Every dataset behind 1000 Reasons — budgets, spending, procurement, debt, prices, representation, the published corruption archive, and model-ready feature tables. Public, CC-BY-4.0, and built for analysis: each one streams as NDJSON or CSV with a live schema and cursor pagination.
One row per (state, year): FAAC totals, IGR tax heads, average inflation, and 2022 MPI poverty. Union spine — sources cover different year windows (FAAC 2024+, IGR 2019–2024, inflation 2025+), so expect nulls outside each source’s window.
Stable projection of budget implementation lines: appropriation, month/YTD payments, balance and % executed per classification.
Contracts with model-ready red-flag features: single-bid, round-million amounts, over-planning-budget, and supplier concentration windows. Flags are signals for review, not findings of wrongdoing.
Daily FGN payments joined to their best looters-graph flag and CAC entity data (incorporation age). One row per payment; flags are leads, not verdicts.
One row per politician profile with model-ready features: role, contact/bio presence, past-office count, and VALIDATED bill-sponsorship links only (linked_bills_count is a lower bound — the NASS source omits sponsors for most Senate bills, so never compare linked counts across chambers).
The single-glance "how is my state doing" row: latest FAAC allocation, own IGR, public debt, inflation, health-facility and school counts, and 2022 poverty — each with its own as-of year/date. One row per state (36 + FCT).
Per senatorial district (109): 2022 multidimensional poverty + the sitting senator. The "how poor is my district and who represents it" row.
One row per federal MDA (contract buyer, 258): award count, total value, single-bid rate, supplier count and top-supplier concentration. Risk SIGNALS for scrutiny, not findings of wrongdoing.
Line-level daily payments by federal MDAs from the Open Treasury portal — payee, amount, purpose, with normalization and looters-graph match fields.
Budget line items from signed Appropriation Acts: federal FY2015–2026 and all 36 states, reconciled to headline totals before load.
Monthly budget implementation lines — appropriation, month payment, YTD payments, balance and % executed, by classification and jurisdiction.
Findings from OAuGF annual audit reports (FY2019–2021): MDA, finding type, amount and description.
Rule-generated anomaly leads over public spending/procurement data. Each row is a lead for human follow-up — an algorithmic signal, NOT a finding of wrongdoing.
Federation Account Allocation Committee monthly disbursements to Federal/states/FCT: statutory, derivation, VAT, EMTL, deductions and net.
Annual IGR per state broken into tax heads: PAYE, withholding, capital gains, stamp duties, road tax, direct assessment, MDA and LGA revenue.
DMO quarterly debt stock by jurisdiction and tier: domestic NGN, external USD/NGN, totals and the FX rate used.
CBN official/parallel/I&E exchange rates and gross external reserves over time; includes net-reserves observations where published.
Contract awards from the BPP NOCOPO open-contracting portal: buyer, supplier, amount, method, tenderer count and planning budget.
Corporate-registry lookups for treasury payees: RC number, incorporation date, officers. Currently sparse — populated by the ongoing CAC enrichment.
Commodity prices per market/state/month with unit and price type — the granular series behind the national food-prices summary.
Monthly all-items and food CPI per state: index levels, YoY and MoM rates.
Average national price per food commodity per month with MoM/YoY change and the highest/lowest-price states.
NCC quarterly operator metrics (subscriptions, teledensity, market share).
NBS quarterly rail transport metrics: passengers, freight, revenue by mode.
Monthly crude/condensate barrels per export terminal.
National monthly totals: barrels and daily average bopd.
Billing and collection efficiency per distribution company per quarter.
Average generation (MW) and energy billed (GWh) per quarter.
NBS 2022 MPI per state: index, incidence %, intensity %, poor population.
NBS 2022 MPI per senatorial district: index, incidence %, intensity %.
Registered households and beneficiaries per state/LGA/ward from NASSCO.
Federal road projects with state/zone, completion percentage and remarks.
School-level directory with state/LGA, level, sector, location and enrolment.
Geocoded health facilities (GRID3/NHFR): name, state/LGA/ward, ownership, level, coordinates.
The 36 states + FCT with codes and geopolitical zones.
The 774 LGAs with state linkage and codes.
Ward reference with LGA linkage, codes, centroids and alternate names.
Senatorial districts and federal constituencies per state.
10th Assembly senators and representatives with district, party and contacts.
Which senatorial district and federal constituency each LGA belongs to.
Accountability directory of current office-holders (governors, legislators, LG chairs…) with offices, contacts and term dates.
Continuous Voter Registration centres with location, schedule, status and geocodes.
Bills before the 10th Assembly: number, chamber, title, reading dates, stage, sponsor and explanatory memo.
Profiles of legislators and major office-holders/aspirants: contacts, bio, education, past offices (Wikidata-enriched), press mentions.
The editorially published archive entries: claim text, category, sources and verification status. Pre-editorial drafts are never exposed.
The 615-entity public-interest graph (people, companies, institutions, cases) with legal status and cited sources per node.
Typed edges between looters-graph entities (source/target ids reference looters-nodes).
Bill titles + explanatory memos as a retrieval-ready text corpus (one doc per bill).
Bio + education per politician as a retrieval-ready text corpus.
Contract titles + descriptions with buyer/supplier as a retrieval-ready text corpus.
Published archive entries as a retrieval-ready text corpus with claim text and sources.
Budget line descriptions with jurisdiction/year/amount as a retrieval-ready text corpus.
Core encyclopedic articles about Nigeria — history, geography, government, economy, culture, languages, ethnic groups, institutions — so the knowledge system covers general "about Nigeria" questions beyond the civic-data domains. Sourced from Wikipedia (CC-BY-SA-4.0).