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Nova Zelândia

  • Governador Geral:Dame Patsy Reddy
  • Primeiro Ministro:Jacinda Ardern
  • Capital:Wellington
  • Línguas:English (de facto official) 89.8%, Maori (de jure official) 3.5%, Samoan 2%, Hindi 1.6%, French 1.2%, Northern Chinese 1.2%, Yue 1%, other or not stated 20.5%, New Zealand Sign Language (de jure official) note: shares sum to 120.8% due to multiple responses on census (2013 est.)
  • Governo
  • Estatísticas Nacionais Oficias
  • População, pessoas:4.885.500 (2018)
  • Área, km2:263.310
  • PIB per capita, US$:41.966 (2018)
  • PIB, bilhões em US$ atuais:205,0 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:1

Macroeconomic

Todos os conjuntos de dados:  A B C D E F G H I J K L M N O P Q R S T U V W Y И Р С
  • A
    • 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.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 julho, 2019
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      The “ALFS Summary tables” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics and broad population series for 34 OECD member countries plus Brazil, Columbia and Russian Federation and 4 geographical areas (Major Seven, Euro area, European Union and OECD-Total). Data are presented in thousands of persons, in percentage or as indices with base year 2010=100. This dataset contains estimates from the OECD Secretariat for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time. Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries’ data. Euro area and European Union data were extracted from Eurostat (LFS Series, Detailed annual survey results in New Cronos). Euro area refer to Euro area with 17 countries (geo = ea17). European Union refers to European Union with 27 countries (geo = eu27).
    • novembro 2019
      Fonte: European Commission
      Carregamento por: Knoema
      Acesso em 18 novembro, 2019
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      AMECO is the annual macro-economic database of the European Commission's Directorate General for Economic and Financial Affairs. The database is indispensable for the analyses and reports of the Directorate General and contains data for EU-28, the euro area, EU Member States, candidate countries and other OECD countries. The database contains data for EU-28, the euro area, EU Member States, candidate countries and other OECD countries (United States, Japan, Canada, Switzerland, Norway, Iceland, Mexico, Korea, Australia and New Zealand). Data for Member States and candidate countries are based on the ESA 2010 system for the last period and on ESA 95 and ESA 79 for the earlier years. Data for other OECD countries are based on the SNA 2008. Discontinuities of the levels of all series have been removed by applying the growth rates of the old series to the levels of the new series.
    • 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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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 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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  • B
    • 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.
    • abril 2014
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      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
    • fevereiro 2019
      Fonte: BP
      Carregamento por: Sandeep Reddy
      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.
    • 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.
  • C
    • setembro 2019
      Fonte: National Bureau of Statistics, Nigeria
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
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      Capital Importation into Nigeria
    • dezembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 13 dezembro, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • dezembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 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.
    • agosto 2019
      Fonte: Bank for International Settlements
      Carregamento por: Sandeep Reddy
      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
    • novembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 28 novembro, 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
    • dezembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 12 dezembro, 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.
    • dezembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 dezembro, 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).
    • 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 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 13 dezembro, 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).
    • 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    
    • 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
    • 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.
    • dezembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Sandeep Reddy
      Acesso em 05 dezembro, 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
  • D
  • E
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 22 novembro, 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 selected 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 14 November 2019.   Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for selected 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.
    • dezembro 2012
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 21 maio, 2013
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    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      This indicator measures the proportion of earnings that are lost to either higher taxes or lower benefit entitlements when a jobless person takes up employment. It is commonly referred to as "Participation Tax Rate (PTR)" as it measures financial disincentives to participate in the labour market.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      This indicator measures the proportion of earnings that are lost to either higher taxes, lower benefits or childcare costs when a parent with young children takes up full-time employment and requires use of centre-based childcare services.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      This indicator measures the fraction of any additional earnings that is lost to either higher taxes or lower benefits when an employed person increases their working hours.
    • 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 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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 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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      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: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 28 outubro, 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.
    • dezembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 13 dezembro, 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: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
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      Employment, participation rates: population aged 15-64; Unemployment rate: active population aged 15-64.   Rates as defined by the International Labour Organization.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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    • 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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).
    • 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 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.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 setembro, 2018
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      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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 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.
    • 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. 
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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).
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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).
    • 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. 
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 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.
    • 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.
    • 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.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
      Selecionar Conjunto de dados
    • agosto 2011
      Fonte: Knoema
      Carregamento por: Knoema
      Selecionar Conjunto de dados
      A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
    • maio 2012
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2015
      Selecionar Conjunto de dados
      The Scoreboard has been prepared from companies' annual reports and accounts received by an independent data provider.
    • novembro 2019
      Fonte: European Commission
      Carregamento por: Knoema
      Acesso em 19 novembro, 2019
      Selecionar Conjunto de dados
      Dataset includes European Economic economic forecast releases from Autumn 2017 through Autumn 2019.
  • F
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 17 abril, 2019
      Selecionar Conjunto de dados
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 20 agosto, 2019
      Selecionar Conjunto de dados
      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.
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 março, 2019
      Selecionar Conjunto de dados
    • fevereiro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 26 junho, 2018
      Selecionar Conjunto de dados
      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
    • junho 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 25 julho, 2018
      Selecionar Conjunto de dados
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 março, 2019
      Selecionar Conjunto de dados
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
      Selecionar Conjunto de dados
      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.
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 março, 2019
      Selecionar Conjunto de dados
    • junho 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2018
      Selecionar Conjunto de dados
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 30 abril, 2019
      Selecionar Conjunto de dados
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
      Selecionar Conjunto de dados
      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
      Selecionar Conjunto de dados
      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
      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 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 industry sector as a percent of total employment in industry.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 09 dezembro, 2019
      Selecionar Conjunto de dados
      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.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
      Selecionar Conjunto de dados
      The financial indicators in this dataset are constructed from OECD countries’ financial balance sheets (stocks): these ratios are considered as relevant to analyse the position and performance of the various institutional sectors. They comprise for instance: Financial net worth of Households and NPISHs, as a percentage of GDI; Non-financial corporations debt to equity ratio; Private sector debt; Leverage of the banking sector; General government debt, as a percentage of GDP.
