining the 2015 version of OECD's Inter-Country Input-Output (ICIO) Database with International Energy Agency (IEA) statistics on CO2 emissions from fuel combustion. Production-based CO2 emissions are estimated by allocating the IEA CO2 emissions to the 34 target industries in OECD ICIO and, to final demand for fuels, by both residents and non-residents. Consumption-based CO2 emissions are calculated by multiplying the intensities of the production-based emissions (c) with the global Leontief inverse (I-A)(-1) and global final demand matrix (Y) from OECD ICIO, taking the column sums of the resulting matrix and adding residential and private road emissions (FNLC), i.e. direct emissions from final demand: colsum [ diag(c) (I-A)(-1) Y ] + FNLC. The ICIO system includes discrepancies in the trade data (referred to as DISC). Emissions allocated to DISC are made explicit (e.g. in indicator FD_CO2). This ensures that global CO2 production equals global CO2 consumption.
    • março 2019
      Fonte: Japanese Shipowners' Association
      Carregamento por: Knoema
      Acesso em 27 maio, 2019
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      Japan: Shipping Statistics Handbook, Harbour
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time.
    • novembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 05 dezembro, 2018
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      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.
    • outubro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • fevereiro 2019
      Fonte: United Nations Children's Fund
      Carregamento por: Knoema
      Acesso em 08 abril, 2019
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      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • junho 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 030 -- Citizenship by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_030.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Citizenship If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country. Citizenship Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 07 agosto, 2019
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    • maio 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 14 maio, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Climate Investment Funds – Clean Technology Fund (CTF) Results Data Publication: https://datacatalog.worldbank.org/dataset/2016-climate-investment-funds-%E2%80%93-clean-technology-fund-ctf-results-data License: http://creativecommons.org/licenses/by/4.0/   The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving: (a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency. Please note that this is based on 53 out of 55 projects reporting results and does not include (2) CONFIDENTIAL projects. Reporting Year: 2017
    • julho 2019
      Fonte: End Coal
      Carregamento por: Knoema
      Acesso em 04 setembro, 2019
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      Data cited at: End Coal https://endcoal.org/ Topic: Coal Plants by country Publication URL: https://endcoal.org/global-coal-plant-tracker/summary-statistics/ License: https://creativecommons.org/licenses/by-nc/4.0/
    • abril 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 21 maio, 2019
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      The collective bargaining coverage rate conveys the number of employees whose pay and/or conditions of employment are determined by one or more collective agreement(s) as a percentage of the total number of employees. Collective bargaining coverage includes, to the extent possible, workers covered by collective agreements in virtue of their extension. Collective bargaining coverage rates are adjusted for the possibility that some workers do not have the right to bargain collectively over wages (e.g. workers in the public services who have their wages determined by state regulation or other methods involving consultation), unless otherwise stated in the notes. The statistics presented in this table result from an ILO data compilation effort (including an annual questionnaire and numerous special enquiries), with contributions from J. Visser.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • fevereiro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 28 fevereiro, 2019
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      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 agencies of foreign companies.
    • janeiro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • maio 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 03 maio, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Commodity Markets Outlook Publication: http://www.worldbank.org/en/research/commodity-markets License: http://creativecommons.org/licenses/by/4.0/   Report on Commodity Markets Outlook, 2019 April Financial Years-1970/71,1980/1981,2017/2018,2018/2019 have been considered as 1971,1981,2018,2019 respectively.
    • outubro 2018
      Fonte: U.S. National Center for Education Statistics
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2018
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      Common Core Data For Universe surveys, School District (LEA) The primary purposes of the Local Education Agency (School District) Universe Survey are:to provide a complete listing of every education agency in the United States responsible for providing free public elementary/secondary instruction or education support services;to provide basic information about all education agencies and the students for whose education the agencies are responsible.  
    • março 2016
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 22 março, 2016
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    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.   
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • dezembro 2016
      Fonte: Concordia
      Carregamento por: Knoema
      Acesso em 28 julho, 2017
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      THE CONCORDIA PARTNERSHIP Index (the Index) was developed as a tool for public, private, and nonprofit organizations to identify opportunities to form strategic partnerships and pool resources for the implementation of innovative ideas. The Index ranks countries based on their readiness and need to engage in public-private partnerships (P3s). The inclu- sion of the need indicators sets the Index apart from other indices that measure P3 environ- ments. While the success of a P3 depends on a country’s political and market structures, the Index recognizes that for a P3 to be truly impactful it must address a large-scale need.
    • agosto 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 26 agosto, 2019
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      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • setembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 23 setembro, 2019
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • setembro 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 14 outubro, 2019
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      This dataset contains indicators related to construction for provincial level.
    • outubro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 17 outubro, 2019
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      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • setembro 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 09 setembro, 2019
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      This dataset contains indicators related to CPI and Inflation at provincial level.
    • setembro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
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      The FAOSTAT monthly CPI Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      The 'Consumer Price Indices (CPIs)' contains all data that was previously contained in three different datasets: 'Consumer Prices', 'National Consumer Price Indices (CPIs) by COICOP divisions' and 'Harmonised Indices of Consumer Prices (HICPs) by COICOP divisions'. The 'Consumer Price Indices (CPIs)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and for some non-member countries. The ‘Consumer Price Indices (CPIs)' dataset contains statistics on Consumer Price Indices including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national annual inflation. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases, a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • dezembro 2018
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 22 fevereiro, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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    • janeiro 2019
      Fonte: Transparency International
      Carregamento por: Knoema
      Acesso em 01 fevereiro, 2019
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      Data cited at CORRUPTION PERCEPTIONS INDEX 2018 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/cpi2018 Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • fevereiro 2019
      Fonte: Numbeo
      Carregamento por: Knoema
      Acesso em 05 março, 2019
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      Data cited at NUMBEO Numbeo is the world’s largest database of user contributed data about cities and countries worldwide. Numbeo provides current and timely information on world living conditions including cost of living, housing indicators, health care, traffic, crime and pollution. For more information please check http://www.numbeo.com/cost-of-living/rankings_by_country.jsp   About dataset: 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.
    • novembro 2014
      Fonte: Central Agency for Public Mobilization and Statistics of Egypt
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2014
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    • novembro 2012
      Fonte: Freedom House
      Carregamento por: Knoema
      Acesso em 12 dezembro, 2012
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      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.
    • abril 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 20 agosto, 2015
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      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • abril 2018
      Fonte: The United States President's Emergency Plan for AIDS Relief
      Carregamento por: Knoema
      Acesso em 08 agosto, 2018
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      Operating unit-level results for 2016 and prior years represent aggregated totals. For 2015 and 2016, results are available at the subnational level. For 2014 results and prior, the data can only be viewed and explored in aggregate country or regional form. General patterns can be explored for all results, allowing the investigation of trends within and among different operating units. Some variation exists between indicator versions from PEPFAR during 2004-2010, 2011-2014, and 2015-2016. More detail regarding these differences can be found in the indicator reference documents and in reference materials attached to this dashboard.
    • janeiro 2019
      Fonte: NYU Stern
      Carregamento por: Knoema
      Acesso em 13 fevereiro, 2019
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      Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186   This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
    • julho 2019
      Fonte: Federal Financial Institutions Examination Council
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
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      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • março 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Country of birth according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Country of birth The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Non-autonomous states are summed under their mother country. Country of birth Sudan Sudan + Former Sudan
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 15 fevereiro, 2019
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      LGA2011 based data for Country Of Birth Of Person by Sex, Time Series Profiles Table t08, for 2011 Census ABS Census Homepage
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 12 fevereiro, 2019
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      LGA2011 based data for by Sex, Basic Community Profile Table B09, for 2011 Census ABS Census Homepage
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 12 fevereiro, 2019
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      SA1 based data for by Sex, Basic Community Profile Table B09, for 2011 Census ABS Census Homepage
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 15 fevereiro, 2019
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      Australia/State/SA4/SA3/SA2 based data for Country Of Birth Of Person by Sex, Time Series Profiles Table t08, for 2011 Census ABS Census Homepage
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 12 fevereiro, 2019
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      Australia/State/SA4/SA3/SA2 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 12 fevereiro, 2019
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      LGA2011 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 13 fevereiro, 2019
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      SA1 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • abril 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 maio, 2018
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      Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • julho 2016
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 julho, 2016
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • junho 2018
      Fonte: Reputation Institute
      Carregamento por: Knoema
      Acesso em 03 julho, 2018
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      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • março 2012
      Fonte: Knoema
      Carregamento por: Knoema
      Selecionar Conjunto de dados
      Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • dezembro 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 18 abril, 2016
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      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • setembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 30 setembro, 2019
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      >>All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >>All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.   Data cited at : https://www.bis.org/statistics/index.htm
    • outubro 2019
      Fonte: National Bank of Belgium
      Carregamento por: Knoema
      Acesso em 06 outubro, 2019
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    • junho 2019
      Fonte: Numbeo
      Carregamento por: Knoema
      Acesso em 22 julho, 2019
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      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • abril 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 20 maio, 2019
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      This dataset contains indicators related crime statistics for provincial level.
