Произошла ошибка. Подробности Скрыть
У вас есть несохраненные страницы. Восстановить Отмена

Бурунди

  • Президент:Pierre Nkurunziza
  • First Vice President:Gaston Sindimwo
  • Столица:Bujumbura
  • Языки:Kirundi 29.7% (official), Kirundi and other language 9.1%, French (official) and French and other language 0.3%, Swahili and Swahili and other language 0.2% (along Lake Tanganyika and in the Bujumbura area), English and English and other language 0.06%, more than 2 languages 3.7%, unspecified 56.9% (2008 est.)
  • Правительство
  • Статистическое агентство
  • Население, человек:10 864 245 (2017)
  • Площадь, кв км:25 680 (2017)
  • ВВП на душу населения, долл. США:320 (2017)
  • ВВП, млрд. долл. США:3,5 (2017)
  • Индекс Джини:38,6 (2013)
  • Рейтинг Ease of Doing Business:164 (2017)
Все наборы данных:  3 A B C D E F G H I J K L M N O P Q R S T U W Y
  • 3
    • Октябрь 2016
      Источник: Philipps-University of Marburg, Empirical Institutional Economics
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2016
      Выбрать
      The 3P Anti-trafficking Policy Index evaluates governmental anti-trafficking efforts in the three main policy dimensions (3Ps), based on the requirements prescribed by the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children (2000).   The three main policy dimensions (3Ps) are:Prosecution of perpetrators of human traffickingPrevention of human traffickingProtection of the victims of human trafficking Each of the 3P areas is evaluated on a 5-point scale and each index is aggregated to the overall 3P Anti-trafficking Index as the  sum (score 3-15).Prosecution Index Score: 1 (no compliance) - 5 (full compliance)Prevention Index Score: 1 (no compliance) - 5 (full compliance)Protection Index Score: 1 (no compliance) - 5 (full compliance)3P Anti-trafficking Policy Index Score: 3 (no compliance for any of the three areas) - 15 (full compliance for all of the three areas) The 3P Anti-trafficking Policy Index is available for each country and each year and currently includes up to 189 countries for the preiod from 2000 to 2015.
  • A
    • Декабрь 2018
      Источник: U.S. Energy Information Administration
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2018
      Выбрать
      World Electricity access database Hundreds of millions of people have gained access to modern energy over the last two decades, especially in China and India. Rapid economic development in several developing countries, increasing urbanisation and ongoing energy access programmes have been important factors in this achievement. The IEA Access to Energy database provides a snapshot of progress made toward meeting the ultimate goal of universal access. Note: For indicator population without access, value 1 represent <1 except Botswana, Guatemala countries
    • Июль 2016
      Источник: Knoema
      Загружен: Knoema
      Выбрать
      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 июля, 2019
      Выбрать
    • Декабрь 2015
      Источник: Transparency International
      Загружен: Knoema
      Дата обращения к источнику: 27 февраля, 2018
      Выбрать
      Data cited at GLOBAL CORRUPTION BAROMETER 2015/16/17 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/research/gcb/gcb_2015_16/0 For the latest African edition of the Global Corruption Barometer, we partnered with the Afro barometer, which spoke to 43,143 respondents across 28 countries in Sub-Saharan Africa between March 2014 and September 2015 to ask them about their experiences and perceptions of corruption in their country. Shockingly, we estimate that nearly 75 million people have paid a bribe in the past year – some of these to escape punishment by the police or courts, but many also forced to pay to get access to the basic services that they desperately need. A majority of Africans perceive corruption to be on the rise and think that their government is failing in its efforts to fight corruption; and many also feel dis empowered as regards to taking action against corruption. In Sierra Leone, Nigeria, Liberia and Ghana citizens are the most negative about the scale of corruption in their country.
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa Development Indicators Publication: https://datacatalog.worldbank.org/dataset/africa-development-indicators License: http://creativecommons.org/licenses/by/4.0/   Africa Development Indicators (ADI) provides the most detailed collection of development data on Africa, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
    • Апрель 2019
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 11 июля, 2019
      Выбрать
      Data cited at: https://infrastructureafrica.opendataforafrica.org/pbuerhd The Africa Infrastructure Development Index (AIDI) is produced by the African Development Bank. The AIDI serves a number of key objectives, principally: (i) to monitor and evaluate the status and progress of infrastructure development across the continent; (ii) to assist in resource allocation within the framework of ADF replenishments; and (iii) to contribute to policy dialogue within the Bank and between the Bank, RMCs and other development organizations.
    • Декабрь 2011
      Источник: African Development Bank Group
      Загружен: Knoema
      Выбрать
      Africa Millennium Development Goals
    • Декабрь 2013
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - Access to services
    • Декабрь 2013
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - Education
    • Декабрь 2013
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - Exclusion Indicators
    • Декабрь 2013
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 27 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - Governement expenditure
    • Декабрь 2013
      Источник: United Nations Children's Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - HIV AIDS
    • Декабрь 2013
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - International and regional Child Related Legal Instruments
    • Декабрь 2013
      Источник: United Nations Children's Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - Maternal and child Health
    • Декабрь 2013
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2014
      Выбрать
      Africa Report on Child Wellbeing - Population
    • Октябрь 2012
      Источник: African Child Policy Forum
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2014
      Выбрать
      African Child Observatory Dataset, 2013
    • Август 2015
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 12 августа, 2015
      Выбрать
      African Development Bank, Bank Operations 2012
    • Декабрь 2011
      Источник: African Development Bank Group
      Загружен: Knoema
      Выбрать
      African Development Bank, Food Security, December 2011
    • Июль 2013
      Источник: African Development Bank Group
      Загружен: Knoema
      Выбрать
      African Port Statistics, 2013
    • Апрель 2016
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2016
      Выбрать
      African Regional Energy Statistics, 2014
    • Февраль 2013
      Источник: Central Statistical Agency of Ethiopia
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2013
      Выбрать
    • Октябрь 2010
      Источник: World Bank
      Загружен: Pallavi S
      Дата обращения к источнику: 01 декабря, 2014
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa's Infrastructure: Airports Publication: https://datacatalog.worldbank.org/dataset/africas-infrastructure-airports License: http://creativecommons.org/licenses/by/4.0/   The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation.   The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.
    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 07 октября, 2015
      Выбрать
      Africa's Power Infrastructure: Investment, Integration, Efficiency by Anton Eberhard, Orvika Rosnes, Maria Shkaratan, Haakon Vennemo and Published by the World Bank.
    • Август 2013
      Источник: Economic and Statistical Observatory for sub-Saharan Africa
      Загружен: Knoema
      Дата обращения к источнику: 22 августа, 2013
      Выбрать
      Afristat Socio-economic Database, 2013
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Ноябрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015
    • Январь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • Апрель 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • Апрель 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 апреля, 2019
      Выбрать
      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 июля, 2019
      Выбрать
      Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from bilateral and multilateral donors which focus on flows from DAC member countries and the EU Institutions.
    • Июнь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2014
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: All The Ginis Dataset Publication: https://datacatalog.worldbank.org/dataset/all-ginis-dataset License: http://creativecommons.org/licenses/by/4.0/   This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      This indicator conveys the annual growth rates of labour productivity. Labour productivity represents the total volume of output (measured in terms of Gross Domestic Product, GDP) produced per unit of labour (measured in terms of the number of employed persons) during a given time reference period. The indicator allows data users to assess GDP-to-labour input levels and growth rates over time, thus providing general information about the efficiency and quality of human capital in the production process for a given economic and social context, including other complementary inputs and innovations used in production. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • Январь 2014
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2015
      Выбрать
      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • Ноябрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      ASTI collects primary time-series data on agricultural research capacity and spending levels through national survey rounds in over 80 low-and middle-income countries. Data collection is carried out by country focal points, who distribute survey forms to all agencies known to conduct agricultural research in a given country, including government, nonprofit, and higher education agencies. Private-for profit sector coverage is limited, and hence excluded from this dataset. More detailed country- and regional-level data on agricultural research capacity, investment, and outputs are available 
    • Март 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 августа, 2015
      Выбрать
    • Март 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 августа, 2015
      Выбрать
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      This indicator presents data by sex on employees' average hourly earnings. The concept of earnings, as applied in wage statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers' contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Data are also disaggregated by occupation. Statistics on average hourly earnings by sex are the basis for the calculation of the gender pay gap. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for men.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for women.
  • B
    • Июнь 2015
      Источник: Barro-Lee
      Загружен: Knoema
      Дата обращения к источнику: 12 октября, 2015
      Выбрать
      Data cited at: Barro-Lee  
    • Апрель 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 февраля, 2016
      Выбрать
      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.
    • Июнь 2019
      Источник: United Nations COMTRADE
      Загружен: Knoema
      Дата обращения к источнику: 08 июля, 2019
      Выбрать
      Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
    • Апрель 2017
      Источник: Bloom Consulting
      Загружен: Knoema
      Дата обращения к источнику: 24 мая, 2017
      Выбрать
      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • Сентябрь 2015
      Источник: Institute of Statistics and Economic Studies, Burundi
      Загружен: Knoema
      Дата обращения к источнику: 29 сентября, 2015
      Выбрать
  • C
    • Октябрь 2017
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2018
      Выбрать
      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • Июль 2019
      Источник: Government of Canada
      Загружен: Knoema
      Дата обращения к источнику: 08 июля, 2019
      Выбрать
      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • Июнь 2019
      Источник: Statistics Canada
      Загружен: Knoema
      Дата обращения к источнику: 20 июня, 2019
      Выбрать
      For the location "Puerto Rico" data is available from 1990.
