Ocurrió un error. Detalles Ocultar
Usted tiene páginas sin guardar. Restablecer Cancelar

Argelia

  • Presidente:Abdelaziz Bouteflika
  • Primer Ministro:Ahmed Ouyahia
  • Capital:Algiers
  • Idiomas:Arabic (official), French (lingua franca), Berber or Tamazight (official); dialects include Kabyle Berber (Taqbaylit), Shawiya Berber (Tacawit), Mzab Berber, Tuareg Berber (Tamahaq)
  • Gobierno
  • Instituto Nacional de Estadística
  • Población, personas:41.318.142 (2017)
  • Área, km2:2.381.741 (2017)
  • PIB per cápita, US$:4.123 (2017)
  • PIB, mil millones US$:170,4 (2017)
  • Índice de GINI:27,6 (2011)
  • Ranking de Facilidad para Hacer Negocios:166 (2017)
Todos los conjuntos de datos:  3 A B C D E F G H I Í J K L M N O P Q R S T U V W В К П С Ч
  • 3
    • octubre 2016
      Fuente: Philipps-University of Marburg, Empirical Institutional Economics
      Subido por: Knoema
      Acceso el: 07 diciembre, 2016
      Seleccionar base de datos
      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
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps32 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • diciembre 2018
      Fuente: U.S. Energy Information Administration
      Subido por: Knoema
      Acceso el: 11 diciembre, 2018
      Seleccionar base de datos
      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
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • julio 2016
      Fuente: Knoema
      Subido por: Knoema
      Seleccionar base de datos
      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
    • febrero 2013
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 25 febrero, 2013
      Seleccionar base de datos
      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.
    • mayo 2018
      Fuente: African Development Bank Group
      Subido por: Knoema
      Acceso el: 22 octubre, 2018
      Seleccionar base de datos
      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.
    • diciembre 2011
      Fuente: African Development Bank Group
      Subido por: Knoema
      Seleccionar base de datos
      Africa Millennium Development Goals
    • diciembre 2013
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - Access to services
    • diciembre 2013
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - Education
    • diciembre 2013
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - Exclusion Indicators
    • diciembre 2013
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 27 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - Governement expenditure
    • diciembre 2013
      Fuente: United Nations Children's Fund
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - HIV AIDS
    • diciembre 2013
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - International and regional Child Related Legal Instruments
    • diciembre 2013
      Fuente: United Nations Children's Fund
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - Maternal and child Health
    • diciembre 2013
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 26 febrero, 2014
      Seleccionar base de datos
      Africa Report on Child Wellbeing - Population
    • octubre 2012
      Fuente: African Child Policy Forum
      Subido por: Knoema
      Acceso el: 01 marzo, 2014
      Seleccionar base de datos
      African Child Observatory Dataset, 2013
    • agosto 2015
      Fuente: African Development Bank Group
      Subido por: Knoema
      Acceso el: 12 agosto, 2015
      Seleccionar base de datos
      African Development Bank, Bank Operations 2012
    • diciembre 2011
      Fuente: African Development Bank Group
      Subido por: Knoema
      Seleccionar base de datos
      African Development Bank, Food Security, December 2011
    • mayo 2017
      Fuente: African Economic Outlook
      Subido por: Knoema
      Acceso el: 06 octubre, 2017
      Seleccionar base de datos
    • enero 2018
      Fuente: Mo Ibrahim Foundation
      Subido por: Knoema
      Acceso el: 29 enero, 2018
      Seleccionar base de datos
      Ibrahim Index of African Governance (IIAG) - is comprehensive statistical tool assessing African countries' performance in provision of public goods and services. Consisting of 133 variables derived from 32 independent sources IIAG measures governance performance across 4 pillars: Safety and Rule of Law, Participation and Human Rights, Sustainable Economic Opportunity and Human Development. All-embracing nature of the index makes it fairly the best instrument for setting long-term political, social and economical goals concerning the African region.
    • abril 2016
      Fuente: African Development Bank Group
      Subido por: Knoema
      Acceso el: 16 mayo, 2016
      Seleccionar base de datos
      African Regional Energy Statistics, 2014
    • febrero 2013
      Fuente: Central Statistical Agency of Ethiopia
      Subido por: Knoema
      Acceso el: 03 febrero, 2013
      Seleccionar base de datos
    • octubre 2010
      Fuente: World Bank
      Subido por: Pallavi S
      Acceso el: 01 diciembre, 2014
      Seleccionar base de datos
      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.
    • octubre 2015
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 07 octubre, 2015
      Seleccionar base de datos
      Africa's Power Infrastructure: Investment, Integration, Efficiency by Anton Eberhard, Orvika Rosnes, Maria Shkaratan, Haakon Vennemo and Published by the World Bank.
    • mayo 2013
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 29 julio, 2015
      Seleccionar base de datos
    • noviembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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
    • noviembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 08 marzo, 2018
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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. 
    • mayo 2013
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 04 diciembre, 2018
      Seleccionar base de datos
    • mayo 2013
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 04 diciembre, 2018
      Seleccionar base de datos
    • octubre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 19 noviembre, 2018
      Seleccionar base de datos
      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.
    • julio 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 06 julio, 2018
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Generally, only annual data are published in this domain; monthly data are only provided for exchange rates. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • agosto 2016
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 02 septiembre, 2016
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • diciembre 2012
      Fuente: National Statistics Office, Algeria
      Subido por: Knoema
      Acceso el: 18 febrero, 2013
      Seleccionar base de datos
    • junio 2013
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 21 noviembre, 2014
      Seleccionar base de datos
      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).
    • enero 2018
      Fuente: Arab Monetary Fund
      Subido por: Knoema
      Acceso el: 23 marzo, 2018
      Seleccionar base de datos
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ag42 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • agosto 2016
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 02 septiembre, 2016
      Seleccionar base de datos
      Eurostat Dataset Id:med_ag32 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the�  legal status of a country or territory or on the delimitation of its frontiers. Â
    • diciembre 2017
      Fuente: Islamic Development Bank (IDB)
      Subido por: Knoema
      Acceso el: 29 marzo, 2018
      Seleccionar base de datos
    • agosto 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 19 noviembre, 2018
      Seleccionar base de datos
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • enero 2014
      Fuente: World Resources Institute
      Subido por: Knoema
      Acceso el: 07 diciembre, 2015
      Seleccionar base de datos
      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.
    • noviembre 2014
      Fuente: Actionable Governance Indicators Data Portal
      Subido por: Knoema
      Acceso el: 13 octubre, 2015
      Seleccionar base de datos
    • mayo 2018
      Fuente: Arab Monetary Fund
      Subido por: Knoema
      Acceso el: 17 julio, 2018
      Seleccionar base de datos
    • septiembre 2017
      Fuente: Arab Monetary Fund
      Subido por: Knoema
      Acceso el: 22 marzo, 2018
      Seleccionar base de datos
    • marzo 2011
      Fuente: World Bank
      Subido por: Pallavi S
      Acceso el: 18 marzo, 2015
      Seleccionar base de datos
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Arab World Education Performance Indicators Publication: https://datacatalog.worldbank.org/dataset/arab-world-education-performance-indicators License: http://creativecommons.org/licenses/by/4.0/   The Arab World Education Performance Indicators compiles data on education outcomes in 22 Arab States member countries in an aggregated and standardized manner. It allows users to compare the performance of each country along the following 6 important dimensions of education performance: access, equity, quality, efficiency, relevance, and Knowledge Economy readiness.
    • marzo 2018
      Fuente: Stockholm International Peace Research Institute
      Subido por: Knoema
      Acceso el: 14 noviembre, 2018
      Seleccionar base de datos
      'Information from the Stockholm International Peace Research Institute (SIPRI), https://www.sipri.org/databases/armstransfers'   The SIPRI Arms Transfers Database contains information on all transfers of major conventional weapons from 1950 to the most recent full calendar year. It is a unique resource for researchers, policy-makers and analysts, the media and civil society interested in monitoring and measuring the international flow of major conventional arms. For more information, see http://www.sipri.org/databases/armstransfers/sources-and-methods/
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      Los puestos de trabajo asalariados son aquellos puestos de trabajo en los que los titulares tienen contratos de trabajo por los que reciben una remuneración básica que no depende directamente de los ingresos de la unidad para la que trabajan. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU) y se presentan para una serie de categorías selectas al nivel de 2 dígitos de la clasificación. La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • octubre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 09 octubre, 2018
      Seleccionar base de datos
      Los puestos de trabajo asalariados son aquellos puestos de trabajo en los que los titulares tienen contratos de trabajo por los que reciben una remuneración básica que no depende directamente de los ingresos de la unidad para la que trabajan. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      Los puestos de trabajo asalariados son aquellos puestos de trabajo en los que los titulares tienen contratos de trabajo por los que reciben una remuneración básica que no depende directamente de los ingresos de la unidad para la que trabajan. Los datos están desagregados por ocupación, utilizando la versión más reciente disponible cada año de la Clasificación Internacional Uniforme de Ocupaciones (CIUO) y se presentan para una serie de categorías selectas al nivel de 2 dígitos de la clasificación. La información sobre las ocupaciones hace referencia al conjunto de tareas y obligaciones llevadas a cabo por o asignadas a una persona.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Los datos están desagregados por ocupación, utilizando la versión más reciente disponible cada año de la Clasificación Internacional Uniforme de Ocupaciones (CIUO). La información sobre las ocupaciones hace referencia al conjunto de tareas y obligaciones llevadas a cabo por o asignadas a una persona. Los puestos de trabajo asalariados son aquellos puestos de trabajo en los que los titulares tienen contratos de trabajo por los que reciben una remuneración básica que no depende directamente de los ingresos de la unidad para la que trabajan.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Los puestos de trabajo asalariados son aquellos puestos de trabajo en los que los titulares tienen contratos de trabajo por los que reciben una remuneración básica que no depende directamente de los ingresos de la unidad para la que trabajan. Los datos están desagregados por horas semanales efectivamente trabajadas, en términos del promedio de horas de trabajo por semana, y reflejando el total de horas trabajadas en todos los puestos de trabajo de las personas ocupadas y según todos los tipos de ordenamiento del tiempo de trabajo (por ejemplo a tiempo completo y a tiempo parcial). Las horas efectivamente trabajadas medidas incluyen (a) las «horas directas» o el tiempo dedicado al desempeño de las tareas y obligaciones de un trabajo; (b) las «horas conexas» o el tiempo dedicado a mantener, facilitar o intensificar las actividades productivas; (c) los «tiempos muertos» o el tiempo en el que una persona en un trabajo no puede trabajar debido a averías de la maquinaria o a la interrupción de los procesos de trabajo, a accidentes, a la falta de insumos o a la interrupción del suministro eléctrico o del acceso a Internet ; y (d) el «tiempo de descanso» o los períodos de corta duración dedicados al reposo, la higiene o el refrigerio, por ejemplo, para beber té o café o para orar, que suelen practicarse en virtud de la costumbre o de disposiciones contractuales, con arreglo a las normas establecidas y/o a las circunstancias nacionales. De las horas efectivamente trabajadas queda excluido el tiempo no trabajado, a saber: a) las vacaciones anuales, los días feriados, las licencias por enfermedad, las licencias parentales, las licencias de maternidad y de paternidad, y otras ausencias o licencias por motivos personales o familiares o por cumplimiento de deberes cívicos ; b) el tiempo de trayecto entre el trabajo y el hogar cuando en dicho trayecto no se realizan actividades productivas para el trabajo; en el caso de un puesto de trabajo salariado, dicho tiempo se excluye incluso si es remunerado por el empleador ; c) el tiempo dedicado a ciertas actividades educativas ; en el caso de un puesto de trabajo salariado, dicho tiempo se excluye incluso cuando las actividades son autorizadas, remuneradas o impartidas por el empleador ; d) las interrupciones prolongadas, distintas de los períodos de descanso breves, durante las cuales no se lleva a cabo actividad productiva alguna (como las pausas para la comida, o los períodos normales de descanso durante viajes largos); en el caso de un puesto de trabajo salariado, dichas interrupciones se excluyen incluso si son remuneradas por el empleador.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps115 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
  • B
    • enero 2018
      Fuente: Bahrain Open Data Portal
      Subido por: Knoema
      Acceso el: 09 enero, 2018
      Seleccionar base de datos
    • junio 2018
      Fuente: Arab Monetary Fund
      Subido por: Knoema
      Acceso el: 05 julio, 2018
      Seleccionar base de datos
      1. Balance of Loans Commitments. 2. Balance of Outstanding 3. Capital
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ecbp The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • noviembre 2018
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 12 diciembre, 2018
      Seleccionar base de datos
      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec6 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2015
      Fuente: Barro-Lee
      Subido por: Knoema
      Acceso el: 12 octubre, 2015
      Seleccionar base de datos
      Data cited at: Barro-Lee  
    • agosto 2015
      Fuente: Barro-Lee
      Subido por: Knoema
      Acceso el: 12 octubre, 2015
      Seleccionar base de datos
      Data cited at: Barro-Lee
    • enero 2018
      Fuente: Bertelsmann Stiftung
      Subido por: Knoema
      Acceso el: 19 abril, 2018
      Seleccionar base de datos
      The Bertelsmann Stiftung’s Transformation Index (BTI) analyzes and evaluates the quality of democracy, a market economy and political management in 128 developing and transition countries. It measures successes and setbacks on the path toward a democracy based on the rule of law and a market economy flanked by sociopolitical safeguards. Within this framework, the BTI publishes two rankings, the Status Index and the Management Index. Countries are further categorized on the basis of these status index and management rankings/scores. For instance, countries are categorized in to 5 groups – viz; 5 or failed, 4 or very limited, 3 or limited, 2 or advanced, and 1 or highly advanced—based on their status index score of 1 to 10. A country with a high score, 8.5 and above, is categorized as highly advanced. A country with a low score, below 4, is categorized as failed. A country is categorized as ‘very limited’ if it has a status index score between 4 and 5.5. A score between 5.5 and 7 means the country is categorized as ‘limited’ and a country is categorized as ‘advanced’ for a score between 7.1 and 8.5. On the basis of the democratic status ranking, countries are further categorized as 5 or ‘hard - line autocracies,’ 4 or ‘moderate autocracies,’ 3 or ‘highly defective democracies,’ 2 or ‘defective democracies,’ and 1 or ‘democracies in consolidation.’ A country with a democratic status ranking below 4 is categorized as a hard line autocracy. A democratic status score between 4 and 5 means that the country is part of the ‘moderate autocracy’ group. A country is grouped as a ‘highly defective democracy’ for a score between 5 and 6. A country is recognized as a ‘defective democracy’ for a score between 6 and 8, and a score of 8 and above earns a country the status of a ‘democracy in consolidation.’ Countries are also categorized in to 5 groups based on their market economy status ranking. The countries are categorized as ‘rudimentary’ or group 5, ‘poorly functioning’ or group 4, ‘functional flaws’ or group 3, ‘functioning’ or group 2, and ‘developed’ or group 1. A country is recognized as a member of the ‘developed’ group with a market economy status ranking/score of 8 and above. A country is grouped as ‘functioning’ if it has a score between 7 and 8. A market economy status ranking between 5 and 7 means the country is categorized to group 3 or the ‘functional flaws’ group. A score between 3 and 5 means that the country is ‘poorly functioning’ and a score below 3 means the country enjoys a ‘rudimentary’ status. Based on the management index ranking, countries are categorized as 5 or failed, 4 or weak, 3 or moderate, 2 or good, and1 or very good. A country is categorized as ‘very good’ for a score of 7 and above. It is categorized as ‘good’ for a score between 5.6 and 7, and as ‘moderate’ for a score between 4.4 and 5.5. A score between 3 and 4.3 means a country is categorized as ‘weak,’ and a score below 3 means the categorization of a country as ‘failed.’ Countries are ranked between 1 and 10 on the basis of the level of difficulty they face. The level of difficulty is further categorized as 5 or negligible, 4 or minor, 3 or moderate, 2 or substantial, and 1 or massive. A score of 8.5 and above means the categorization of the country’s level of difficulty as ‘massive, and a score below 2.5 means the categorization of the level of difficulty faced by the country as ‘negligible.’ The level of difficulty score of 2.5 to 4.4 means a country faces a ‘minor’ level of difficulty and a score between 4.5 and 6.4 means the level of difficulty faced by a country is ‘moderate.’ A country with a score of 6.5 to 8.4 faces a ‘substantial’ level of difficulty.