    • fevereiro 2013
      Fonte: RAND Corporation
      Carregamento por: Knoema
      Acesso em 18 novembro, 2015
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      This report describes the results of a study of the sources and reliability of the supply of imported materials on which United States manufacturers are dependent. It should be of interest to a broad spectrum of individuals and organizations in the materials and manufacturing sectors as well as government, private sector, and non-profit organizations involved with or concerned about those sectors. This research was sponsored by the National Intelligence Council and conducted within the Intelligence Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelligence Community
    • setembro 2019
      Fonte: Petroleum Association of Japan
      Carregamento por: Knoema
      Acesso em 13 setembro, 2019
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      Japan: Crude Oil/Petroleum Products Import (Amount in Yen), Monthly Update
    • março 2019
      Fonte: European Commission
      Carregamento por: Knoema
      Acesso em 26 abril, 2019
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      Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from organic soils under cropland (item: Cropland organic soils) and grassland (item: Grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
    • junho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 11 junho, 2019
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      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
    • março 2019
      Fonte: Statistics Denmark
      Carregamento por: Knoema
      Acesso em 10 abril, 2019
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    • junho 2018
      Fonte: Bank of Canada
      Carregamento por: Knoema
      Acesso em 18 junho, 2019
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      The Bank of Canada’s Credit Rating Assessment Group (CRAG) comprehensive database of sovereign defaults draws on previously published data sets compiled by various official and private sector sources. It combines elements of these, together with new information, to develop estimates of stocks of government obligations in default, including bonds and other marketable securities, bank loans, and official loans in default, valued in U.S. dollars, for the years 1960 to 2016 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • setembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Time lost per occupational injury is defined as the average number of calendar days lost per new cases of non-fatal occupational injury resulting in temporary incapacity.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      Days not worked as a result of strikes and lockouts represent the total number of working days not worked as a result of strikes and lockouts in progress during the year. It is measured in terms of the sum of the actual working days during which work would normally have been carried out by each worker involved had there been no stoppage. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Translates the average number of days not worked because of strikes and lock-out per 1000 workers.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      Rates of days not worked due to strikes and lockouts represent the severity rates of strikes and lockouts, calculated in terms of the number of days not worked per 1'000 workers, unless otherwise stated in the notes. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • setembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 30 setembro, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • janeiro 2019
      Fonte: AIRBUS
      Carregamento por: Knoema
      Acesso em 24 janeiro, 2019
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      Defense Aircraft Summary
    • abril 2017
      Fonte: Islamic Development Bank
      Carregamento por: Knoema
      Acesso em 07 setembro, 2017
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    • junho 2019
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 02 junho, 2019
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      The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses' datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UNdata. This latest update includes several datasets on international travel and migration inflows and outflows, and on incoming and departing international migrants by several characteristics, as reported by the national authorities to the UN Statistics Division for the reference years 2010 to the present as available.
    • junho 2018
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 30 outubro, 2018
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      This dataset contains indicators related to population for provincial level.
    • fevereiro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 março, 2019
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      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.
    • abril 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and future scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
    • janeiro 2018
      Fonte: The Fletcher School,Tufts University
      Carregamento por: Knoema
      Acesso em 30 agosto, 2018
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      The DEI 2017 is a data-driven holistic evaluation of the progress of the digital economy across 60 countries, combining more than 100 different indicators across four key drivers: Supply Conditions, Demand Conditions, Institutional Environment, and Innovation and Change. The resulting framework captures both the state and rate of digital evolution and identifies implications for investment, innovation, and policy priorities. DEI 2017 also highlights the evolving nature of the risks being created by our continuing reliance on digital technology. Towards this end, the study covers a key question of “digital trust.“ The DEI 2017 incorporates a newly devised analysis of digital trust that takes into account the trustworthiness of the digital environment for each country; the quality of users’ experience; attitudes towards key institutions and organizations; and users’ behavior when they interact with the digital world. This subject is of great interest to all participants in the digital economy, given the concerns about security of essential information, cyber-attacks, and consumers’ apprehensions—about the digital systems and their reliability, the digital companies and their growing dominance, and about the leaders of digital companies. The DEI framework segments the 60 countries into Stand Outs, Stall Outs, Break Outs and Watch Outs. Three countries are notable as standouts even within the Stand Out segment: Singapore, New Zealand, and the UAE. Each has a unique policy-led digital strategy and a narrative that may be considered by other nations as worthy of emulation or adoption. The Nordic countries and Switzerland are at the top of the DEI 2017 rankings. China, once again, tops the list of countries in terms of the pace of change in its digital evolution, or momentum.
    • dezembro 2007
      Fonte: International Telecommunication Union
      Carregamento por: Knoema
      Acesso em 23 maio, 2019
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      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.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      The OECD Digital STRI identifies, catalogues and quantifies barriers that affect trade in digitally enabled services across 46 countries. It provides policy makers with an evidence-based tool that helps to identify regulatory bottlenecks, design policies that foster more competitive and diversified markets for digital trade, and analyze the impact of policy reforms. The OECD Digital STRI captures cross-cutting impediments that affect all types of services traded digitally. As a stand-alone instrument, it complements the OECD Services Trade Restrictiveness Index (STRI).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      The OECD Digital STRI heterogeneity indices complement the recently published Digital STRI's and presents indices of regulatory heterogeneity based on the rich information in the Digital STRI regulatory database. The indices are built from assessing – for each country pair and each measure – whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.
    • março 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 24 maio, 2019
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      U.S. Direct Investment Abroad: Income Without Current-Cost Adjustment, Quarterly Update 
    • julho 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 10 agosto, 2018
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      Direct Investment Abroad: Reinvestment of Earnings Without Current Cost Adjustment, United States
    • agosto 2019
      Fonte: The Central Bank of the Russian Federation
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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    • abril 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 21 junho, 2019
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      U.S. Direct Investment Position Abroad on a Historical-Cost Basis
    • julho 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 10 agosto, 2018
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      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • junho 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 30 agosto, 2019
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      GBD 2017 - Disability-Adjusted Life Years and Healthy Life Expectancy 1990-2017 The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2016 (quinquennial). Select tables published in The Lancet in September 2017 in "Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      Discouraged job-seekers refer to those persons of working age who during a specified reference period were without work and available for work, but did not look for work in the recent past for specific reasons (for example, believing that there were no jobs available, believing there were none for which they would qualify, or having given up hope of finding employment). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 abril, 2019
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      Graduates/new entrants in each educational field as a percentage of the sum of graduates/new entrants in all fields.
    • agosto 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 22 agosto, 2019
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      Note: All data contained within is provisional. The annual number of cases of measles and rubella officially reported by a member state is only available by July of each following year (through the joint WHO UNICEF annual data collection exercise). “provisional data based on monthly data reported to WHO (Geneva) as of April 2019”. Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization. Some countries report cases at irregular intervals, providing multiple months of data in a one month period. Future months are reported as 0 and will be updated as data is available. When data is used in public settings, please acknowledge the data source is the World Health Organization.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      Distribution of teachers by gender and different age groups.
    • março 2019
      Fonte: Machine Tool Builders’ Association, Japan
      Carregamento por: Knoema
      Acesso em 03 abril, 2019
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      Monthly amount of orders received of Machine Tools Jan 2009 to present.
    • setembro 2019
      Fonte: Department of Statistics, Singapore
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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      Data prior to 1999 are based on Standard International Trade Classification (SITC) 3. Data from 1999 onwards are based on SITC 4.1 and consistent with the ASEAN Harmonised Tariff Nomenclature (AHTN) 2017 version.