    • Май 2018
      Источник: China Association of Automobile Manufacturers
      Загружен: Shakthi Krishnan
      Дата обращения к источнику: 13 сентября, 2018
      Выбрать
      World: Car Sales by Country 2017
    • Январь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 сентября, 2016
      Выбрать
    • Декабрь 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 сентября, 2016
      Выбрать
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Декабрь 2018
      Источник: Common Market for Eastern and Southern Africa
      Загружен: Knoema
      Дата обращения к источнику: 11 июля, 2019
      Выбрать
      Data cited at: https://comstat.comesa.int/FDI2016V1
    • Сентябрь 2018
      Источник: Common Market for Eastern and Southern Africa
      Загружен: Knoema
      Дата обращения к источнику: 11 июля, 2019
      Выбрать
      Data cited at: https://comstat.comesa.int/HCPI2016 COMESA: Harmonized Consumer Price Index, 2010 December - 2018 May
    • Январь 2011
      Источник: Common Market for Eastern and Southern Africa
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2015
      Выбрать
    • Апрель 2019
      Источник: Common Market for Eastern and Southern Africa
      Загружен: Knoema
      Дата обращения к источнику: 10 апреля, 2019
      Выбрать
      Data cited at: https://comstat.comesa.int/INTGRA2016
    • Июнь 2018
      Источник: Common Market for Eastern and Southern Africa
      Загружен: Knoema
      Дата обращения к источнику: 25 октября, 2018
      Выбрать
      Data cited at: https://comstat.comesa.int/COMESAMECA2018
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2016
      Выбрать
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Июнь 2019
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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
    • Июль 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 11 июля, 2019
      Выбрать
      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.
    • Февраль 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2019
      Выбрать
      The FAOSTAT monthly CPI & Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI.  The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Декабрь 2018
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 22 февраля, 2019
      Выбрать
      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).
    • Январь 2019
      Источник: Transparency International
      Загружен: Pallavi S
      Дата обращения к источнику: 01 февраля, 2019
      Выбрать
      Data cited at CORRUPTION PERCEPTIONS INDEX 2018 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/cpi2018 Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • Сентябрь 2017
      Источник: Knoema
      Загружен: Knoema
      Дата обращения к источнику: 03 октября, 2017
      Выбрать
      Collect the cost of Consulting Services, diagnostics services and clinical procedures. If you are residing in Major cities/towns where you have both Public and Private Healthcare services, you can join this project and earn money.
    • Апрель 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 20 августа, 2015
      Выбрать
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • Апрель 2018
      Источник: The United States President's Emergency Plan for AIDS Relief
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2018
      Выбрать
      Operating unit-level results for 2016 and prior years represent aggregated totals. For 2015 and 2016, results are available at the subnational level. For 2014 results and prior, the data can only be viewed and explored in aggregate country or regional form. General patterns can be explored for all results, allowing the investigation of trends within and among different operating units. Some variation exists between indicator versions from PEPFAR during 2004-2010, 2011-2014, and 2015-2016. More detail regarding these differences can be found in the indicator reference documents and in reference materials attached to this dashboard.
    • Октябрь 2018
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2019
      Выбрать
      The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI)
    • Июнь 2017
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 24 августа, 2018
      Выбрать
    • Апрель 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2018
      Выбрать
      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
    • Июль 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2016
      Выбрать
      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
    • Декабрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 2016
      Выбрать
      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.
    • Май 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • Декабрь 2018
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2019
      Выбрать
      UNODC Assaults, Kidnapping, Robbery, Sexual Offences, Sexual Rape, Total Sexual Violence   Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from organic soils under cropland (item: Cropland organic soils) and grassland (item: Grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
    • Июнь 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 июня, 2019
      Выбрать
      This table shows exchange rates for currencies used in over 190 world economies presented in a cross rates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
  • D
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Days not worked as a result of strikes and lockouts represent the total number of working days not worked as a result of strikes and lockouts in progress during the year. It is measured in terms of the sum of the actual working days during which work would normally have been carried out by each worker involved had there been no stoppage. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Translates the average number of days not worked because of strikes and lock-out per 1000 workers.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Rates of days not worked due to strikes and lockouts represent the severity rates of strikes and lockouts, calculated in terms of the number of days not worked per 1'000 workers, unless otherwise stated in the notes. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июнь 2019
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 02 июня, 2019
      Выбрать
      The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses' datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UNdata. This latest update includes several datasets on international travel and migration inflows and outflows, and on incoming and departing international migrants by several characteristics, as reported by the national authorities to the UN Statistics Division for the reference years 2010 to the present as available.
    • Декабрь 2007
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 23 мая, 2019
      Выбрать
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • Июль 2018
      Источник: U.S. Department of Commerce, Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 10 августа, 2018
      Выбрать
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Discouraged job-seekers refer to those persons of working age who during a specified reference period were without work and available for work, but did not look for work in the recent past for specific reasons (for example, believing that there were no jobs available, believing there were none for which they would qualify, or having given up hope of finding employment). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • Апрель 2011
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 23 июля, 2018
      Выбрать
    • Декабрь 2008
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Peter Speyer
      Выбрать
      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
  • E
    • Август 2013
      Источник: East African Community
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2013
      Выбрать
      East African Community Socio-economic Database, 2013
    • Август 2013
      Источник: East African Community
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2013
      Выбрать
      East African Community Trade Statistics, 2013
    • Июль 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2016
      Выбрать
    • Август 2013
      Источник: Economic Community of Central African States
      Загружен: Knoema
      Дата обращения к источнику: 22 августа, 2013
      Выбрать
      Economic Community of Central African States Statistics, 2013
    • Декабрь 2015
      Источник: United Nations Development Programme
      Загружен: Misha Gusev
      Выбрать
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • Ноябрь 2018
      Источник: Climatescope
      Загружен: Knoema
      Дата обращения к источнику: 27 февраля, 2019
      Выбрать
      World: Electricity Prices
    • Декабрь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
    • Февраль 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories, Vol. 4, Ch. 2 and 11(http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by crop and N content in residues.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
    • Февраль 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.
    • Май 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • Май 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2019
      Выбрать
      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:
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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. 
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. Data are also disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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. 
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age populion. Data by level of education are provided on the highest level of education completed.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 15 марта, 2019
      Выбрать
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • Июль 2018
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 11 июля, 2018
      Выбрать
      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    • Сентябрь 2015
      Источник: Multiple Sources
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2015
      Выбрать
    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
      Выбрать
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • Сентябрь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 октября, 2013
      Выбрать
      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
  • F
    • Май 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • Июнь 2012
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2012
      Выбрать
      This dataset represents Food Consumption, Food Production and Trade by various Food items. Note: data represent values for time periods (1990-1992, 1995-97, 2000-02, 2005-07) and is shown as data for the last year of time period (1992, 1997, 2002, 2007).
    • Октябрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 20 ноября, 2018
      Выбрать
      The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • Ноябрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • Март 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • Март 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The Fertilizers by Product dataset contains information on product amounts for the Production, Trade, Agriculture Use and Other Uses of chemical and mineral fertilizers products, over the time series 2002-present. The fertilizer statistics data are validated separately for a set of over thirty individual products. Both straight and compound fertilizers are included.
    • Февраль 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2018
      Выбрать
      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
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2019
      Выбрать
    • Июнь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 июля, 2018
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data refers to the number of women employed in the agricultural sector as a percent of total employment in agriculture
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data refers to the number of women employed in the industry sector as a percent of total employment in industry.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to the number of women employed in the services sector as a percent of total employment in services.
    • Июль 2019
      Источник: AfricaFertilizer
      Загружен: Knoema
      Дата обращения к источнику: 10 июля, 2019
      Выбрать
    • Декабрь 2017
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The dataset contains data on Import and Export Value (expressed in 1000 USD) for a selected list of fertilizers, from 1961 on wards. Country and country aggregate data are available. The fertilizers covered are: Nitrogenous fertilizers; Phosphate fertilizers; Potash fertilizers; Fertilizers Manufactured, nes; Fertilizers, Organic; Natural Phosphates; Natural Potassic Salts; Natural Sodium Nitrate.
