Niger - Humanitarian Data Exchange

Niger - Conflict Data

Armed Conflict Location & Event Data Project (ACLED)

400+ Downloads

Updated November 25, 2020 | Dataset date: Jan 1, 1997-Dec 31, 2020

This dataset updates: Every week

The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.

CSV

Biomass Yearly Productions and Anomalies over West Africa from 1998 to 2020 :...

Action contre la Faim en Afrique de l'Ouest

400+ Downloads

Updated November 24, 2020 | Dataset date: Jan 1, 1998

This dataset updates: Every year

Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA

GeoTIFF

Biomass Yearly Productions and Anomalies over West Africa from 1998 to 2020 :...

Action contre la Faim en Afrique de l'Ouest

Updated November 24, 2020 | Dataset date: Nov 20, 2020

This dataset updates: Every year

Total Biomass Production (tonnes of dry matter) for Admin 0, Admin 1 and Admin 2 Levels for years from 1998 to 2020. Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA

SHP
XLSX

Pastoral Early Warning System - Field data for August and September 2020

Action contre la Faim en Afrique de l'Ouest

Updated November 24, 2020 | Dataset date: Aug 1, 2020-Sep 30, 2020

This dataset updates: Never

These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, 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 of August and September 2020.

SHP
XLSX

Covid-19 Impact on Humanitarian Operations Data Viz inputs

HDX

400+ Downloads

Updated November 24, 2020 | Dataset date: Nov 24, 2020

This dataset updates: Every day

Covid-19 Impact on Humanitarian Operations Data Viz inputs

CSV

Niger - Population Density

WorldPop

Updated November 24, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020

This dataset updates: Every year

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 3 and 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. 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

Niger - Population Counts

WorldPop

70+ Downloads

Updated November 24, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020

This dataset updates: Every year

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. 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

Niger - Requirements and Funding Data

OCHA FTS

5000+ Downloads

Updated November 24, 2020 | Dataset date: Nov 24, 2020

This dataset updates: Every day

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Niger - Food Security Indicators

Food and Agriculture Organization (FAO)

200+ Downloads

Updated November 22, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2019

This dataset updates: Every year

Food Security Indicators for Niger. Contains data from the FAOSTAT bulk data service.

CSV

Niger - Prices

Food and Agriculture Organization (FAO)

100+ Downloads

Updated November 22, 2020 | Dataset date: Jan 1, 1991-Dec 31, 2012

This dataset updates: Every year

Prices for Niger. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual, Producer Prices

CSV

Global Food Prices Database (WFP)

WFP - World Food Programme

8300+ Downloads

Updated November 22, 2020 | Dataset date: Jan 1, 1990-Nov 15, 2020

This dataset updates: Every week

This 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.

CSV

Niger - Food Prices

WFP - World Food Programme

600+ Downloads

Updated November 22, 2020 | Dataset date: Jan 15, 1990-Oct 15, 2020

This dataset updates: Every week

This dataset contains Food Prices data for Niger. Food prices data comes from the World Food Programme and covers 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.

CSV

Niger: Coronavirus (Covid-19) Subnational

HERA - Humanitarian Emergency Response Africa

600+ Downloads

Updated November 21, 2020 | Dataset date: Mar 19, 2020-Nov 20, 2020

This dataset updates: Every week

Subnational data about Covid19 in Niger - Infected (new cases, gender), Deceased, Recovered.

XLSX
CSV

West and Central Africa Coronavirus covid-19 situation

OCHA ROWCA

400+ Downloads

Updated November 20, 2020 | Dataset date: Apr 13, 2020-May 28, 2020

This dataset updates: Every week

West and Central Africa Coronavirus covid-19 situation

XLSX

Humanitarian Access Indicators

HDX

10+ Downloads

Updated November 20, 2020 | Dataset date: Nov 20, 2020

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

Movement Range Maps

Facebook

8000+ Downloads

Updated November 20, 2020 | Dataset date: Mar 1, 2020-Aug 31, 2020

This dataset updates: Every day

These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/

zip
TXT

Niger: Attacks on Civilians and Vital Civilian Facilities

Insecurity Insight

200+ Downloads

Updated November 19, 2020 | Dataset date: Jan 1, 2017-Sep 30, 2020

This dataset updates: As needed

These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Niger to ensure staff safety and better response outcomes.

XLSX

Humanitarian Response Plan projects for Niger

OCHA FTS

10+ Downloads

Updated Live | Dataset date: Jan 1, 2017-Dec 31, 2020

This dataset updates: Live

Projects proposed, in progress, or completed as part of the annual Niger Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.

CSV
JSON

Aid Worker KKA (Killed, Kidnapped or Arrested)

Insecurity Insight

5900+ Downloads

Updated Live | Dataset date: Jan 1, 2015-Dec 31, 2020

This dataset updates: Live

This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.

CSV
XLSX

Niger - Health Indicators

World Health Organization

1300+ Downloads

Updated November 16, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2020

This dataset updates: Every month

Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, UHC, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS, Noncommunicable diseases and mental health, Health workforce, Neglected Tropical Diseases, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization For links to individual indicator metadata, see resource descriptions.

CSV

Niger : Operational Presence

OCHA Niger

600+ Downloads

Updated November 16, 2020 | Dataset date: May 31, 2020

This dataset updates: Every six 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).