    • setembro 2019
      Fonte: Department of Statistics, Singapore
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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      Data prior to 1999 are based on Standard International Trade Classification (SITC) 3. Data from 1999 onwards are based on SITC 4.1 and consistent with the ASEAN Harmonised Tariff Nomenclature (AHTN) 2017 version.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 outubro, 2019
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      The OECD FSE database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies. It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies. These tables report country programmes data aggregated according to the main categories presented in the FSE Manual. More detailed documentation on country programmes can be found in country-level metadata; more data on country programmes can be found in the full dataset (Excel Format - link provided below). Statistics are organized in pivot tables to make possible cross-country comparisons and to filter disaggregated policy-level data by policy implementation criteria and country.
    • dezembro 2008
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Peter Speyer
      Selecionar Conjunto de dados
      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
    • setembro 2019
      Fonte: Department of Statistics, Singapore
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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      Earnings Of Foreign Direct Investment In Singapore By Country/Region (During The Year), Annual
    • julho 2013
      Fonte: Earth Policy Institute
      Carregamento por: Knoema
      Acesso em 08 julho, 2013
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      Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
    • fevereiro 2015
      Fonte: U.S. Geological Survey
      Carregamento por: Knoema
      Acesso em 28 abril, 2015
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    • abril 2014
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 26 maio, 2016
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: East Asia And Pacific Economic Update Publication: https://datacatalog.worldbank.org/dataset/east-asia-and-pacific-economic-update License: http://creativecommons.org/licenses/by/4.0/   The East Asia and Pacific Economic Update is the comprehensive, twice-yearly review of the region’s economies prepared by the East Asia and Pacific region of the World Bank. The report provides forward-looking analysis of the region's economic and social well-being, and includes data on key indicators for output, employment, prices, public sector, foreign trade, BOP, external debt and financial markets.
    • setembro 2019
      Fonte: Fraser Institute
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      Data cited at: "Economic Freedom of the World: 2019 Annual Report"@Fraser Institute   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.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 abril, 2019
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      The OECD Long-Term Baseline Scenario is a projection of some major economic variables beyond the short-term horizon of the OECD Economic Outlook. It covers all OECD economies, non-OECD G20 economies and key partners. The projection horizon is currently 2060. For the historical period and the short-run projection horizon, the series are consistent with those of the OECD Economic Outlook number in the dataset title. The definitions, sources and methods are also the same, except where noted explicitly (such as coverage of the non-OECD and world aggregates). For more details on the methodology, please see Boxes 1 to 3 in The Long View: Scenarios for the World Economy to 2060 and the references therein.The baseline scenario is a projection conditional on a number of assumptions, notably that countries do not carry out institutional and policy reforms. It is used as a reference point to illustrate the potential impact of structural reforms in alternative scenarios, such as those discussed in The Long View: Scenarios for the World Economy to 2060. The data for these alternative scenarios are not available here but can be obtained on request by writing to EcoOutlook@oecd.org.
    • maio 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 31 maio, 2019
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      The OECD Economic Outlook analyses the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available.   The database contains annual data (for all variables) and quarterly figures (for a subset of variables). Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD data bases such as Quarterly National Accounts, Annual National Accounts, Labour Force Statistics and Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 15 May 2019.   Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 abril, 2019
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      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of this Outlook provides a unique tool to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest rates and exchange rates, the balance of payments, government and of households, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual and quarterly data for the historical period and for the projection period. For this latter period, quarterly data are available for the G7 countries, and the OECD regions, while annual data are available for all OECD countries and for non-OECD regions. Quarterly series are seasonally adjusted. Variables are defined in such a way that they are as homogenous as possible over the countries. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Annual Labour Force Statistics and the Main Economic Indicators.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 abril, 2019
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      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual for the projection period. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Annual Labour Force Statistics and the Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 15 May 2013. With the OECD Economic Outlook 87, new aggregation techniques have been applied to construct the OECD area (34 countries) and the OECD euro area (15 OECD countries that are also members of Euro area). The new approach aims to better handle issues arising from evolving composition of these areas and different data availability across countries. The main changes are a switch from a fixed weighting scheme to moving weighting schemes for OECD and the direct aggregation of ratios, rather than computing them as ratios of aggregated components. Consequently, a number of series expressed in levels differ from the series previously published, while others are no longer available, particularly government and labour market data. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 abril, 2019
      Selecionar Conjunto de dados
      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual for the projection period. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Labour Force Statistics and the Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 29 May 2015. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 julho, 2019
      Selecionar Conjunto de dados
      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual for the projection period. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Labour Force Statistics and the Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 29 May 2015. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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    • dezembro 2012
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 21 maio, 2013
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    • março 2019
      Fonte: Edelman
      Carregamento por: Knoema
      Acesso em 23 abril, 2019
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      Edelman Trust Barometer reveals that trust is in crisis around the world. The general population’s trust in all four key institutions — business, government, NGOs, and media — has declined broadly, a phenomenon not reported since Edelman began tracking trust among this segment in 2012. With the fall of trust, the majority of respondents now lack full belief that the overall system is working for them. In this climate, people’s societal and economic concerns, including globalization, the pace of innovation and eroding social values, turn into fears, spurring the rise of populist actions now playing out in several Western-style democracies. To rebuild trust and restore faith in the system, institutions must step outside of their traditional roles and work toward a new, more integrated operating model that puts people — and the addressing of their fears — at the center of everything they do.
    • dezembro 2015
      Fonte: United Nations Development Programme
      Carregamento por: Misha Gusev
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      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • julho 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      This dataset contains indicators related to Education for provincial level.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      This indicator presents internationally comparable data regarding the labour force status and the educational attainment level by the National Educational Attainment Categories (NEAC) as reported by the labour force survey (LFS) and published in OECD Education at a Glance 2017. For trend data, the Education at a Glance Database includes data from 1981 to 2016 (or years with available data).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 abril, 2019
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      The nature of expenditure distinguishes between current and capital expenditure. The resource category refers to service provider (public institutions, government-dependent private institutions, and independent private institutions, i.e. both educational and other 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).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      All entities that provide funds for education, either initially or as final payers, are classified as either governmental (public) sources or non-governmental (private) sources, the sole exception being "international agencies and other foreign sources", which are treated as a separate category. There are three types of financial transactions: Direct expenditure on educational institutions; Transfers to students or households and to other private entities; and Households' expenditure on education outside educational institutions.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      These indicators on expenditure on education are published in chapter C of Education at a Glance, which covers financial and human resources invested in education.They are either policy levers or provide context information on education systems, or sometimes both. For example, expenditure per student is a key policy measure that most directly affects the individual learner, as it acts as a constraint on the learning environment in schools and learning conditions in the classroom.The data set “educational finance indicators” provides the main indicators computed for three levels of education : primary, secondary and post-secondary non-tertiary levels combined; tertiary level; and primary to tertiary levels combined. Other datasets provide more breakdowns for each specific indicator.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      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.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      This dataset presents the average number of teachers by sex and age.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      This dataset presents the average number of teachers by sex and type of institution.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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    • janeiro 2019
      Fonte: U.S. Energy Information Administration
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      EIA's Annual Energy Outlook provides modeled projections of domestic energy markets through 2050, and it includes cases with different assumptions regarding macroeconomic growth, world oil prices, technological progress, and energy policies. Strong domestic production coupled with relatively flat energy demand allow the United States to become a net energy exporter over the projection period in most cases. In the Reference case, natural gas consumption grows the most on an absolute basis, and non-hydroelectric renewables grow the most on a percentage basis. The AEO is developed using the National Energy Modeling System (NEMS), an integrated model that captures interactions of economic changes and energy supply, demand, and prices. Energy market projections are subject to much uncertainty, as many of the events that shape energy markets and future developments in technologies, demographics, and resources cannot be foreseen with certainty.
    • novembro 2018
      Fonte: Climatescope
      Carregamento por: Knoema
      Acesso em 27 fevereiro, 2019
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      World: Electricity Prices
    • março 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      This dataset contains indicators related to Electricity, Gas and Water Supply for provincial level.
    • dezembro 2016
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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.
    • fevereiro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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).
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories, Vol. 4, Ch. 2 and 11(http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by crop and N content in residues.
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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.
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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.
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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    • fevereiro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.
    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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.
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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.
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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.
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
      Selecionar Conjunto de dados
      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.