    • Октябрь 2018
      Источник: International Federation of Association Football
      Загружен: Knoema
      Дата обращения к источнику: 25 марта, 2019
      Выбрать
      Monthly updates of FIFA World Football Men's Ranking 
    • Август 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      This indicator is a proxy for the quality of health care. It represents the percentage of the population without access to health care due to financial resource deficit. The threshold for having sufficient financial resources is US$239 per person per year. A higher figure indicates worse levels of coverage. To estimate the quality of health care, this indicator uses as a proxy the relative difference between per capita health expenditure in a given country and its median value in countries with a low level of vulnerability.To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2019
      Выбрать
      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
    • Сентябрь 2017
      Источник: United Nations World Food Programme
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2017
      Выбрать
      IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • Сентябрь 2017
      Источник: United Nations World Food Programme
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2017
      Выбрать
      The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • Сентябрь 2017
      Источник: United Nations World Food Programme
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2017
      Выбрать
      IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • Сентябрь 2017
      Источник: Knoema
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2017
      Выбрать
      Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
    • Январь 2017
      Источник: Knoema
      Загружен: Knoema
      Дата обращения к источнику: 03 января, 2017
      Выбрать
      Version - 2  Note: Added new location
    • Сентябрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 04 октября, 2014
      Выбрать
      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • Август 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 августа, 2018
      Выбрать
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. These figures correspond to the Statistical Annexes of the UNCTAD World Investment Report. The World Investment Report, which is released in June each year (t), contains annual data up to the year before (t-1). However, at the time of publication, the data for the most recent year are still preliminary and are subject to revision by the national authorities. When they revise data, UNCTAD updates its database accordingly. The dataset also presents the following indicators: the percentage share of each economy/group in the world, and percentage ratios of FDI to GDP. 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 an 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
    • Август 2018
      Источник: General Authority for Statistics, Kingdom of Saudi Arabia
      Загружен: Shakthi Krishnan
      Дата обращения к источнику: 10 сентября, 2018
      Выбрать
    • Июль 2019
      Источник: U.S. Census Bureau
      Загружен: Knoema
      Дата обращения к источнику: 08 июля, 2019
      Выбрать
    • Июнь 2019
      Источник: Bahrain Open Data Portal
      Загружен: Knoema
      Дата обращения к источнику: 21 июня, 2019
      Выбрать
      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
    • Май 2019
      Источник: Kuwait Central Statistical Bureau
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2019
      Выбрать
    • Январь 2019
      Источник: Uganda Bureau of Statistics
      Загружен: Knoema
      Дата обращения к источнику: 19 марта, 2019
      Выбрать
    • Январь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The database contains data on the production and trade in roundwood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Roundwood removals (production) by type of wood and assortment - Production and trade in roundwood, woodfuel and other basic products - Industrial roundwood by assortment and species - Sawnwood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
    • Декабрь 2016
      Источник: Carbon Dioxide Information Analysis Center
      Загружен: Knoema
      Дата обращения к источнику: 17 мая, 2017
      Выбрать
      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
    • Июль 2015
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
      Выбрать
      The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
    • Апрель 2019
      Источник: Fund for Peace
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2019
      Выбрать
      Data cited at: Fragile States Index - https://fragilestatesindex.org/ The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
    • Декабрь 2018
      Источник: Freedom House
      Загружен: Knoema
      Дата обращения к источнику: 07 марта, 2019
      Выбрать
      Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for many countries. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • Апрель 2012
      Источник: Agi Data
      Загружен: Knoema
      Выбрать
      Experts commonly support the notion that access to information is integral to the promotion of participation, transparency and accountability in any given society. A freedom of information framework aims at improving the efficiency of the government and increasing the transparency of its functioning by: 1. Regularly and reliably providing government documents to the public; 2. Educating the public on the significance of transparent government;3. Facilitating appropriate and relevant use of information in the lives of individuals
    • Апрель 2017
      Источник: Freedom House
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2018
      Выбрать
      Variables converted from character to numeric as follow:Variables under consideration are top 3 vars i.e. Status, print and Broadcast 1 = Free (F) 2 = Partly Free (PF) 3 = Not Free (NF) Under source it values are present like: "F" , "PF" and "NF"  Note:- Date range has been considered as follow: Jan.1981-Aug.1982 is considered as 1982 Aug.1982-Nov.1983 is considered as 1983 Nov.1983-Nov.1984 is considered as 1984 Nov.1984-Nov.1985 is considered as 1985 Nov.1985-Nov.1986 is considered as 1986 Nov.1986-Nov.1987 is considered as 1987   About Freedom of the press: Freedom of the Press, an annual report on media independence around the world which assesses the degree of print, broadcast, and digital media freedom in 199 countries and territories. Published since 1980, it provides numerical scores and country narratives evaluating the legal environment for the media, political pressures that influence reporting, and economic factors that affect access to news and information. Freedom of the Press is the most comprehensive data set available on global media freedom and serves as a key resource for policymakers, international institutions, journalists, activists, and scholars worldwide.
  • G
    • Сентябрь 2017
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 14 ноября, 2017
      Выбрать
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
    • Сентябрь 2017
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 08 ноября, 2017
      Выбрать
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • Сентябрь 2017
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2017
      Выбрать
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.
    • Июль 2019
      Источник: Global Database of Events, Language, and Tone
      Загружен: Knoema
      Дата обращения к источнику: 09 июля, 2019
      Выбрать
      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • Июль 2019
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2019
      Выбрать
      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:
    • Январь 2017
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 09 февраля, 2017
      Выбрать
      This dataset includes gender inequality and development indices.
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2019
      Выбрать
      This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank, and cover, where available: -Current Gross National Income (GNI) in US $ millions; -GNI per capita (US $); -Population; -Energy use as kilogram of oil per capita; -Average Life Expectancy of Adults; and -Adult Literacy Rate as a percentage of the country population. Data for Sudan include South Sudan, with the exception of total population, which is reported separately.
    • Февраль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 27 февраля, 2019
      Выбрать
      Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.
    • Октябрь 2015
      Источник: HelpAge International
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2015
      Выбрать
      The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
    • Март 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 марта, 2018
      Выбрать
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • Июль 2011
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 сентября, 2017
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • Декабрь 2018
      Источник: TRACE International
      Загружен: Knoema
      Дата обращения к источнику: 30 января, 2019
      Выбрать
      'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted. Anti-corruption laws enacted by a country and information about enforcement of those laws. Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants. Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains. For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
    • Март 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2018
      Выбрать
      Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
    • Ноябрь 2017
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2017
      Выбрать
      This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
    • Декабрь 2013
      Источник: Transparency International
      Загружен: Knoema
      Дата обращения к источнику: 20 февраля, 2014
      Выбрать
      Data cited at: Global Corruption Barometer (2013) by Transparency International is licensed under CC-BY-ND 4.0 Global Corruption Barometer is the largest world-wide public opinion survey on corruption - See more at: http://www.transparency.org/gcb2013/in_detail#sthash.hey9okGH.dpuf
    • Июль 2017
      Источник: International Telecommunication Union
      Загружен: Shakthi Krishnan
      Дата обращения к источнику: 13 сентября, 2017
      Выбрать
        The Global Cybersecurity Index (GCI) is a survey that measures the commitment of Member States to cybersecurity in order to raise awareness. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. One-hundred and thirty-four Member States responded to the survey throughout 2016. Member States who did not respond were invited to validate responses determined from open-source research. As such, the GCI results reported herein cover all 193 ITU Member States. The 2017 publication of the GCI continues to show the commitment to cybersecurity of countries around the world. The overall picture shows improvement and strengthening of all five elements of the cybersecurity agenda in various countries in all regions. However, there is space for further improvement in cooperation at all levels, capacity building and organizational measures. As well, the gap in the level of cybersecurity engagement between different regions is still present and visible. The level of development of the different pillars varies from country to country in the regions, and while commitment in Europe remains very high in the legal and technical fields in particular, the challenging situation in the Africa and Americas regions shows the need for continued engagement and support. In addition to providing the GCI score, this report also provides a set of illustrative practices that give insight into the achievements of certain countries.
    • Февраль 2017
      Источник: Global Democracy Ranking
      Загружен: Knoema
      Дата обращения к источнику: 21 сентября, 2017
      Выбрать
      The Democracy Ranking 2016 compares the development of quality of democracy in 112 countries during the years 2011-2012 with 2014-2015. It is based on the following dimensions: politics (weighted with 50%), economy (10%), ecology and environment (10%), gender equality (10%), health and health status (10%), and knowledge (10%). The possible values that a country can achieve go from 1 (minimum) to 100 (maximum) (the entire scale is thus 1-100). Rank change: + sign shows improvement in rank and - sign shows deterioration in rank
    • Июнь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 19 июля, 2018
      Выбрать
      The energy subsidy estimates reported here are based on the broad notion of post-tax subsidies, which arise when consumer prices are below supply costs plus a tax to reflect environmental damage and an additional tax applied to all consumption goods to raise government revenues. Pre-tax subsidies, which arise when consumer prices are below supply costs, are also reported as a component of post-tax subsidies. These subsidies will not necessarily coincide with definitions used by governments or with their reported subsidy numbers. The energy subsidy estimates are not available for the following countries in 2013: Bhutan, Central African Republic, Chad, Comoros, Eritrea, Fiji, Gambia, Guinea, Guinea-Bissau, Kiribati, Kosovo, Lao P.D.R., Liberia, Maldives, Marshall Islands, Mauritius, Micronesia, Niger, Palau, Samoa, San Marino, São Tomé and Príncipe, Seychelles, Sierra Leone, Solomon Islands, South Sudan, St. Lucia, St. Vincent and the Grenadines, Swaziland, Timor-Leste, Tonga, Tuvalu, and Vanuatu. In 2015, estimates are not available for two addtional countries: Burundi and Togo.