    • abril 2014
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 08 febrero, 2016
      Seleccionar base de datos
      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • abril 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 14 noviembre, 2018
      Seleccionar base de datos
      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • diciembre 2018
      Fuente: United Nations COMTRADE
      Subido por: Knoema
      Acceso el: 26 diciembre, 2018
      Seleccionar base de datos
      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).
    • diciembre 2018
      Fuente: Bank for International Settlements
      Subido por: Knoema
      Acceso el: 30 diciembre, 2018
      Seleccionar base de datos
    • abril 2017
      Fuente: Bloom Consulting
      Subido por: Knoema
      Acceso el: 24 mayo, 2017
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: BP
      Subido por: Knoema
      Acceso el: 18 junio, 2018
      Seleccionar base de datos
      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • enero 2016
      Fuente: Multiple Sources
      Subido por: Denis Chernyshev
      Seleccionar base de datos
      Sources: IMF (Regional Economic Reports, January 2015 and November 2015), http://www.imf.org/external/pubs/ft/reo/reorepts.aspx?ddlYear=-1&ddlRegions=9 The Wall Street Journal, http://graphics.wsj.com/lists/opec-meeting  
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Los buscadores desalentados comprenden a todas las personas en edad de trabajar que durante un período de referencia especificado se encontraban sin trabajo y corrientemente disponibles para trabajar, pero no buscaron un puesto de trabajo recientemente por razones específicas (por ejemplo porque pensaban que no había empleos disponibles, que no había ningún empleo para el que pudieran calificar, o ya habían perdido la esperanza de encontrar empleo). La población en edad de trabajar suele definirse como todas aquellas personas de 15 o más años de edad, pero esto puede variar según los países. Ciertos países, además de usar un límite de edad mínima, aplican también un límite de edad máxima.
    • septiembre 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 26 octubre, 2018
      Seleccionar base de datos
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
    • febrero 2012
      Fuente: Federal State Statistics Service, Russia
      Subido por: Knoema
      Seleccionar base de datos
      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • octubre 2017
      Fuente: World Resources Institute
      Subido por: Knoema
      Acceso el: 06 agosto, 2018
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Government of Canada
      Subido por: Knoema
      Acceso el: 12 diciembre, 2018
      Seleccionar base de datos
      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
    • diciembre 2018
      Fuente: Statistics Canada
      Subido por: Knoema
      Acceso el: 12 diciembre, 2018
      Seleccionar base de datos
      For the location "Puerto Rico" data is available from 1990.
    • diciembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 02 enero, 2019
      Seleccionar base de datos
      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • mayo 2018
      Fuente: China Association of Automobile Manufacturers
      Subido por: Shakthi Krishnan
      Acceso el: 13 septiembre, 2018
      Seleccionar base de datos
      World: Car Sales by Country 2017
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Un caso de lesión profesional es el caso de un trabajador que sufre una lesión profesional causada por un accidente de trabajo. Una lesión profesional fatal resulta de un accidente de trabajo, donde la muerte ocurra dentro de un año desde el día del accidente. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • diciembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Un caso de lesión profesional es el caso de un trabajador que sufre una lesión profesional causada por un accidente de trabajo. Una lesión profesional fatal resulta de un accidente de trabajo, donde la muerte ocurra dentro de un año desde el día del accidente.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Un caso de lesión profesional no fatal es el caso de un trabajador que sufre una lesión profesional causada por un accidente de trabajo que no resulta en la muerte de la persona. Una lesión profesional no fatal implica una cierta pérdida de tiempo de trabajo. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Un caso de lesión profesional no fatal es el caso de un trabajador que sufre una lesión profesional causada por un accidente de trabajo que no resulta en la muerte de la persona. Una lesión profesional no fatal implica una cierta pérdida de tiempo de trabajo.
    • octubre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 06 noviembre, 2018
      Seleccionar base de datos
      Un caso de lesión profesional no fatal es el caso de un trabajador que sufre una lesión profesional no fatal causada por un accidente de trabajo y que acarrea pérdida de tiempo de trabajo. La incapacidad laboral es la incapacidad del trabajador afectado por una lesión profesional para realizar las tareas habituales de su trabajo, correspondientes al empleo o puesto ocupado en el momento del accidente de trabajo. La incapacidad laboral puede ser permanente, cuando las personas afectadas no fueron nunca más capaces de efectuar las tareas habituales de su trabajo, correspondientes al empleo o puesto ocupado en el momento del accidente que causó la lesión profesional, o temporal, cuando las personas afectadas no pudieron trabajar el día después del día del accidente, pero fueron capaces más adelante de efectuar las tareas habituales de su trabajo, correspondientes al empleo o puesto ocupado en el momento del accidente que causó la lesión profesional, en un período de un año a partir del día del accidente.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Un caso de lesión profesional no fatal es el caso de un trabajador que sufre una lesión profesional no fatal causada por un accidente de trabajo y que acarrea pérdida de tiempo de trabajo. La incapacidad laboral es la incapacidad del trabajador afectado por una lesión profesional para realizar las tareas habituales de su trabajo, correspondientes al empleo o puesto ocupado en el momento del accidente de trabajo. La incapacidad laboral puede ser permanente, cuando las personas afectadas no fueron nunca más capaces de efectuar las tareas habituales de su trabajo, correspondientes al empleo o puesto ocupado en el momento del accidente que causó la lesión profesional, o temporal, cuando las personas afectadas no pudieron trabajar el día después del día del accidente, pero fueron capaces más adelante de efectuar las tareas habituales de su trabajo, correspondientes al empleo o puesto ocupado en el momento del accidente que causó la lesión profesional, en un período de un año a partir del día del accidente. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • noviembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 05 diciembre, 2018
      Seleccionar base de datos
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.
    • junio 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 29 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 030 -- Citizenship by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_030.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Citizenship If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country. Citizenship Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • enero 2016
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 22 septiembre, 2016
      Seleccionar base de datos
    • diciembre 2012
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 05 septiembre, 2016
      Seleccionar base de datos
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Descripción no disponible
    • enero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • noviembre 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 19 noviembre, 2018
      Seleccionar base de datos
      Report on Commodity Markets Outlook, 2018 October Financial Years-1970/71,1980/1981,2017/2018,2018/2019 have been considered as 1971,1981,2018,2019 respectively.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps33 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • marzo 2016
      Fuente: UNESCO Institute for Statistics
      Subido por: Knoema
      Acceso el: 22 marzo, 2016
      Seleccionar base de datos
    • diciembre 2015
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 11 diciembre, 2015
      Seleccionar base de datos
      Eurostat Dataset Id:med_en23 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • diciembre 2018
      Fuente: Bank for International Settlements
      Subido por: Knoema
      Acceso el: 24 diciembre, 2018
      Seleccionar base de datos
      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".  
    • diciembre 2018
      Fuente: Bank for International Settlements
      Subido por: Knoema
      Acceso el: 19 diciembre, 2018
      Seleccionar base de datos
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 10 enero, 2019
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: African Development Bank Group
      Subido por: Knoema
      Acceso el: 23 octubre, 2018
      Seleccionar base de datos
      Data cited at: https://high5.opendataforafrica.org/akmddkg
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Descripción no disponible
    • febrero 2018
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 12 abril, 2018
      Seleccionar base de datos
      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).
    • febrero 2018
      Fuente: Transparency International
      Subido por: Pallavi S
      Acceso el: 27 febrero, 2018
      Seleccionar base de datos
      Data cited at CORRUPTION PERCEPTIONS INDEX 2017 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/news/feature/corruption_perceptions_index_2017 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.
    • febrero 2018
      Fuente: Numbeo
      Subido por: Knoema
      Acceso el: 28 febrero, 2018
      Seleccionar base de datos
      Data cited at NUMBEO Numbeo is the world’s largest database of user contributed data about cities and countries worldwide. Numbeo provides current and timely information on world living conditions including cost of living, housing indicators, health care, traffic, crime and pollution. For more information please check http://www.numbeo.com/cost-of-living/rankings_by_country.jsp   About dataset: These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • noviembre 2012
      Fuente: Freedom House
      Subido por: Knoema
      Acceso el: 12 diciembre, 2012
      Seleccionar base de datos
      Countries at the Crossroads is an annual analysis of government performance in 70 strategically important countries worldwide that are at a critical crossroads in determining their political future. The in-depth comparative assessments and quantitative ratings – examining government accountability, civil liberties, rule of law, and anticorruption and transparency efforts – are intended to help international policymakers identify areas of progress, as well as to highlight areas of concern that could be addressed in diplomatic efforts and reform assistance.The Crossroads project has generated far-reaching interest since its inception in 2004. Increased attention to the relationship between competent governance and respect for civil and political rights means that scholars and policymakers require sophisticated tools to help place the performance of various governments in perspective. Crossroads helps ground this analysis by providing indispensable quantitative assessment that allows for comparison over time, as well as detailed narrative reports that provide real-world context.A new edition of Crossroads is published each year, with half the set of countries analyzed in odd years and the other half in even years. Crossroads reports are written and evaluated by some of the most prominent independent experts available for each country.
    • abril 2015
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 20 agosto, 2015
      Seleccionar base de datos
      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.
    • enero 2018
      Fuente: NYU Stern
      Subido por: Knoema
      Acceso el: 24 octubre, 2018
      Seleccionar base de datos
      This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium.   Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186  
    • enero 2019
      Fuente: Federal Financial Institutions Examination Council
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • marzo 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 29 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Country of birth according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Country of birth The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Non-autonomous states are summed under their mother country. Country of birth Sudan Sudan + Former Sudan
    • abril 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 21 mayo, 2018
      Seleccionar base de datos
      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
    • julio 2016
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 29 julio, 2016
      Seleccionar base de datos
      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
    • junio 2018
      Fuente: Reputation Institute
      Subido por: Knoema
      Acceso el: 03 julio, 2018
      Seleccionar base de datos
      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • diciembre 2015
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 18 abril, 2016
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ag2 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • abril 2018
      Fuente: European Commission
      Subido por: Knoema
      Acceso el: 10 mayo, 2018
      Seleccionar base de datos
      Monthly and Cumulative Crude Oil Imports in Intra EU, December 2017 Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: United Nations Office on Drugs and Crime
      Subido por: Shakthi Krishnan
      Acceso el: 18 septiembre, 2018
      Seleccionar base de datos
    • diciembre 2017
      Fuente: European Commission
      Subido por: Shakthi Krishnan
      Acceso el: 01 octubre, 2018
      Seleccionar base de datos
      The European Commission provides statistics on EU crude oil imports and crude oil supply costs.