    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      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).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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    • abril 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 maio, 2019
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      Employed migrants refer to the number of persons who changed their country of usual residence and were also employed during a specified brief period. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • setembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity and occupation, according to the latest versions of the International Standard Industrial Classification of All Economic Activities (ISIC) and International Standard Classification of Occupations (ISCO), respectively. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 setembro, 2018
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for a selection of categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 setembro, 2018
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 22 julho, 2019
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      Compared to men, women are less likely to work full-time, more likely to be employed in lower-paid occupations, and less likely to progress in their careers. As a result gender pay gaps persist and women are more likely to end their lives in poverty. This data looks at how many men and women are in paid work, who works full-time, and how having children and growing older affect women’s work patterns and earnings differently to men’s. It looks at how women bear the brunt of domestic and family responsibilities, even when working full-time. It also considers the benefits for businesses of keeping skilled women in the workplace, and encouraging them to sit on company boards. It looks at women’s representation in parliaments, judicial systems, and the senior civil service. It examines male and female employment in the wake of the crisis, and how women tend to be confined to the most vulnerable categories within the informal sector in developing countries.
    • outubro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity and occupation, according to the latest versions of the International Standard Industrial Classification of All Economic Activities (ISIC) and International Standard Classification of Occupations (ISCO), respectively. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 04 junho, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Employed migrants refer to individuals who changed their country of usual residence and were also employed during a specified brief period. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC Rev.4). Economic activity refers to the main activity of the establishment in which the person worked during the reference period (it does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works).
    • novembro 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 018 -- Employed persons by occupational group (Classification of Occupations 2010, levels 1 to 2), background country, sex and year 2010-2016 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_018.px License: http://creativecommons.org/licenses/by/4.0/ Hint: Occupational data can be filtered to different hierarchy levels of the classification (Level 1, Level 2) by entering in the Search field, e.g. Level 2. The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. 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. Background countries are specified in the table if the number of employed persons in the background country exceeds 99. © Tilastokeskus - Statistics Finland
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • novembro 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 24 março, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • abril 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). They should include all of those who are resident within the country and exercise an economic activity for a certain period of time, regardless of legal residency status or citizenship. Employed migrants refer to individuals who changed their country of usual residence and were employed during a specified brief period. Data are disaggregated by sex and age.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 setembro, 2018
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for a selection of categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • novembro 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 24 março, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCED).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the labour force estimates and projections methodological paper. 
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 setembro, 2018
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • maio 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 maio, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). They should include all of those who are resident within the country and exercise an economic activity for a certain period of time, regardless of legal residency status or citizenship. Employed migrants refer to individuals who changed their country of usual residence and were employed during a specified brief period. Data are disaggregated by sex and status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • setembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • setembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. Data are also disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. Data are also disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the labour force estimates and projections methodological paper. 
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity, which refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
      Selecionar Conjunto de dados
      The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. Concepts Classifications Data are collected by the OECD using the methodologies established by the Coordinating Working Party on Fishery Statistics (CWP) (www.fao.org/fishery/cwp/search/en). This inter-agency body, created in 1960 to develop common procedures and standards for the collation of fisheries statistics, provides technical advice on fishery statistical matters. Its handbook of Fishery Statistical Standards comprises definitions of the various concepts used in fishery statistics, with the exception of Government Financial Transfers which is unique to the OECD. All other statistics are based on the CWP definitions. The OECD, a partner with the CWP, additionally collects information on values for its landings and records the breakdown between the types of landings (i.e. landings in domestic ports, landings in foreign ports) data series which are not collected by the FAO. While a number of countries cover landings in a similar fashion, the same does not hold true for capacity (feet/meters, GRT/engine powers), or for employment for which both Full-time equivalents or numbers of people are used. The OECD therefore does not duplicate FAO statistics but requests complementary information to feed its analytical work.
    • fevereiro 2018
      Fonte: World Input-Output Database
      Carregamento por: Knoema
      Acesso em 11 fevereiro, 2019
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      Includes both employees and the self-employed.
    • maio 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 maio, 2019
      Selecionar Conjunto de dados
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age populion. Data by level of education are provided on the highest level of education completed.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to males.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to females.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • setembro 2019
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 27 setembro, 2019
      Selecionar Conjunto de dados
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 005 -- Energy import and export by country, % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_005_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary
    • setembro 2019
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 27 setembro, 2019
      Selecionar Conjunto de dados
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 006 -- Energy import and export by country, proportion % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_006_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary
    • setembro 2019
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 27 setembro, 2019
      Selecionar Conjunto de dados
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Energy import and export by country http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_004_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description Consepts and definitions *Year preliminary
    • outubro 2018
      Fonte: Knoema
      Carregamento por: Knoema
      Acesso em 02 outubro, 2018
      Selecionar Conjunto de dados
    • maio 2018
      Fonte: Federal Institute for Geosciences and Natural Resources
      Carregamento por: Knoema
      Acesso em 16 maio, 2018
      Selecionar Conjunto de dados
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
      Selecionar Conjunto de dados
      Number of students enrolled in different education programmes by age and sex.
    • maio 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 maio, 2019
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      This dataset presents the number of students enrolled in different education programmes by field and sex.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      This indicator examines the share of students by gender, programme orientation and mode of study over the total number of students.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
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      Number of students enrolled in different education programmes by type of institution and sex.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      Number of students by level of education, adjusted to the financial year. When financial year, school year and calendar year differs, adjustments are made to ease comparison.
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 março, 2019
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      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      Enrolment rate per age is the percentage of students enrolled in each type of institution over the total of students
    • julho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 16 julho, 2019
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      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 2009-2017, 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.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      Entrepreneurship is crucial to economic development, promoting social integration and reducing inequalities. The Gender-entrepreneurship dataset presents an original collection of indicators that measure gender equality in entrepreneurship, providing an important reference for policy insights and policy making. Data refer mainly to the self-employed, their profile, age, education and sector of activity.
    • janeiro 2018
      Fonte: Yale Center for Environmental Law & Policy
      Carregamento por: Knoema
      Acesso em 02 fevereiro, 2018
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      Data cited at: Wendling, Z. A., Emerson, J. W., Esty, D. C., Levy, M. A., de Sherbinin, A., et al. (2018). 2018 Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/   The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally-comparable measure of the stringency of environmental policy. Stringency is defined as the degree to which environmental policies put an explicit or implicit price on polluting or environmentally harmful behaviour. The index ranges from 0 (not stringent) to 6 (highest degree of stringency). The index covers 28 OECD and 6 BRIICS countries for the period 1990-2012. The index is based on the degree of stringency of 14 environmental policy instruments, primarily related to climate and air pollution.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
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      EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases. As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived: Growth contribution of natural capital - measures to what extent a country's growth in output is attributable to natural resource use; Growth adjustment for pollution abatement - measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the ‘excess' growth which is generated at the expense of environmental quality.
    • agosto 2011
      Fonte: Multiple Sources
      Carregamento por: Knoema
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      A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
    • outubro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 07 outubro, 2019
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      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only. Population_Estimates:_Concepts,_Sources_and_Methods_2009
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 18 fevereiro, 2019
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      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.
    • setembro 2015
      Fonte: Multiple Sources
      Carregamento por: Knoema
      Acesso em 10 setembro, 2015
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    • julho 2019
      Fonte: European Commission
      Carregamento por: Knoema
      Acesso em 13 setembro, 2019
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      Dataset includes European Economic economic forecast releases from Winter 2018 through Summer 2019(Interim).
    • julho 2017
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 30 agosto, 2017
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      Note: For latest data, please contact us: https://knoema.com/contact  
    • outubro 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 22 outubro, 2015
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      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.
    • setembro 2019
      Fonte: InterNations
      Carregamento por: Knoema
      Acesso em 18 setembro, 2019
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      In its sixth year, Expat Insider, one of the world’s largest and most comprehensive surveys on life abroad, has set yet another record: 20,259 participants from around the globe shared their experiences in 2019. Together, they represent 182 nationalities and are scattered across 187 countries or territories. Although a few destinations attract a majority of expats — three in ten live in Germany, the USA, Switzerland, the UK, or the UAE — the Expat Insider 2019 survey also includes responses from more unusual expat destinations such as Aruba, Turkmenistan, or Vanuatu.
    • setembro 2014
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2014
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      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.
    • julho 2012
      Fonte: Knoema
      Carregamento por: Knoema
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      Source : United States Department of Agriculture; International Monetary Fund; UN Department of Economic and Social Affairs; Food and Agriculture Organization, The World Bank
    • maio 2019
      Fonte: U.S. Department of Agriculture
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
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      The Dataset contain data on expenditures on food (including nonalcoholic beverages), alcoholic beverages, and tobacco as a share of consumer expenditures on all goods and services for 86 countries. The tables also contain data on per capita consumer expenditures on goods and services, as well as per capita food expenditures for these countries. Data is available for the 104 countries for which this type of information is currently available in the source database, Euromonitor International. All expenditure data are in current U.S. dollars.
