Data analysis and visualization of Nigeria's 2026 Federal Appropriation Budget (₦58.47T). Extracted 274 budget line items from PDF, cleaned in Excel, analyzed with PostgreSQL, and visualized with Power BI.
# Nigeria-2026-Budget-Analysis
Data analysis and visualization of Nigeria's 2026 Federal Appropriation Budget (₦58.47T). Extracted 274 budget line items from PDF, cleaned in Excel, analyzed with PostgreSQL, and visualized with Power BI.
# Nigeria 2026 Federal Appropriation Budget — Data Analysis Project
## Overview
A complete data analysis pipeline analyzing Nigeria's ₦58.47 trillion 2026 Federal Appropriation Budget. The project extracts structured data from a 10-page PDF appropriation bill, cleans and restructures 274 budget line items, and answers three critical analytical questions using SQL analytics and Power BI visualization.
**Commissioned by:** Top-tier Nigerian television station for a prime-time investigative data journalism report
**Target audience:** Everyday Nigerians — market traders, teachers, civil servants, parents
**Status:** Complete — All 3 dashboard pages, technical documentation, and analytical story delivered
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## Key Findings
### Question 1 — Deficit & Debt Burden
Nigeria earns ₦33.2T but spends ₦58.5T. The ₦25.3T deficit (76.1% of revenue) is financed 91.14% by borrowing. Debt service consumes **47.92% of revenue** — nearly double the IMF 30% benchmark.
### Question 2 — Capital Expenditure Illusion
Of the ₦23.2T capital budget:
- ₦2.24T (9.6%) = Legacy contractor debts from 2024
- ₦3.42T (14.7%) = Loan-funded projects (new debt)
- ₦17.6T (75.6%) = True new self-funded investment
The headline is real, but 24.3% of the "capital budget" is not new investment.
### Question 3 — Healthcare Compliance Test
Nigeria's budget is **compliant** at 6.39% health spending (vs. 6% legal minimum) — but only **0.39 percentage points above the floor**. Remove the NIA Hospital (₦208Bn) and compliance fails. One building is the difference between meeting the law and violating it.
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## Project Architecture
### Data Pipeline
1. **Extraction** — Tabula: PDF table extraction from 10-page Appropriation Bill
2. **Cleaning** — Microsoft Excel: Remove …