Nigeria health data

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: - name - amenity - building - healthcare - healthcare:speciality - operator:type - capacity:persons - addr:full - addr:city - source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Nigeria. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming walking speeds on all roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all

A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Nigeria. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming driving speeds of local public transport options on all-weather roads/asphalt roads and walking speeds on all other roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all

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

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

This dataset contains a zipped shapefile and eight (8) individual CSV files each detailing progress monitoring on key Nutrition Sector indicators, focusing on the three north eastern Nigeria states of Borno, Yobe and Adamawa affected by the crisis, as of July 2018. The data is presented at Local Government Area (LGA) level or Admin 2. The resources include the following: Combined data on all of the Nutrition Indicators; Blanket Supplementary Feeding Programme for Children under 5 years; Blanket Supplementary Feeding Programme (BSFP) for Pregnant and Lactating Women (PLW); Infant and Young Child Feeding (IYCF); Micro-nutrient Powders (MNP); Outpatient Therapeutic Programme (OTP) Admissions; North East Nigeria Nutrition Partner Operational Presence as of July 2018; Stablization Center (SC) Admissions as of July 2018.

Both the shapefile and CSV feature North East Nigeria Health Sector Humanitarian Partner Operational Presence by Local Government Area in Borno, Yobe and Adamawa, the three crisis-affected states - as of June 2018.

The zipped shapefile presents data on the health facility rehabilitation status in Borno, the most crisis-affected state in north east Nigeria, as of June 2018.

Health Resources Availability Mapping System (HeRAMS) E-Atlas, with a focus on the mapping of who's doing what where, when and for whom, in Adamawa State of north east Nigeria as of June 2018.

Safe male circumcision coverage in Borno state, the most crisis-affected state in north eastern Nigeria as of June 2018

The zipped shapefile presents Mobile Health Teams mapping data in the three crisis-affected states of Borno, Yobe and Adamawa in north east Nigeria, as of June 2018.