    • agosto 2017
      Fonte: Ministry of Statistics and Programme Implementation, India
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      Title: Export Growth and Share in World Exports for India and Other Countries   Description: Export Value, Export growth rate, and share in world exports for India and other countries have been furnished in the data. Exporting is the act of producing goods or services in one country and selling or trading them to another country.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: Export; Growth; Rate; World   Group: Import Export   Sectors: Statistics; All   Note: EDEs stand for emerging and developing economies. Original Data Source: Computed from IMF, International Financial Statistics, March 2013 and published in Statistical Year Book-2014 by MoSPI.
    • março 2017
      Fonte: Statistics Bureau of Japan
      Carregamento por: Knoema
      Acesso em 08 janeiro, 2019
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      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Export by Area and Country F.Y.
    • março 2017
      Fonte: Statistics Bureau of Japan
      Carregamento por: Knoema
      Acesso em 21 junho, 2019
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      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Export by Area and Country Month
    • fevereiro 2015
      Fonte: World Integrated Trade Solution
      Carregamento por: Knoema
      Acesso em 04 janeiro, 2019
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      The Export of Value Added (EVA) dataset illustrates the strength of economy- wide linkages. It provides data on how value added structures and services linkages to trade have evolved over time. Thanks to repeated updating of the GTAP dataset, we have data for both cross border linkages in recent years, and how these have changed since the early 1990s. This serves as the basis for the database, which builds on Christen, Francois, and Hoekman (2012) and Francois, Manchin, and Tomberger (2012). We work with a panel of global input-output data (a set of global social accounting matrices spanning intermittent years from 1992 to 2011) that covers not only key OECD economies, but also a range of developing countries as well. Sector_GMatrix:  This matrix contains the total domestic value added based on linkages. Depending whether rows or columns are considered its sum corresponds to forward (row) or backward (colunn) linkages. Thus reading a row for a given sector (sector presented on the y-axis) provides information about how much this sector went into each sector (on the x-axis) as inputs DomVAshare: This vector denotes the domestic share of value added of gross value of output per sector. GXshare: Denotes the share of each sector in total exports per country based on the gross value of exports. DXshare: Denotes the share of each sector’s exports of total exports per country based on direct value added, ignoring linkages. VXsharefwd: Denotes the total value added in exports based on forward linkages per sector and country. VXsharebwd: Denotes the total value added in exports based on backward linkages. It is obtained by taking the column-sums of matrix H.
    • janeiro 2019
      Fonte: Statistics Mauritius
      Carregamento por: Knoema
      Acesso em 29 janeiro, 2019
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      Data cited at: https://mauritius.opendataforafrica.org/sibqotb Quarterly survey of employment among all EOE is done on a quarterly basis and the reference date is the last Thursday of the last month of the reference quarter. Exports and imports data are obtained on a monthly basis from the Customs Department of the Mauritius Revenue Authority. Details on the compilation method and procedures are available in the quarterly Economic and Social Indicator entitled 'Export Oriented Enterprises' at http://statsmauritius.govmu.org/English/StatsbySubj/Pages/Manufacturing.aspx.
    • maio 2016
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 abril, 2019
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    • maio 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 30 julho, 2019
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      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with "world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC).
    • março 2019
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 13 março, 2019
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    • outubro 2018
      Fonte: National Institution for Transforming India-NITI Aayog
      Carregamento por: Knoema
      Acesso em 06 setembro, 2019
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      Title: Exports of Textile Products   Description: Get data on Exports of Textile Products like Fibre, Raw Silk, Silk Waste, Wool, Fine, Coarse Animal Hair, Wool Waste, Raw Cotton, Cotton Waste, Flax, Jute, Other Vegetable Fibre, Synthetic/Artificial Filament Tow, Man Made Staple Fibre, Yarn, Silk Yarn, Wool Yarn, Yarn of Animal Hair, Cotton Yarn, Cotton Sewing Thread, Flax Yarn, Jute Yarn, Other Vegetable Yarn, Man Made Filament Yarn, 100% Non Cotton Yarn and Sewing Thread, Fabrics, Silk Fabrics, Wool Fabrics, Woven fabrics of Cotton, Woven Fabrics of Flax and jute, Other Vegetable Fibres, Man Made Woven Fabrics, Pile Fabrics, Other knitted or Crocheted Fabrics, Special Woven and Tufted Fabrics, Articles of Apparel and Clothing Accessories, Make Up Articles and Carpets etc.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: Fibre; Wool; Fine; Flax; jute; Yarn; Fabrics; Industry; Raw; Silk; Waste; Coarse; Animal; Hair; cotton; Vegetable; Synthetic; Artificial; Filament; Tow; Man; Made; Staple; Sewing; Thread; Woven; Pile; Knitted; Crocheted; Special; Tufted; Article; Apparel; Clothing; Accessories; Carpet   Group: India Exports   Sectors: Textiles; Industries   Note: Figures are in INR million; Source: Office of the Textile Commissioner ; Compiled by Planning Commission; NA: Not Available.
    • setembro 2019
      Fonte: Department of Statistics, Singapore
      Carregamento por: Knoema
      Acesso em 13 setembro, 2019
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      Prior to January 2003, merchandise trade data excludes Singapore's merchandise trade with Indonesia.
    • novembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
    • setembro 2013
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2013
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      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
    • maio 2017
      Fonte: Islamic Development Bank
      Carregamento por: Knoema
      Acesso em 15 junho, 2017
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    • dezembro 2014
      Fonte: Department of Statistics, Jordan
      Carregamento por: Knoema
      Acesso em 20 maio, 2019
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    • maio 2019
      Fonte: Statistics Norway
      Carregamento por: Knoema
      Acesso em 17 maio, 2019
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      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • outubro 2019
      Fonte: Statistics Norway
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • julho 2019
      Fonte: State Statistical Office, Republic of North Macedonia
      Carregamento por: Knoema
      Acesso em 10 julho, 2019
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      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • outubro 2019
      Fonte: State Statistical Office, Republic of North Macedonia
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      Methodological explanationsSymbols used Source: State Statistical Office Year 2018 preliminary data
    • dezembro 2018
      Fonte: Statistics Denmark
      Carregamento por: Knoema
      Acesso em 16 agosto, 2019
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    • dezembro 2015
      Fonte: National Center for Statistics and Economic Studies, Republic of Congo
      Carregamento por: Knoema
      Acesso em 12 julho, 2019
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      Data cited at: https://rcongo.opendataforafrica.org/TREOC2015 This Dataset describes the list of common indicators from Trade External Data Of Congo
    • junho 2019
      Fonte: Maximiliano Herrera's Human Rights Site
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
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      Data cited at: Maximiliano Herrera's Human Rights Site    Fahrenheit values calculated using formula. Fahrenheit  T(°F) = T(°C) × 9/5 + 32 for Country data calculated average for each country locations.
  • F
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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      In view of the strong demand for cross-national indicators on the situation of families and children, the OECD Family Database was developed to provide cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. The database brings together information from various national and international databases, both from within the OECD and from external organisations. The database classifies indicators into four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes. Detailed information on the definitions, sources and methods used in the construction of the database can be found on the OECD Family Database webpage.
    • maio 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • julho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 24 julho, 2019
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      Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. The choice of the indicators has been informed by expert judgment and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available.
    • outubro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 20 novembro, 2018
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      The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • novembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • março 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • março 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      The Fertilizers by Product dataset contains information on product amounts for the Production, Trade, Agriculture Use and Other Uses of chemical and mineral fertilizers products, over the time series 2002-present. The fertilizer statistics data are validated separately for a set of over thirty individual products. Both straight and compound fertilizers are included.
