Search for a Dataset - Humanitarian Data Exchange

Peru - Births

WorldPop

Time Period of the Dataset [?]: January 01, 2017-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. Peru 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/WP00315

GeoTIFF

Zimbabwe - Pregnancies

WorldPop

30+ Downloads

Time Period of the Dataset [?]: January 01, 2014-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. Zimbabwe 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/WP00500

GeoTIFF

Réunion - Births

WorldPop

Time Period of the Dataset [?]: January 01, 2017-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. Reunion 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/WP00381

GeoTIFF

Nigeria - Pregnancies

WorldPop

50+ Downloads

Time Period of the Dataset [?]: January 01, 2013-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. Nigeria 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/WP00465

GeoTIFF

Cote d'Ivoire healthsites

Global Healthsites Mapping Project

400+ Downloads

Time Period of the Dataset [?]: April 08, 2017-April 08, 2017 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Western Sahara - Transportation Network

OCHA Middle East and North Africa (ROMENA)

COD 300+ Downloads

Time Period of the Dataset [?]: March 28, 2017-March 28, 2017 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Infrastructure

Morocco transportation network shows layers of airports; http://ourairports.com/countries/EH/; classification layers for roads; Railways; and ports. Data source WFP 2011

CSV
SHP

kenya-admin-level-3-wards

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

1100+ Downloads

Time Period of the Dataset [?]: January 01, 2016-January 01, 2016 ... More

This dataset updates: Every year

This is Kenya Wards administrative. The dataset was digitized from a digital PDF maps by FAO Kenya

SHP

DR Congo - Transportation Network

OCHA Democratic Republic of the Congo (DRC)

COD 2000+ Downloads

Time Period of the Dataset [?]: October 31, 2016-October 31, 2016 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Infrastructure

Réseau de Transport : Aéroports, Axes Navigables, Bacs, Gares, Ponts, Ports, Réseau ferroviaire et Réseau routier

SHP

DR Congo - Settlements

OCHA Democratic Republic of the Congo (DRC)

COD 600+ Downloads

Time Period of the Dataset [?]: September 30, 2011-September 30, 2011 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Populated Places - Settlements

Localités Les localités de la RDC sont issues au de la comparaison de deux bases pour lesquelles les doublons ont été supprimés. Des relevés GPS ainsi que des numérisation sur images satellites ont été réalisés par différentes acteurs présent en RDC et viennent compléter le fichier initial. Des ajouts se font régulièrement (2010). Sourced from Référentiel Géographique Commun

SHP

Lake Chad Basin Area - Administrative boundaries for Nigeria, Chad, Cameroon...

OCHA West and Central Africa (ROWCA)

700+ Downloads

Time Period of the Dataset [?]: January 20, 2017-January 20, 2017 ... More

This dataset updates: Every year

These shapes design administrative levels 1 and 2 plus the localities of the Lac Chad Basin affected by the crisis

SHP

Mali Who does What Where (3W)

OCHA Mali

600+ Downloads

Time Period of the Dataset [?]: November 30, 2016-November 30, 2016 ... More

This dataset updates: Every three months

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed).

Tanintharyi Region Land Cover (Improved)

Myanmar Information Management Unit (MIMU)

30+ Downloads

Time Period of the Dataset [?]: March 01, 2016-March 31, 2016 ... More

This dataset updates: As needed

Geotiff download link: http://bit.ly/2ToMIjL This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based on March, 2016 Landsat 8 OLI imagery. The primary purpose of the study was to map natural forest for each of four ecological forest types (Mangrove, Mixed Deciduous, Lowland Evergreen, Upland Evergreen). A number of other land use/land cover types are also included in the dataset, including human settlement areas, rice paddyfields, and agroforestry plantations. This dataset is a REVISED version of the land cover map generated according to the methodology outlined in the corresponding manuscript (see below for citation). This version has been manually edited to fill cloud holes using 2015 data and to fix a number of obvious mis-classifications, particularly for oil palm and settlement areas. [Citation: Connette, G., P. Oswald, M. Songer, and P. Leimgruber. 2016. Mapping distinct forest types improves overall forest identification based on multi-spectral Landsat imagery. Remote Sensing 8: 882.] [Spatial reference: WGS84 UTM47N] Original dataset title: Tanintharyi Region Land Cover - March 2016 (Improved)

SHP
GeoJSON

Nigeria Railways (data from OSM)

OCHA Nigeria

COD 300+ Downloads

Time Period of the Dataset [?]: November 18, 2016-November 18, 2016 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: COD - Infrastructure