    • dezembro 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 17 dezembro, 2018
      Selecionar Conjunto de dados
      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
    • novembro 2019
      Fonte: Statistics Denmark
      Carregamento por: Knoema
      Acesso em 18 novembro, 2019
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      Quarterly flow statistics on direct investment by type, principle, item, country, domestic economic activity and time
    • julho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 09 agosto, 2019
      Selecionar Conjunto de dados
    • junho 2019
      Fonte: Department of Statistics, Malaysia
      Carregamento por: Knoema
      Acesso em 26 julho, 2019
      Selecionar Conjunto de dados
    • maio 2019
      Fonte: Open Data Platform, Mexico
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
      Selecionar Conjunto de dados
      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.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
      Selecionar Conjunto de dados
      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.
    • agosto 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      Acesso em 14 novembro, 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 2018
      Fonte: Statistics Centre of Abu Dhabi
      Carregamento por: Knoema
      Acesso em 08 maio, 2019
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      Note: 2017 values are Preliminary Estimates.
    • novembro 2019
      Fonte: Bahrain Open Data Portal
      Carregamento por: Knoema
      Acesso em 19 novembro, 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
    • 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.
    • 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: Sandeep Reddy
      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.
  • G
    • dezembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 11 dezembro, 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:
    • dezembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 11 dezembro, 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:
    • agosto 2019
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
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    • setembro 2018
      Fonte: Dual Citizen LLC
      Carregamento por: Knoema
      Acesso em 21 setembro, 2018
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      The performance index of the 2018 GGEI is defined by 20 underlying indicators, each contained within one of the four main dimensions of leadership & climate change, efficiency sectors, markets & investment and the environment.   For more detail on our approach to aggregating these diverse data sources to define the composite indicators in the GGEI and its four main dimensions, as well as our approach to data selection, weighting and other issues associated with creating an index, please visit the Methodology section.
    • dezembro 2019
      Fonte: countryeconomy.com
      Carregamento por: Knoema
      Acesso em 13 dezembro, 2019
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      Global Stock Market Indexes, Daily Update
    • agosto 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 09 agosto, 2019
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      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • novembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 22 novembro, 2019
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      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
    • outubro 2017
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 04 setembro, 2018
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    • fevereiro 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      Acesso em 02 abril, 2019
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      This dataset provides information on gross domestic product (GDP), total and per capita at current and constant (2010) prices also it contains annual average growth rates of gross domestic product (GDP), total and per capita, in per cent. The total GDP is expressed in millions of dollars, while GDP per capita is expressed in dollars.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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      Productivity is a key driver of economic growth and changes in living standards. Labour productivity growth implies a higher level of output for unit of labour input (hours worked or persons employed). This can be achieved if more capital is used in production or through improved overall efficiency with which labour and capital are used together, i.e., higher multifactor productivity growth (MFP). Productivity is also a key driver of international competitiveness, e.g. as measured by Unit Labour Costs (ULC).   The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, some time lag may arise which affects individual series and/or countries for two reasons: first, hours worked data from the OECD Employment Outlook are typically updated less frequently than the OECD Annual National Accounts Database; second, source data for capital services are typically available in annual national accounts later than source data for labour productivity and ULCs.   Note to users: The OECD Productivity Database accounts for the methodological changes in national accounts' statistics, such as the implementation of the System of National Accounts 2008 (2008 SNA) and the implementation of the international industrial classification ISIC Rev.4. These changes had an impact on output, labour and capital measurement. For Chile, China, Colombia, India, Japan, Turkey and the Russian Federation the indicators are in line with the System of National Accounts 1993 (1993 SNA); for all other countries, the indicators presented are based on the 2008 SNA
  • H
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4
  • I
    • dezembro 2018
      Fonte: Islamic Development Bank
      Carregamento por: Knoema
      Acesso em 08 março, 2019
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    • julho 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
    • outubro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
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      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year.
    • fevereiro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 junho, 2019
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      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2015. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains data on the cross-country distribution of employment by hour bands for declared hour bands, broken down by professional status - employees, total employment - sex and detailed age groups.
    • 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 incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on a common 30-usual-hour cut-off in the main job. Unit of measure used - Data are expressed in percentages.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
      Selecionar Conjunto de dados
      This table contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. 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. Other data characteristics
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 06 julho, 2019
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      This datasetcontains the shares of involuntary part-time work among part-time workers and ratio of involuntary part-time work and labour force and the gender composition of involuntary part-time workers. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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    • 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 the share of the five durations - less than 1 month,>1 month and < 3 months,>3 months and <6 months,>6 months and <1 year, 1 year and over - of unemployment among total unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). Unit of measure used - Data expressed in percentages.
    • janeiro 2018
      Fonte: World Economic Forum
      Carregamento por: Sandeep Reddy
      Acesso em 07 março, 2019
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      Data cited at: World Economic Forum The Inclusive Development Index (IDI) is an annual assessment of 103 countries’ economic performance that measures how countries perform on eleven dimensions of economic progress in addition to GDP. It has 3 pillars; growth and development; inclusion and; intergenerational equity – sustainable stewardship of natural and financial resources. The IDI is a project of the World Economic Forum’s System Initiative on the Future of Economic Progress, which aims to inform and enable sustained and inclusive economic progress through deepened public-private cooperation through thought leadership and analysis, strategic dialogue and concrete cooperation, including by accelerating social impact through corporate action.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      Institutional Investors' Assets and Liabilities data are reported by Central Banks, National Statistical Institutes or Supervisory Authorities. The indicators reported here are compiled on the basis of those statistics.   The first set of indicators measure total financial assets (liabilities) held by each institutional investor as a percentage of GDP. Total financial assets (liabilities) is defined as the sum of the following asset (liability) categories: currency and deposits (F2), debt securities (F3), loans (F4), equity and investment fund shares (F5), insurance pension and standardized guarantee schemes (F6), financial derivatives and employee stock options (F7), and other accounts receivable (payable) (F8). The second set of indicators shows the share of each asset (liability) category in the total financial assets (liabilities) of each investor. They help to analyse the investment portfolio composition of the investor as well as financial risks borne by the investor. The third set of indicators shows the sub-sector composition of total financial assets (liabilities) by investor category, by showing the share of each sub-sector in the total financial assets (liabilities) of each investor category.
