Burkina Faso

Data Grid Completeness
Affected People
3 Datasets
50%  25%  25% 
Coordination & Context
5 Datasets
100% 
Food Security & Nutrition
3 Datasets
100% 
Geography & Infrastructure
4 Datasets
75%  25% 
Health & Education
2 Datasets
100% 
Population & Socio-economy
2 Datasets
100% 
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
Legend:
Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
  • Time Period of the Dataset [?]: July 01, 2021-September 30, 2021 ... More
    Modified [?]: 23 November 2021
    Dataset Added on HDX [?]: 11 August 2021
    COVAX Round 6 Allocations for July to September 2021
    90+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: September 11, 2020-September 11, 2020 ... More
    Modified [?]: 17 November 2021
    Dataset Added on HDX [?]: 11 September 2020
    Administrative level 3 boundaries for selected Sahel countries edge-matched and derived from respective COD-AB datasets. P-codes match source datasets.
    COD 300+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
  • Time Period of the Dataset [?]: September 12, 2018-September 12, 2018 ... More
    Modified [?]: 19 October 2021
    Dataset Added on HDX [?]: 12 September 2018
    The regional INFORM Sahel model was initiated by Emergency Response and Preparedness Group of regional Inter-Agency Standing Committee (IASC) and is managed by OCHA. The INFORM model is being used to support the Humanitarian Programme Cycle and coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.
    400+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: INFORM Models
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 17 October 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: November 14, 2020-May 17, 2021 ... More
    Modified [?]: 15 September 2021
    Dataset Added on HDX [?]: 15 June 2021
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
    600+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: June 02, 2021-August 18, 2021 ... More
    Modified [?]: 1 September 2021
    Confirmed [?]: 1 September 2021
    Dataset Added on HDX [?]: 9 June 2021
    Subnational Covid19 vaccination data in Burkina Faso per region from the beginning of the vaccination campaign. Vaccine type : AstraZeneca ; Johnson & Johnson Details : first & second dose Covax initiative Data : new vaccinated, cumulative vaccinated, new health workers vaccinated, cumulative health workers vaccinated
    200+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    Covid-19 recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    500+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    Covid-19 cumulative recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    300+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    Covid-19 death cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    500+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    400+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    600+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    300+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
  • Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Confirmed [?]: 27 September 2021
    Dataset Added on HDX [?]: 19 May 2020
    Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.
    1100+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 1990-August 15, 2021 ... More
    Modified [?]: 22 August 2021
    Dataset Added on HDX [?]: 15 April 2015
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    10000+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: July 01, 2014-July 30, 2014 ... More
    Modified [?]: 21 June 2021
    Dataset Added on HDX [?]: 11 October 2021
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou, Mentao and Sag-Nioniogo refugee camps in July 2014. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP), IEDA Relief, UN Children's Fund (UNICEF), Médicins du Monde France, Action Against Hunger (ACF), Save the Children and Association Tin Hinan. The report is not available.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
  • Time Period of the Dataset [?]: December 12, 2015-December 23, 2015 ... More
    Modified [?]: 21 June 2021
    Dataset Added on HDX [?]: 11 October 2021
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou and Mentao refugee camps in December 2015. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP), IEDA Relief, UN Children's Fund (UNICEF).
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
  • Time Period of the Dataset [?]: January 01, 2017-December 23, 2017 ... More
    Modified [?]: 21 June 2021
    Dataset Added on HDX [?]: 11 October 2021
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou and Mentao refugee camps in December 2017. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP) and UN Children's Fund (UNICEF).
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 2 June 2021
    Confirmed [?]: 23 December 2021
    Dataset Added on HDX [?]: 2 June 2021
    This data is a snapshot of the humanitarian situation in Burkina Faso.
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
  • Time Period of the Dataset [?]: February 01, 2021-March 31, 2021 ... More
    Modified [?]: 30 April 2021
    Dataset Added on HDX [?]: 30 April 2021
    These data are collected by sentinel sites in Burkina-Faso, Mali, Mauritania, Niger and Senegal. They provide weekly data on water availability, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on www.sigsahel.info website and maps available on a mapping platform : www.geosahel.info. These dataset are the summary of the data collected by sentinel sites over period from February to March 2021.
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
    300+ Downloads
    This dataset updates: Every three months
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
  • Time Period of the Dataset [?]: March 12, 2021-March 12, 2021 ... More
    Modified [?]: 7 April 2021
    Dataset Added on HDX [?]: 16 June 2020
    Compilation of international financial institution and economic data
    200+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 1 April 2021
    Dataset Added on HDX [?]: 1 April 2021
    This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards
    20+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: Global Earthquake Model Foundation - Level 1 Exposure Data