    • outubro 2011
      Fonte: Food and Agricultural Policy Research Institute
      Carregamento por: Knoema
      Acesso em 25 dezembro, 2012
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      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      An occupational injury is defined as any personal injury, disease or death resulting from an occupational accident; The case is fatal where death occurred within one year of the day of the accident. Data provided refers to new fatal occupational injuries per 100'000 in reference group coverage.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      The incidence rate is the average number of new cases of fatal occupational injury during the calendar year per 100,000 workers in the reference group. Data are presented disaggregated by sex and economic activity, according to the latest version available of the International Standard Industrial Classification of all Economic Activities (ISIC).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
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      The incidence rate is the average number of new cases of fatal occupational injury during the calendar year per 100,000 workers in the reference group.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 17 abril, 2019
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    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 20 agosto, 2019
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      FDI statistics cover all entities in an FDI relationship. An FDI relationship is established when an investor in one country acquires 10% or more of the voting power in a business enterprise in another country. The investor is also called a direct investor or a parent and the business enterprise is called a direct investment enterprise or an affiliate. The 10 percent criteria is used to establish that the direct investor has a significant degree of influence over the operations of the direct investment enterprise. The FDI population includes affiliates that are directly and indirectly owned by the parent. In direct ownership, the parent owns the 10% or more voting power itself. In indirect ownership, the parent controls an affiliate that in turn owns 10 percent or more of the voting power in another enterprise. The FDI population also includes enterprises that are not in a direct investment relationship themselves but have a direct investor in common. Called fellow enterprises, they are included because, even though there is no direct investment relationship between the two, any transactions between them likely resulted from the influence that their common direct investor has on both of their operations.
    • fevereiro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 26 junho, 2018
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      FDI data are based on statistics provided by 35 OECD member countries and by Lithuania. BMD4: OECD Benchmark Definition of Foreign Direct Investment - 4th Edition
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 março, 2019
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    • junho 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2018
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    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 30 abril, 2019
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    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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      The FDI Regulatory Restrictiveness Index (FDI Index) measures statutory restrictions on foreign direct investment across 22 economic sectors. It gauges the restrictiveness of a country’s FDI rules by looking at the four main types of restrictions on FDI: 1) Foreign equity limitations; 2) Discriminatory screening or approval mechanisms; 3) Restrictions on the employment of foreigners as key personnel and 4) Other operational restrictions, e.g. restrictions on branching and on capital repatriation or on land ownership by foreign-owend enterprises. Restrictions are evaluated on a 0 (open) to 1 (closed) scale. The overall restrictiveness index is the average of sectoral scores. The discriminatory nature of measures, i.e. when they apply to foreign investors only, is the central criterion for scoring a measure. State ownership and state monopolies, to the extent they are not discriminatory towards foreigners, are not scored. The FDI Index is not a full measure of a country’s investment climate. A range of other factors come into play, including how FDI rules are implemented. Entry barriers can also arise for other reasons, including state ownership in key sectors. A country’s ability to attract FDI will be affected by others factors such as the size of its market, the extent of its integration with neighbours and even geography among other. Nonetheless, FDI rules can be a critical determinant of a country’s attractiveness to foreign investors.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Source: OECD International direct investment database, IMF Reference:Benchmark Definition of Foreign Direct Investment, 3rd edition   Foreign direct investment reflects the objective of obtaining a lasting interest by a resident entity in one economy (‘‘direct investor'') in anentity resident in an economy other than that of the investor (‘‘direct investment enterprise''). The lasting interest implies the existence of a long-term relationship between the direct investor and the enterprise and a significant degree of influence on the management of the enterprise. Direct investment involves both the initial transaction between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data refers to the number of women employed in the agricultural sector as a percent of total employment in agriculture
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data refers to the number of women employed in the industry sector as a percent of total employment in industry.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 14 outubro, 2019
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      The female share of employment in managerial positions conveys the number of women in management as a percentage of employment in management. Employment in management is defined based on the International Standard Classification of Occupations. Two different measures are presented: one referring to total management (category 1 of ISCO-08 or ISCO-88), and another one referring to senior and middle management only, thus excluding junior management (category 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 and minus category 13 in ISCO-88). This indicator is calculated based on data on employment by sex and occupation. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      This indicator refers to the proportion of females in total employment in senior and middle management corresponding to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises. The indicator provides information on the proportion of women who are employed in decision-making and management roles in government, large enterprises and institutions.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data provided refers to the number of women employed in the services sector as a percent of total employment in services.
    • novembro 2017
      Fonte: International Fertilizer Industry Association
      Carregamento por: Knoema
      Acesso em 07 novembro, 2018
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      Assessment of Fertilizer Use by Crop at the Global Level 2015. Fully understanding the contribution of the different crop types to fertilizer use at national, regional and global levels is a prerequisite to the development of sound fertilizer demand forecasts. IFA gathers information on fertilizer use by crop in the main fertilizer-consuming countries. IFA’s country estimates currently cover 28 countries (considering the European Union (EU-28) as a single country). These countries account together for 94% of world fertilizer consumption.
    • dezembro 2017
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      The dataset contains data on Import and Export Value (expressed in 1000 USD) for a selected list of fertilizers, from 1961 on wards. Country and country aggregate data are available. The fertilizers covered are: Nitrogenous fertilizers; Phosphate fertilizers; Potash fertilizers; Fertilizers Manufactured, nes; Fertilizers, Organic; Natural Phosphates; Natural Potassic Salts; Natural Sodium Nitrate.
    • julho 2019
      Fonte: International Federation of Association Football
      Carregamento por: Knoema
      Acesso em 24 agosto, 2019
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      Monthly updates of FIFA World Football Men's Ranking 
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 julho, 2019
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      Chapter B includes indicators that are either policy levers or antecedents to policy, or sometimes both. For example, expenditure per student is a key policy measure that most directly affects the individual learner, as it acts as a constraint on the learning environment in schools and learning conditions in the classroom.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      This indicator is a proxy for the quality of health care. It represents the percentage of the population without access to health care due to financial resource deficit. The threshold for having sufficient financial resources is US$239 per person per year. A higher figure indicates worse levels of coverage. To estimate the quality of health care, this indicator uses as a proxy the relative difference between per capita health expenditure in a given country and its median value in countries with a low level of vulnerability.To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • setembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 23 setembro, 2019
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      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • agosto 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 16 agosto, 2019
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      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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    • setembro 2019
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 20 setembro, 2019
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.
    • dezembro 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 17 dezembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Population by main type of activity, nationality, occupational status, sex, age and year 2000-2017* http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. 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 table if the number of people in the citizenship group exceeds 99. © Tilastokeskus - Statistics Finland
    • março 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 008 -- Nationality according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_008.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish)Nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.Nationality Czech Republic Czech Republic + Former CzechoslovakiaSudan Sudan + Former Sudan
    • março 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 009 -- Finnish citizens with dual nationality by age and second nationality in 2000 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_009.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Second nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. Second nationality Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • dezembro 2018
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 07 março, 2019
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      The IMF’s Fiscal Decentralization Dataset compiles indicators widely used by academics and policymakers to assess recent trends, conduct benchmark analysis, and identify the causes, and consequences of fiscal decentralization for a global sample of IMF members.   Fiscal decentralization indicators are computed using fiscal data on flows and stocks of the general government sector disaggregated between central and subnational government subsectors (state/provincial/regional, and local) measured within the framework of the Government Finance Statistics Manual, 2014.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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      The dataset Fisheries International collaboration in technology development (bilateral) provides the number of co-inventions (simple patent families) developed jointly by at least two inventors. This indicator is disaggregated by: Country - country of residence of the inventor(s), integral counted; in cases when inventors from more than two countries collaborate, this is translated into distinct bilateral relationships between country pairs. For example, if inventors from 3 countries collaborate (e.g. USA, DEU, JPN) then a unit count is assigned to 6 country pairs (USA-DEU, USA-JPN, DEU-JPN, DEU-USA, JPN-USA, JPN-DEU); in this case a country generally coordinate the project and the others are partners. Partner – country of residence of the inventor(s) who collaborate to the patent. Technology domain – the three main areas of innovation in fisheries and aquaculture, related to technology development. In detail: 1. Harvesting technology such as more effective ways to find or harvest fish and which are typically associated with improvements in catch per unit of effort (e.g. type/size of vessels and their methods of propulsion, search technologies, method of catching or harvesting fish and bringing them on board); 2.Aquaculture technology such as methods to more effectively grow fish in captivity (innovation in feeds, improving the health of aquaculture animals, etc.); 3. New products and markets such as the development of new fish products and markets (food technologies/processing such as the development of surimi as a crabmeat substitute) and the improvement of market access (secure or enlarge markets for fish products) that provides important incentives for green growth (e.g. eco-certification with fishers adopting by-catch saving technologies or modifying fishing practices and/or territorial user rights in fisheries).