    • Ноябрь 2017
      Источник: Global Entrepreneurship and Development Institute
      Загружен: Knoema
      Дата обращения к источнику: 16 марта, 2018
      Выбрать
      Global Entrepreneurship Index provides information about global entrepreneurship sub Index ranks and scoring of all countries.It also provides information about certain indicators like attitudes,abilities and aspirations with their ranks and scores
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Inclusion (Global Findex) Database Publication: https://datacatalog.worldbank.org/dataset/global-financial-inclusion-global-findex-database License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Inclusion Database provides 850+ country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, employment status and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. World Bank: Washington, DC.
    • Март 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2018
      Выбрать
      Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
    • Январь 2014
      Источник: Oxfam
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2014
      Выбрать
      Around the world, one in eight people go to bed hungry every night, even though there is enough food for everyone. Our graph illustrates how overconsumption, misuse of resources and waste are common elements of a system that leaves hundreds of millions without enough to eat.
    • Сентябрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2015
      Выбрать
      DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
    • Декабрь 2018
      Источник: World Economic Forum
      Загружен: Shakthi Krishnan
      Дата обращения к источнику: 03 января, 2019
      Выбрать
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic:  The Global Gender Gap Report 2018 Publication URL: https://www.weforum.org/reports/the-global-gender-gap-report-2018 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   Gender parity is fundamental to whether and how economies and societies thrive. Ensuring the full development and appropriate deployment of half of the world’s total talent pool has a vast bearing on the growth, competitiveness and future-readiness of economies and businesses worldwide. The Global Gender Gap Report benchmarks 149 countries on their progress towards gender parity across four thematic dimensions: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. In addition, this year’s edition studies skills gender gaps related to Artificial Intelligence (AI)
    • Сентябрь 2018
      Источник: Dual Citizen LLC
      Загружен: Knoema
      Дата обращения к источнику: 21 сентября, 2018
      Выбрать
      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.
    • Октябрь 2017
      Источник: Emission Database for Global Atmospheric Research
      Загружен: Knoema
      Дата обращения к источнику: 10 января, 2018
      Выбрать
      Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
    • Июль 2016
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 13 января, 2017
      Выбрать
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Information Technology Report 2016 Publication URL: https://www.weforum.org/reports/the-global-information-technology-report-2016 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
    • Июль 2018
      Источник: Global Innovation Index
      Загружен: Knoema
      Дата обращения к источнику: 02 августа, 2018
      Выбрать
      The Global Innovation Index (GII) provides detailed metrics about the innovation performance of 126 countries which represent 90.8% of the world’s population and 96.3% of global GDP. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication.   The GII 2018 marks the 11th edition of the GII, and the beginning of its second decade providing data and insights gathered from tracking innovation across the globe. This year’s edition, is dedicated to the theme of Energizing the World with Innovation. It analyses the energy innovation landscape of the next decade and identifies possible breakthroughs in fields such as energy production, storage, distribution, and consumption. It also looks at how breakthrough innovation occurs at the grassroots level and describes how small-scale renewable systems are on the rise.
    • Август 2018
      Источник: Internal Displacement Monitoring Centre
      Загружен: Knoema
      Дата обращения к источнику: 29 августа, 2018
      Выбрать
      Global Internal Displacement Database (GIDD) aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of internal displacement associated with conflict and generalized violence (2014-2015), displacement associated with sudden-onset natural hazard-related disasters (2008-2015).
    • Сентябрь 2018
      Источник: Oxford Poverty & Human Development Initiative
      Загружен: Knoema
      Дата обращения к источнику: 17 января, 2019
      Выбрать
      The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators (see left), the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics. This makes it invaluable as an analytical tool to identify the most vulnerable people – the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively. The global MPI was developed by OPHI with the UN Development Programme (UNDP) for inclusion in UNDP’s flagship Human Development Report in 2010. It has been published in the HDR ever since.    
    • Декабрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2018
      Выбрать
      GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.
    • Июнь 2019
      Источник: Institute for Economics and Peace
      Загружен: Knoema
      Дата обращения к источнику: 04 июля, 2019
      Выбрать
      Data cited at: Institute for Economics and Peace The Global Peace Index 2019
    • Июль 2019
      Источник: GlobalPetrolPrices.com
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2019
      Выбрать
      Data cited at: Global Petrol Prices web site - https://www.globalpetrolprices.com/ License: https://creativecommons.org/licenses/by-nc/4.0/ Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013    
    • Май 2014
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 27 августа, 2015
      Выбрать
      Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013. Comparable estimates based on systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports, using mixed effects linear regression to correct for bias in self-reports. Data for prevalence of obesity and overweight by age, sex, country, and year (n=19 244) obtained with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Research by the staff of the Institute for Health Metrics and Evalutaion with co-authors. Published online 28 May 2014, "The Lancet" Volume 384, No. 9945, p766–781. DOI: http://dx.doi.org/10.1016/S0140-6736(14)60460-8
    • Декабрь 2014
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 06 июня, 2018
      Выбрать
      The Global status report on violence prevention 2014, which reflects data from 133 countries, is the first report of its kind to assess national efforts to address interpersonal violence, namely child maltreatment, youth violence, intimate partner and sexual violence, and elder abuse. Jointly published by WHO, the United Nations Development Programme, and the United Nations Office on Drugs and Crime, the report reviews the current status of violence prevention efforts in countries, and calls for a scaling up of violence prevention programmes; stronger legislation and enforcement of laws relevant for violence prevention; and enhanced services for victims of violence.
    • Апрель 2014
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 2016
      Выбрать
      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • Январь 2019
      Источник: INSEAD
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2019
      Выбрать
      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • Май 2019
      Источник: KPMG
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2019
      Выбрать
      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2019. Provided by KPMG.
    • Ноябрь 2018
      Источник: Institute for Economics and Peace
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2019
      Выбрать
      Data cited at: Institute for Economics and Peace   The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.
    • Январь 2017
      Источник: U.S. Geological Survey
      Загружен: Knoema
      Дата обращения к источнику: 14 декабря, 2017
      Выбрать
    • Август 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2018
      Выбрать
      This dataset shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance (NTB) of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).   NTB=(EX-IM)/EX+IM)
    • Август 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 27 августа, 2018
      Выбрать
      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • Февраль 2017
      Источник: National Institute of Statistics and Censuses, Costa Rica
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2017
      Выбрать
      National Accounts of Costa Rica
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 25 июня, 2019
      Выбрать
      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterpart claim belongs. The counterpart sectors include non-financial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • Июнь 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Май 2019
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 23 июня, 2019
      Выбрать
      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 27 марта, 2019
      Выбрать
      This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
    • Октябрь 2017
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 04 сентября, 2018
      Выбрать
    • Февраль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 апреля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 июля, 2019
      Выбрать
      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:
  • H
    • Апрель 2013
      Источник: Institute of Statistics and Economic Studies, Burundi
      Загружен: Knoema
      Выбрать
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 июля, 2019
      Выбрать
    • Ноябрь 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 26 мая, 2017
      Выбрать
      The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product, Gross Government Debt, and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
    • Март 2010
      Источник: Maddison Project
      Загружен: Knoema
      Выбрать
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • Апрель 2010
      Источник: Institute of Statistics and Economic Studies, Burundi
      Загружен: Knoema
      Дата обращения к источнику: 28 апреля, 2013
      Выбрать
      Note : Source : base de sondage RGPH 2008
    • Январь 2019
      Источник: Financial Tracking Service
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      Data cited at: Financial Tracking Service
  • I
    • Июнь 2018
      Источник: International Development Association
      Загружен: Pallavi S
      Дата обращения к источнику: 24 мая, 2019
      Выбрать
      The World Bank’s IDA Resource Allocation Index (IRAI) is based on the results of the annual CPIA exercise that covers the IDA eligible countries.The CPIA rates countries against a set of 16 criteria grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The criteria (pdf) are focused on balancing the capture of the key factors that foster growth and poverty reduction, with the need to avoid undue burden on the assessment process. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IRAI. 
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: IDA Results Measurement System Publication: https://datacatalog.worldbank.org/dataset/ida-results-measurement-system License: http://creativecommons.org/licenses/by/4.0/   The IDA Results Measurement System dataset measures progress on aggregate outcomes for IDA countries for selected indicators. It includes key country outcome indicators covering areas that are consistent with the Millennium Development Goals, are priorities in many national development plans and/or poverty reduction strategies, and reflect IDA's activities in IDA countries. The indicators capture both the economic growth and the human development priorities of ongoing IDA programs.
    • Июнь 2018
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2018
      Выбрать
      Member countries are allocated votes at the time of membership and subsequently for additional subscriptions to capital. Votes are allocated differently in each organization. Each member receives the votes it is allocated under IDA replenishments according to the rules established in each IDA replenishment resolution. Votes consist of subscription votes and membership votes.
    • Февраль 2011
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Выбрать
      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • Февраль 2011
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Выбрать
      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • Декабрь 2010
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 31 июля, 2013
      Выбрать
      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • Сентябрь 2011
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Выбрать
      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • Декабрь 2010
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Выбрать
      IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
    • Июль 2017
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 10 октября, 2017
      Выбрать
      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • Июль 2018
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2018
      Выбрать
      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.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 ноября, 2017
      Выбрать
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 ноября, 2017
      Выбрать
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Сентябрь 2015
      Источник: Malaria Atlas Project, University of Oxford
      Загружен: Knoema
      Дата обращения к источнику: 16 июня, 2016
      Выбрать
      This Dataset shows the modelled parasite rate for Plasmodium falciparum for the years 2000-2015 for all African countries where it is endemic. The Dataset shows the percentage of 2-10 year olds infected by the parasite for each year.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 04 августа, 2014
      Выбрать
      The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 06 июня, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit. Data are provided by geographical coverage, which entails a disaggregation by rural and urban areas. The differentiation between these geographic areas is made according to national definitions.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The incidence of part-time employment, also known as the part-time employment rate, represents the percentage of employment that is part time. Part time employment in this table is based on a common definition of less than 35 actual weekly hours worked. It is derived from the indicator on employment by sex and actual weekly hours worked.
