Power BI analysis of anaemia in Nigerian women (2000–2023)
# Anaemia in Nigerian Women (2000–2023) — Power BI Dashboard
This Power BI project analyzes the trend and burden of **anaemia in women aged 15–49** in **Nigeria**, with a focus on differences between **pregnant and non-pregnant women** over time. The data is sourced from WHO’s Global Health Observatory and visualized to provide actionable insights for public health stakeholders and policy makers.
## Dashboard Preview
## Project Objective
To explore:
- How anaemia prevalence has changed between 2000 and 2023
- Differences between pregnant, non-pregnant, and total population
- Trends, gaps, and opportunities for health interventions
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## Key Visualizations
- **Trend Analysis by Year**
Shows anaemia rate over time by pregnancy status.
- **KPI Cards**
- 🔸 Highest Recorded Rate
- 🔻 Lowest Recorded Rate
- 📊 Average Rate (2000–2023)
- **Pregnant vs Non-Pregnant Comparison**
- Visualizes rate differences year by year.
- **Anaemia Range Estimates**
- Displays confidence intervals (lower & upper bounds).
### Key Insights
- **Pregnant women** consistently show **higher anaemia rates** than non-pregnant women.
- Anaemia has remained a persistent issue, fluctuating between **37% to 55%** over the past 20 years.
- **No significant reduction trend** observed — suggesting limited national progress.
- In recent years, rates have hovered around **50%**, highlighting a **critical maternal health gap**.
### Recommendations
- **Strengthen nutrition programs** for pregnant women and girls of reproductive age.
- **Enhance screening and early diagnosis** at the community level.
- **Scale up iron supplementation** and health education in rural areas.
- Include **anaemia reduction targets** in Nigeria’s maternal health policies.
- Monitor and evaluate progress with **routine data dashboards** at the state level.
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## Tools Used
- **Power BI Desktop** (dashboarding, DAX)
- **WHO Anaemia Dataset** (CSV format)
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## Repository Contents
- `Anaemia_Dashboard.pbix` – Pow …