    • mayo 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 28 junio, 2018
      Seleccionar base de datos
      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
    • junio 2017
      Fuente: Bank of Canada
      Subido por: Knoema
      Acceso el: 05 diciembre, 2018
      Seleccionar base de datos
      The Bank of Canada’s Credit Rating Assessment Group (CRAG) comprehensive database of sovereign defaults draws on previously published data sets compiled by various official and private sector sources. It combines elements of these, together with new information, to develop estimates of stocks of government obligations in default, including bonds and other marketable securities, bank loans, and official loans in default, valued in U.S. dollars, for the years 1960 to 2016 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Este indicador transmite, en cierta medida, una imagen de la disponibilidad de servicios de salud. Representa el porcentaje de la población sin acceso a servicios de salud debido a la falta de personal sanitario. El umbral para tener un personal sanitario suficiente es de 41,1 trabajadores de salud por cada 10'000 habitantes. Cuanto mayor es el valor de este indicador, peor es la disponibilidad. Es necesario resaltar que este indicador se concentra en la oferta de disponibilidad, es decir, que la disponibilidad de recursos humanos alcance un nivel tal que garantice un acceso al menos básico pero universal. Para estimar el acceso a los servicios de profesionales médicos cualificados (médicos, personal de enfermería y partería), se utiliza como proxy la diferencia relativa entre la densidad de estos trabajadores de la salud en un país determinado (su número por cada 10'000 habitantes) y su valor medio en los países con un bajo grado de vulnerabilidad (definida de acuerdo con la estructura del empleo y los niveles de pobreza).Para establecer si un país está gastando suficiente o tiene personal de salud suficiente, es necesario primero definir lo que constituye suficiente, es decir, establecer un umbral con el cual comparar el desempeño de cada país. Hay diferentes opiniones sobre lo que constituye suficiente en estos contextos, sobre todo visto que es probable que sea un objetivo móvil, fuertemente influenciado por los problemas de salud que prevalecen, la demografía, etc. El enfoque de la OIT para medir el déficit financiero es: (i) calcular la mediana de gasto en la salud (excluyendo POO) en los países de bajo de vulnerabilidad; (ii) comparar el gasto de cada país con este valor mediano. En el 2014, la mediana de los países de baja vulnerabilidad fue de US$ 239. Por ejemplo, un país con un gasto 50% menor que la mediana de los países de baja vulnerabilidad tiene un déficit financiero de 50%. El mismo principio se aplica al indicador de déficit de acceso del personal, para el cual la mediana de los países de baja vulnerabilidad fue de 41,1 en el 2014. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • noviembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 21 noviembre, 2018
      Seleccionar base de datos
      Este indicador transmite, en cierta medida, una imagen de los derechos a la seguridad social y la salud. Representa el porcentaje de la población sin cobertura legal de la salud. La población cubierta corresponde a los miembros afiliados al sistema de seguro médico o a una estimación de la población que tiene acceso gratuito a los servicios de salud proporcionados por el Estado. Cuanto mayor es el valor de este indicador, mayor es el porcentaje de la población sin cobertura legal de la salud. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Este indicador transmite, en cierta medida, una imagen de la calidad de la atención de salud. Representa el porcentaje de la población sin acceso a servicios de salud, debido al déficit de recursos financieros. El umbral para tener recursos financieros suficientes es de US $ 239 por persona por año. Cuanto mayor es el valor de este indicador, peores son los niveles de cobertura. Para estimar la calidad de la atención de la salud, este indicador utiliza como proxy la diferencia relativa entre el gasto per cápita de salud en un país determinado y su valor medio en los países con un bajo grado de vulnerabilidad.Para establecer si un país está gastando suficiente o tiene personal de salud suficiente, es necesario primero definir lo que constituye suficiente, es decir, establecer un umbral con el cual se comparará el desempeño de cada país. Las opiniones difieren sobre lo que constituye suficiente en estos contextos, sobre todo visto que es probable que sea un objetivo móvil, fuertemente influenciado por los problemas de salud que prevalecen, la demografía, etc. El enfoque de la OIT para medir el déficit financiero es: (i) calcular la mediana del gasto en la salud (excluyendo POO) en los países de baja vulnerabilidad; (ii) comparar el gasto de cada país con este valor mediano. En el 2014, la mediana de los países de baja vulnerabilidad fue de US$ 239. Por ejemplo, un país con un gasto 50% menor que la mediana de los países de baja vulnerabilidad tiene un déficit financiero de 50%. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • abril 2017
      Fuente: Islamic Development Bank (IDB)
      Subido por: Knoema
      Acceso el: 07 septiembre, 2017
      Seleccionar base de datos
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • mayo 2018
      Fuente: United Nations Statistics Division
      Subido por: Knoema
      Acceso el: 04 diciembre, 2018
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      La tasa de desocupación es el número de personas desocupadas expresado como porcentaje del número total de personas ocupadas y desocupadas (es decir, la población activa). Los datos para 1991-2016 son estimaciones mientras que los datos para 2017-2021 son proyecciones. La base de datos se actualizó en noviembre de 2017. Para obtener más información, consulte la descripción del indicador y el documento metodológico sobre las estimaciones y proyecciones de la OIT (en Inglés).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) no ocupadas durante el período de referencia, es decir, que no tienen un puesto de trabajo asalariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo asalariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo asalariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar un puesto de trabajo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc. Los datos están desagregados por categoría de persona desocupada, es decir que se presentan distinguiendo si (1) la persona ya estuvo ocupada alguna vez o si (2) la persona desocupada busca trabajo por primera vez.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) sin empleo durante el período de referencia, es decir, que no tienen un puesto de trabajo salariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo salariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo salariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar empleo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) sin empleo durante el período de referencia, es decir, que no tienen un puesto de trabajo salariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo salariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo salariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar empleo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc. Los datos están desagregados por duración de la desocupación.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) sin empleo durante el período de referencia, es decir, que no tienen un puesto de trabajo salariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo salariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo salariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar empleo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc. Los datos están desagregados por nivel de educación, haciendo referencia al nivel más alto de educación completado, según la Clasificación Internacional Normalizada de la Educación (CINE).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) sin empleo durante el período de referencia, es decir, que no tienen un puesto de trabajo salariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo salariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo salariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar empleo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc. La cobertura geográfica implica una desagregación entre áreas rurales y urbanas. La distinción entre estas áreas geográficas se basa en las respectivas definiciones nacionales.
    • abril 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 03 mayo, 2018
      Seleccionar base de datos
      Financing Global Health 2016 is the eighth edition of IHME’s annual series on global health spending and health financing. In addition to describing the trends in development assistance for health (DAH), this year’s report features an expanded discussion of domestic spending across low-, middle-, and high-income countries to describe the context in which DAH operates, identify health financing gaps, and support the pursuit of universal health coverage. Also new in Financing Global Health this year are detailed data for the funding of specific program areas within DAH for malaria and more thorough analysis of DAH for health system strengthening. This adds to the existing detailed tracking of DAH by program area for HIV/AIDS, maternal, newborn, and child health, and non-communicable diseases (NCDs). The coverage of domestic health spending builds on data and analyses presented in two papers published this year: “Global Burden of Disease Financing Global Health Collaborator Network. Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries,” and “Global Burden of Disease Financing Global Health Collaborator Network. Future and potential spending on health 2015–2040 by government, prepaid private, out-of-pocket, and donor financing for 184 countries.” Both analyses were published in The Lancet in April 2017. More information about these data and methods are found in the online methods annex.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Los días no trabajados por causa de huelga o cierre patronal representan el número total de días de trabajo no trabajados como consecuencia de huelgas y cierres patronales en curso durante el año. Se miden teniendo en cuenta el total de días de trabajo laborables que hubieran sido normalmente trabajados por cada trabajador implicado, de no haberse producido la interrupciónde la actividad. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Los días perdidos como consecuencia de una incapacidad laboral temporal abarcan el número de días naturales durante los que las personas temporalmente incapacitadas no pudieron trabajar, excluyendo el día del accidente, y hasta un máximo de un año. No se incluyen las ausencias temporales del trabajo de menos de un día con motivo de tratamiento médico. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • noviembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 27 noviembre, 2018
      Seleccionar base de datos
      Los días perdidos como consecuencia de una incapacidad laboral temporal abarcan el número de días naturales durante los que las personas temporalmente incapacitadas no pudieron trabajar, excluyendo el día del accidente, y hasta un máximo de un año. No se incluyen las ausencias temporales del trabajo de menos de un día con motivo de tratamiento médico.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      El tiempo perdido por lesión profesional se define como el número medio de días naturales perdidos por cada nuevo caso de lesiones profesionales no mortales que resulta en incapacidad temporal.
    • enero 2018
      Fuente: The Fletcher School,Tufts University
      Subido por: Knoema
      Acceso el: 30 agosto, 2018
      Seleccionar base de datos
      The DEI 2017 is a data-driven holistic evaluation of the progress of the digital economy across 60 countries, combining more than 100 different indicators across four key drivers: Supply Conditions, Demand Conditions, Institutional Environment, and Innovation and Change. The resulting framework captures both the state and rate of digital evolution and identifies implications for investment, innovation, and policy priorities. DEI 2017 also highlights the evolving nature of the risks being created by our continuing reliance on digital technology. Towards this end, the study covers a key question of “digital trust.“ The DEI 2017 incorporates a newly devised analysis of digital trust that takes into account the trustworthiness of the digital environment for each country; the quality of users’ experience; attitudes towards key institutions and organizations; and users’ behavior when they interact with the digital world. This subject is of great interest to all participants in the digital economy, given the concerns about security of essential information, cyber-attacks, and consumers’ apprehensions—about the digital systems and their reliability, the digital companies and their growing dominance, and about the leaders of digital companies. The DEI framework segments the 60 countries into Stand Outs, Stall Outs, Break Outs and Watch Outs. Three countries are notable as standouts even within the Stand Out segment: Singapore, New Zealand, and the UAE. Each has a unique policy-led digital strategy and a narrative that may be considered by other nations as worthy of emulation or adoption. The Nordic countries and Switzerland are at the top of the DEI 2017 rankings. China, once again, tops the list of countries in terms of the pace of change in its digital evolution, or momentum.
    • mayo 2007
      Fuente: International Telecommunication Union
      Subido por: Knoema
      Acceso el: 28 mayo, 2015
      Seleccionar base de datos
      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.
    • julio 2018
      Fuente: U.S. Department of Commerce, Bureau of Economic Analysis
      Subido por: Knoema
      Acceso el: 10 agosto, 2018
      Seleccionar base de datos
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • noviembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      GBD 2017 - Disability-Adjusted Life Years and Healthy Life Expectancy 1990-2017 The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2016 (quinquennial). Select tables published in The Lancet in September 2017 in "Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) sin empleo durante el período de referencia, es decir, que no tienen un puesto de trabajo salariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo salariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo salariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar empleo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc. Los datos están desagregados por duración de la desocupación.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Las personas desocupadas son todas aquellas que se hallan: a) sin empleo durante el período de referencia, es decir, que no tienen un puesto de trabajo salariado ni independiente; b) corrientemente disponibles para trabajar, es decir, disponibles para trabajar en un puesto de trabajo salariado o independiente durante el período de referencia; y c) en busca de un puesto de trabajo, es decir, que tomaron medidas concretas para buscar un puesto de trabajo salariado o independiente en un período reciente especificado. Para favorecer la comparabilidad a nivel internacional, el período de referencia para la búsqueda de un puesto de trabajo se suele definir como las cuatro semanas precedentes a la encuesta, pero esto varía según los países. Las medidas concretas tomadas para buscar empleo pueden incluir el registro en oficinas de colocación públicas o privadas, solicitudes directas a empleadores, diligencias en lugares de trabajo, explotaciones agrícolas, fábricas, mercados u otros lugares de concurrencia, avisos en los periódicos o respuestas a las ofertas que aparecen en ellos, solicitud de ayuda a amigos y familiares, búsqueda de terrenos, edificios, maquinaria o equipos para establecer su propia empresa, gestiones para conseguir recursos financieros, solicitudes para obtener permisos y licencias, etc. Los datos están desagregados por nivel de educación, haciendo referencia al nivel más alto de educación completado, según la Clasificación Internacional Normalizada de la Educación (CINE).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadas. Los datos están desagregados por nivel de educación, haciendo referencia al nivel más alto de educación completado, según la Clasificación Internacional Normalizada de la Educación (CINE).