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 março, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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      The Fisheries R&D expenditures dataset contains the budgetary expenditures in research and development on total budgetary FSE. Three variables are presented in this dataset:  • R&D expenditures - they are budgetary expenditures that finance research and development activities related to fisheries, irrespective of the institution (private or public, ministry, university, research centre or fisher group) or where they take place, the nature of research (scientific, institutional, etc.), or its purpose. The focus is on research and development expenditures on applied research related to the fisheries sector. Social-sciences research related to fisheries is included. It is also included data dissemination when associated primarily with research and development (knowledge generation), e.g. reports from research and databases developed as an adjunct to research. •FISHERIES SUPPORT ESTIMATE - Budgetary - it is the annual monetary value of gross transfers from taxpayers to fishers arising from policy measures that support fisheries, regardless of their nature, objectives or impacts. Data on FSE are collected by the Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) on an annual basis from all its participating countries. Data are provided by Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. The original financial data is collected in national currency at current values; they are converted and published also in US dollars, for analytical purposes and to allow data comparisons. • Share of R&D expenditures on FSE - it is the share of budgetary research and development expenditures on total budgetary FSE. Please notice that total budgetary FSE is defined ‘net’, i.e. it is adjusted for costs incurred by fishers in order to receive the support. Whenever these costs are of significant amount, total budgetary FSE becomes remarkably low or negative. The corresponding share of research and development expenditures turns into a percentage exceptionally high or negative.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      The OECD Fisheries Support Estimates (FSE) database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies.   It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies.   These tables report country programmes data aggregated according to the main categories presented in the FSE Manual.   More detailed documentation on country programmes can be found in country-level metadata; more data on country programmes can be found in the full dataset (Excel Format - link provided below). Statistics are organized in pivot tables to make possible cross-country comparisons and to filter disaggregated policy-level data by policy implementation criteria and country.   The FSE data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies.   Data on landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 março, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • janeiro 2019
      Fonte: Statistics Indonesia
      Carregamento por: Knoema
      Acesso em 17 julho, 2019
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      This dataset contains indicators related to Fishery for provincial level.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      Fisheries fleet: The FAO has a two dimensional definition, of which the OECD only uses the concept of fishing vessel. Fishery Fleet: The term "fishery fleet" or "fishery vessels" refers to mobile floating objects of any kind and size, operating in freshwater, brackishwater and marine waters which are used for catching, harvesting, searching, transporting, landing, preserving and/or processing fish, shellfish and other aquatic organisms, residues and plants. Fishing vessel: The term "fishing vessel" is used instead when the vessel is engaged only in catching operations. Gross Register Tonnage: The Gross Register Tonnage represents the total measured cubic content of the permanently enclosed spaces of a vessel, with some allowances or deductions for exempt spaces such as living quarters (1 gross register ton = 100 cubic feet = 2.83 cubic metres).
    • setembro 2017
      Fonte: United Nations World Food Programme
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • setembro 2017
      Fonte: United Nations World Food Programme
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • setembro 2017
      Fonte: United Nations World Food Programme
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • dezembro 2017
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • janeiro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
    • setembro 2017
      Fonte: Knoema
      Carregamento por: Knoema
      Acesso em 11 setembro, 2017
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      Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
    • fevereiro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • janeiro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • setembro 2014
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2014
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      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • julho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 09 agosto, 2019
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    • agosto 2019
      Fonte: Department for Promotion of Industry and Internal Trade, India
      Carregamento por: Knoema
      Acesso em 30 setembro, 2019
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      Foreign Direct Investment, Sector Wise in India
    • junho 2019
      Fonte: Department of Statistics, Malaysia
      Carregamento por: Knoema
      Acesso em 26 julho, 2019
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    • maio 2019
      Fonte: Open Data Platform, Mexico
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      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. 1999-2018.
    • setembro 2019
      Fonte: Department of Statistics, Singapore
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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      Foreign Direct Investment In Singapore By Country/Region And Major Industry (Stock As At Year-End), Annual 'na' denotes 'not available' or 'not applicable'. '-' denotes 'nil' or 'negligible' or 'not significant'. The industries are classified according to Singapore Standard Industrial Classification 2015 (Version 2018).
    • abril 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 11 outubro, 2019
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      Direct investment arises when an investor resident in one economy makes an investment that gives control or a significant degree of influence on the management of an enterprise that is resident in another economy. Portfolio investment is defined as cross border transactions and positions involving debt or equity securities, other than those included in direct investment or reserve assets.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      FDI statistics cover all entities in an FDI relationship. An FDI relationship is established when an investor in one country acquires 10% or more of the voting power in a business enterprise in another country. The investor is also called a direct investor or a parent and the business enterprise is called a direct investment enterprise or an affiliate. The 10 percent criteria is used to establish that the direct investor has a significant degree of influence over the operations of the direct investment enterprise.   The FDI population includes affiliates that are directly and indirectly owned by the parent. In direct ownership, the parent owns the 10% or more voting power itself. In indirect ownership, the parent controls an affiliate that in turn owns 10 percent or more of the voting power in another enterprise.   The FDI population also includes enterprises that are not in a direct investment relationship themselves but have a direct investor in common. Called fellow enterprises, they are included because, even though there is no direct investment relationship between the two, any transactions between them likely resulted from the influence that their common direct investor has on both of their operations.
    • abril 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 11 outubro, 2019
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      Direct investment arises when an investor resident in one economy makes an investment that gives control or a significant degree of influence on the management of an enterprise that is resident in another economy. FDI net inflows are the value of inward direct investment made by non-resident investors in the reporting economy
    • julho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt.   FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated.
    • setembro 2019
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 06 outubro, 2019
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 001 -- Foreign direct investments by country 2013- http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__yri__ssij/statfin_ssij_pxt_001.px License: http://creativecommons.org/licenses/by/4.0/ ..=Information is confidential .=Information is missing Description of statistics Concepts and definitions
    • abril 2019
      Fonte: Ministry of Foreign Affairs, Myanmar
      Carregamento por: Knoema
      Acesso em 27 setembro, 2019
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      Investment Statistics of Myanmar
    • agosto 2018
      Fonte: General Authority for Statistics, Kingdom of Saudi Arabia
      Carregamento por: Shakthi Krishnan
      Acesso em 10 setembro, 2018
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    • junho 2019
      Fonte: Ministry of Finance, R.O.C. (Taiwan)
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.   2019 values are year to date
    • outubro 2019
      Fonte: U.S. Census Bureau
      Carregamento por: Knoema
      Acesso em 11 outubro, 2019
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    • maio 2018
      Fonte: World Trade Organization
      Carregamento por: Knoema
      Acesso em 23 abril, 2019
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      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • julho 2019
      Fonte: Ministry of Economy, Commercial Information System Via Internet, Mexico
      Carregamento por: Knoema
      Acesso em 27 agosto, 2019
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      Oil and Gas of Mexico
    • setembro 2019
      Fonte: Bahrain Open Data Portal
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
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      The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyses or application
    • janeiro 2019
      Fonte: National Statistics Institute, Cabo Verde
      Carregamento por: Knoema
      Acesso em 10 julho, 2019
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    • janeiro 2019
      Fonte: German Chemicals Industry Association
      Carregamento por: Knoema
      Acesso em 19 fevereiro, 2019
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      Chemistry facts and figures of Foreign Trade, Germany Facts and figures for chemistry (2017), Foreign Trade
    • dezembro 2018
      Fonte: National Institute of Statistics of Djibouti
      Carregamento por: Knoema
      Acesso em 13 setembro, 2019
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      Foreign Trade of Djibouti
    • julho 2019
      Fonte: National Bank of Ethiopia
      Carregamento por: Knoema
      Acesso em 23 setembro, 2019
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      Direction of Trade of Ethiopia
    • março 2017
      Fonte: Reserve Bank of India
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      This dataset covers the following public data available at RBI website. 1. Direction of Foreign Trade (in USD $ RS.) Notes: Financial Year 2015-2016 and 2016-2017 is taken as 2016, 2017
    • dezembro 2018
      Fonte: Economic Timeseries Database-Economic Research and Policy Department, Central Bank of the Islamic Republic of Iran
      Carregamento por: Knoema
      Acesso em 29 março, 2019
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      Foreign Trade, Iran
    • setembro 2019
      Fonte: Kuwait Central Statistical Bureau
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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    • junho 2018
      Fonte: Lao Statistics Bureau
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      This data set contains information of The statistics yearbook 2017 is compiled and published by Lao statistics Bureau, Ministry of Planning and Investment. Lao statistics Bureau of expressing gratitude provincial statistics Centre, line ministries involved, ministry-equivalent agencies and other parties to contribute to compile statistical data Economic, Social and Natural Resources and Environment cooperation throughout, Lao Statistics Bureau welcome the proposal, comments and feedback to guide the improvement this magazines better. Meanwhile, the Lao Statistics Bureau express thanks to highly among those interested in using information and statistics to Lao Statistics Bureau.