    • Февраль 2019
      Источник: Heritage Foundation
      Загружен: Knoema
      Дата обращения к источнику: 04 февраля, 2019
      Выбрать
      Data cited at: Heritage Foundation   Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed
    • Январь 2019
      Источник: Coffee Board of India
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
    • Июль 2018
      Источник: Ministry of Finance, India
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The dataset provides the data on the direction of imports and exports by regions and Countries in Crore rupees and Million U.S, dollars   India's Economic Survey: Direction of Trade, 2017-18
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Май 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2019
      Выбрать
      Inflow of migrants refer to the number of immigrants who changed their country of usual residence during the reference period. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by sex and country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The harmonized series for informal employment and informal sector are derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. For more information, refer to the indicator description.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The harmonized series for informal employment and informal sector are derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. For more information, refer to the indicator description.
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 30 марта, 2016
      Выбрать
    • Январь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The Fertilizer archive dataset contains information on the Production, Trade and Consumption of chemical and mineral fertilizers products, both in total nutrients and in amount of product, over the time series 1961 to 2002. The dataset also contains data on Prices paid by farmers expressed in local currencies (as a consequence no country aggregates are available) for single fertilizer products. This dataset is an archive and it is disseminated as it was in the previous FAOSTAT System. No dataset updates made or to be made in the future.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2016
      Выбрать
      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • Июнь 2018
      Источник: Barro-Lee
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2018
      Выбрать
      Data cited at: Barro-Lee   The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • Июль 2019
      Источник: U.S. Energy Information Administration
      Загружен: Knoema
      Дата обращения к источнику: 08 июля, 2019
      Выбрать
    • Август 2014
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 02 сентября, 2015
      Выбрать
      This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
    • Июль 2017
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2018
      Выбрать
      This dataset is the basis for the International Food Security Assessment, 2017-27 released in July 2017. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
    • Декабрь 2017
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 06 февраля, 2018
      Выбрать
      The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
    • Январь 2018
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 16 марта, 2018
      Выбрать
    • Июнь 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 июня, 2019
      Выбрать
      Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
    • Январь 2006
      Источник: American University
      Загружен: Knoema
      Дата обращения к источнику: 12 июля, 2016
      Выбрать
      International patent protection: 1960–2005 Walter G. Park ∗ Department of Economics, American University, 4400 Massachusetts Avenue NW, Washington, DC 20016, USA Received 24 October 2007; received in revised form 14 December 2007; accepted 29 January 2008 Available online 10 March 2008 http://fs2.american.edu/wgp/www/res_policy08.pdf
    • Август 2018
      Источник: Property Rights Alliance
      Загружен: Knoema
      Дата обращения к источнику: 26 сентября, 2018
      Выбрать
      The 2018 International Property Rights Index, now in its twelve edition, offers a unique and original perspective on the correlations between the societies and economies of 125 countries accounting for 98% of world GDP, and 93% of the world’s population. The Index, during all these years, confirm that there is a direct correlation between property rights and different dimensions of economic development. Note: Only parent indicators present in 2018 report. Other indicators are collected from historical reports.
    • Июнь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 июля, 2013
      Выбрать
      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.
    • Декабрь 2016
      Источник: Federal Communications Commission
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2017
      Выбрать
    • Июнь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 30 октября, 2018
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: ESCAP-World Bank: International Trade Costs Publication: https://datacatalog.worldbank.org/dataset/escap-world-bank-international-trade-costs License: http://creativecommons.org/licenses/by/4.0/   The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.
    • Октябрь 2016
      Источник: Statistics Netherlands
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2018
      Выбрать
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; Imports and exports of services by country, 2003-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80414ENG&_theme=1118 License: http://creativecommons.org/licenses/by/4.0/  This table contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures. Data available from 2003 to 2013. Status of the figures: The figures are definite. Changes as of 8 October 2014: None, this table has been discontinued. When will new figures be published? No longer applicable.
    • Октябрь 2015
      Источник: Water FootPrint Network
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
      Выбрать
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: International virtual water flow statistics  Publication: https://waterfootprint.org/en/resources/waterstat/international-virtual-water-flow-statistics/ Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) The water footprint of humanity, Proceedings of the National Academy of Sciences, 109(9): 3232–3237 License: https://creativecommons.org/licenses/by-sa/3.0/
    • Декабрь 2012
      Источник: Internet World Stats
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2013
      Выбрать
      Internet World Stats is an International website that features up to date world Internet Usage, Population Statistics, Travel Stats and Internet Market Research Data, for over 233 individual countries and world regions.
    • Февраль 2018
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 02 августа, 2018
      Выбрать
      Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
    • Март 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
    • Январь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • Январь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
    • Декабрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 25 марта, 2016
      Выбрать
      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.
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 02 июля, 2019
      Выбрать
      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 04 августа, 2014
      Выбрать
      The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
  • J
    • Май 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 июня, 2019
      Выбрать
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • K
    • Май 2017
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 09 апреля, 2018
      Выбрать
      “Kidnapping” means unlawful detainment and taking away of a person or persons against their will (including through the use of force, threat, fraud or enticement) for the purpose of demanding an illicit gain, any other economic gain or other material benefit for their liberation, or in order to oblige someone to do or not to do something. “Kidnapping” should include 'express kidnapping' for short periods of time but should exclude abduction of a minor in the context of disputes over child custody.
  • L
    • Декабрь 2017
      Источник: Ministry of Economy, UAE
      Загружен: Knoema
      Дата обращения к источнику: 17 мая, 2018
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The statistical concept of labour cost comprises remuneration for work performed, payments in respect of time paid for but not worked, bonuses and gratuities, the cost of food, drink and other payments in kind, cost of workers' housing borne by employers, employers' social security expenditures, cost to the employer for vocational training, welfare services and miscellaneous items, such as transport of workers, work clothes and recruitment, together with taxes regarded as labour cost. Data provided conveys the average labor cost (in local currency) per employee in the manufactur sector.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2019
      Выбрать
      This indicator provides the ratio of dependents (persons aged 0 to 14 + persons aged 15 and above that are either outside the labour force or unemployed) to total employment. The series is calculated based on ILO estimates that are harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2019
      Выбрать
      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. 
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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).
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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. 
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2019
      Выбрать
      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. 
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The labour force participation rate is the labour force as a percent of the working age population.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The labour force participation rate is the labour force as a percent of the working age population.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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. 
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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. 
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Ноябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2018
      Выбрать
      This indicator is a proxy for rights to social security and health. It represents the percentage of the population without legal health coverage. Coverage includes affiliated members of health insurance or estimation of the population having free access to health care services provided by the State. A higher figure indicates higher percentage of the population without legal health coverage.This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • Май 2019
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2019
      Выбрать
      Data cited at : https://www.bis.org/statistics/index.htm   Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
    • Май 2018
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 августа, 2018
      Выбрать
      The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
  • M
    • Декабрь 2011
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2011
      Выбрать
      Making Finance Work for Africa
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      This indicator conveys the share of employment in manufacturing. Employment in manufacturing is defined based on the International Standard Industrial Classification of All Economic Activities (ISIC). Employment refers to all persons of working age who, during a specified brief period, were in paid employment (whether at work or with a job but not at work) or in self-employment (whether at work or with an enterprise but not at work). This indicator is calculated based on data on employment by sex and economic activity. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Pallavi S
      Дата обращения к источнику: 05 августа, 2014
      Выбрать
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 июля, 2019
      Выбрать
      The data presented come from two international sources: (1) UN and International Resource Panel "Global Material Flows Database" for non-EU OECD and non-OECD countries, and (2) Eurostat  "Material Flows and Resource Productivity" database for EU OECD countries. It should be born in mind that the data should be interpreted with caution and that the time series presented here may change in future as work on methodologies for MF accounting progresses. Furthermore, data contain rough estimates for OECD and BRIICS aggregates. These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers. The use of materials in production and consumption processes has many economic, social and environmental consequences. These consequences often extend beyond the borders of countries or regions, notably when materials are traded internationally, either in the form of raw materials or as products embodying them. They differ among the various materials and among the various stages of the resource life cycle (extraction, processing, use, transport, end-of-life management). From an environmental point of view these consequences depend on:the rate of extraction and depletion of renewable and non-renewable resource stocksthe extent of harvest and the reproductive capacity and natural productivity of renewable resourcesthe associated environmental burden (e.g. pollution, waste, habitat disruption), and its effects on environmental quality (e.g. air, water, soil, biodiversity, landscape) and on related environmental services These data inform about physical flows of material resources at various levels of detail and at various stages of the flow chain. The information shows: a) the material basis of economies and its composition by major material groups, considering:the extraction of raw materials;the trade balance in physical terms;the consumption of materials;the material inputs b) the consumption of selected materials that are of environmental and economic significance. c) in-use stocks of selected products that are of environmental and economic significance. Domestic extraction used (DEU) refers to the flows of raw materials extracted or harvested from the environment and that physically enter the economic system for further processing or direct consumption (they are used by the economy as material factor inputs). Imports (IMP) and exports (EXP) are major components of the direct material flow indicators DMI (domestic material input) and DMC (domestic material consumption). They cannot be taken as indication of domestic resource requirements. Domestic material consumption (DMC) refers to the amount of materials directly used in an economy, which refers to the apparent consumption of materials. DMC is computed as DEU minus exports plus imports. Direct material input (DMI) is computed as DEU plus imports. The material groups are: Food: food crops (e.g. cereals, roots, sugar and oil bearing crops, fruits, vegetables), fodder crops (including grazing), wild animals (essentially marine catches), small amounts of non-edible biomass (e.g. fibres, rubber), and related products including livestock. Wood: harvested wood and traded products essentially made of wood (paper, furniture, etc.). Construction minerals: non-metallic construction minerals whether primary or processed. They comprise marble, granite, sandstone, porphyry, basalt, other ornamental or building stone (excluding slate); chalk and dolomite; sand and gravel; clays and kaolin; limestone and gypsum. Industrial minerals: non-metallic industrial minerals whether primary or processed (e.g. salts, arsenic, potash, phosphate rocks, sulphates, asbestos). Metals: metal ores, metals and products mainly made of metals. Fossil energy materials/carriers: coal, crude oil, natural gas and peat, as well as manufactured products predominantly made of fossil fuels (e.g. plastics, synthetic rubber).
