olusegunadebusuyi-alt/Nigeria-humanitarian-analysis

Analysis of 10 years of UN humanitarian needs data (2017–2026) covering Northeast Nigeria — Adamawa, Borno and Yobe states. Built with Python and pandas # Nigeria Humanitarian Needs Analysis 2017–2026 **Author:** Segun Adebusuyi **Data source:** UN OCHA Humanitarian Needs Overview (HNO) via HDX **Tools:** Python, pandas, matplotlib ## What this project does Analyses 10 years of UN humanitarian data covering Northeast Nigeria — Adamawa, Borno and Yobe states — to quantify the scale, geography and trend of humanitarian need from 2017 to 2026. ## Key findings - **2024 was the worst year on record** — 16M people in need, nearly double 2023's 8.3M, driven by the Alau Dam collapse in October 2024 - **Borno State** consistently accounts for over 50% of total need - **Fufore LGA** (Adamawa) had 197,634 people in need in 2023 alone - By 2026 numbers have fallen to 5.9M — improving but still critical ## Files | File | Description | |------|-------------| | `nigeria_humanitarian_analysis.py` | Full analysis code | | `nigeria_humanitarian_lga_2019_2024.csv` | Clean LGA-level dataset | | `nigeria_humanitarian_national_trend.csv` | National totals 2018–2026 | | `chart1_national_trend.png` | Annotated trend chart | ## Data limitations - 2025–2026 files still under development; only national totals used - Gender disaggregation inconsistent across years - 2017 data excluded from LGA analysis due to sector double-counting