    • junio 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por actividad económica, que hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja. Esta serie es parte de las estimaciones de la OIT y está armonizada teniendo en cuenta las diferencias de los datos nacionales y del alcance de la cobertura, las metodologías de recolección y tabulación, y otros factores específicos de cada país. Los datos para 1991-2016 son estimaciones mientras que los datos para 2017-2021 son proyecciones. La base de datos se actualizó en noviembre de 2017. Para obtener más información, consulte la descripción del indicador y el documento metodológico sobre las estimaciones y proyecciones de la OIT (en Inglés).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por actividad económica, que hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por nivel de educación, haciendo referencia al nivel más alto de educación completado, según la Clasificación Internacional Normalizada de la Educación (CINE).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por horas semanales efectivamente trabajadas, en términos del promedio de horas de trabajo por semana, y reflejando el total de horas trabajadas en todos los puestos de trabajo de las personas ocupadas y según todos los tipos de ordenamiento del tiempo de trabajo (por ejemplo a tiempo completo y a tiempo parcial). Las horas efectivamente trabajadas medidas incluyen (a) las «horas directas» o el tiempo dedicado al desempeño de las tareas y obligaciones de un trabajo; (b) las «horas conexas» o el tiempo dedicado a mantener, facilitar o intensificar las actividades productivas; (c) los «tiempos muertos» o el tiempo en el que una persona en un trabajo no puede trabajar debido a averías de la maquinaria o a la interrupción de los procesos de trabajo, a accidentes, a la falta de insumos o a la interrupción del suministro eléctrico o del acceso a Internet ; y (d) el «tiempo de descanso» o los períodos de corta duración dedicados al reposo, la higiene o el refrigerio, por ejemplo, para beber té o café o para orar, que suelen practicarse en virtud de la costumbre o de disposiciones contractuales, con arreglo a las normas establecidas y/o a las circunstancias nacionales. De las horas efectivamente trabajadas queda excluido el tiempo no trabajado, a saber: a) las vacaciones anuales, los días feriados, las licencias por enfermedad, las licencias parentales, las licencias de maternidad y de paternidad, y otras ausencias o licencias por motivos personales o familiares o por cumplimiento de deberes cívicos ; b) el tiempo de trayecto entre el trabajo y el hogar cuando en dicho trayecto no se realizan actividades productivas para el trabajo; en el caso de un puesto de trabajo salariado, dicho tiempo se excluye incluso si es remunerado por el empleador ; c) el tiempo dedicado a ciertas actividades educativas ; en el caso de un puesto de trabajo salariado, dicho tiempo se excluye incluso cuando las actividades son autorizadas, remuneradas o impartidas por el empleador ; d) las interrupciones prolongadas, distintas de los períodos de descanso breves, durante las cuales no se lleva a cabo actividad productiva alguna (como las pausas para la comida, o los períodos normales de descanso durante viajes largos); en el caso de un puesto de trabajo salariado, dichas interrupciones se excluyen incluso si son remuneradas por el empleador.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por ocupación, utilizando la versión más reciente de la Clasificación Internacional Uniforme de Ocupaciones (CIUO). La información sobre las ocupaciones hace referencia al conjunto de tareas y obligaciones llevadas a cabo por o asignadas a una persona.
    • junio 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por ocupación, utilizando la versión más reciente de la Clasificación Internacional Uniforme de Ocupaciones (CIUO). La información sobre las ocupaciones hace referencia al conjunto de tareas y obligaciones llevadas a cabo por o asignadas a una persona. Esta serie es parte de las estimaciones de la OIT y está armonizada teniendo en cuenta las diferencias de los datos nacionales y del alcance de la cobertura, las metodologías de recolección y tabulación, y otros factores específicos de cada país. Los datos para 1991-2016 son estimaciones mientras que los datos para 2017-2021 son proyecciones. La base de datos se actualizó en noviembre de 2017. Para obtener más información, consulte la descripción del indicador y el documento metodológico sobre las estimaciones y proyecciones de la OIT (en Inglés).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por ocupación, utilizando la versión más reciente de la Clasificación Internacional Uniforme de Ocupaciones (CIUO). La información sobre las ocupaciones hace referencia al conjunto de tareas y obligaciones llevadas a cabo por o asignadas a una persona.
    • junio 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Las personas ocupadas son todas aquellas personas en edad de trabajar que durante un breve período de referencia estuvieron en cualquiera de las siguientes categorías: a) empleo asalariado (ya sea trabajando o con empleo pero sin trabajar); o b) empleo independiente (ya sea trabajando o con una empresa pero sin trabajar). Los datos están desagregados por ocupación, utilizando la versión más reciente de la Clasificación Internacional Uniforme de Ocupaciones (CIUO). La información sobre las ocupaciones hace referencia al conjunto de tareas y obligaciones llevadas a cabo por o asignadas a una persona. Esta serie es parte de las estimaciones de la OIT y está armonizada teniendo en cuenta las diferencias de los datos nacionales y del alcance de la cobertura, las metodologías de recolección y tabulación, y otros factores específicos de cada país. Los datos para 1991-2016 son estimaciones mientras que los datos para 2017-2021 son proyecciones. La base de datos se actualizó en noviembre de 2017. Para obtener más información, consulte la descripción del indicador y el documento metodológico sobre las estimaciones y proyecciones de la OIT (en Inglés).
    • abril 2011
      Fuente: African Development Bank Group
      Subido por: Knoema
      Acceso el: 23 julio, 2018
      Seleccionar base de datos
    • diciembre 2008
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Peter Speyer
      Seleccionar base de datos
      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
    • diciembre 2015
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 12 diciembre, 2015
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps412 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • julio 2012
      Fuente: National Statistics Office, Algeria
      Subido por: Knoema
      Acceso el: 17 febrero, 2013
      Seleccionar base de datos
    • septiembre 2018
      Fuente: Fraser Institute
      Subido por: Knoema
      Acceso el: 02 noviembre, 2018
      Seleccionar base de datos
      Data cited at: "Economic Freedom of the World: 2018 Annual Report"@Fraser Institute   The economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
    • diciembre 2012
      Fuente: Liberia Institute of Statistics & Geo-Information Services
      Subido por: Knoema
      Acceso el: 21 mayo, 2013
      Seleccionar base de datos
    • enero 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      La mediana de edad marca el punto donde la mitad del grupo es mayor que esa edad y la mitad es más joven. La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadass. Esta serie es parte de las estimaciones de la OIT y está armonizada teniendo en cuenta las diferencias de los datos nacionales y del alcance de la cobertura, las metodologías de recolección y tabulación, y otros factores específicos de cada país. Los datos para 1990-2015 son estimaciones mientras que los datos para 2016-2030 son proyecciones. La base de datos se actualizó en julio de 2017. Para obtener más información, consulte la nota metodológica general (en Inglés) y el documento metodológico sobre las estimaciones y proyecciones de la fuerza de trabajo (en Inglés).
    • diciembre 2015
      Fuente: United Nations Development Programme
      Subido por: Misha Gusev
      Seleccionar base de datos
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • junio 2017
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 23 junio, 2017
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Institute of Statistics and Economic Studies, Burundi
      Subido por: Knoema
      Acceso el: 17 abril, 2018
      Seleccionar base de datos
    • septiembre 2017
      Fuente: Arab Union of Electricity
      Subido por: Knoema
      Acceso el: 06 julio, 2018
      Seleccionar base de datos
    • diciembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 13 enero, 2017
      Seleccionar base de datos
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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).
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 febrero, 2018
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
      Seleccionar base de datos
      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.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
      Seleccionar base de datos
      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).
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps411 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • agosto 2016
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 02 septiembre, 2016
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • enero 2019
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 12 enero, 2019
      Seleccionar base de datos
      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:
    • noviembre 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 29 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 018 -- Employed persons by occupational group (Classification of Occupations 2010, levels 1 to 2), background country, sex and year 2010-2016 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_018.px License: http://creativecommons.org/licenses/by/4.0/ Hint: Occupational data can be filtered to different hierarchy levels of the classification (Level 1, Level 2) by entering in the Search field, e.g. Level 2. The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14. This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students. Statistics cannot be compiled reliably on employment by under-age people on the basis of register data. Background countries are specified in the table if the number of employed persons in the background country exceeds 99. © Tilastokeskus - Statistics Finland
    • agosto 2016
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 02 septiembre, 2016
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps413 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • diciembre 2014
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 18 abril, 2015
      Seleccionar base de datos
      Eurostat Dataset Id:med_eg_all The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • septiembre 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 30 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 005 -- Energy import and export by country, % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_005_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary
    • septiembre 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 30 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 006 -- Energy import and export by country, proportion % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_006_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary
    • septiembre 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 29 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Energy import and export by country http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_004_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description Consepts and definitions *Year preliminary
    • mayo 2018
      Fuente: Federal Institute for Geosciences and Natural Resources
      Subido por: Knoema
      Acceso el: 16 mayo, 2018
      Seleccionar base de datos
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • enero 2018
      Fuente: Environmental Performance Index
      Subido por: Knoema
      Acceso el: 02 febrero, 2018
      Seleccionar base de datos
      The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • julio 2018
      Fuente: International Renewable Energy Agency
      Subido por: Knoema
      Acceso el: 04 octubre, 2018
      Seleccionar base de datos
      La estadística de energía renovable 2018 muestra conjuntos de datos sobre la capacidad de generación de energía renovable para 2008-2017, la generación de energía renovable para 2008-2016 y los saldos de energía renovable para aproximadamente 120 países y áreas para 2015 y 2016. Los datos de capacidad de energía renovable que se muestran en estas tablas representan la capacidad de generación neta máxima de las plantas de energía y otras instalaciones que utilizan fuentes de energía renovables para producir electricidad. Para la mayoría de los países y tecnologías, los datos reflejan la capacidad instalada y conectada al final del año calendario. El almacenamiento por bombeo se incluye en la energía hidroeléctrica, pero se excluye de la energía renovable total. Los datos de capacidad se presentan en megavatios (MW), mientras que los datos de generación se presentan en gigavatios-hora (GWh). Se han obtenido datos de diversas fuentes, incluido un cuestionario IRENA, estadísticas nacionales oficiales, informes de asociaciones industriales, informes de consultores y artículos de noticias. Los datos de inversión se presentan en millones de dólares estadounidenses (millones de USD) a precios corrientes.
    • diciembre 2018
      Fuente: Organization of Petroleum Exporting Countries
      Subido por: Knoema
      Acceso el: 13 diciembre, 2018
      Seleccionar base de datos
      Balance=OPEC crude oil production-Difference (a-b) Global oil demand, supply, oil market balance and required amounts of OPEC crude.   World oil Demand: World oil demand growth in 2018 was revised downward by around 20 tb/d, primarily as a result of the slower-than-expected performance by non-OECD Latin America and the Middle East during 2Q18. Hence, world oil demand growth is now pegged at 1.62 mb/d, with total global consumption at 98.82 mb/d. World Oil Supply Non-OPEC oil supply in 2018 was revised down by 0.06 mb/d from the previous MOMR to average 59.56 mb/d, mainly due to a downward adjustment in the supply forecast for Brazil, the UK, India, Malaysia and China on lower-than-expected output in 2H18, which was partially offset by an upward revision in US supply. Y-o-y growth was also revised down by 0.06 mb/d to now stand at 2.02 mb/d. The US, Brazil, Canada, Kazakhstan and the UK are expected to be the main drivers for y-o-y growth, while Mexico and Norway will show the largest declines.   World Economy Global economic growth forecasts remain robust for 2018 and 2019, at 3.8% and 3.6%, respectively. While the growth levels are unchanged from last month, a number of offsetting developments, particularly rising challenges in some emerging and developing economies, are skewing the current global economic growth risk forecast to the downside. Rising trade tensions, and the consequences of further potential monetary tightening by G4 central banks, in combination with rising global debt levels, are additional concerns
    • septiembre 2015
      Fuente: Multiple Sources
      Subido por: Knoema
      Acceso el: 10 septiembre, 2015
      Seleccionar base de datos
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec9 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • octubre 2015
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 22 octubre, 2015
      Seleccionar base de datos
      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.
    • julio 2012
      Fuente: Knoema
      Subido por: Knoema
      Seleccionar base de datos
      Source : United States Department of Agriculture; International Monetary Fund; UN Department of Economic and Social Affairs; Food and Agriculture Organization, The World Bank
    • octubre 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 30 octubre, 2017
      Seleccionar base de datos
      Percent of household final consumption expenditures spent on food, alcoholic beverages, and tobacco that were consumed at home, 2009-2016. The data are computed by Birgit Meade (202-694-5159), ERS/USDA, EUROMONITOR data, June 2015.
    • marzo 2017
      Fuente: Statistics Bureau of Japan
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Export by Area and Country F.Y.
    • marzo 2017
      Fuente: Statistics Bureau of Japan
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Export by Area and Country Month
    • enero 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 30 mayo, 2018
      Seleccionar base de datos
      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)
    • noviembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 26 noviembre, 2018
      Seleccionar base de datos
      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
    • septiembre 2013
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 10 octubre, 2013
      Seleccionar base de datos
      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).
    • mayo 2017
      Fuente: Islamic Development Bank (IDB)
      Subido por: Knoema
      Acceso el: 15 junio, 2017
      Seleccionar base de datos
  • F
    • mayo 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 31 mayo, 2018
      Seleccionar base de datos
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • noviembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 17 diciembre, 2018
      Seleccionar base de datos
      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.   Note: For some countries quarterly data is mentioned as monthly data because of quarter (Time period of quarter) differs across countries. Please go to the link: "http://fenixservices.fao.org/faostat/static/documents/CP/CPI_e.pdf" for detail about countries' National index reference period, definition, data details.    
    • septiembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 31 octubre, 2018
      Seleccionar base de datos
      1.Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. 2.The choice of the indicators has been informed by expert judgment and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available. Note: Data represent values for time periods (1999-2001,2000-02,2005-07) and is shown as data for the last year of time period 2001, 2002,2007
    • junio 2012
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 18 julio, 2012
      Seleccionar base de datos
      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).
    • octubre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 20 noviembre, 2018
      Seleccionar base de datos
      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.
    • noviembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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
    • abril 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 julio, 2018
      Seleccionar base de datos
      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.
    • agosto 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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.
    • octubre 2011
      Fuente: Food and Agricultural Policy Research Institute
      Subido por: Knoema
      Acceso el: 25 diciembre, 2012
      Seleccionar base de datos
      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • febrero 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 26 junio, 2018
      Seleccionar base de datos
      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
    • junio 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 06 julio, 2018
      Seleccionar base de datos
    • junio 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 02 julio, 2018
      Seleccionar base de datos
    • junio 2010
      Fuente: International Federation of Association Football
      Subido por: Knoema
      Acceso el: 20 junio, 2014
      Seleccionar base de datos
      FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 01 agosto, 2018
      Seleccionar base de datos
      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.