    • Август 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      This indicator is a proxy for health system outcomes. It represents the number of maternal deaths per 10 000 live births. A higher figure indicates worse outcomes. This is one of five indicators measuring key dimensions (drivers) of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Labour cost is the cost incurred by the employer in the employment of labour in a specified reference period. It comprises remuneration for work performed, payments in respect of time paid for but not worked, bonuses and gratuities, the cost of food, drink and other payments in kind, cost of workers' housing borne by employers, employers' social security expenditures, cost to the employer for vocational training, welfare services and miscellaneous items, such as transport of workers, work clothes and recruitment, together with taxes regarded as labour cost. This is a harmonized series: (1) data reported as weekly, monthly and yearly are converted to hourly in the local currency series, using data on average weekly hours if available; and (2) data are converted to a common currency, using exchange rates for the series in U.S. dollars and using 2011 purchasing power parity (PPP) rates for the series in constant 2011 PPP $. The latter series allows for international comparisons by taking account the differences in relative prices between countries. 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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on labour cost is presented, whenever possible, in nominal terms and on the basis of the mean hourly labour cost per employee. Labour cost is the cost incurred by the employer in the employment of labour in a specified reference period. It comprises remuneration for work performed, payments in respect of time paid for but not worked, bonuses and gratuities, the cost of food, drink and other payments in kind, cost of workers' housing borne by employers, employers' social security expenditures, cost to the employer for vocational training, welfare services and miscellaneous items, such as transport of workers, work clothes and recruitment, together with taxes regarded as labour cost. . . Labour cost and compensation of employees are closely related concepts, with many common elements. If data on labour cost are not available, data are reported on the compensation of employees, a concept defined in the United Nations System of National Accounts 2008 as 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. The compensation of employees has two main components: a) wages and salaries payable in cash or in kind and b) social insurance contributions payable by employers, which include contributions to social security schemes; actual social contributions to other employment-related social insurance schemes and imputed social contributions to other employment-related social insurance schemes. 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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on earnings are presented, whenever possible, in nominal terms and on the basis of the mean of monthly earnings of all employees. The earnings of employees relate to the gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers' contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Statistics of earnings relate to the gross remuneration of employees, i.e. the total before any deductions are made by the employer. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Ноябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2018
      Выбрать
      Mean real monthly earnings growth of employees refers to the year on year percentage growth (or decline) of mean real wages. The earnings of employees relate to the gross remuneration in cash and in kind paid to employees deflated by the country's consumer price index, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers' contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Statistics of earnings relate to the gross remuneration of employees, i.e. the total before any deductions are made by the employer.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Mikhail Zhukovskii
      Дата обращения к источнику: 08 декабря, 2015
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year, and presented for categories at the 2-digit level of the classification. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2019
      Выбрать
      The median age marks the point where half the group is older than that age and half is younger. The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • Июнь 2019
      Источник: United Nations COMTRADE
      Загружен: Knoema
      Дата обращения к источнику: 25 июня, 2019
      Выбрать
    • Январь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2015
      Выбрать
      This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
    • Октябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2018
      Выбрать
      Merchandise trade matrix - detailed products, exports and imports in thousands of United States dollars, annual This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
    • Октябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2018
      Выбрать
      This Dataset presents product concentration and diversification indices.  The diversification index indicates whether the structure of exports or imports by product of a given country or country group differs from the world pattern. The product concentration index shows how exports and imports of individual countries or country groups are concentrated on a few products or otherwise distributed in a more homogeneous manner among a series of products.
    • Апрель 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2019
      Выбрать
      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. 
    • Февраль 2018
      Источник: United Nations Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 25 октября, 2018
      Выбрать
      Data cited at: https://comstat.comesa.int/gzcftfb
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
    • Февраль 2018
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 25 октября, 2018
      Выбрать
      Data cited at: https://high5.opendataforafrica.org/oiyxyh
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2018
      Выбрать
      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) and ground-level ozone (O3) have potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. Exposure to ground-level ozone (O3) has serious consequences for human health, contributing to, or triggering, respiratory diseases. These include breathing problems, asthma and reduced lung function (WHO, 2016; Brauer et al., 2016). Ozone exposure is highest in emission-dense countries with warm and sunny summers. The most important determinants are background atmospheric chemistry, climate, anthropogenic and biogenic emissions of ozone precursors such as volatile organic compounds, and the ratios between different emitted chemicals.
    • Февраль 2016
      Источник: Pew Research Center
      Загружен: Knoema
      Дата обращения к источнику: 05 февраля, 2016
      Выбрать
      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • Сентябрь 2018
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 27 июня, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: AfricaFertilizer
      Загружен: Knoema
      Дата обращения к источнику: 10 июля, 2019
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2019
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2019
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2019
      Выбрать
    • Апрель 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2019
      Выбрать
      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.
    • Март 2016
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 24 октября, 2016
      Выбрать
      3The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries. Between them, these countries account for 85 percent of the sub-Saharan Africa population, GDP, and infrastructure inflows. The countries included in the initial study were: Benin, Burkina Faso, Cameroon, Cape Verde, Chad, Côte d’Ivoire, Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, South Africa, Senegal, Sudan, Tanzania, Uganda, and Zambia. The study also represents an unprecedented effort to collect detailed economic and technical data on African infrastructure in relation to the fiscal costs of each of the sectors, future sector investment needs, and sector performance indicators. As a result, it has been possible for the first time to portray the magnitude of the continent’s infrastructure challenges and to provide detailed and substantiated estimates on spending needs, funding gaps, and the potential efficiency dividends to be derived from policy reforms.
    • Октябрь 2015
      Источник: Water FootPrint Network
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2015
      Выбрать
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: National water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/national-water-footprint-statistics/ Water footprints of national consumption (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. Water footprints of national production (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. License: https://creativecommons.org/licenses/by-sa/3.0/
    • Январь 2013
      Источник: Maddison Project
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
      Выбрать
      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.
    • Август 2018
      Источник: The National Committee on North Korea
      Загружен: Knoema
      Дата обращения к источнику: 13 августа, 2018
      Выбрать
    • Июль 2019
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 09 июля, 2019
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      A strike is a temporary work stoppage carried out by one or more groups of workers with a view to enforcing or resisting demands or expressing grievances, or supporting other workers in their demands or grievances. A lockout is a total or partial temporary closure of one or more places of employment, or the hindering of the normal work activities of employees, by one or more employers with a view to enforcing or resisting demands or expressing grievances, or supporting other employers in their demands or grievances. 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.
  • O
    • Октябрь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 октября, 2013
      Выбрать
      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
    • Февраль 2018
      Источник: Wikipedia
      Загружен: Knoema
      Дата обращения к источнику: 28 февраля, 2018
      Выбрать
      Data cited at: Wikipedia https://en.wikipedia.org Topic: Olympic medal table Publication URL: https://en.wikipedia.org/wiki/Olympic_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • Февраль 2018
      Источник: Wikipedia
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2018
      Выбрать
      Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • Февраль 2018
      Источник: Wikipedia
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2018
      Выбрать
      Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • Ноябрь 2018
      Источник: National Centre for Statistics and Information, Oman
      Загружен: Knoema
      Дата обращения к источнику: 09 ноября, 2018
      Выбрать
      Data cited at: https://data.gov.om/OMFRTRD2016 this Data set covers the statistical indicators illustrating the development of trade between Oman and other countries, and classification of  merchandise exports, re-exports and merchandise imports by commodity group, nature of materials, their final utilization and port of entry.  It includes also a table on of the balance of payments estimates.   The commodity classification used in the presentation of foreign trade data is the Hormonised System, which has been adopted in Oman since 1987, in addition to the SITC Revision (4) for international comparison.  Commodity values are estimated in Rial Omani on the basis of the (C.I.F.) value for imports (i.e. the cost, insurance and freight of goods to the custom points in Oman) and (F.O.B.) for exports and re-exports.
