Boucle du Mouhoun

  • Capital:Dédougou
  • Languages:French
  • Population (persons):1923192 (2017)
  • Area in sq.km:34162 (2017)
  • Population Density:56.3 (2017)
  • Total Fertility Rate (children per woman):6.8 (2010)
  • Employment (%):73.0 (2010)
  • Unemployed (%):0.2 (2010)
  • Gross enrollment rate in primary (%):68.98 (2009)
  • Net enrollment rate in primary (%):63.02 (2007)
  • Gross Secondary School Enrollment (%):6.0 (2009)
  • Total classified Road Network (km):2,085.0 (2016)
  • Infant mortality (deaths/1000 live births):69 (2010)
  • Child mortality (deaths/1000 live births):72 (2010)
  • Maternal mortality (Deaths per 1000 births):341.6 (2006)
  • Prevalence of infant and child underweight (%):38.55 (2007)
  • Prevalence of HIV/AIDS (%):0.6 (2010)

Compare
All datasets: A B C D E G H I J N P R S T W Y
  • A
    • December 2022
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 03 January, 2023
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      Agricultural Statistics of Burkina Faso
    • April 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/iivyjsg Source: Integrated Water Resources Management Program Area of Watersheds in Burkina Faso (in km2)
  • B
    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/iqgrctb Source: Statistical Yearbook of National Education / DGESS / MENA
    • May 2021
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 06 August, 2021
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      Data cited at: https://burkinafaso.opendataforafrica.org/labkkvc Source: Statistical Yearbook of Preschool / DGESS / MENA 
    • December 2010
      Source: United Nations Children's Fund
      Uploaded by: Knoema
      Accessed On: 02 May, 2013
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    • December 2021
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 08 December, 2021
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    • October 2023
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 24 October, 2023
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      The Burkina Faso Gender, Institutions and Development Database (Burkina Faso-GID) provides researchers and policymakers with key data at the national and subnational levels on gender-based discrimination in social institutions. This data helps analyse women’s empowerment and understand gender gaps in other key areas of development. Covering the 13 regions of the country, the Burkina Faso-GID contains comprehensive information on social norms, attitudes and both perceived and actual practices that discriminate against women and girls.
    • September 2023
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 September, 2023
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      The Burkina Faso-SIGI is a composite indicator measuring discriminatory social institutions. It is built on 46 innovative variables which are grouped into 5 sub-indices: discrimination in the family, restricted physical and moral integrity, son preference, restricted access to resources and assets and restricted civil liberties. The Burkina Faso-SIGI and its sub-indices range from 0, for no discrimination, to 1, for very high discrimination.
  • C
    • March 2022
      Source: The Africa Information Highway
      Uploaded by: Knoema
      Accessed On: 11 July, 2022
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      Data cited at: https://dataportal.opendataforafrica.org/rtufdnc/social This Dataset describes the list of common indicators from census datasets of African countries.
    • October 2022
      Source: Google
      Uploaded by: Knoema
      Accessed On: 04 May, 2023
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      These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.
  • D
    • December 2023
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 16 January, 2024
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      Burkina Faso : Demographics
    • August 2021
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 12 September, 2021
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      Data cited at: https://burkinafaso.opendataforafrica.org/wkwdktb Source: Statistical Yearbook / DGESS of the Ministry of Justice, Human Rights and Civic Promotion   TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack
  • E
  • G
    • March 2023
      Source: The Global Data Lab
      Uploaded by: Knoema
      Accessed On: 10 March, 2024
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      Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, version v4.2.Smits, J. GDL Area Database. Sub-national development indicators for research and policy making. GDL Working Paper 16-101 (2016).
    • November 2019
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 14 October, 2020
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      Data cited at: https://burkinafaso.opendataforafrica.org/mvozqf Source: Statistical Yearbook of Post-Primary and Secondary Education / DGESS / MESS
  • H
  • I
  • J
  • N
  • P
    • May 2023
      Source: African Postharvest Losses Information System
      Uploaded by: Knoema
      Accessed On: 12 May, 2023
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      Postharvest loss profiles (PHL profiles) quantify the expected loss – as a percentage – at each point along the postharvest chain. This loss data is collected by reviewing scientific literature and is broken down by crop, type of farm and climate type (based on the Köppen-Geiger climate classification). These profiles provide percentage loss figures for the various crops throughout the value chain under varying conditions and are updated as new research becomes available."   For complete reference information and definitions, Please visit: https://www.aphlis.net/en/page/20/data-tables#/datatables?year=20&tab=references&metric=prc
    • December 2020
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 28 December, 2020
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    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/nndmrl Source: INSD, Demographic and Health Survey 2003 and EDSBF-MICS IV 2010
    • April 2021
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 29 April, 2021
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      Data cited at: https://burkinafaso.opendataforafrica.org/jrsvikg Source: Directorate General of Forests and Wildlife
  • R
  • S
    • 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
  • W
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Raviraj Mahendran
      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: Raviraj Mahendran
      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/  
  • Y