    • junho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 18 junho, 2019
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    • dezembro 2015
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 05 março, 2016
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      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • outubro 2018
      Fonte: U.S. Bureau of Labor Statistics
      Carregamento por: Knoema
      Acesso em 24 março, 2019
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      International Labor StatisticsDimensionsIndustryCountryEconomic GroupEconomic SeriesSeasonal
    • dezembro 2018
      Fonte: U.S. Department of Agriculture
      Carregamento por: Knoema
      Acesso em 26 dezembro, 2018
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      The International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. These macroeconomic data and projections are assembled explicitly to serve as underlying assumptions for the annually updated USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.  The projections assume there are no changes in policy and abstract from business cycle effects.  Historical data are available for real (inflation-adjusted) gross domestic product (GDP), inflation, population, and real exchange rates from 1969 to the most recent available year, and each variable is projected forward to 2030.
    • dezembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2019
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      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
    • junho 2013
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 22 julho, 2013
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      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • setembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • dezembro 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 25 março, 2016
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      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
    • março 2011
      Fonte: Statistics Netherlands
      Carregamento por: Knoema
      Acesso em 10 outubro, 2018
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      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Investment climate; The Netherlands international comparison https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=71167ENG&_theme=1002 License: http://creativecommons.org/licenses/by/4.0/   This table shows basic figures on population and economic development for sixty countries. It concerns the following elementary indicators: - Gross Domestic Product; - Gross Domestic Product per capita; - Exports of goods and services; - Exports of high-tech goods; - Incoming Foreign Direct Investments; - Value added in services; - Population size. These indicators give an overall picture of the economic size and trade position of a country. The national economic development defines the basic climate within which companies develop their activities. A good economic development ensures a favourable investment climate in which enterprises can function well. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from 1990 Status of the figures: The external source of these data frequently supplies adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table. Changes as of 14 March 2011: Various figures have been updated as a result of updates of the underlying source. Please refer to the original source for information about the changes. When will the latest figures be published? The latest figures are shown in the table as soon as the external source supplies them.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      This table contains data on involuntary part-time workers by professional status. Data are broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55+, total). Involuntary part-time workers are part-timers (working less than 30-usual hours per week) because they could not find a full-time job. However, the definitions are not harmonised which hampers the comparison across countries. Unit of measure used - Data are expressed in thousands of persons
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on the activity of affiliates under foreign control and all firms by industry according to the International Standard Industrial Classification (ISIC Revision 4).
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
  • J
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      Job quality refers to multiple aspects of employment that contribute to well-being of workers and represents an inherently multi-dimensional construct. Job quality database focuses on three key dimensions. These are earnings quality, labour market security and quality of the working environment.
  • K
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 19 novembro, 2019
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      The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
  • L
    • dezembro 2017
      Fonte: Ministry of Economy, UAE
      Carregamento por: Knoema
      Acesso em 17 maio, 2018
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    • fevereiro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 fevereiro, 2019
      Selecionar Conjunto de dados
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • 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 series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • setembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 23 setembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
      Selecionar Conjunto de dados
      The labour force participation rate is the labour force as a percent of the working age population.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population. Data by level of education are provided on the highest level of education completed.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population.
    • 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 labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of males.
    • 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 labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of females.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 02 julho, 2019
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      This dataset contains data on employment by hour bands for usual weekly hours worked in the main job.  Standard hour bands are reported for most countries.  Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea).  Data are broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55+, total). Unit of measure used - Data are expressed in thousands of persons. For detailed information on labour force surveys for all countries please see the attached file : www.oecd.org/els/employmentpoliciesanddata/LFSNOTE
    • maio 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 24 maio, 2019
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      Labour share in GDP is the total compensation of employees given as a percent of gross domestic product (a measure of total output), both provided in nominal terms. Total compensation refers to the total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the latter during the accounting period.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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      The productivity and income estimates presented in this dataset are mainly based on GDP, population and employment data from the OECD Annual National Accounts. Hours worked are sourced from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, timely data issues may arise and affect individual series and/or individual countries. In particular, annual hours worked estimates from the OECD Employment Outlook are typically updated less frequently (once a year, in the summer) than series of hours worked from the OECD Annual National Accounts.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 13 agosto, 2019
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      This dataset contains the age composition (as a percentage of all ages) of the population for each labour force status - labour force, employment, unemployment - by sex.
  • M
    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • 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 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.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
      Selecionar Conjunto de dados
    • novembro 2019
      Fonte: General Authority for Statistics, Kingdom of Saudi Arabia
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2019
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    • abril 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 maio, 2019
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      Migration and Remittances Fact book provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. 
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      The aim of the OECD’s new Skills for Jobs Indicators is to facilitate better adaptation to changing skill needs by making available a database of skill imbalances indicators that is comparable across countries and regularly updated. The Skill Needs Indicators provide an overview of the shortages and surpluses of skills across countries.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      This dataset contains monthly Comparative Price Levels (CPL) for OECD countries. CPLs are defined as the ratios of PPPs for private final consumption expenditure to exchange rates. They provide measures of differences in price levels between countries. The monthly PPPs used to derive the table are OECD estimates. The table is to be read vertically. Each column shows the number of specified monetary units needed in each of the countries listed to buy the same representative basket of consumer goods and services. In each case the representative basket costs a hundred units in the country whose currency is specified. Let’s take an example. If you are a Canadian citizen and you want to know the price level in Canada when compared to other countries, you have to look at the column Canada, where the price level is set at 100 for the whole column. If you have 120 for Finland, it means that the price level in Finland is 20% higher than in Canada. It means that you would spend 120 dollars in Finland to buy the same basket of goods and services when you spend 100 in Canada.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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      The Financial Statistics dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and some selected other countries. The dataset itself contains financial statistics on 4 separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, and Share Prices. The data series presented within these subjects have been chosen as the most relevant financial 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. All data are available monthly, and are presented as either an index (where the year 2015 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context.