    • Декабрь 2018
      Источник: Open Data Watch
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2019
      Выбрать
      Data cited at: Open Data Watch https://opendatawatch.com/ Topic: Open Data Inventory (ODIN) data Publication: http://odin.opendatawatch.com/data/download License: https://creativecommons.org/licenses/by/4.0/   Score Type Options: Three sets of scores are available: raw, weighted, or standardized. Raw scores have values between 0 and 1 as recorded in the original assessment; subscores are simple totals. Weighted scores use a predefined weighting matrix; subscores are simple totals. Standardized scores are scaled from 0 to 100; subscores are weighted averages.
    • Май 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 мая, 2019
      Выбрать
      Other official flows are official sector transactions which do not meet the ODA criteria, e.g.:  i.) Grants to developing countries for representational or essentially commercial purposes;  ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent;  iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits");  iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms;  v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)];  vi.) Funds in support of private investment.
    • Август 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      This indicator is a proxy for financial protection in case of ill health. It represents the amount of money paid directly to health care providers in exchange for health goods and services as a percentage of total health expenditure. A higher figure indicates higher percentage of out-of-pocket payments. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
      Выбрать
      Commodity prices have declined sharply over the past three years, and output growth has slowed considerably among those emerging market and developing economies that are net exporters of commodities. A critical question for policymakers in these countries is whether commodity windfall gains and losses influence potential output or merely trigger transient fluctuations of actual output around an unchanged trend for potential output. The analysis in this chapter suggests that both actual and potential output move together with the commodity terms of trade but that actual output commoves twice as strongly as potential output. The weak commodity price outlook is estimated to subtract almost 1 percentage point annually from the average rate of economic growth in commodity exporters over 2015–17 as compared with 2012–14. In exporters of energy commodities, the drag is estimated to be larger: about 2¼ percentage points on average over the same period. The projected drag on the growth of potential output is about one-third of that for actual output.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2019
      Выбрать
      This measure of labour productivity is calculated using data on GDP in constant 2010 US dollars derived from the World Development Indicators database of the World Bank. To compute labour productivity as GDP per worker, ILO estimates for total employment are used.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2019
      Выбрать
      This measure of labour productivity is calculated using data on GDP (in constant 2011 international dollars in PPP) derived from the World Development Indicators database of the World Bank. To compute labour productivity as GDP per worker, ILO estimates for total employment are used.
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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
    • Декабрь 2018
      Источник: Passport Index
      Загружен: Knoema
      Дата обращения к источнику: 17 декабря, 2018
      Выбрать
      Passport Index is an interactive tool, which collects, displays and ranks the passports of the world. You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover. Visa Free Score Passports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival. Passport Power Rank Passports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank. Methodology The country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 марта, 2019
      Выбрать
      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2019
      Выбрать
      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • Март 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2019
      Выбрать
      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • Февраль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 февраля, 2019
      Выбрать
      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • Апрель 2018
      Источник: The United States President's Emergency Plan for AIDS Relief
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2018
      Выбрать
      This dataset illustrates expenditure totals by PEPFAR operating unit (OU) and fiscal year. Darker shading represents relatively greater funding amounts. To see detailed data for an OU, click on the OU on the map or select the OU from the Location menu and click the View Data button. Expenditure data are derived from a specific data collection process conducted annually among PEPFAR implementing partners. This data collection grew incrementally, starting with a limited number of operating units in the first year, and expanding to additional operating units for two subsequent years. FY 2014 data collection constitutes the first expenditure analysis data. Expenditure data are used to characterize how resources are used among different program areas within each operating unit.
    • Апрель 2018
      Источник: The United States President's Emergency Plan for AIDS Relief
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2018
      Выбрать
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      Description not available
    • Март 2016
      Источник: World Meteorological Organization
      Загружен: Knoema
      Дата обращения к источнику: 02 марта, 2016
      Выбрать
      CLIMAT is a code for reporting monthly climatological data assembled at land‐based meteorological surface observation sites to data centers. CLIMAT‐coded messages contain information on several meteorological variables that are important to monitor characteristics, changes, and variability of climate. Usually these messages are sent and exchanged via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO). The world is divided by WMO in 9 regions and Mozambique is in region I and also hosts a CBS Lead Centre. Region 1 has 354 RBCN stations from 28 countries, where 82 stations are part of GCOS and which are overseen by Mozambique. The monitoring results for these stations are shown from January to December 2012, some countries sent all CLIMAT reports, other countries sent some, and there countries did not send even one CLIMAT report. We can see that a lot of countries concentrate more on GSN Stations, sending more data from only those stations. The more efficient countries, which send between 90 to 100% of CLIMAT reports, are: CANARY ISLANDS, ST.HELENA ISLANDS, MARTIN DE VIVIES (ILE AMSTERDAM), ILES CROZET AND ILES KERGUELEN. The countries that do not send any CLIMAT reports are: BURUNDI, BOTWANA, DJIBOUTI, ERITREA, LESOTHO, MALAWI, RWANDA, SOMALIA, UGANDA AND SWAZILAND. In Mozambique, we have had difficulties in sending CLIMAT reports for circulation via the GTS and we have used as an alternative the German Meteorological Service, DWD.
    • Ноябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 27 декабря, 2018
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 06 июня, 2019
      Выбрать
      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. 
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCED).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • Декабрь 2018
      Источник: Political Terror Scale
      Загружен: Knoema
      Дата обращения к источнику: 30 января, 2019
      Выбрать
      citation: Gib­ney, Mark, Linda Cor­nett, Reed Wood, Peter Hasch­ke, and Daniel Arnon. 2016. The Polit­ic­al Ter­ror Scale 1976-2015. Date Re­trieved, from the Polit­ic­al Ter­ror Scale website: ht­tp://www.polit­ic­al­ter­rorscale.org.   Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare. 2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare. 3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted. 4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas. 5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
    • Март 2018
      Источник: Institute of Statistics and Economic Studies, Burundi
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2018
      Выбрать
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 февраля, 2019
      Выбрать
      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision and the rural urban distribution population source is World Urbanization Prospects: The 2014 Revision issued by the United Nations.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 февраля, 2019
      Выбрать
      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision issued by the United Nations.
    • Февраль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 февраля, 2019
      Выбрать
      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision and the rural urban distribution population source is World Urbanization Prospects: The 2014 Revision issued by the United Nations.
    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2015
      Выбрать
    • Март 2017
      Источник: United Nations Human Settlements Programme
      Загружен: Knoema
      Дата обращения к источнику: 02 августа, 2017
      Выбрать
      This dataset covers the topics of Urban population and proportion of urban population living in slum area across countries & regions for the year of 1990-2014
    • Май 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/
    • Май 2015
      Источник: Earth Policy Institute
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2015
      Выбрать
      This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2019
      Выбрать
      The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
    • Декабрь 2016
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 02 марта, 2017
      Выбрать
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
    • Июнь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 января, 2017
      Выбрать
      Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.
    • Январь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 25 января, 2019
      Выбрать
      CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
    • Февраль 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 03 апреля, 2019
      Выбрать
      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare  
    • Сентябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2018
      Выбрать
      This indicator conveys the proportion of children (defined as persons aged 5 to 17) involved in child labour, as well as the proportion of children involved in employment and the proportion of children involved in hazardous work. Children in employment include all those children who are engaged in any activity falling within the System of National Accounts' production boundary. Child labour is a subgroup of child employment, and it refers to children engaged in prohibited work or in types of work that should be eliminated given that they are injurious, negative or socially or morally undesirable according to national and international standards. More specifically, child labour comprises all children engaged in hazardous work, all children engaged in worst forms of child labour other than hazardous work, and employment below the minimum working age, excluding, where applicable, light work performed by children over the age of 13. For further information, see the SDG Indicators Metadata Repository.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      This indicator conveys the share of informal employment in total employment in the non-agricultural sector. Employment comprises all persons of working age who, during a specified brief period, were either in paid employment (whether at work or with a job but not at work) or in self-employment (whether at work or with an enterprise but not at work). Informal employment comprises persons who in their main or secondary jobs were (a) own-account workers, employers and members of producers' cooperatives employed in their own informal sector enterprises; (b) own-account workers engaged in the production of goods exclusively for own final use by their household (e.g. subsistence farming); (c) contributing family workers, regardless of whether they work in formal or informal sector enterprises; or (d) employees holding informal jobs, whether employed by formal sector enterprises, informal sector enterprises, or as paid domestic workers by households. For further information, see the SDG Indicators Metadata Repository (https://unstats.un.org/sdgs/metadata/) or ILOSTAT's indicator description (www.ilo.org/ilostat-files/Documents/description_IFL_EN.pdf).