    • octubre 2018
      Fuente: International Federation of Association Football
      Subido por: Knoema
      Acceso el: 17 noviembre, 2018
      Seleccionar base de datos
      Monthly updates of FIFA World Football Men's Ranking 
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec2 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 09 enero, 2019
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 09 enero, 2019
      Seleccionar base de datos
      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.
    • septiembre 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 10 diciembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.
    • diciembre 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 17 diciembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Population by main type of activity, nationality, occupational status, sex, age and year 2000-2017* http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14. This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students. Statistics cannot be compiled reliably on employment by under-age people on the basis of register data. Citizenships are specified in the table if the number of people in the citizenship group exceeds 99. © Tilastokeskus - Statistics Finland
    • marzo 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 29 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 008 -- Nationality according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_008.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish)Nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.Nationality Czech Republic Czech Republic + Former CzechoslovakiaSudan Sudan + Former Sudan
    • marzo 2018
      Fuente: Statistics Finland
      Subido por: Knoema
      Acceso el: 29 noviembre, 2018
      Seleccionar base de datos
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 009 -- Finnish citizens with dual nationality by age and second nationality in 2000 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_009.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Second nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. Second nationality Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • enero 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 16 febrero, 2018
      Seleccionar base de datos
      The dataset Fisheries International collaboration in technology development (bilateral) provides the number of co-inventions (simple patent families) developed jointly by at least two inventors. This indicator is disaggregated by: Country - country of residence of the inventor(s), integral counted; in cases when inventors from more than two countries collaborate, this is translated into distinct bilateral relationships between country pairs. For example, if inventors from 3 countries collaborate (e.g. USA, DEU, JPN) then a unit count is assigned to 6 country pairs (USA-DEU, USA-JPN, DEU-JPN, DEU-USA, JPN-USA, JPN-DEU); in this case a country generally coordinate the project and the others are partners. Partner – country of residence of the inventor(s) who collaborate to the patent. Technology domain – the three main areas of innovation in fisheries and aquaculture, related to technology development. In detail: 1. Harvesting technology such as more effective ways to find or harvest fish and which are typically associated with improvements in catch per unit of effort (e.g. type/size of vessels and their methods of propulsion, search technologies, method of catching or harvesting fish and bringing them on board); 2.Aquaculture technology such as methods to more effectively grow fish in captivity (innovation in feeds, improving the health of aquaculture animals, etc.); 3. New products and markets such as the development of new fish products and markets (food technologies/processing such as the development of surimi as a crabmeat substitute) and the improvement of market access (secure or enlarge markets for fish products) that provides important incentives for green growth (e.g. eco-certification with fishers adopting by-catch saving technologies or modifying fishing practices and/or territorial user rights in fisheries).
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • febrero 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 12 marzo, 2018
      Seleccionar base de datos
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • febrero 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      El flujo de inmigrantes se refiere al número de personas que cambiaron su país de residencia habitual durante el período de referencia. El país de residencia habitual de una persona es el país en que la persona tiene un lugar donde normalmente pasa su tiempo diario de reposo. Los viajes temporarios al extranjero por placer, vacaciones, negocios, tratamiento médico o peregrinación religiosa no implican ningún cambio en el país de residencia habitual. Los datos están desagregados por sexo y país de origen. El país de origen de una persona es el país del cual la persona proviene, es decir, el país de su ciudadanía (o, en el caso de los apátridas, el país de residencia habitual).
    • febrero 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      El flujo de salida de nacionales para el empleo hace referencia al número de ciudadanos legales de un país dado que cambiaron su país de residencia habitual por otro país en el período de referencia por motivos relacionados con el empleo. Los datos están desagregados por sexo y país de destino. El país de destino corresponde al país que representa el destino del flujo migratorio.
    • septiembre 2017
      Fuente: United Nations World Food Programme
      Subido por: Knoema
      Acceso el: 21 diciembre, 2017
      Seleccionar base de datos
      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.
    • septiembre 2017
      Fuente: United Nations World Food Programme
      Subido por: Knoema
      Acceso el: 21 diciembre, 2017
      Seleccionar base de datos
      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.
    • septiembre 2017
      Fuente: United Nations World Food Programme
      Subido por: Knoema
      Acceso el: 21 diciembre, 2017
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • enero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
    • septiembre 2017
      Fuente: Knoema
      Subido por: Knoema
      Acceso el: 11 septiembre, 2017
      Seleccionar base de datos
      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.
    • enero 2017
      Fuente: Knoema
      Subido por: Knoema
      Acceso el: 03 enero, 2017
      Seleccionar base de datos
      Version - 2  Note: Added new location
    • febrero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • enero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • septiembre 2014
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 04 octubre, 2014
      Seleccionar base de datos
      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.
    • agosto 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 31 octubre, 2018
      Seleccionar base de datos
    • agosto 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 13 agosto, 2018
      Seleccionar base de datos
      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
    • abril 2017
      Fuente: Statistics Centre of Abu Dhabi
      Subido por: Knoema
      Acceso el: 28 julio, 2017
      Seleccionar base de datos
    • junio 2014
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 11 diciembre, 2015
      Seleccionar base de datos
      Eurostat Dataset Id:educ_enrl8 The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes by pupils and students, personnel in education and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the UOE data collection:the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered:Context - School-aged population, overall participation rates in educationDistribution of pupils/students by levelParticipation/enrolment in education (ISCED 0-4)Tertiary education participationTertiary education graduatesTeaching staff (ISCED 1-3)Pupil/students-teacher ratio and average class size (ISCED 1-3)Language learning (ISCED 1-3)Regional enrolmentsExpenditure on education in current pricesExpenditure on education in constant pricesExpenditure on education as % of GDP or public expenditureExpenditure on public and private educational institutionsFinancial aid to studentsFunding of education Other tables, used to measure progress towards the Lisbon objectives in education and training, are gathered in the Thematic indicators tables. They contain the following indicators: - Teachers and trainers - Mathematics, science and technology enrolments and graduates - Investments in education and training - Participation rates in education by age and sex - Foreign language learning - Student mobility
    • diciembre 2018
      Fuente: Ministry of Finance, R.O.C. (Taiwan)
      Subido por: Knoema
      Acceso el: 21 diciembre, 2018
      Seleccionar base de datos
      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.  
    • enero 2019
      Fuente: U.S. Census Bureau
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
    • enero 2019
      Fuente: Kuwait Central Statistical Bureau
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
    • enero 2019
      Fuente: National Institute of Statistics, Tunisia
      Subido por: Knoema
      Acceso el: 14 enero, 2019
      Seleccionar base de datos
      Foreign Trade Statistics for Tunisia
    • noviembre 2018
      Fuente: Federal Competitiveness and Statistics Authority, United Arab Emirates
      Subido por: Knoema
      Acceso el: 13 noviembre, 2018
      Seleccionar base de datos
      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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/
    • mayo 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 25 mayo, 2018
      Seleccionar base de datos
    • diciembre 2016
      Fuente: Carbon Dioxide Information Analysis Center
      Subido por: Knoema
      Acceso el: 17 mayo, 2017
      Seleccionar base de datos
      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)
    • julio 2015
      Fuente: African Development Bank Group
      Subido por: Knoema
      Acceso el: 06 agosto, 2015
      Seleccionar base de datos
      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)
    • mayo 2018
      Fuente: Fund for Peace
      Subido por: Knoema
      Acceso el: 15 mayo, 2018
      Seleccionar base de datos
      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.
    • enero 2018
      Fuente: Freedom House
      Subido por: Knoema
      Acceso el: 30 enero, 2018
      Seleccionar base de datos
      Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for many countries. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • abril 2017
      Fuente: Freedom House
      Subido por: Knoema
      Acceso el: 09 octubre, 2018
      Seleccionar base de datos
      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.
    • diciembre 2015
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 11 diciembre, 2015
      Seleccionar base de datos
      Eurostat Dataset Id:med_en43 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
    • enero 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadass. Esta serie es parte de las estimaciones de la OIT y está armonizada teniendo en cuenta las diferencias de los datos nacionales y del alcance de la cobertura, las metodologías de recolección y tabulación, y otros factores específicos de cada país. Los datos para 1990-2015 son estimaciones mientras que los datos para 2016-2030 son proyecciones. La base de datos se actualizó en julio de 2017. Para obtener más información, consulte la nota metodológica general (en Inglés) y el documento metodológico sobre las estimaciones y proyecciones de la fuerza de trabajo (en Inglés).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadas.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadas. Los datos están desagregados por nivel de educación, haciendo referencia al nivel más alto de educación completado, según la Clasificación Internacional Normalizada de la Educación (CINE).
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadas. La cobertura geográfica implica una desagregación entre áreas rurales y urbanas. La distinción entre estas áreas geográficas se basa en las respectivas definiciones nacionales.
  • G
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      El concepto de ganancias, aplicado a las estadísticas de salarios, se refiere a la remuneración bruta en efectivo y en especie pagada a los asalariados, en general a intervalos regulares, por el tiempo trabajado o el trabajo realizado, junto con la remuneración por períodos de tiempo no trabajados, tales como vacaciones anuales y otros tipos de vacaciones pagas o días feriados.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      En la medida de lo posible, los datos sobre las ganancias de los asalariados se presentan en términos nominales y se basan en la media de las ganancias mensuales de todos los asalariados. Las ganancias de los asalariados se refieren a la remuneración bruta en efectivo y en especie pagada a los asalariados, en general a intervalos regulares, por el tiempo trabajado o el trabajo realizado, junto con la remuneración por períodos de tiempo no trabajados, tales como vacaciones anuales y otros tipos de vacaciones pagas o días feriados. Las ganancias excluyen las contribuciones que el empleador paga respecto de sus asalariados a los regímenes de seguridad social y de pensiones, así como las prestaciones recibidas de esos regímenes por los trabajadores. También excluyen las indemnizaciones por despido y por terminación del contrato de trabajo. Los datos sobre las ganancias se refieren a la remuneración bruta, o sea al total pagado antes de todo descuento realizado por el empleador. Los datos están desagregados por actividad económica, utilizando la versión más reciente disponible cada año de la Clasificación Industrial Internacional Uniforme de todas las actividades económicas (CIIU). La actividad económica hace referencia a la actividad principal del establecimiento en el que la persona trabajó durante el período de referencia y no depende de las tareas o funciones específicas de su puesto de trabajo, sino de las características de la unidad económica en que trabaja.
    • noviembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 21 noviembre, 2018
      Seleccionar base de datos
      El crecimiento de las ganancias reales mensuales promedio de los asalariados se refiere a la tasa interanual de crecimiento (o disminución) porcentual de los salarios medios reales. Las ganancias de los asalariados se refieren a la remuneración bruta en efectivo y en especie pagada a los asalariados deflactada por el índice de precios al consumidor del país, en general a intervalos regulares, por el tiempo trabajado o el trabajo realizado, junto con la remuneración por períodos de tiempo no trabajados, tales como vacaciones anuales y otros tipos de vacaciones pagas o días feriados. Las ganancias excluyen las contribuciones que el empleador paga respecto de sus asalariados a los regímenes de seguridad social y de pensiones, así como las prestaciones recibidas de esos regímenes por los trabajadores. También excluyen las indemnizaciones por despido y por terminación del contrato de trabajo. Los datos sobre las ganancias se refieren a la remuneración bruta, o sea, al total pagado antes de todo descuento realizado por el empleador.
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Este indicador transmite, en cierta medida, una imagen de la protección financiera en caso de enfermedad. Representa el monto de dinero pagado directamente a los proveedores de salud a cambio de bienes y servicios de salud como porcentaje del total del gasto en salud. Cuanto mayor es el valor de este indicador, mayor es el porcentaje de pagos directos. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • diciembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • octubre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 16 octubre, 2018
      Seleccionar base de datos
      Descripción no disponible
    • octubre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 16 octubre, 2018
      Seleccionar base de datos
      Descripción no disponible
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Descripción no disponible
    • septiembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 12 septiembre, 2018
      Seleccionar base de datos
      Descripción no disponible
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Descripción no disponible
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Descripción no disponible
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
      Seleccionar base de datos
      Descripción no disponible
    • septiembre 2017
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 14 noviembre, 2017
      Seleccionar base de datos
      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."
    • septiembre 2017
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 08 noviembre, 2017
      Seleccionar base de datos
      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
    • septiembre 2017
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 27 octubre, 2017
      Seleccionar base de datos
      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.
    • noviembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 23 noviembre, 2018
      Seleccionar base de datos
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level. This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.
    • septiembre 2018
      Fuente: Global Database of Events, Language, and Tone
      Subido por: Knoema
      Acceso el: 20 septiembre, 2018
      Seleccionar base de datos
      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."
    • enero 2019
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 12 enero, 2019
      Seleccionar base de datos
      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:
    • enero 2017
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
      Seleccionar base de datos
      This dataset includes gender inequality and development indices.