  • N
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries according to the classification ISIC rev.4. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2005). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents fixed assets by activity according to the classification ISIC rev.3 and by type of product and by type of assets.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. In national currency, in current prices and constant prices (national base year and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • 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 information using an "indicator" approach, focusing on cross-country comparisons. The aim is to make the accounts more accessible and informative, whilst taking the opportunity to present the conceptual underpinning  and comparability issues of each of the indicators presented. The range of indicators is set deliberately wide to reflect the richness of the national accounts dataset and to encourage users of economic statistics to refocus some of the spotlight that is often placed on GDP to other important economic indicators, which may better respond to their needs. Indeed many users themselves have been instrumental in this regard. The report of the Commission on the Measurement of Economic Performance and Social Progress (Stiglitz-Sen-Fitoussi Commission) is but one notable example. That is not to undermine the importance of GDP, which arguably remains the most important measure of total economic activity, but other measures may better reflect other aspects of the economy. For example, net national income may be a more appropriate measure of income available to citizens in countries with large outflows of property income, and household adjusted disposable income per capita may be a better indicator of the material well-being of citizens. But certainly from a data perspective more can and remains to be done. The Stiglitz-Sen-Fitoussi Commission for example highlights the pressing need for the provision, by official statistics institutes, of more detailed information that better describes the distributional aspects of activity, especially income, and the need to build on the national accounts framework to address issues such as non-market services produced by households or leisure. It is hoped that by producing a publication such as this and thereby raising awareness, the momentum from this and other initiatives will be accelerated. The publication itself will pick up new indicators in the future as they become available at the OECD.
    • dezembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 04 março, 2019
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      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • setembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable. Note: Ethiopia [upto 1993] and Ethiopia [from 1993] merged to get Ethiopia, Similarly Sudan (upto 2011) is combined with Sudan.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts. For general government sector, property income, other current transfers and capital transfers are consolidated.. It has been prepared from statistics reported to the OECD by Member countries in their answers to the new version of the annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • junho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 junho, 2019
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      National Accounts - Volume IIIa - Financial Accounts - Flows, which record, by type of financial instruments, the financial transactions between institutional sectors, and are presented in two tables: Financial accounts, consolidated and Financial accounts, non-consolidated.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 abril, 2019
      Selecionar Conjunto de dados
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 abril, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      Annual National Accounts>General Government Accounts>750. General Government Debt-Maastricht   Unit of measure used: National currency; current prices. Expressed in millions   Statistical population: Government debt as defined in the Maastricht Treaty (Source : Eurostat). Available for Europeans countries only. In the Protocol on the excessive deficit procedure annexed to the Maastricht Treaty, government debt is defined as the debt of the whole general government sector: gross, consolidated and nominal value (face value). It excludes the other accounts payable (AF.7), as well as, if they exist, insurance technical reserve (AF.6).
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
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      It presents the three approaches of the GDP: expenditure based, output based and income based. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      Annual National Accounts>Detailed Tables and Simplified Accounts>7A. Labour input by activity, ISIC rev4   Unit of measure used: In persons, full-time equivalents, jobs and hours.   Statistical population: It presents employment, broken down by detailed industries according to the classification ISIC rev.4. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents population data and employment by main activity. It includes national concept data for economically active population, unemployed persons, total employment, employees and self-employed, as well as domestic concept data for total employment, employees and self-employed. The domestic concept data are available broken down by main activity. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire.
    • junho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 junho, 2019
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      Statistical population: Its presents output, intermediate consumption and the gross value added and its components, in particular compensation of employees and gross operating surplus and mixed income, broken down by detailed industries according to the classification ISIC rev.4. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. Unit of measure used: In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.   Note: 6A. Value added and its components by activity, ISIC rev4
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 19 novembro, 2019
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    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
      Selecionar Conjunto de dados
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
      Selecionar Conjunto de dados
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
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      This indicator shows the percentage change of the CPI between a month and the same month of the previous year. In cases where the period of reference is a quarter, data refers to the percentage change from the same quarter of the previous year.
    • junho 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 julho, 2018
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      The "National CPI Weights" dataset contains the annual expenditure weights for the national CPI for the OECD Member countries at a detailed level of the COICOP classification (except Australia and Korea). The weight of a product in a CPI is the proportion of total household expenditure which is spent on that product during the weight reference period.
    • janeiro 2018
      Fonte: Maddison Project
      Carregamento por: Knoema
      Acesso em 03 setembro, 2019
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      The Maddison Project has launched an updated version of the original Maddison dataset in January 2013. The update incorporates much of the latest research in the field, and presents new estimates of economic growth in the world economic between AD 1 and 2010. The new estimates are presented and discussed in Bolt and Van Zanden (2014). The Maddison Project: collaborative research on historical national accounts. The Economic History Review, 67 (3): 627–651. The Maddison Project Database provides information on comparative economic growth and income levels over the very long run. The 2018 version of this database covers 169 countries and the period up to 2016
    • outubro 2013
      Fonte: Statistics New Zealand
      Carregamento por: Knoema
      Acesso em 13 novembro, 2013
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      New Zealand Regional Statistics
  • O
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 novembro, 2019
      Selecionar Conjunto de dados
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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      This OECD inventory maps existing cross-country surveys that provide information on the characteristics of people's jobs. The information included in this inventory covers international surveys conducted since the early 1990s that are based on individuals' self-reported assessment of their current job, for 160 countries over 25 years. Survey questions are grouped into 19 indicators. For each indicator, binary codes (1 and 0) show whether indicators are available or not for the various countries and years. The inventory also provides users with detailed documentation on the questions used in the various surveys for measuring these indicators.
    • julho 2015
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 março, 2018
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      ICT investment is defined as the acquisition of equipment and computer software that is used in production for more than one year. ICT has three components: information technology equipment (computers and related hardware); communications equipment; and software. Software includes acquisition of pre-packaged software, customised software and software developed in-house. This indicator is measured as a percentage of total non-residential gross fixed capital formation.
