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kimondaJ692/Kenya-Maternal-Child-Health-Dashboard

Domain:

healthcare

Record type:

project
Creator:
kim
Host:
Power BI analysis of maternal and child health disparities across Kenya's 47 counties using public data from UNICEF, WHO and Kenya Ministry of Health # Kenya Maternal & Child Health Dashboard ### A Power BI Analysis of County-Level Health Disparities in Kenya **Analyst:** Janet Kimonda **Tools:** Power BI Desktop, Microsoft Excel **Data Period:** 2022 – 2026 **Status:** Complete ✅ --- ## Table of Contents 1. Project Overview 2. Problem Statement 3. Data Acquisition 4. Data Cleaning & Transformation 5. Data Model 6. DAX Measures & Calculated Columns 7. Design Decisions 8. Dashboard Pages 9. Key Findings 10. Recommendations 11. Limitations 12. Challenges Encountered 13. Future Improvements --- ## 1. Project Overview This project is a multi-page interactive Power BI dashboard analysing maternal and child health outcomes across Kenya's 47 counties. It was built as a portfolio project to demonstrate applied data analytics skills in a development sector context — specifically the kind of data work done by MEAL (Monitoring, Evaluation, Accountability and Learning) officers and health data analysts in NGOs and public health institutions. The dashboard integrates 11 publicly available datasets covering vaccination coverage, antenatal care, skilled birth attendance, child mortality, stunting rates, and health facility performance. It tells a story of significant county-level disparity beneath Kenya's strong national averages — and asks who is being left behind, and why. --- ## 2. Problem Statement Kenya's national health statistics often mask deep inequalities at the county level. With a national Skilled Birth Attendance rate of 97.07% and over 15,000 health facilities, Kenya appears well-positioned on headline indicators. Yet the country's Maternal Mortality Ratio stood at 375 per 100,000 live births in 2021 — more than five times the SDG 3 target of 70 by 2030. This dashboard investigates three core questions: 1. **Which counties are being left behind** on maternal and child health indicators — and is the pattern consistent across indicators, or does it vary? 2. **What is the relationship between antenatal ca …

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