    • octubre 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 30 octubre, 2018
      Seleccionar base de datos
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • febrero 2015
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 17 febrero, 2015
      Seleccionar base de datos
      The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s economic empowerment and understand gender gaps in other key areas of development. Covering 160 countries, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
    • diciembre 2015
      Fuente: Office of National Statistics, Mauritania
      Subido por: Knoema
      Acceso el: 10 noviembre, 2016
      Seleccionar base de datos
      General Census of Population and Housing (RGPH) 2013 - http://www.ons.mr/images/Archive/images/rgph2013/Chapitres_RGPH_Fr/
    • diciembre 2015
      Fuente: Office of National Statistics, Mauritania
      Subido por: Knoema
      Acceso el: 19 octubre, 2016
      Seleccionar base de datos
      General Census of Population and Housing (RGPH) 2013 - http://www.ons.mr/images/Archive/images/rgph2013/Chapitres_RGPH_Fr/
    • diciembre 2015
      Fuente: Office of National Statistics, Mauritania
      Subido por: Knoema
      Acceso el: 11 noviembre, 2016
      Seleccionar base de datos
      General Census of Population and Housing (RGPH) 2013 - http://www.ons.mr/images/Archive/images/rgph2013/Chapitres_RGPH_Fr/
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps22 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps111 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • noviembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 23 noviembre, 2018
      Seleccionar base de datos
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 01 febrero, 2018
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: German Chemicals Industry Association
      Subido por: Knoema
      Acceso el: 26 abril, 2018
      Seleccionar base de datos
      Facts and figures for chemistry (2017), Foreign Trade
    • octubre 2017
      Fuente: Emission Database for Global Atmospheric Research
      Subido por: Knoema
      Acceso el: 15 noviembre, 2017
      Seleccionar base de datos
      citation:  Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Olivier, J.G.J., Peters, J.A.H.W., Schure, K.M., Fossil CO2 and GHG emissions of all world countries, EUR 28766 EN,Publications Office of the European Union, Luxembourg, 2017, ISBN 978-92-79-73207-2, doi:10.2760/709792, JRC107877.    Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
    • octubre 2015
      Fuente: HelpAge International
      Subido por: Knoema
      Acceso el: 16 octubre, 2015
      Seleccionar base de datos
      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.
    • marzo 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 28 marzo, 2018
      Seleccionar base de datos
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • julio 2011
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 21 septiembre, 2017
      Seleccionar base de datos
      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.
    • marzo 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 11 abril, 2018
      Seleccionar base de datos
      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
    • noviembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 22 noviembre, 2017
      Seleccionar base de datos
      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.
    • diciembre 2013
      Fuente: Transparency International
      Subido por: Knoema
      Acceso el: 20 febrero, 2014
      Seleccionar base de datos
      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
    • julio 2017
      Fuente: International Telecommunication Union
      Subido por: Shakthi Krishnan
      Acceso el: 13 septiembre, 2017
      Seleccionar base de datos
        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.
    • noviembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 30 noviembre, 2018
      Seleccionar base de datos
      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2016 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and 964 National Health Accounts. The resulting estimates were used to help produce forecasted health spending estimates for 2015-2040. Results of the study were published in The Lancet in April 2017 in "Evolution and patterns of global health financing 1995–2016: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • agosto 2015
      Fuente: Grant Thornton
      Subido por: Knoema
      Acceso el: 16 octubre, 2015
      Seleccionar base de datos
      The Grant Thornton Global Dynamism Index (GDI) ranks 60 leading economies on their dynamism in five key areas – business operating environment, economics & growth, science & technology, labour & human capital and financing environment. The GDI analyses 22 indicators across these five categories to assess the dynamism of business growth environments around the world, where dynamism refers to the changes in an economy over the past 12 months which are likely to lead to a faster future rate of growth.
    • marzo 2017
      Fuente: World Economic Forum
      Subido por: Knoema
      Acceso el: 19 abril, 2017
      Seleccionar base de datos
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: Global Energy Architecture Performance Index Report 2017 Publication URL: https://www.weforum.org/reports/global-energy-architecture-performance-index-report-2017 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   The Energy Architecture Performance Index (EAPI) uses a set of indicators to highlight the performance of various countries across each facet of their energy architecture, determining to what extent nations have been able to create affordable, sustainable and secure energy systems   1)Economic growth and development: The extent to which energy architecture supports, rather than detracts from, economic growth and development 2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities 3) Energy access and security: The extent to which energy architecture is at risk of an energy security impact, and whether adequate access to energy is provided to all parts of the population   Note: For detail methodology please visit:"http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2017.pdf"
    • junio 2015
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 19 julio, 2018
      Seleccionar base de datos
      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.
    • noviembre 2017
      Fuente: Global Entrepreneurship and Development Institute
      Subido por: Knoema
      Acceso el: 16 marzo, 2018
      Seleccionar base de datos
      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
    • enero 2018
      Fuente: Global Entrepreneurship Monitor
      Subido por: Knoema
      Acceso el: 09 febrero, 2018
      Seleccionar base de datos
      The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.  
    • abril 2018
      Fuente: Global Entrepreneurship Monitor
      Subido por: Knoema
      Acceso el: 03 abril, 2018
      Seleccionar base de datos
      The GEM National Expert Survey (NES) monitors the factors that are believed to have a significant impact on entrepreneurship, known as the Entrepreneurial Framework Conditions (EFCs). It is administered to a minimum of 36 carefully chosen 'experts' in each country. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.
    • abril 2018
      Fuente: United Nations Statistics Division
      Subido por: Knoema
      Acceso el: 21 noviembre, 2018
      Seleccionar base de datos
      Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
    • noviembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 23 noviembre, 2018
      Seleccionar base de datos
      Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2016-2040 for 188 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. GDP and all-sector government spending were extracted for 1980–2015 and used with retrospective health spending estimates for 1995-2015 to forecast GDP, all-sector government spending, and health spending through 2040. Results of the study were published in The Lancet in April 2018 in "Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–2040."
    • julio 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 28 diciembre, 2018
      Seleccionar base de datos
      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.
    • abril 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 21 mayo, 2018
      Seleccionar base de datos
      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.
    • octubre 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 14 noviembre, 2018
      Seleccionar base de datos
      Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.  The dataset help us to know about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.
    • marzo 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 11 abril, 2018
      Seleccionar base de datos
      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
    • septiembre 2015
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 octubre, 2015
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: World Economic Forum
      Subido por: Shakthi Krishnan
      Acceso el: 03 enero, 2019
      Seleccionar base de datos
      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)
    • noviembre 2017
      Fuente: World Economic Forum
      Subido por: Knoema
      Acceso el: 22 noviembre, 2018
      Seleccionar base de datos
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Gender Gap Report 2017 Publication URL: https://www.weforum.org/reports/the-global-gender-gap-report-2017 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • octubre 2017
      Fuente: Emission Database for Global Atmospheric Research
      Subido por: Knoema
      Acceso el: 10 enero, 2018
      Seleccionar base de datos
      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.
    • septiembre 2017
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 23 octubre, 2017
      Seleccionar base de datos
      The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others
    • octubre 2018
      Fuente: International Food Policy Research Institute
      Subido por: Knoema
      Acceso el: 29 octubre, 2018
      Seleccionar base de datos
      Global Hunger Index, 2018   The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger. Since 2015, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child under-nutrition, with two indicators of child under-nutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time. GHI scores are calculated using a three-step process that draws on available data from various sources to capture the multidimensional nature of hunger: 1. Undernourishment: The share of the population that is undernourished (that is, whose caloric intake is insufficient). 2. Child wasting and stunting: The share of children under the age of five who are wasted (that is, who have low weight for their height, reflecting acute under-nutrition). 3.Child Stunting: The share of children under the age of five who are stunted (that is, who have low height for their age, reflecting chronic under-nutrition). 4. Child Mortality: The mortality rate of children under the age of five (in part, a reflection of the fatal mix of inadequate nutrition and unhealthy environments).   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Wasting in Children Under Five Years(%)4Prevalence of Stunting in Children Under Five Years (%)5Prevalence of underweight in children under five years (%)   Date for above indicators are taken as per below year ranges. 1   2   3   4   5   Date Range Date Range Date Range Date Range Date Range 2018 2013-2017 2018 2015-2017 2018 2013-2017 2018 2013-2017 2012 2009-2013 2017 2012-2016 2017 2014-2016 2017 2012-2016 2017 2012-2016 2011 2008-2012 2015 2010-2016 2015 2014-2016 2015 2012-2016 2015 2012-2016 2010 2005-2010 2014 2009-2013 2013 2014-2016 2013 2010-2014 2013 2010-2014 2009 2004-2009 2013 2008-2012 2012 2011-2013 2010 2008-2012 2010 2008-2012 2008 2003-2008 2012 2005-2010 2011 2010-2012 2008 2006-2010 2008 2006-2010 2007 2002-2007 2011 2004-2009 2010 2009-2011 2005 2003-2007 2005 2003-2007 2006 2001-2006 2010 2008-2012 2009 2005-2007 2000 1998-2002 2000 1998-2002 2005 2003-2007 2009 2002-2007 2008 2007-2009 1995 1993-1997 1995 1993-1997 2004 2000-2005 2008 2006-2010 2007 2003-2005 1992 1990-1994 1992 1990-1994 2003 1999-2003 2005 2003-2007 2006 2002-2004 1990 1988-1992 1990 1988-1992 2000 1998-2002 2001 1994-1998 2005 2004-2006         1997 1993-1998 2000 1998-2002 2004 2001-2003         1995 1993-1997 1996 1988-1992 2003 2000-2002         1990 1988-1992 1995 1993-1997 2000 1999-2001         1980 1977-1982 1992 1990-1994 1997 1995-1997             1990 1988-1992 1995 1994-1996                 1992 1991-1993                 1990 1990-1992                 1980 1979-1981               6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale ≤ 9.9 low 10.0–19.9 moderate 20.0–34.9 serious 35.0–49.9 alarming 50.0 ≤ extremely alarming
    • noviembre 2018
      Fuente: International Telecommunication Union
      Subido por: Knoema
      Acceso el: 17 enero, 2019
      Seleccionar base de datos
    • julio 2016
      Fuente: World Economic Forum
      Subido por: Knoema
      Acceso el: 13 enero, 2017
      Seleccionar base de datos
      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.
    • julio 2018
      Fuente: Global Innovation Index
      Subido por: Knoema
      Acceso el: 02 agosto, 2018
      Seleccionar base de datos
      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.
    • agosto 2018
      Fuente: Internal Displacement Monitoring Centre
      Subido por: Knoema
      Acceso el: 29 agosto, 2018
      Seleccionar base de datos
      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).
    • febrero 2016
      Fuente: Material Flows
      Subido por: Knoema
      Acceso el: 14 junio, 2016
      Seleccionar base de datos
    • septiembre 2018
      Fuente: Oxford Poverty & Human Development Initiative
      Subido por: Knoema
      Acceso el: 17 enero, 2019
      Seleccionar base de datos
      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.    
    • junio 2018
      Fuente: Open Knowledge International
      Subido por: Knoema
      Acceso el: 13 junio, 2018
      Seleccionar base de datos
    • diciembre 2017
      Fuente: Milken Institute
      Subido por: Knoema
      Acceso el: 28 diciembre, 2017
      Seleccionar base de datos
      The Global Opportunity Index answers a pressing need for information that's vital to a thriving global economy like what policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation, what do multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments.   Methodology:  The GOI considers economic and financial factors that influence investment activities as well as key business, legal and regulatory policies that governments can modify to support and often drive investments. Overall, the GOI tracks countries’ performance on 51 variables aggregated in five categories, each measuring an aspect of the country’s attractiveness for investors.Economic Fundamentals (EF) indicates the current economic strength of a country vis-à-vis the global economic outlook. The assessment focuses on the country’s macro-performance, trade openness, quality and structure of the labor force, and modern infrastructure.Financial Services (FS) measures the size and access to financial services in a country by looking at the country’s financial infrastructure and access to credit.Business Perception (BP) measures explicit and implicit costs associated with business operations such as tax burden, transparency, etc.Institutional Framework (IF) measures the extent to which an individual country’s institutions provide a supportive network to businesses.International Standards and Policy (ISP) reflects the extent to which a country’s institutions, policies, and legal system facilitate international integration by following international standards. The assigned composite index value is the average score of the five categories (called component scores). Each variable is normalized from 0 to 10. Within each category, the normalized variables are given equal weight and aggregated, resulting in a normalized category score between 0, indicating the least favorable conditions for investment, and 10, signaling the most favorable. The index covers 133 countries. The index methodology is reviewed for each publication to reflect changes in data sources or other relevant adjustments.
    • junio 2018
      Fuente: Institute for Economics and Peace
      Subido por: Knoema
      Acceso el: 10 julio, 2018
      Seleccionar base de datos
      Data cited at: Institute for Economics and Peace The Global Peace Index 2018 report finds that the global level of peace has deteriorated by 0.27% over the last year. This is the fourth successive year of deterioration, finding that 92 countries have deteriorated, while 71 countries have improved. The report reveals a world in which tensions, conflicts and crises that have emerged over the past decade remain unresolved, causing a gradual, sustained decline in global levels of peacefulness.
    • enero 2019
      Fuente: GlobalPetrolPrices.com
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      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    
    • mayo 2014
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Kirill Kosenkov
      Acceso el: 27 agosto, 2015
      Seleccionar base de datos
      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
    • julio 2018
      Fuente: Jones Lang LaSalle
      Subido por: Knoema
      Acceso el: 05 septiembre, 2018
      Seleccionar base de datos
      The 2018 Global Real Estate Transparency Index covers 100 markets and is based on 186 indicators. These variables are divided into six areas –performance measurement, market fundamentals, governance of listed vehicles, regulatory & legal frameworks, transaction process and environmental sustainability.   Tier 1: Highly Transparent - Total Composite Score: 1.00–1.96 Tier 2: Transparent - Total Composite Score: 1.97–2.65 Tier 3: Semi-Transparent - Total Composite Score: 2.66–3.50 Tier 4: Low Transparency - Total Composite Score: 3.51–4.16 Tier 5: Opaque - Total Composite Score: 4.17–5.00
    • marzo 2018
      Fuente: A. T. Kearney
      Subido por: Knoema
      Acceso el: 06 abril, 2018
      Seleccionar base de datos
      The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.