    • junho 2019
      Fonte: Organization of Petroleum Exporting Countries
      Carregamento por: Knoema
      Acesso em 13 junho, 2019
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      The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration and transportation activities. The publication contains key statistical data on oil and natural gas activities in each of OPEC's 14 Member Countries: Algeria, Angola, Ecuador, Equatorial Guinea, Gabon, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications, mainly by geographical region, and covers the major economic areas around the world. This year’s 2018 ASB, which comprises data up to the end of 2017, includes the following important highlights: Total world crude oil production increased sharply in 2018 by 1.213 million barrels/day (m b/d), or 1.6 per cent, as compared to 2017, to reach 75.78m b/d, marking a historical high and the highest annual growth since 2015. OPEC crude oil production declined year-on-year by 415,000 b/d, or 1.3 per cent, while crude production by non-OPEC countries grew by 1.628m b/d, or 3.8 per cent. The largest volumetric gains were for the United States with 1.610m b/d, or 17.2 per cent, Saudi Arabia with 358,000 b/d or 3.6 per cent and Russia with 178,000 b/d or 1.7 per cent In 2018, the top three crude oil producing countries were the United States (10.96m b/d), Russia (10.53m b/d) and Saudi Arabia (10.32m b/d). With an average of 98.73m b/d in 2018, world oil demand grew by 1.5 per cent y-o-y, with the largest increases recorded for Asia and Pacific region (particularly China and India) and North America. Oil demand in Africa and the Middle East fell in 2018 by around 23,000 b/d, as compared to 2017, while Latin America posted an increase following consecutive declines during the previous three years. OECD oil demand grew solidly for the fourth consecutive year in 2018, while oil demand in OPEC Member Countries declined slightly after increasing during 2017. Distillates and gasoline accounted for around 55.0 per cent of 2018 world oil demand with an upward trend. Residual fuel oil requirements were about 7.2 per cent of total oil demand in 2018. OPEC Member Countries exported an average of 24.67m b/d of crude oil in 2018, a slight increase of about 14,000 b/d, or 0.1 per cent, compared to 2017. Following the trend in previous years, the bulk of crude oil from OPEC Member Countries — 15.86m b/d or 64.3 per cent — was exported to the Asia and Pacific region. Considerable volumes of crude oil — about 4.58m b/d — were also exported to Europe in 2018, which, however, represents a decline compared with 4.65m b/d recorded in 2017. North America imported 2.81m b/d of crude oil from OPEC Member Countries, which was about 406,000 b/d, or 12.6 per cent, less than the 2017 volumes. Exports of petroleum products from OPEC Member Countries averaged 4.71m b/d during 2018, up by around 784,000 b/d, or 20.0 per cent, compared to 2017. Imports of petroleum products by OPEC Member Countries stood at 2.62m b/d in 2018, roughly 593,000 b/d, or 29.3 per cent, higher than in 2017. World proven crude oil reserves stood at 1,498 billion barrels (bn b) at the end of 2018, increasing slightly by 0.4 per cent from the level of 1,492bn b recorded at the end of 2017. Proven crude oil reserves in OPEC Member Countries decreased slightly by 0.2 per cent to 1,189bn b at the end of 2018 for the second consecutive year. OPEC Member Countries’ share of total world proven crude oil reserves decreased marginally, from 79.9 per cent at the end of 2017 to 79.4 per cent at the end of 2018. At the end of 2018, world proven natural gas reserves rose by 0.7 per cent to approximately 203.2 trillion standard cubic metres (cu m). The observed increase in natural gas reserves is mainly attributed to North America, Middle East and Africa. Proven natural gas reserves in OPEC Member Countries stood at 72.68 trillion standard cu m at the end of 2018, up 0.6 per cent from the level at the end of 2017. World refinery capacity expanded by 876,000 barrels/calendar day (b/cd) to stand at 99.51m b/cd during 2018. The Asia and Pacific region, particularly China, as well as the Middle East, particularly the Islamic Republic of Iran, contributed the most in terms of refining capacity additions. Refinery capacity in the OECD declined marginally in 2018, as compared to 2017, with capacity expansions in North America being offset by closures in Europe. Globally, refinery throughput surged by 1.6 per cent to reach 84.94m b/d in 2018, with the largest gains in the Asia and Pacific region, North America, Europe and the Middle East. The OPEC Reference Basket averaged $69.78/b in nominal terms during 2018, up from $52.43/b in 2017, an increase of $17.35/b, or 33.1 per cent. The volatility level was $6.59/b, or 9.4 per cent, relative to the yearly average. In real terms, the OPEC Reference Basket stood at $45.81/b during 2018, up from $36.09/b during 2017.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing sector or in the total business sector. The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • 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.
  • P
    • abril 2019
      Fonte: University of Groningen, Netherlands
      Carregamento por: Knoema
      Acesso em 23 maio, 2019
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      PWT version 9.1 is a database with information on relative levels of income, output, input and productivity, covering 182 countries between 1950 and 2017.
    • setembro 2017
      Fonte: Willis Towers Watson
      Carregamento por: Knoema
      Acesso em 15 novembro, 2017
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      According to the research, North America showed the most noticeable annualised growth rate over the last five years, growing by 6.7% during the period. Europe and Asia-Pacific regions showed annualised growth rates of 3.1 % and 2.8% respectively. The U.S. continues to hold its position as the country with the largest share of pension assets across the top 300 funds, representing 38.6% spread across 134 funds. Meanwhile, Canada has overtaken the U.K. as the fifth largest country by share of pension fund assets, accounting for 5.4% (5.3% in 2015). The U.K. now accounts for 4.8%, falling from 5.4% of total assets in 2015. A total of 28 new funds have entered the ranking over the last five years, with the U.S. contributing the most new funds (13) on a net basis. Germany and Mexico experienced the highest net losses over the period, losing a net four funds each. The U.S. has the largest number of funds within the top 300 ranking (134), followed by the U.K. (26), Canada (18), Japan and Australia (both 16). Defined benefit (DB) assets increased by 5.6% in 2016, compared to 9.6% for defined contribution (DC) plans, 3.9% for reserve funds and an increase of 2.9% for hybrid funds. DB assets account for 65.5% of the disclosed total AUM, down from 65.9% in 2015, whilst DC assets have increased their share, rising from 21.5% in 2015 to 22.2%. Reserve funds remain relatively unchanged at 11.5% (11.7% in 2015), as do hybrid funds (0.8%, falling from 0.9% in 2015)
    • novembro 2018
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 27 dezembro, 2018
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      This Dataset presents time series on receipts and payments of personal remittances in millions of dollars. These data are also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP. Personal remittances, as defined in this table, comply with the guidelines of the Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6) (IMF 2009, Appendix 5). They are the sum of two items: (1.) compensation of employees, defined as the income of workers employed in an economy where they are not resident and of residents employed by non-resident employers; (2.) personal (current) transfers, defined as current transfers in kind or in cash, between resident and non-resident households (ibid., A5.5-7). A broader definition of personal remittances would include also capital transfers between resident and non-resident households (ibid., A5.10-13). However, data coverage for capital transfers is much sparser than for the two items above, as compilation of this item by countries is voluntary in the context of the balance of payment statistics. Therefore, capital transfers between resident and non-resident households are reported in this table separately. The main source of personal remittances data is World Bank. In cases of missing data, data from IMF or Economic Intelligence Unit have been imputed. Capital transfers data have been taken from IMF.