Nigeria Railways (data from OSM)

SHP

Nigeria international boundaries

OCHA Nigeria

100+ Downloads

Time Period of the Dataset [?]: November 18, 2016-November 18, 2016 ... More

This dataset updates: Never

Nigeria international boundaries. Data obtained from United Nations SALB

SHP

Nigeria - Administrative boundaries

OCHA Nigeria

2100+ Downloads

Time Period of the Dataset [?]: November 18, 2016-November 18, 2016 ... More

This dataset updates: Never

Nigeria administrative boundaries level 0, 1 and 2. Data obtained from United Nations SALB

SHP

Nigeria waterways

OCHA Nigeria

COD 400+ Downloads

Time Period of the Dataset [?]: November 18, 2016-November 18, 2016 ... More

This dataset updates: Never

This dataset is part of the data series [?]: COD - Hydrology

Nigeria waterways

SHP

Nigeria Primary and Secondary Roads (data from OSM)

OCHA Nigeria

COD 400+ Downloads

Time Period of the Dataset [?]: November 18, 2016-November 18, 2016 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: COD - Infrastructure

Nigeria Roads (Primary and Secondary roads. Data from OSM)

SHP

Nigeria - Borno Operational Boundaries Admin 1 - 3 (State, LGA, Ward)-Archived

OCHA Nigeria

800+ Downloads

Time Period of the Dataset [?]: October 20, 2016-February 23, 2017 ... More

This dataset updates: Never

Borno State ward boundaries as developed by OCHA, E-Health and IOM for the Humanitarian Community. You can access the current version here.

SHP

Tanintharyi Region Land Cover (Original)

Myanmar Information Management Unit (MIMU)

30+ Downloads

Time Period of the Dataset [?]: March 01, 2016-March 31, 2016 ... More

This dataset updates: As needed

Geotiff download link: http://bit.ly/2IjLZtw This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based on March, 2016 Landsat 8 OLI imagery. The primary purpose of the study was to map natural forest for each of four ecological forest types (Mangrove, Mixed Deciduous, Lowland Evergreen, Upland Evergreen). A number of other land use/land cover types are also included in the dataset, including human settlement areas, rice paddyfields, and agroforestry plantations. This dataset is the original version generated according to the methodology outlined in the corresponding manuscript. [Citation: Connette, G., P. Oswald, M. Songer, and P. Leimgruber. 2016. Mapping distinct forest types improves overall forest identification based on multi-spectral Landsat imagery. Remote Sensing 8: 882.] [Spatial reference: WGS84 UTM47N] Original dataset title: Tanintharyi Region Land Cover - March 2016 (Original)

SHP
GeoJSON

Philippines - Elevation Model

British Red Cross Maps Team

COD 2500+ Downloads

Time Period of the Dataset [?]: October 18, 2016-October 18, 2016 ... More

This dataset updates: Never

This dataset is part of the data series [?]: COD - Infrastructure

90m resolution elevation data

ARC/INFO Grid

Disaster loss and damage dataset for Senegal

United Nations Office for Disaster Risk Reduction (UNDRR)

700+ Downloads

Time Period of the Dataset [?]: October 01, 2015-October 01, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNDRR - Disaster loss and damage datasets

Disaster loss and damage dataset for Senegal

Disaster loss and damage dataset for Kenya

United Nations Office for Disaster Risk Reduction (UNDRR)

700+ Downloads

Time Period of the Dataset [?]: October 01, 2015-October 01, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNDRR - Disaster loss and damage datasets

Disaster loss and damage dataset for Kenya

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

Mining Areas

Myanmar Information Management Unit (MIMU)

100+ Downloads

Time Period of the Dataset [?]: August 31, 2016-August 31, 2016 ... More

This dataset updates: As needed

This is a dataset of possible mining areas in Myanmar that was digitized from a systematic search of high-resolution imagery available on Google Earth and Bing Aerial. Digitizing took place in late 2015 and early 2016 with the most recent imagery available (usually 2014 or 2015). A field in the attribute table called "Certainty" indicates the how confident we were that the digitized polygon is a mine, rather than some other type of ground disturbance.

SHP
GeoJSON

Ethiopia - Roads Network

OCHA Ethiopia

COD 1200+ Downloads

Time Period of the Dataset [?]: May 30, 2016-May 30, 2016 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Infrastructure

This datasets is roads shape file in Ethiopia. It's compiled by WFP and the last update is as of May 2016.

SHP