    • diciembre 2014
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 06 junio, 2018
      Seleccionar base de datos
      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.
    • enero 2014
      Fuente: United Nations Office on Drugs and Crime
      Subido por: Knoema
      Acceso el: 05 abril, 2018
      Seleccionar base de datos
      The "Global Study on Homicide 2013" throw lights on the worst of crimes - the "unlawful death purposefully inflicted on a person by another person." In 2012, intentional homicide took the lives of almost half a million people. The study of intentional homicide is relevant not only because it is the study of the ultimate crime, whose ripple effect goes far beyond the initial loss of human life, but because lethal violence can create a climate of fear and uncertainty. Intentional homicide also victimizes the family and community of the victim, who can be considered secondary victims, and when justice is not served, impunity can lead to further victimization in the form of the denial of the basic human right to justice. Percentage of homicides by firearm, number of homicides by firearm and homicide by firearm rate per 100,000 population. Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person.
    • abril 2014
      Fuente: United Nations Office on Drugs and Crime
      Subido por: Knoema
      Acceso el: 20 mayo, 2016
      Seleccionar base de datos
      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • enero 2018
      Fuente: INSEAD
      Subido por: Knoema
      Acceso el: 17 abril, 2018
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: KPMG
      Subido por: Knoema
      Acceso el: 03 julio, 2018
      Seleccionar base de datos
      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2018. Provided by KPMG.
    • noviembre 2017
      Fuente: Institute for Economics and Peace
      Subido por: Knoema
      Acceso el: 11 diciembre, 2017
      Seleccionar base de datos
      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.
    • mayo 2018
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 12 diciembre, 2018
      Seleccionar base de datos
      Global Trends in Prevalence of Tobacco Smoking 2000-2025
    • enero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 21 julio, 2016
      Seleccionar base de datos
    • enero 2017
      Fuente: U.S. Geological Survey
      Subido por: Knoema
      Acceso el: 14 diciembre, 2017
      Seleccionar base de datos
    • febrero 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 14 junio, 2018
      Seleccionar base de datos
      This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
    • agosto 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 21 agosto, 2018
      Seleccionar base de datos
      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)
    • agosto 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 27 agosto, 2018
      Seleccionar base de datos
      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.
    • agosto 2014
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 28 agosto, 2014
      Seleccionar base de datos
      This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP).
    • agosto 2014
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 28 agosto, 2014
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 enero, 2019
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 enero, 2019
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 enero, 2019
      Seleccionar base de datos
      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 enero, 2019
      Seleccionar base de datos
      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.
    • diciembre 2018
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 23 diciembre, 2018
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 enero, 2019
      Seleccionar base de datos
      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • enero 2019
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 enero, 2019
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 27 julio, 2018
      Seleccionar base de datos
      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.
    • octubre 2017
      Fuente: World Resources Institute
      Subido por: Knoema
      Acceso el: 04 septiembre, 2018
      Seleccionar base de datos
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec3 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec1 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • marzo 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 25 julio, 2018
      Seleccionar base de datos
      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.
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec5 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • julio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 agosto, 2018
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • abril 2017
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 14 abril, 2017
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • septiembre 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 14 septiembre, 2018
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • octubre 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 01 noviembre, 2018
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • septiembre 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 13 septiembre, 2018
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • abril 2017
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 15 abril, 2017
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • noviembre 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • septiembre 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 18 septiembre, 2018
      Seleccionar base de datos
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • octubre 2015
      Fuente: bq magazine
      Subido por: Knoema
      Acceso el: 11 abril, 2016
      Seleccionar base de datos
      Gulf Dataset 2015 includes below Topics. 1. The Arab World Online 2014: Trends in Internet and Mobile Usage in the Arab Region http://img.b8cdn.com/images/uploads/article_docs/en_gip-mbrsg_bayt_internet_final_20422_EN.pdf 2. Just Falafel Index 2015: Given the popularity and convenience of the Big Mac Index by The Economist, bqdoha.com devised a similar, but more local, solution/version for currency valuation. http://www.bq-magazine.com/magazine-content/2015/01/just-falafel-index 3. CO2 emissions in GCC countries 2014 http://www.bq-magazine.com/gcc-illustrated/2014/08/co2-emissions-gcc-countries 4. Satisfaction with access to quality healthcare in the GCC http://www.bq-magazine.com/gcc-illustrated/2014/07/healthcare-access-gcc
  • H
    • octubre 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 20 diciembre, 2018
      Seleccionar base de datos
      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
    • abril 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 02 enero, 2019
      Seleccionar base de datos
      This dataset presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
    • junio 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 23 julio, 2018
      Seleccionar base de datos
    • diciembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 26 diciembre, 2018
      Seleccionar base de datos
      Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016
    • octubre 2016
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 01 noviembre, 2016
      Seleccionar base de datos
      Eurostat Dataset Id:med_ps23 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • noviembre 2016
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 26 mayo, 2017
      Seleccionar base de datos
      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.
    • diciembre 2010
      Fuente: Maddison Project
      Subido por: Knoema
      Seleccionar base de datos
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 14 enero, 2019
      Seleccionar base de datos
      La fuerza de trabajo abarca a todas las personas en edad de trabajar que representan la mano de obra disponible para la producción de bienes y servicios económicos durante un período de referencia especificado. Esto corresponde al conjunto de las personas ocupadas y las desocupadas. La población en edad de trabajar definirse como todas aquellas personas de 15 o más años de edad. Esta serie es parte de las estimaciones de la OIT y está armonizada teniendo en cuenta las diferencias de los datos nacionales y del alcance de la cobertura, las metodologías de recolección y tabulación, y otros factores específicos de cada país. Los datos para 1990-2015 son estimaciones mientras que los datos para 2016-2030 son proyecciones. La base de datos se actualizó en julio de 2017. Para obtener más información, consulte el documento metodológico sobre las estimaciones y proyecciones de la OIT (en Inglés).
    • agosto 2018
      Fuente: United Nations Development Programme
      Subido por: Knoema
      Acceso el: 20 diciembre, 2018
      Seleccionar base de datos
      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
    • enero 2019
      Fuente: Financial Tracking Service
      Subido por: Knoema
      Acceso el: 11 enero, 2019
      Seleccionar base de datos
      Data cited at: Financial Tracking Service
  • I
    • enero 2008
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 22 septiembre, 2014
      Seleccionar base de datos
      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System. The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • julio 2017
      Fuente: International Centre for Tax and Development
      Subido por: Knoema
      Acceso el: 11 octubre, 2017
      Seleccionar base de datos
      ICTD Government Revenue Dataset, 2017 A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • junio 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 28 junio, 2018
      Seleccionar base de datos
      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.
    • diciembre 2017
      Fuente: Islamic Development Bank (IDB)
      Subido por: Knoema
      Acceso el: 29 marzo, 2018
      Seleccionar base de datos
    • febrero 2011
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Seleccionar base de datos
      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.
    • febrero 2011
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Seleccionar base de datos
      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.
    • diciembre 2010
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 31 julio, 2013
      Seleccionar base de datos
      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.
    • septiembre 2011
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Seleccionar base de datos
      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.
    • diciembre 2010
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Seleccionar base de datos
      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.
    • julio 2017
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 10 octubre, 2017
      Seleccionar base de datos
      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.
    • octubre 2018
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 23 octubre, 2018
      Seleccionar base de datos
      The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.
    • julio 2018
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 16 julio, 2018
      Seleccionar base de datos
      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.
    • octubre 2018
      Fuente: International Monetary Fund
      Subido por: Knoema
      Acceso el: 15 octubre, 2018
      Seleccionar base de datos
      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years.   Changes to the October 2018 DatabaseArgentina’s consumer prices, which were previously excluded from the group composites because of data constraints, are now included starting from 2017 onward.Data for Aruba are included in the data aggregated for the emerging market and developing economies. It is classified as a member of the Latin America and Caribbean.Egypt’s forecast data from which the nominal exchange rate assumptions are calculated that were previously excluded because the nominal exchange rate was a market-sensitive issue, are now made public.Swaziland is now called Eswatini.Venezuela redenominated its currency on August 20, 2018, by replacing 100,000 bolívares Fuertes (VEF) with 1 bolívar Soberano (VES). Local currency data, including the historical data, for Venezuela are expressed in the new currency beginning with the October 2018 WEO database.
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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.
    • marzo 2016
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 08 noviembre, 2017
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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.
    • marzo 2016
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 08 noviembre, 2017
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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).
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 03 diciembre, 2018
      Seleccionar base de datos
      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.
    • julio 2015
      Fuente: National Institute of Statistics, Honduras
      Subido por: Knoema
      Acceso el: 17 junio, 2016
      Seleccionar base de datos
    • marzo 2017
      Fuente: Statistics Bureau of Japan
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Import by Area and Country Month
    • marzo 2017
      Fuente: Statistics Bureau of Japan
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Import by Area and Country F.Y.
    • noviembre 2018
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 16 noviembre, 2018
      Seleccionar base de datos
    • julio 2014
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 04 agosto, 2014
      Seleccionar base de datos
      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.
    • septiembre 2017
      Fuente: National Institute of Statistics, Republic of Guinea
      Subido por: Knoema
      Acceso el: 14 diciembre, 2018
      Seleccionar base de datos
      Data cited at: https://guinea.opendataforafrica.org/kruwzwd Imports of products by zone and country of origin, 2011 - 2012
    • diciembre 2016
      Fuente: U.S. Patent and Trademark Office
      Subido por: Knoema
      Acceso el: 27 julio, 2017
      Seleccionar base de datos
      An independent inventor patent is a patent that has ownership that is unassigned or assigned to an individual at the time of grant i.e. ownership of the patent is not assigned to an organization. some U.S. origin patents are assigned to foreign individuals while some foreign origin patents are assigned to U.S. individuals. Therefore, the sum of counts of U.S. origin independent inventor patents usually will not equal the sum of counts of patents owned by "U.S. individuals" and the sum of counts of "foreign origin" independent inventor patents usually will not equal the sum of counts of patents owned by foreign individuals.
    • marzo 2018
      Fuente: Global Trade Alert
      Subido por: Olga Bikeeva
      Acceso el: 12 marzo, 2018
      Seleccionar base de datos
      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”
    • febrero 2018
      Fuente: Heritage Foundation
      Subido por: Knoema
      Acceso el: 23 febrero, 2018
      Seleccionar base de datos
      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
    • mayo 2018
      Fuente: Coffee Board of India
      Subido por: Knoema
      Acceso el: 10 agosto, 2018
      Seleccionar base de datos
    • julio 2018
      Fuente: Ministry of Finance, India
      Subido por: Knoema
      Acceso el: 05 septiembre, 2018
      Seleccionar base de datos
      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
    • julio 2016
      Fuente: United Nations Industrial Development Organization
      Subido por: Knoema
      Acceso el: 22 agosto, 2016
      Seleccionar base de datos
      The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector for the period 1990 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.   Note: Value added and Employnment indicators were extracted from   http://www.unido.org/Data1/IndStatBrief/E_Employement_Wages_and_Employment_Share_per_Sector.cfm?print=no&ttype=C4&Country=ALB&sortBy=&sortDir=&Group=
    • agosto 2018
      Fuente: United Nations Industrial Development Organization
      Subido por: Knoema
      Acceso el: 20 agosto, 2018
      Seleccionar base de datos
      Industrial Statistics Database, INDSTAT 2 2018, ISIC Revision 3 (Demo)
    • marzo 2016
      Fuente: UNESCO Institute for Statistics
      Subido por: Knoema
      Acceso el: 30 marzo, 2016
      Seleccionar base de datos
    • octubre 2010
      Fuente: Japan Apparel Technology and Research Association
      Subido por: Knoema
      Acceso el: 31 agosto, 2016
      Seleccionar base de datos
      The Japan Apparel Industrial Association
    • enero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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.
    • diciembre 2018
      Fuente: Knoema
      Subido por: Knoema
      Acceso el: 11 diciembre, 2018
      Seleccionar base de datos
    • octubre 2018
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 16 octubre, 2018
      Seleccionar base de datos
      Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
    • diciembre 2015
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 05 marzo, 2016
      Seleccionar base de datos
      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • enero 2019
      Fuente: Federal Reserve Bank of St. Louis
      Subido por: Knoema
      Acceso el: 07 enero, 2019
      Seleccionar base de datos
      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2018Oct/international-data-from-fred-monthly-update
    • junio 2018
      Fuente: Barro-Lee
      Subido por: Knoema
      Acceso el: 12 diciembre, 2018
      Seleccionar base de datos
      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
    • noviembre 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 14 noviembre, 2018
      Seleccionar base de datos
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: International Debt Statistics Publication: https://datacatalog.worldbank.org/dataset/international-debt-statistics License: http://creativecommons.org/licenses/by/4.0/   Focuses on financial flows, trends in external debt, and other major financial indicators for low- and middle-income countries. Includes over 200 time series indicators from 1970 to 2016, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
    • noviembre 2018
      Fuente: U.S. Energy Information Administration
      Subido por: Knoema
      Acceso el: 06 diciembre, 2018
      Seleccionar base de datos
    • julio 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 06 marzo, 2018
      Seleccionar base de datos
      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.
    • julio 2012
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 17 julio, 2012
      Seleccionar base de datos
      Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > Balance of payments of the EU institutions (bop_euins).
    • diciembre 2018
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 26 diciembre, 2018
      Seleccionar base de datos
      The International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. These macroeconomic data and projections are assembled explicitly to serve as underlying assumptions for the annually updated USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.  The projections assume there are no changes in policy and abstract from business cycle effects.  Historical data are available for real (inflation-adjusted) gross domestic product (GDP), inflation, population, and real exchange rates from 1969 to the most recent available year, and each variable is projected forward to 2030.