    • fevereiro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 junho, 2019
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      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the labour force estimates and projections methodological paper. 
    • setembro 2019
      Fonte: Office for National Statistics, United Kingdom
      Carregamento por: Knoema
      Acesso em 14 setembro, 2019
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      The mid-year estimates refer to the population on 30 June of the reference year and are produced in line with the standard UN definition for population estimates. They are the official set of population estimates for the UK and its constituent countries, the regions and counties of England, and local authorities and their equivalents. They are used by central and local government and the health sector, for planning and monitoring service delivery, resource allocation and managing the economy. They are used directly as a base for other secondary population statistics, such as population projections and weighting survey estimates such as the Labor Force Survey.
    • abril 2015
      Fonte: International Monetary Fund
      Carregamento por: Shakthi Krishnan
      Acesso em 13 agosto, 2015
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      Private fixed investment in advanced economies contracted sharply during the global financial crisis, and there has been little recovery since. Investment has generally slowed more gradually in the rest of the world. Although housing investment fell especially sharply during the crisis, business investment accounts for the bulk of the slump, and the overriding factor holding it back has been the overall weakness of economic activity. In some countries, other contributing factors include financial constraints and policy uncertainty. These findings suggest that addressing the general weakness in economic activity is crucial for restoring growth in private investment.
    • abril 2019
      Fonte: Inter-American Development Bank
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Public Debt around the World
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The total public sector employment covers all employment of general government sector as defined in System of National Accounts 1993 plus employment of publicly owned enterprises and companies, resident and operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, without regard for the particular type of employment contract. For more information, see the working paper: Statistics on Public Sector Employment: Methodology, Structures and Trends.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • outubro 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 16 outubro, 2018
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      Description not available
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • dezembro 2019
      Fonte: Global Economy
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      Data cited at:The Global Economy Under licence of Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported    
  • Q
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire as well as countries' own definitions and classifications. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1960 or whenever available: - GDP expenditure and output approaches (current prices and volume estimates); - GDP income approach (current prices); - Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset or product and by institutional sector; - Disposable income and Real disposable income components; - Saving and net lending (current prices); - Population and Employment (in persons); - Employment by industry (in persons and hours worked); - Compensation of employees (current prices); - Household final consumption expenditure by durability (current prices and volume estimates). The main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely quarterly national accounts for OECD member countries, some non-member countries and some area totals for analytical purposes. All the OECD member countries compile their accounts according to the 2008 SNA. The non-member countries which are still producing national accounts according to the 1993 SNA will switch to the new 2008 SNA over the coming months/years. This will allow the improvement of cross-countries comparability.
  • R
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 março, 2019
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      The reference series used in the publication are: GDP for tax reporting years at market prices, national currency Exchange rates national currency per US dollar Population These data are extracted from various datasets managed by OECD directorates. The figures presented here are those used in creating the latest Revenue Statistics publication. These datasets are updated periodically during the year and therefore the figures in the latest versions may differ from those implied in the publication.
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 novembro, 2019
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      The Registered Unemployment and Job Vacancies dataset is a subset of the Short-Term Labour Situation database, which contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. There are basically two sources for unemployment statistics: labour force surveys and administrative data. Surveys are based on standard methodology and procedures used all over the world while administrative data are subject to national legislations which evolve through time. Consequently registered unemployment data are not comparable across countries. The relationship between survey and registered unemployment is not the same for all countries. Number of registered unemployed persons and registered unemployment rates are presented here because they are monthly and quickly available after their reference period. The job vacancies data provides estimates of the number of unfilled job vacancies across national economies. Series give an indication of the labour demand while the unemployment is linked with the labour supply.
    • dezembro 2018
      Fonte: European Commission
      Carregamento por: Knoema
      Acesso em 02 maio, 2019
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      Note: We have considered the financial years 2015/16, 2016/17 and 2017/18 have been considered as 2015, 2016 and 2017. R&D ranking of the world top 2500 companies
    • dezembro 2019
      Fonte: Reserve Bank of Australia
      Carregamento por: Knoema
      Acesso em 12 dezembro, 2019
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      Reserve Bank of Australia Interest Rates
    • abril 2019
      Fonte: Global Finance Magazine
      Carregamento por: Knoema
      Acesso em 28 novembro, 2019
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  • S
    • agosto 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2019
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • agosto 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 05 outubro, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The adult population is defined as persons aged 25 and over, unless otherwise specified. This indicator expresses the adult population with advanced education (tertiary education) as a percent of the total adult population.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data provided refers to the employment in the agriculture sector as a share of total employment.
    • novembro 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2018
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    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2019
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      This indicator refers to the proportion of youth who are not in employment and not in education or training. For statistical purposes, youth are defined as persons between the ages of 15 and 24 years.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The youth not in employment, education or training are persons between the ages of 15 and 24 years who are unemployed and out of the education system. Data provided conveys the share of this category of youth as a percent of total youth. In practice, some countries define different age band to identify the youth. Only the sugroup of females is considered here.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The youth not in employment, education or training are persons between the ages of 15 and 24 years who are unemployed and out of the education system. Data provided conveys the share of this category of youth as a percent of total youth. In practice, some countries define different age band to identify the youth. Only the sugroup of females is considered here.
