Data Completeness
6/27 Core Data 13 Datasets 9 Organisations Show legend
What is Data Completeness?
Data 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 Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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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
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Affected People
2 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Profile Locations
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
3 Datasets
3w - Who is doing what where
Affected Areas
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
1 Datasets
Food security
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Health & Education
3 Datasets
Health Facilities
Humanitarian OpenStreetMap Team (HOT)
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Population & Socio-economy
1 Datasets
Baseline Population by Age & Sex
Poverty Rate
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  • 3900+ Downloads
    Updated January 28, 2020 | Dataset date: Jan 28, 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.
  • Updated January 27, 2020 | Dataset date: Jan 1, 1992-Dec 31, 2012
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Niger - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • Updated January 27, 2020 | Dataset date: Jan 1, 1992-Dec 31, 2012
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Niger - Subnational Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de deuxième niveau – estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risuqe d’inondation et l’attente maximale attendue des inondations. Original dataset title: ICA Niger, 2018 - Flood Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Niger between 2017 and 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Niger entre 2017 et 2018, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Original dataset title: ICA Niger, 2018 - ICA Categories & Areas
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2013, WorldClim 1970-2000, FAO data and NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2013, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Niger, 2018 - Land Degradation, 2001-2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015. Original dataset title: ICA Niger, 2018 - Natural Shock Risk
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS), 2013-2017. The main indicator used for the analysis was the Food Consumption Score (FCS), with a threshold - referring to poor and borderline households - set to 20%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS), 2013-2017. L’indicateur principale utilisé pour l’analyse était le score de consommation alimentaire faible et limite, avec un seuil fixé à 20%. Original dataset title: ICA Niger, 2018 - Recurrence of Food Insecurity, 2013-2017
  • Updated January 27, 2020 | Dataset date: Jan 1, 1981-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ VAM Analyse des données CHIRPS d’estimation des precipitations, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance). Original dataset title: ICA Niger, 2018 - Drought Risk, 1981-2015
  • Updated January 27, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a threshold set to 10% according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec un seuil d’alerte fixé à 10%, selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Niger, 2018 - Prevalence of Global Acute Malnutrition, 2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Fewsnet, 2011. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Fewsnet, 2011. Original dataset title: ICA Niger, 2018 - Most Predominant Livelihood Zones, 2011
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS), 2013-2017. The main indicators in the shapefile are the percentage of food insecure population for long-term planning, the most vulnerable food insecure people and the additional population figures in case of a major shock. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de deuxième niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS), 2013-2017. Les indicateurs principaux utilisés pour l'analyse étaient la pourcentage de population exposée à l'insécurité alimentaire pour la planification à long-terme, la population la plus vulnerable et le nombre de personnes supplémentaires en cas de choc. Original dataset title: ICA Niger, 2018 - Estimated Numbers of Food Insecure People, 2013-2017
  • Updated January 26, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2019
    This dataset updates: Live
    Projects proposed, in progress, or completed as part of the annual Niger Humanitarian Response Plans (HRPs). The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.
  • 100+ Downloads
    Updated January 26, 2020 | Dataset date: Jan 1, 1999-Dec 31, 2018
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 5700+ Downloads
    Updated January 26, 2020 | Dataset date: Jan 1, 1990-Jan 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.
  • 400+ Downloads
    Updated January 26, 2020 | Dataset date: Jan 15, 1990-Dec 15, 2019
    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.
  • 200+ Downloads
    Updated January 22, 2020 | Dataset date: Nov 6, 2015
    This dataset updates: As needed
    This dataset is a summary of the latest prevalences of the Global Acute Malnutrition of Sahel by Admin1.
  • 100+ Downloads
    Updated January 22, 2020 | Dataset date: May 7, 2019
    This dataset updates: As needed
    This data is about the refugees, idps and returnees in the Lake Chad Basin.
  • 4000+ Downloads
    Updated January 14, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • Updated January 13, 2020 | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Niger. Source: http://ngoaidmap.org/location/gn_2440476
  • 1400+ Downloads
    Updated January 8, 2020 | Dataset date: Sep 1, 2018-Dec 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset The first dataset '2019 Attacks on Health Care KKADD' covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members so far in 2019. The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018. For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 100+ Downloads
    Updated January 3, 2020 | Dataset date: Nov 30, 2019
    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).
  • Updated January 1, 2020 | Dataset date: Jan 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name is_in population place source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 1, 2020 | Dataset date: Jan 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: name building addr:full capacity:persons operator:type aeroway addr:city emergency emergency:helipad source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 1, 2020 | Dataset date: Jan 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name addr:full source network operator addr:city amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.