GIS and Python data analysis project assessing county-level health service accessibility, facility pressure, and priority areas in Kenya.
# Kenya Health Service Accessibility Analysis
## Project Subtitle
County-Level Health Facility, Population Pressure, and Priority Mapping Analysis
## Author
Vivian Mbachi
GIS Analyst | Nairobi, Kenya
Year: 2026
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## Project Overview
This project analyzes county-level health service accessibility in Kenya by combining GIS mapping, Python data analysis, population data, health facility data, charts, and thematic maps.
The project compares:
- total health facilities by county
- total hospital beds by county
- population per health facility
- health access priority levels
The purpose is to identify counties where health facilities may be under higher population pressure and where further public health assessment may be needed.
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## Tools Used
- ArcMap 10.8
- Python
- pandas
- matplotlib
- Microsoft Excel
- Microsoft Word
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## Data Sources
- HDX Kenya administrative boundaries
- OpenAfrica Kenya Master Health Facility List 2020
- HDX / KNBS Kenya Census Population 2019
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## Methodology Summary
1. Downloaded Kenya county boundary data, health facility data, and population data.
2. Inspected raw datasets in ArcMap and Excel.
3. Cleaned health facility and population CSV files using Python.
4. Summarized health facilities, hospital beds, and operational facilities by county.
5. Joined county health facility summaries with county population data.
6. Calculated population per health facility and population per hospital bed.
7. Classified counties into health access priority levels.
8. Created charts using Python matplotlib.
9. Joined the analysis table to Kenya county boundaries in ArcMap.
10. Exported four final thematic maps and a final report.
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## Key Outputs
### Maps
1. Map 1: Population per Health Facility by County in Kenya
2. Map 2: Total Health Facilities by County in Kenya
3. Map 3: Total Hospital Beds by County in Kenya
4. Map 4: Health Access Priority by County in Kenya
### Charts
1. Top 10 Counties with Highest Population per Health Faci …