Burundi - Humanitarian Data Exchange

Burundi: Level 1 Exposure Data

50+ Downloads

Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Global Earthquake Model Foundation - Level 1 Exposure Data

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

CSV

Humanitarian Access Indicators

HDX

400+ Downloads

Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More

This dataset updates: As needed

Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.

CSV

Burundi- Kayanza Province: Operational Presence

Fields Data

70+ Downloads

Time Period of the Dataset [?]: December 31, 2020-September 17, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: Fields Data - Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Kayanza in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

Burundi - Ngozi Province: Operational Presence

Fields Data

50+ Downloads

Time Period of the Dataset [?]: December 31, 2020-September 17, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: Fields Data - Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Ngozi in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

Burundi - Ruyigi Province: Operational Presence

Fields Data

70+ Downloads

Time Period of the Dataset [?]: December 31, 2020-September 17, 2024 ... More

This dataset updates: Every six months

This dataset contains Who, What, Where and When (4W) data for the province of Ruyigi in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

Burundi - Kirundo Province: Operational Presence

Fields Data

50+ Downloads

Time Period of the Dataset [?]: December 31, 2020-September 17, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: Fields Data - Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Kirundo in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

Burundi - Gitega Province: Operational Presence

Fields Data

50+ Downloads

Time Period of the Dataset [?]: January 01, 2021-September 17, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: Fields Data - Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Gitega in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).

CSV

Burundi - Bujumbura Mairie Province: Operational Presence

Fields Data

60+ Downloads

Time Period of the Dataset [?]: January 01, 2020-April 30, 2020 ... More

This dataset updates: Every three months

This dataset contains Who, What, Where and When (4W) data for the province of Bujumbura Mairie in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

Burundi - Rumonge Province: Operational Presence

Fields Data

50+ Downloads

Time Period of the Dataset [?]: December 01, 2019-September 17, 2024 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: Fields Data - Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Rumonge in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). Additionally the dataset includes until when the organisations will have funding to operate their activities. This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

Burundi- Muyinga Province: Operational Presence

Fields Data

30+ Downloads

Time Period of the Dataset [?]: December 01, 2020-September 17, 2024 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: Fields Data - Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Muyinga in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). Additionally the dataset includes until when the organisations will have funding to operate their activities. This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

CSV

West and Central Africa Coronavirus covid-19 situation

OCHA West and Central Africa (ROWCA)

700+ Downloads

Time Period of the Dataset [?]: April 13, 2020-May 28, 2020 ... More

This dataset updates: Every week

West and Central Africa Coronavirus covid-19 situation

XLSX

Burundi - Population Counts

WorldPop

40+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: World Pop - Population Counts

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

GeoTIFF

Humanitarian Access Constraints due to COVID-19 Pandemic

OCHA HQ

400+ Downloads

Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More

This dataset updates: As needed

The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.

XLSX

COVID19 Humanitarian Access Constraints, Impacts and Mitigation

OCHA HQ

100+ Downloads

Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More

This dataset updates: Every two weeks

This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed

XLSX

Burundi - Population Density

WorldPop

40+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Population Density

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

GeoTIFF

People in Need, IDPs, Refugees and Returnees figures in 2020

OCHA HQ

500+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: Every year

This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.

XLSX

Imperial College COVID-19 Projections

HDX

300+ Downloads

Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More

This dataset updates: As needed

Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.

XLSX

LSHTM COVID-19 Projections

HDX

300+ Downloads

Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More

This dataset updates: As needed

This dataset contains simulation based estimates for COVID-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).

XLSX

Burundi - Health District Boundaries

OCHA Burundi

COD 300+ Downloads

Time Period of the Dataset [?]: April 28, 2020-April 28, 2020 ... More

This dataset updates: Every year

This dataset contains information on health districts of Burundi at Admin 2 level.

SHP

Burundi - Age and sex structures

WorldPop

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: As needed

Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).

GeoTIFF

East and Southern Africa Administrative 1 Boundaries

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

2200+ Downloads

Time Period of the Dataset [?]: November 21, 2018-November 21, 2018 ... More

This dataset updates: Never

Shapefile contains admin 1 boundaries for countries in East and southern Africa

SHP

Burundi - Age and sex structures

WorldPop

300+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Age and sex structures

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

GeoTIFF

Burundi - Pregnancies

WorldPop

10+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2017 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Burundi 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00484

GeoTIFF

Burundi - Births

WorldPop

10+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2017 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Births

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Burundi 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00376

GeoTIFF

Burundi Admin boundaries

OCHA Burundi

1400+ Downloads

Time Period of the Dataset [?]: September 16, 2016-September 16, 2016 ... More

This dataset updates: Never

Burundi Admin bounderies. Admin 1 to 4

SHP