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 novembro, 2019
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      The Short-Term Labour Market Statistics dataset contains predominantly quarterly labour statistics, and associated statistical methodological information, for the 35 OECD member countries and selected other economies. The Short-Term Labour Market Statistics dataset covers countries that compile labour statistics from sample household surveys on a monthly or quarterly basis. It is widely accepted that household surveys are the best source for labour market key statistics. In such surveys, information is collected from people living in households through a representative sample and the surveys are based on standard methodology and procedures used internationally. The subjects available cover: working age population by age; active and inactive labour force by age; employment by economic activity, by working time and by status; and, unemployment (including monthly harmonised unemployment) by age and by duration. Data is expressed in levels (thousands of persons) or rates (e.g. employment rate) where applicable.   Data are based on Labour Force Surveys and national information in this dataset is directly collected from the following sources:   ABS - Australian Bureau of Statistics (Australia) Statistics Canada (Canada) INE - Instituto Nacional de Estadísticas (Chile) CBS – Central Bureau of Statistics (Israel) Statistics Bureau (Japan) Statistics Korea (Korea) INEGI - Instituto Nacional de Estadísticas y Geografía (Mexico) Statistics New Zealand (New Zealand) BLS - Bureau of Labor Statistics (the United States) Eurostat (Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Luxembourg, the Netherlands, Norway, Poland, Portugal, the Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom).
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      The aim of the OECD’s new Skills for Jobs Indicators is to facilitate better adaptation to changing skill needs by making available a database of skill imbalances indicators that is comparable across countries and regularly updated. The Skill Needs Indicators provide an overview of the shortages and surpluses of skills across countries.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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      A good complement to the number of recipients of social benefits is the number of individuals belonging to population groups that are close to the target of social benefits. The database SOCR includes a number of series providing these reference populations. For example: old-age pensions are mainly targeted on individuals of retirement age, the over 65 population is provided; unemployment benefits go to jobseekers, the number of unemployed (ILO definition) is provided.
    • dezembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 05 dezembro, 2019
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      The dataset on Statistical discrepancy (Institutional Investors – Financial Balance Sheets) represents the time series of the dataset on Institutional investors' assets and liabilities (7II) along with those of the dataset on Financial Balance Sheets (720), for the financial instruments and institutional sectors which are in common to these two datasets.  Additionally, for each of the above-mentioned time series, a statistical discrepancy is reported in order to show any possible differences which may exist between the two datasets (7II and 720).  In fact, the dataset on Institutional investors' assets and liabilities (7II) constitutes an attempt to better integrate these data in the framework of the System of National Accounts 2008 (SNA 2008).  However, discrepancies may exist and may, for example, be caused by balancing practices (e.g. when sector and counterpart sector data are reconciled) in the compilation of Financial Balance Sheets at a higher level of aggregation, which may not have been carried through at a lower level of aggregation. Moreover, differences may also be caused by the use of different source data.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data refer to the minimum monthly earnings of all employees as of December 31st of each year. Minimum wages are not reported for countries for which collective bargaining is in place for minimum wages. In cases where a national minimum wage is not mandated, the minimum wage in place in the capital or major city is used. In some cases, an average of multiple regional minimum wages is used. In countries where the minimum wage is set at the sectoral level or occupational level, the minimum wage for manufacturing or unskilled workers is generally applied.This is a harmonized series: (1) data reported as hourly, weekly, and yearly are first converted to monthly, using data on average weekly hours if available, and then converted to constant 2011 PPP dollars using 2011 purchasing power parity (PPP) rates. This allows for international comparisons by taking account of the differences in relative prices between countries.
    • dezembro 2019
      Fonte: Investing.com
      Carregamento por: Knoema
      Acesso em 13 dezembro, 2019
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      Stock Market Performance Indices
  • T
    • janeiro 2019
      Fonte: International Finance and Macroeconomics (IFM) Milken Institute
      Carregamento por: Sandeep Reddy
      Acesso em 11 fevereiro, 2019
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      The Global Opportunity Index (GOI) answers a pressing need for information that's vital to a thriving global economy like what policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation, everything multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments.   Methodology The GOI considers economic and financial factors that influence investment activities as well as key business, legal and regulatory policies that governments can modify to support and often drive investments. Overall, it tracks countries’ performance on more than 50 variables aggregated in five categories, each measuring an aspect of a country’s attractiveness for investors: (1) its economic performance; (2) the ability for investors to access financial services; (3) the cost of doing business; (4) the level of support its institutions provide to businesses; and (5) the extent to which its institutions, policies, and legal system facilitate international integration.
  • U
    • junho 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 21 agosto, 2019
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      U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2017
    • julho 2017
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 31 julho, 2017
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      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position Data
    • julho 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 31 julho, 2018
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    • setembro 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Sandeep Reddy
      Acesso em 05 dezembro, 2019
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      Direct Investment Abroad: Financial Transactions without Current-Cost Adjustment, United States
    • setembro 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
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      U.S. Direct Investment Position Abroad on a Historical-Cost Basis by Account for Selected Countries, 2017
    • setembro 2019
      Fonte: U.S. Department of the Treasury
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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    • setembro 2019
      Fonte: U.S. Department of the Treasury
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      U.S. Financial Firms Liabilities: Data by Type, Country and Region
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
      This dataset contains data on the share of the five durations - less than 1 month, >1 month and < 3 months, >3 months and <6 months, >6 months and <1 year, 1 year and over - of unemployment among total unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 30 novembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • 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 unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 09 dezembro, 2019
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      The unemployment rate conveys the number of persons who are unemployed as a percent of the labour force (i.e., the employed plus the unemployed). The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For further information, see the SDG Indicators Metadata Repository (https://unstats.un.org/sdgs/metadata/) or ILOSTAT's indicator description.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 09 dezembro, 2019
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      The unemployment rate conveys the number of persons who are unemployed as a percent of the labour force (i.e., the employed plus the unemployed). The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 30 novembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the indicator description and the ILO estimates and projections methodological note. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force).