    • dezembro 2018
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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    • agosto 2018
      Fonte: National Bureau of Statistics, Maldives
      Carregamento por: Knoema
      Acesso em 07 junho, 2019
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    • maio 2019
      Fonte: Pakistan Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 07 maio, 2019
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    • agosto 2019
      Fonte: Ministry of Development Planning and Statistics, Qatar
      Carregamento por: Knoema
      Acesso em 04 setembro, 2019
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      Qatar: Foreign Merchandise Trade The foreign trade data reflects a clear image of the stages of economical growth in the State of Qatar, as it shows the commodities flow in the shape of national exports, re-exports, and imports to / from different countries of the world. The foreign trade tables contains detailed data for visible imports by country of origin and Exports and Re-Exports by country of destination. The commodity tables are classified by sections and items of the Harmonized System (H.S.) issued by World Customs Organization, which was adapted according to GCC’s needs to meet the actual movement of foreign trade in the region, in addition to other statistical tables. The customs declaration entry issued by Customs Department is the main source of statistical information according to the Special Trade System adopted by the State of Qatar.
    • maio 2019
      Fonte: Saudi Arabian Monetary Agency
      Carregamento por: Knoema
      Acesso em 31 maio, 2019
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      Data cited at: Saudi Arabian Monetary Agency-SAMA
    • abril 2019
      Fonte: Central Bank of Somalia
      Carregamento por: Knoema
      Acesso em 19 setembro, 2019
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      Trade Statistics of Somalia
    • novembro 2018
      Fonte: Federal Competitiveness and Statistics Authority, United Arab Emirates
      Carregamento por: Knoema
      Acesso em 13 novembro, 2018
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      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • abril 2019
      Fonte: Uganda Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
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    • agosto 2019
      Fonte: Statistics Sweden
      Carregamento por: Knoema
      Acesso em 21 agosto, 2019
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      country of birthKosovo: 2008-03-04, Sweden declared Kosovos independence.country of birthData for countries with fewer than 100 persons in total are reported in the country group other countries of birth.Population for all countries of birth is reported in this table: Population by country of birth, age and sex.years since last immigrationYears since last immigration to Sweden is based on registered year of immigration. 0 years means that immigration to Sweden took place during the reference year, 1 year means that immigration took place the year before the reference year, etc.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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    • janeiro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      The database contains data on the production and trade in roundwood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Roundwood removals (production) by type of wood and assortment - Production and trade in roundwood, woodfuel and other basic products - Industrial roundwood by assortment and species - Sawnwood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
    • junho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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    • dezembro 2016
      Fonte: Carbon Dioxide Information Analysis Center
      Carregamento por: Knoema
      Acesso em 17 maio, 2017
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      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
    • abril 2019
      Fonte: Fund for Peace
      Carregamento por: Knoema
      Acesso em 15 maio, 2019
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      Data cited at: Fragile States Index - https://fragilestatesindex.org/ The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
    • dezembro 2018
      Fonte: Freedom House
      Carregamento por: Knoema
      Acesso em 07 março, 2019
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      Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for many countries. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • abril 2012
      Fonte: Agi Data
      Carregamento por: Knoema
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      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
    • abril 2017
      Fonte: Freedom House
      Carregamento por: Knoema
      Acesso em 09 outubro, 2018
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      Variables converted from character to numeric as follow:Variables under consideration are top 3 vars i.e. Status, print and Broadcast 1 = Free (F) 2 = Partly Free (PF) 3 = Not Free (NF) Under source it values are present like: "F" , "PF" and "NF"  Note:- Date range has been considered as follow: Jan.1981-Aug.1982 is considered as 1982 Aug.1982-Nov.1983 is considered as 1983 Nov.1983-Nov.1984 is considered as 1984 Nov.1984-Nov.1985 is considered as 1985 Nov.1985-Nov.1986 is considered as 1986 Nov.1986-Nov.1987 is considered as 1987   About Freedom of the press: Freedom of the Press, an annual report on media independence around the world which assesses the degree of print, broadcast, and digital media freedom in 199 countries and territories. Published since 1980, it provides numerical scores and country narratives evaluating the legal environment for the media, political pressures that influence reporting, and economic factors that affect access to news and information. Freedom of the Press is the most comprehensive data set available on global media freedom and serves as a key resource for policymakers, international institutions, journalists, activists, and scholars worldwide.
    • fevereiro 2019
      Fonte: Freedom House
      Carregamento por: Knoema
      Acesso em 21 março, 2019
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      Freedom on the Net measures the subtle and not-so-subtle ways that governments and non-state actors around the world restrict our intrinsic rights online. Freedom on the Net scores are based on a scale of 0 to 100 with 0 representing the best level of freedom on the net progress and 100 the worst. Note: 1)The 2017 ratings reflect the period of June 1, 2016 through May 31, 2017 2)The 2016 ratings reflect the period of June 1, 2015 through May 31, 2016. 3)The 2015 ratings reflect the period January 1 through December 31, 2014.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 julho, 2019
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      This table contains data on full-time and part-time employment based on a common definition of 30-usual weekly hours of work in the main job. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total). Unit of measure used - Data are expressed in thousands of persons.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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      This dataset contains incidences and gender composition of part-time employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). Part-time employment is based on national definitions.  The definition of part-time work varies considerably across OECD countries Essentially three main approaches can be distinguished: i) a classification based on the worker’s perception of his/her employment situation; ii) a cut-off (generally 30 or 35 hours per week) based on usual working hours, with persons usually working fewer hours being considered part-timers; iii) a comparable cut-off based on actual hours worked during the reference week. A criterion based on actual hours will generally yield a part-time rate higher than one based on usual hours, particularly if there are temporary reductions in working time as a result of holidays, illness, short-timing, etc. On the other hand, it is not entirely clear whether a classification based on the worker’s perception will necessarily yield estimates of part-time work that are higher or lower than one based on a fixed cut-off. In one country (France) which changed from 1981 to 1982 from a definition based on an actual hours cut-off (30 hours) to one based on the respondent’s perception, the latter criterion appeared to produce slightly higher estimates.
    • maio 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 maio, 2019
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      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • março 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 maio, 2018
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      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf.  Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 abril, 2019
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      The Future of Business Survey is an original source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the survey is a partnership between Facebook, OECD, and the World Bank. It provides timely information on business owners’ assessment of the current state and future outlook of their business, job creation perspectives, main business challenges and participation in international trade. Several data breakdowns are available, in particular by size of the enterprise, age, sector, trading status and gender of owners or managers.
  • G
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey.   The G20 CPI has been calculated for the headline indicators only (CPI All items / HICP Total). It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year's relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs).
    • outubro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 outubro, 2019
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      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries (with the exception of Turkey) that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey. It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year’s relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). The table presents the data for all non-EU countries. The HICP tables for France, Germany, Italy, the United Kingdom, and the euro area and European Union can be found under the HICP tables.
    • abril 2012
      Fonte: World Trade Organization
      Carregamento por: Knoema
      Acesso em 06 maio, 2019
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      Index score per member for selected services sectors For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors of a sector grouping.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs, for each sub-sector.  The index value is for both mode 1 (cross-border trade) and mode 3 (commercial presence).  The score for EU commitments is for the EC-15.   
    • setembro 2017
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 14 novembro, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
    • setembro 2017
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 08 novembro, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • setembro 2017
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 27 outubro, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.
    • março 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 29 agosto, 2019
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      Data cited at: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Health-related Sustainable Development Goals (SDG) Indicators 1990-2030. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2017. The United Nations established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 232 indicators leading up to 2030. Drawing from GBD 2017, this dataset provides estimates on progress for 41 health-related SDG indicators for 195 countries and territories from 1990 to 2017, and projections, based on past trends, for 2018 to 2030. Estimates are also included for the health-related SDG index, a summary measure of overall performance across the health-related SDGs.
    • novembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 23 novembro, 2018
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      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level. This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.
    • setembro 2019
      Fonte: Global Database of Events, Language, and Tone
      Carregamento por: Knoema
      Acesso em 09 setembro, 2019
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      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • outubro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • outubro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • julho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
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      Gross Domestic Product
    • janeiro 2017
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 09 fevereiro, 2017
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      This dataset includes gender inequality and development indices.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/