    • diciembre 2017
      Fuente: United Nations Development Programme
      Subido por: Knoema
      Acceso el: 06 febrero, 2018
      Seleccionar base de datos
      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.
    • enero 2018
      Fuente: United Nations Development Programme
      Subido por: Knoema
      Acceso el: 16 marzo, 2018
      Seleccionar base de datos
    • diciembre 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 11 diciembre, 2018
      Seleccionar base de datos
      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.
    • enero 2006
      Fuente: American University
      Subido por: Knoema
      Acceso el: 12 julio, 2016
      Seleccionar base de datos
      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
    • agosto 2018
      Fuente: Property Rights Alliance
      Subido por: Knoema
      Acceso el: 26 septiembre, 2018
      Seleccionar base de datos
      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.
    • junio 2013
      Fuente: United Nations Conference on Trade and Development
      Subido por: Knoema
      Acceso el: 22 julio, 2013
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: Baker Hughes
      Subido por: Knoema
      Acceso el: 10 enero, 2019
      Seleccionar base de datos
      data cited at: Baker Hughes Rig Count Rotary Rig:  A rotary rig rotates the drill pipe from surface to drill a new well (or sidetracking an existing one) to explore for, develop and produce oil or natural gas. The Baker Hughes Rotary Rig count includes only those rigs that are significant consumers of oilfield services and supplies and does not include cable tool rigs, very small truck mounted rigs or rigs that can operate without a permit. Non-rotary rigs may be included in the count based on how they are employed. For example, coiled tubing and workover rigs employed in drilling new wells are included in the count.
    • diciembre 2016
      Fuente: Federal Communications Commission
      Subido por: Knoema
      Acceso el: 14 abril, 2017
      Seleccionar base de datos
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_ec4 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 23 agosto, 2018
      Seleccionar base de datos
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • junio 2017
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 30 octubre, 2018
      Seleccionar base de datos
      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.
    • junio 2013
      Fuente: World Integrated Trade Solution
      Subido por: Knoema
      Acceso el: 04 enero, 2019
      Seleccionar base de datos
      The dataset provides a consolidated and reconciled version of multiple sources of bilateral trade data. Its advantages over the original source data are that it provides broader coverage based on mirror flows, reconciliation of aggregate with underlying flows, and consolidation (allowing for broader coverage than offered by source data). One weakness, inherent in all available data of this type, is that even with mirror flows, a substantial share of South-South trade is unreported. As such, while we can recover North-South exports from mirror flows, we cannot recover all unreported bilateral flows. The scale of the problem can be gauged by comparing trade with the world with bilateral flows in the database. Notes: • values are in millions of current US dollars • Because of the apparent mixing of zero and missing by source agencies, we have opted to use missing, or “.”, for reported zero and missing flows. • total with world is the greater of reported total with world, or aggregate of bilateral flows • region XWD holds difference between all bilateral flows and global (trade with world) total. It is the sum of flows with missing partners. This means XWD holds identified flows without a partner. It does not hold flows that are totally unreported. • all unreported REP:PAR:BOP:YEAR combinations, meaning that do not even appear in the dataset, can be safely assumed to be missing. By this, we mean there is no reported source for these flows, and the countries-product-year combination does not even occur in any of the underlying source data.
    • octubre 2016
      Fuente: CBS StatLine Databank
      Subido por: Knoema
      Acceso el: 06 octubre, 2018
      Seleccionar base de datos
      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.
    • marzo 2018
      Fuente: U.S. Department of Commerce, Bureau of Economic Analysis
      Subido por: Knoema
      Acceso el: 23 abril, 2018
      Seleccionar base de datos
    • diciembre 2017
      Fuente: Statistics Mauritius
      Subido por: Knoema
      Acceso el: 17 diciembre, 2018
      Seleccionar base de datos
    • octubre 2015
      Fuente: Water FootPrint Network
      Subido por: Knoema
      Acceso el: 27 octubre, 2015
      Seleccionar base de datos
      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/
    • diciembre 2012
      Fuente: Internet World Stats
      Subido por: Knoema
      Acceso el: 11 septiembre, 2013
      Seleccionar base de datos
      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.
    • febrero 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 02 agosto, 2018
      Seleccionar base de datos
      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.
    • septiembre 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 04 diciembre, 2018
      Seleccionar base de datos
      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • enero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
      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.
    • enero 2018
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 07 diciembre, 2018
      Seleccionar base de datos
    • junio 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 16 enero, 2018
      Seleccionar base de datos
      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • julio 2014
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 04 agosto, 2014
      Seleccionar base de datos
      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.
  • Í
  • J
    • septiembre 2016
      Fuente: Ministry of Economy, Trade and Industry of Japan
      Subido por: Knoema
      Acceso el: 20 septiembre, 2016
      Seleccionar base de datos
      Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Commodities: Production, Shipment and Inventory).
    • enero 2019
      Fuente: Petroleum Association of Japan
      Subido por: Knoema
      Acceso el: 15 enero, 2019
      Seleccionar base de datos
      Monthly data on crude oil imports by country and by oil type in Japan.
    • noviembre 2018
      Fuente: Petroleum Association of Japan
      Subido por: Knoema
      Acceso el: 19 noviembre, 2018
      Seleccionar base de datos
      Monthly data on Oil Products Imports (by country) in Japan.
    • enero 2018
      Fuente: Japanese Shipowners' Association
      Subido por: Knoema
      Acceso el: 16 abril, 2018
      Seleccionar base de datos
      Yearly directory of statistics published by Japanese Shipowners' Association (JSA) with a variety of shipping facts in Japan.
    • diciembre 2018
      Fuente: Joint Organisations Data Initiative
      Subido por: Knoema
      Acceso el: 22 diciembre, 2018
      Seleccionar base de datos
      The JODI-Gas World Database is a platform that provides access to all data reported through monthly submissions of the JODI-Gas Questionnaire by all participating countries and economies. The database is updated on a monthly basis around the 20th of each month, though there are possibilities for additional updates. Registered users are notified by e-mail alert each time the database is updated. Modelled after JODI-Oil, which features monthly oil production, consumption, stocks and trade data from over 90 countries, JODI-Gas embodies the same objective of enhancing energy data transparency, with the ultimate goal of ensuring global energy security for producers and consumers alike. JODI-Gas World Database covers: Three product categories: Natural gas in million m3 Natural gas in TJ LNG in 1000 tons Twelve flows: Production Receipts from Other Sources Total Imports LNG Total Exports LNG Total Imports through Pipeline Total Exports through Pipeline Stock Change Gross Inland Deliveries (Calculated) Statistical Difference (Calculated) Gross Inland Deliveries (Observed) Of which: Electricity and Heat Generation Closing Stocks; Data for around 80 participating countries. Historical data from January 2009: target is to release one month old data (M-1) every month for all participating countries.
    • agosto 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      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.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      A efectos estadísticos, los jóvenes se definen como aquellas personas de edades comprendidas entre los 15 y los 24 años. Los jóvenes que no están estudiando son aquellos que no estaban inscritos en ningún establecimiento educativo ni en ningún programa formal de capacitación (por ejemplo de formación vocacional) durante un período de referencia específico (por ejemplo, una semana).
  • K
    • febrero 2018
      Fuente: Africa Report
      Subido por: Knoema
      Acceso el: 13 noviembre, 2018
      Seleccionar base de datos
    • mayo 2017
      Fuente: United Nations Office on Drugs and Crime
      Subido por: Knoema
      Acceso el: 09 abril, 2018
      Seleccionar base de datos
      “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.
    • enero 2012
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 26 agosto, 2013
      Seleccionar base de datos
      The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.
  • L
    • diciembre 2017
      Fuente: Ministry of Economy, UAE
      Subido por: Knoema
      Acceso el: 17 mayo, 2018
      Seleccionar base de datos
    • junio 2018
      Fuente: Eurostat
      Subido por: Knoema
      Acceso el: 03 septiembre, 2018
      Seleccionar base de datos
      Eurostat Dataset Id:med_en61 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • febrero 2018
      Fuente: Global CCS Institute
      Subido por: Shakthi Krishnan
      Acceso el: 15 febrero, 2018
      Seleccionar base de datos
      Data cited at: The Global CCS Institute https://www.globalccsinstitute.com Publication URL: http://www.globalccsinstitute.com/projects/large-scale-ccs-projects#map License: https://creativecommons.org/licenses/by-nc/4.0/   Globally, there are 15 large-scale CCS projects in operation, with a further seven under construction. The 22 projects in operation or under construction represents a doubling since the start of this decade. The total CO2 capture capacity of these 22 projects is around 40 million tonnes per annum (Mtpa). There are another 10 large-scale CCS projects at the most advanced stage of development planning, the Concept Definition (or Define) stage, with a total CO2 capture capacity of around 14 Mtpa. A further 12 large-scale CCS projects are in earlier stages of development planning (the Evaluate and Identify stages) and have a total CO2 capture capacity of around 25 Mtpa. Two large-scale CCS projects became operational in 2015:The Quest project, located in Alberta, Canada (CO2 capture capacity of approximately 1 Mtpa) was launched in November 2015. The project, involving the manufacture of hydrogen for upgrading bitumen into synthetic crude oil, is North America’s first large-scale CCS project to store CO2 exclusively in a deep saline formation.The Uthmaniyah CO2-EOR Demonstration Project, located in the Kingdom of Saudi Arabia was launched in July 2015. The project is capable of capturing around 0.8 Mtpa of CO2 from the Hayiwah NGL (natural gas liquids) Recovery Plant. Two more industrial CCS projects are expected to become operational in early 2016:The Illinois Industrial CCS Project (CO2 capture capacity of 1 Mtpa) is located at the Archer Daniel Midlands corn-to-ethanol production facility in Decatur, Illinois (United States). The project, the world’s first bio-CCS project at large scale, will be the first integrated CCS project in the United States to inject CO2 into a deep saline formation at a scale of 1 Mtpa.The Abu Dhabi CCS Project (CO2 capture capacity of 0.8 Mtpa), the world’s first iron and steel project to apply CCS at large scale, will involve CO2capture from the direct reduced iron process used at the Emirates Steel plant in Abu Dhabi. Large-scale CCS projects in the power sector are now a reality, demonstrated by:The world’s first large-scale power sector CCS project – the Boundary Dam Carbon Capture and Storage Project in Canada (CO2 capture capacity of 1 Mtpa) – becoming operational in October 2014.Commissioning activities on a new-build 582 megawatt (MW) power plant beginning at the Kemper County Energy Facility in Mississippi (United States, CO2 capture capacity of 3 Mtpa) with CO2 capture expected to commence around the middle of 2016.The Petra Nova Carbon Capture Project at the W.A. Parish power plant near Houston, Texas (US, CO2 capture capacity of 1.4 Mtpa) entering construction in July 2014, with CO2 capture anticipated by the end of 2016.
    • junio 2018
      Fuente: Legatum Institute
      Subido por: Knoema
      Acceso el: 11 diciembre, 2018
      Seleccionar base de datos
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Un accidente de trabajo es un daño corporal causado por las muertes por enfermedades o accidentes. Hablamos de una lesión profesional mortal en caso de fallecimiento dentro de un año después de que el día del accidente. Los datos indican que el número de casos por cada 100 000 en el grupo de referencia.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      La tasa de incidencia representa el número promedio de nuevos casos de lesión profesional fatal durante el año calendario por 100,000 trabajadores en el grupo de referencia. Los datos se presentan desglosados según sexo y actividad económica, utilizando la última versión disponible de la Clasificación Industrial Internacional Uniforme de Todas las Actividades Económicas (CIIU).
    • diciembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      La tasa de incidencia representa el número promedio de nuevos casos de lesión profesional fatal durante el año calendario por 100,000 trabajadores en el grupo de referencia.
    • noviembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 05 noviembre, 2018
      Seleccionar base de datos
      Este indicador transmite la tasa de lesiones profesionales fatales por cada 100>000 trabajadores en el grupo de referencia. Una lesión profesional se define como toda lesión corporal, enfermedad o muerte causadas por un accidente de trabajo; la lesión profesional es, por lo tanto, distinta de la enfermedad profesional, que es aquella contraída como resultado de la exposición a factores de riesgo inherentes a la actividad laboral. Un accidente de trabajo es un hecho imprevisto y no intencionado, incluyendo los actos de violencia, que se deriva del trabajo o está en relación con el mismo y causa una lesión, una enfermedad o la muerte a uno o a más trabajadores. Un caso de lesión profesional es el caso de un trabajador que sufre de una lesión profesional causada por un accidente de trabajo. Una lesión profesional puede ser fatal (como resultado de accidentes de trabajo y siempre que la muerte ocurra en un espacio de un año a partir del día del accidente) o no fatal, con tiempo de trabajo perdido. Los trabajadores integrantes del grupo que se examina y que es abarcado por la fuente estadística de lesiones profesionales se denominan trabajadores en el grupo de referencia. En el caso de los sistemas de notificación, se trata del número de trabajadores en, por ejemplo, los establecimientos o actividades económicas seleccionados, cubiertos por el sistema como lo establece la legislación o regulaciones correspondientes. Para más información, vea el Repositorio de Metadatos de los Indicadores de los ODD o la descricpción del indicador en ILOSTAT.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019
      Seleccionar base de datos
      Este indicador presenta el número promedio de nuevos casos de lesión profesional no fatal durante el año calendario por 100,000 trabajadores en el grupo de referencia.
    • enero 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 08 enero, 2019