    • Март 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 25 марта, 2019
      Выбрать
      This indicator conveys the share of the population effectively covered by a social protection system, including social protection floors. It also provides the coverage rates of the main components of social protection: child and maternity benefits, support for persons without a job, persons with disabilities, victims of work injuries and older persons. For further information, see the SDG Indicators Metadata Repository.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      The share of youth not in education, employment or training (also known as the NEET rate) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. It provides a measure of youth who are outside the educational system, not in training and not in employment, and thus serves as a broader measure of potential youth labour market entrants than youth unemployment, since it also includes young persons outside the labour force not in education or training. This indicator is also a better measure of the current universe of potential youth labour market entrants compared to the youth inactivity rate, as the latter includes those youth who are not in the labour force and are in education, and thus cannot be considered currently available for work. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • Апрель 2012
      Источник: Agi Data
      Загружен: Knoema
      Выбрать
      Financial declarations or income and asset disclosures (IADs) are quickly becoming an important tool for anticorruption agencies and governments to fight corruption. IAD systems can play two important roles within a broader framework of good governance: prevention and enforcement. In an effort to discover how best to design and implement an IAD system, the analysis conducted suggests that countries ultimately must design a system that best complements the environment in which it will function. However, there are several key principles that policy makers and practitioners need to consider: limit the number of filers to improve the odds of success, set modest and achievable expectations, provide resources commensurate with the mandate, prioritize verification procedures to align with available resources, and balance privacy concerns with public access to declaration.
    • Апрель 2019
      Источник: Inter-American Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Public Debt around the World
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      Description not available
    • Апрель 2012
      Источник: Actionable Governance Indicators Data Portal
      Загружен: Knoema
      Выбрать
      The Public Investment Management index captures different ex ante and ex post dimensions of various stages of the investment process. It is a composite index of the efficiency of the public investment management process for 71 countries. It records the quality and efficiency of the investment process across four consecutive stages: project appraisal, selection, implementation and evaluation. The index allows for benchmarking against the performance of different country groups and across regions, and provides a new dataset that could be utilized for cross-country analysis.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
    • Октябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2018
      Выбрать
      Description not available
    • Октябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2018
      Выбрать
      Description not available
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
    • Сентябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 сентября, 2018
      Выбрать
      Description not available
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      Description not available
    • Октябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2018
      Выбрать
      Description not available
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Description not available
  • Q
  • R
    • Июль 2019
      Источник: Regional Agriculture Trade Intelligence Network
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
    • Июль 2019
      Источник: ClinicalTrials.gov
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      Registered studies by ClinicalTrials.gov, As of July 17, 2019
    • Август 2012
      Источник: Multiple Sources
      Загружен: Carpe Facto
      Выбрать
      Spread of religions across the World, by country
    • Октябрь 2018
      Источник: International Renewable Energy Agency
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2019
      Выбрать
      World : Renewable Electricity Capacity and Generation Statistics
    • Июль 2018
      Источник: International Renewable Energy Agency
      Загружен: Knoema
      Дата обращения к источнику: 04 октября, 2018
      Выбрать
      The Renewable Energy Statistics 2018 shows data sets on renewable power-generation capacity for 2008-2017, renewable power generation for 2008-2016 and renewable energy balances for about 120 countries and areas for 2015 and 2016.  The renewable power capacity data shown in these tables represents the maximum net generating capacity of power plants and other installations that use renewable energy sources to produce electricity. For most countries and technologies, the data reflects the capacity installed and connected at the end of the calendar year. Pumped storage is included in hydropower but excluded from total renewable energy. The capacity data are presented in megawatts (MW), while the generation data are presented in gigawatt-hours (GWh). Data has been obtained from a variety of sources, including an IRENA questionnaire, official national statistics, industry association reports, consultant reports and news articles. The investment data is presented in millions of United States dollars (USD million) at current prices.
    • Июль 2019
      Источник: Reserve Bank of Australia
      Загружен: Knoema
      Дата обращения к источнику: 01 июля, 2019
      Выбрать
      Reserve Bank of Australia Assets and Liabilities
    • Сентябрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2018
      Выбрать
      Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
    • Март 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The Pesticides Use database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Greenhouse gas (GHG) emissions from rice cultivation consist of methane gas from the anaerobic decomposition of organic matter in paddy fields. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html) and the IPCC 2000 Good Practice Guidance and Uncertainty Management in National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/gp/english/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq. Implied emission factor for CH4 and activity data are also provided.
    • Февраль 2019
      Источник: Global Finance Magazine
      Загружен: Knoema
      Дата обращения к источнику: 02 апреля, 2019
      Выбрать
  • S
    • Март 2018
      Источник: U.S. Department of Commerce, Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 04 апреля, 2018
      Выбрать
      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • Август 2018
      Источник: U.S. Department of Commerce, Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2018
      Выбрать
      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • Июль 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 07 августа, 2018
      Выбрать
      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC). The figures are shown in four different measures:millions of United States dollarspercentages of the world totalannual percentage changes (growth rates)shares of each service category in total services.   Sources: UNCTAD, WTO and ITC secretariats’ calculations, based on:IMF, Balance of Payments StatisticsEurostat, online databaseOECD, OECD.StatUN DESA Statistics Division, UN Service Trade Statistical DatabaseOther international and national sourcesUNCTAD-WTO estimates.
    • Июль 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 августа, 2018
      Выбрать
      This table presents annual statistics on total international trade in services by individual country, geographical region and economic groups, expressed in millions of dollars. Percentages of the world total and the annual percentage changes are also indicated. International trade in total commercial services is included as a memo item. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC), and are published simultaneously by the three organizations.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to the employment in the agriculture sector as a share of total employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The contributing family workers are employed persons who work in an establishment usually operated by a related person living in the same household. Data provided refers to this category of workers as a percent of total employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The contributing family workers are employed persons who work in an establishment usually operated by a related person living in the same household. Data provided refers to this category of workers as a percent of total employment, exclusively for males.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The contributing family workers are employed persons who work in an establishment usually operated by a related person living in the same household. Data provided refers to this category of workers as a percent of total employment, exclusively for females.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to persons in paid employment and working more than 48 hours per week as a percent of the total number of employees.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to men in paid employment and working more than 48 hours per week as a percent of the total number of male employees.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to women in paid employment and working more than 48 hours per week as a percent of the total number of female employees.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Employers are workers who, on their own or jointly with other persons, control their enterprise and hire paid employees on a continuous basis. This indicator expresses the number of employers as a percent of total employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Employers are workers who, on their own or jointly with other persons, control their enterprise and hire paid employees on a continuous basis. This indicator expresses the number of male employers as a percent of the total male employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Employers are workers who, on their own or jointly with other persons, control their enterprise and hire paid employees on a continuous basis. This indicator expresses the number of female employers as a percent of the total female employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to the employment in the industry sector as a share of total employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The own account workers are workers who control their enterprise (on their own or with others) and who don't hire paid employees on a continuous basis but may have assistance from contributing family workers. Data provided expresses this category as a percent of total employment.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The own account workers are workers who control their enterprise (on their own or with others) and who don't hire paid employees on a continuous basis but may have assistance from contributing family workers. Data provided expresses this category as a percent of total employment, exclusively for males.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The own account workers are workers who control their enterprise (on their own or with others) and who don't hire paid employees on a continuous basis but may have assistance from contributing family workers. Data provided expresses this category as a percent of total employment, exclusively for females.
    • Сентябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 сентября, 2018
      Выбрать
      Description not available
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      Description not available
    • Сентябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2018
      Выбрать
      Description not available
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to the employment in the services sector as a share of total employment.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 июля, 2019
      Выбрать
      This indicator represents temporary employment as a percentage of employees. Temporary employment, whereby workers are engaged only for a specific period of time, includes fixed-term, project- or task-based contracts, as well as seasonal or casual work, including day labour. There are wide differences in definitions used across countries, which should be kept in mind when making cross-country comparisons.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. This indicator presents the number of unemployed with an advanced level of education (tertiary education) as a percent of the unemployed population.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      Data provided refers to the unemployed persons whose level of education is primary or lower-secondary as a percent of the labour force with the same education level.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. This indicator presents the number of unemployed with an intermediate level of education (upper-secondary or post-secondary non-tertiary education) as a percent of the unemployed population.
    • Сентябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 сентября, 2018
      Выбрать
      Description not available
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      Description not available
    • Сентябрь 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2018
      Выбрать
      Description not available
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июль 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 19 июля, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2019
      Выбрать
      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.
    • Сентябрь 2014
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      Description not available
    • Февраль 2018
      Источник: African Development Bank Group
      Загружен: Knoema
      Дата обращения к источнику: 24 октября, 2018
      Выбрать
      Data cited at: https://dataportal.opendataforafrica.org/bbkawjf
    • Август 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2018
      Выбрать
      This indicator is a proxy for the availability of health care. It represents the percentage of the population without access to health care due to the absence of the health workforce. The threshold for having a sufficient health workforce is 41.1 health workers per 10 000 population. A higher figure indicates worse availability. Note that this indicator reflects the supply side of availability, in this case the availability of human resources is at a level that guarantees at least basic, but universal, access. To estimate access to the services of skilled medical professionals (physicians, nursing and midwifery personnel), it uses as a proxy the relative difference between the density of these health workers in a given country (number per 10 000 population) and its median value in countries with a low level of vulnerability (defined according to the structure of employment and levels of poverty).To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. The same principle applies to the staff access deficit indicator, for which the 2014 median in low-vulnerability countries was 41.1. This is one of five ind