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Burkina Faso

  • President:Roch Marc Christian Kaboré
  • Prime Minister:Paul Kaba Thieba
  • Capital city:Ouagadougou
  • Languages:French (official), native African languages belonging to Sudanic family spoken by 90% of the population
  • Government
  • National statistics office
  • Population, persons:19,193,382 (2017)
  • Area, sq km:273,600 (2017)
  • GDP per capita, US$:671 (2017)
  • GDP, billion current US$:12.9 (2017)
  • GINI index:35.3 (2014)
  • Ease of Doing Business rank:148 (2017)
All datasets:  A F G I M N O P S T U W
  • A
    • March 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 March, 2019
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      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.
    • May 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 22 March, 2019
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    • August 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 19 November, 2018
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      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • January 2014
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 07 December, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
  • F
    • July 2015
      Source: African Development Bank Group
      Uploaded by: Knoema
      Accessed On: 06 August, 2015
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      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)
  • G
    • April 2018
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 21 November, 2018
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      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.
  • I
    • October 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      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/
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    • March 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 March, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
  • N
    • March 2016
      Source: African Development Bank Group
      Uploaded by: Knoema
      Accessed On: 24 October, 2016
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      3The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries. Between them, these countries account for 85 percent of the sub-Saharan Africa population, GDP, and infrastructure inflows. The countries included in the initial study were: Benin, Burkina Faso, Cameroon, Cape Verde, Chad, Côte d’Ivoire, Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, South Africa, Senegal, Sudan, Tanzania, Uganda, and Zambia. The study also represents an unprecedented effort to collect detailed economic and technical data on African infrastructure in relation to the fiscal costs of each of the sectors, future sector investment needs, and sector performance indicators. As a result, it has been possible for the first time to portray the magnitude of the continent’s infrastructure challenges and to provide detailed and substantiated estimates on spending needs, funding gaps, and the potential efficiency dividends to be derived from policy reforms.
    • October 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 26 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: National water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/national-water-footprint-statistics/ Water footprints of national consumption (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. Water footprints of national production (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. License: https://creativecommons.org/licenses/by-sa/3.0/
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  • S
    • August 2018
      Source: Social Progress Imperative
      Uploaded by: Knoema
      Accessed On: 21 November, 2018
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      The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • August 2013
      Source: Robert S. Strauss Center for International Security and Law
      Uploaded by: Knoema
      Accessed On: 02 February, 2016
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      This dataset provides data on literacy rates, primary and secondary school attendance rates access to improved water and sanitation, household access to electricity, and household ownership of radio and television. Unlike other datasets, notably the World Bank’s World Development Indicators (WDI), this dataset provides data at the subnational level, specifically the first administrative district level. Furthermore, the data is comparable both within and across countries. This subnational level of data allows for assessment of education and household characteristics at a more relevant level for allocation of resources and targeting development interventions.
  • T
    • August 2018
      Source: International Benchmarking Network for Water and Sanitation Utilities
      Uploaded by: Knoema
      Accessed On: 05 September, 2018
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    • February 2015
      Source: University of Keele
      Uploaded by: Knoema
      Accessed On: 24 April, 2015
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      This water poverty index is a first pass at trying to establish an international measure comparing performance in the water sector across countries in a holistic way that brings in the diverse aspects and issues that are relevant. It does seem to give some sensible results but it does not pretend to be definitive nor offer a totally accurate measure of the situation.
  • U
    • September 2018
      Source: United Nations Environment Programme
      Uploaded by: Knoema
      Accessed On: 22 October, 2018
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    • July 2017
      Source: United Nations Children's Fund
      Uploaded by: Knoema
      Accessed On: 23 August, 2017
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      According to UNICEF report, in 2015, seven out of ten people used a safely managed drinking water service. Universal access to safe drinking water is a fundamental need and human right. Securing access for all would go a long way in reducing illness and death, especially among children. Since 2000, 1.4 billion people have gained access to basic drinking water services, such as piped water into the home or a protected dug well. In 2015, 844 million people still lack a basic water service and among them almost 159 million people still collected drinking water directly from rivers, lakes and other surface water sources. The data reveal pronounced disparities, with the poorest and those living in rural areas least likely to use a basic service. “Safely managed” water services represent an ambitious new rung on the ladder used to track progress on drinking water. In 2015, 5.2 billion people used safely managed services, i.e. accessible on premises, available when needed and free from contamination. A further 1.3 billion used a ‘basic’ water service, i.e. improved sources within 30 minutes per round trip to collect water. Over a quarter of a billion (258 million) used a ‘limited’ service where water collection from an improved source exceeded 30 minutes. In most countries the burden of water collection continues to fall mainly to women and girls.
  • W
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2012) A global assessment of the water footprint of farm animal products, Ecosystems, 15(3): 401–415. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) National water footprint accounts: the green, blue and grey water footprint of production and consumption, Value of Water Research Report Series No.50, UNESCO-IHE, Delft, the Netherlands. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • July 2017
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 08 February, 2018
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    • December 2011
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 15 December, 2011
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      Water Resources and Freshwater Ecosystems