    • 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 unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 17 junho, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • fevereiro 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 05 setembro, 2019
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    • fevereiro 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 01 abril, 2019
      Selecionar Conjunto de dados
      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
  • V
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      In the OECD Entrepreneurship Financing Database venture capital is made up of the sum of early stage (including pre-seed, seed, start-up and other early stage) and later stage venture capital. As there are no harmonised definitions of venture capital stages across venture capital associations and other data providers, original data have been re-aggregated to fit the OECD classification of venture capital by stages. Korea, New Zealand, the Russian Federation and South Africa do not provide breakdowns of venture capital by stage that would allow meaningful international comparisons.
  • W
    • dezembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 12 dezembro, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Economic Monitor Publication: https://datacatalog.worldbank.org/dataset/global-economic-monitor License: http://creativecommons.org/licenses/by/4.0/   The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • março 2019
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      Note: World Economic Situation and Prospects (WESP) mid-year update available here: https://knoema.com/WESP2019JUN/world-economic-situation-and-prospects-mid-2019 Economic growth accelerated in more than half the world’s economies in both 2017 and 2018. Developed economies expanded at a steady pace of 2.2 per cent in both years, and growth rates in many countries have risen close to their potential, while unemployment rates in several developed economies have dropped to historical lows. Among the developing economies, the regions of East and South Asia remain on relatively strong growth trajectory, expanding by 5.8 per cent and 5.6 per cent, respectively in 2018. Many commodityexporting countries, notably fuel exporters, are continuing a gradual recovery, although they remain exposed to volatile prices. The impact of the sharp drop in commodity markets in 2014/15 also continues to weigh on fiscal and external balances and has left a legacy of higher levels of debt. Global economic growth remained steady at 3.1 per cent in 2018, as a fiscally induced acceleration in the United States of America offset slower growth in some other large economies. Economic activity at the global level is expected to expand at a solid pace of 3 per cent in 2019, but there are increasing signs that growth may have peaked. The growth in global industrial production and merchandise trade volumes has been tapering since the beginning of 2018, especially in trade-intensive capital and intermediate goods sectors. Leading indicators point to some softening in economic momentum in many countries in 2019, amid escalating trade disputes, risks of financial stress and volatility, and an undercurrent of geopolitical tensions. At the same time, several developed economies are facing capacity constraints, which may weigh on growth in the short term.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      World Indicators of Skills for Employment (WISE) provide a comprehensive system of information relating to skills development. WISE presents countries with data upon which they can design skills policies and programs and monitor their impact on key outcomes, including responsiveness to current and emerging patterns of labour market demand, employability, productivity, health status, gender equity and lifelong learning.The database covers the period from 1990 to the present and consists of five inter-related domains of indicators:Contextual factors drive both the supply of and demand for skills.Skill acquisition covers investments in skills, the stock of human capital and its distribution.Skill requirements measure the demand for skills arising in the labour market.The degree of matching captures how well skills obtained through education and training correspond to the skills required in the labour market.Outcomes reflect the impact of skills on economic performance and employment and social outcomes.
    • junho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. This Report further focuses on:Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications.Ranking of the largest transnational corporations in the world.In-depth analysis of a selected topic related to FDI.Policy analysis and recommendations.Statistical annex with data on FDI flows and stocks for 196 economies.
    • março 2019
      Fonte: International Monetary Fund
      Carregamento por: Sandeep Reddy
      Acesso em 14 maio, 2019
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      The IMF’s World Revenue Longitudinal Data set (WoRLD) is a compilation of government tax and non-tax revenues from the IMF’s Government Finance Statistics and World Economic Outlook, and drawing on the OECD Revenue Statistics and Revenue Statistics in Latin American and the Caribbean.
    • julho 2019
      Fonte: World Trade Organization
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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  • Y
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of youth, which should be those persons between the ages of 15 and 24 years. In practice however, some countries applies different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of male youth, which should be males between the ages of 15 and 24 years, inclusive. In practice, however, some countries apply different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of female youth, which should be females between the ages of 15 and 24 years. In practice however, some countries applies different definitions of youth.
  • И
    • setembro 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 14 dezembro, 2018
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      Методологические пояснения: Валовой внутренний продукт (ВВП) по паритету покупательной способности (ППС) - Объем ВВП стран, выраженный в национальной валюте, пересчитан в единую валюту, используя паритет покупательной способности (ППС). Также применяется выражение ВВП в реальном выражении по аналогии с похожей практикой выражения стоимостных показателей в ценах другого года. (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
    • setembro 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 14 dezembro, 2018
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      Методологические пояснения: Для проведения международных сопоставлений ВВП необходимо иметь данные о стоимостных объемах на уровне первичных групп товаров и услуг. Разбивка национальных расходов ВВП на первичные товарные группы основывается на двух критериях. Во-первых, первичные группы должны быть как можно более однородными, чтобы свести к минимуму разброс отдельных значений цен по странам внутри каждой первичной группы. Во-вторых, необходимо получить достаточно надежные данные о расходах по каждой первичной группе. Проведение сопоставлений осуществляется по международному графику, в котором отмечены последние сроки представления и согласования данных. Все результаты сопоставлений ВВП основываются на информации, представленной странами. Все изменения в национальных данных после окончательных сроков представления в соответствии с графиком работ не использовались в расчетах. (Последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.17, 26, расчетный показатель). Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
  • Р
    • outubro 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 14 dezembro, 2018
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      Методологические пояснения: Валовой внутренний продукт  (ВВП) на душу населения по паритету покупательной способности (ППС) - ВВП по ППС или в реальном выражении, рассчитанный на душу населения.  (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
  • С
    • setembro 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 14 dezembro, 2018
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      Методологические пояснения: Результаты сопоставлений и их точность зависят от от структуры ВВП. Влияние структуры обусловлено национальной структурой ВВП стран-участниц. Резкие изменения в национальной структуре ВВП приводят к изменению результатов сопоставлений в ту или иную сторону. Например, как было отмечено в сопоставлениях ВВП, большое положительное сальдо чистого экспорта увеличивает показатель ВВП на душу наседления, а отрицательное - существенно уменьшает. (Последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.27,  расчетный показатель). Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет

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