Follow the money: who is paid by each government programme?
Each year every ministry publishes a review sheet for each of its budget programmes (行政事業レビューシート) listing the main payees — companies, agencies, municipalities — with their corporate number and the amount, and often the individual contracts (method, number of bidders, winning ratio). We load that open data so you can go from a programme to its recipients and, on every company profile, from a company to the programmes that paid it. It complements the tender awards (procurement) with grants, commissions and transfers.
Coverage: 148,679 payee lines · 26,535 companies · 9,996 programmes · sheet years 2025, 2024 (a sheet year describes the PREVIOUS fiscal year’s spending). Updated monthly if the source changes.
How to read the amounts
- Amounts are in yen, as reported by the ministry for that block of the programme. A programme’s payees can include intermediaries (agencies, funds, prefectures) that pass money on, so totals across programmes must not be summed naively.
- Only the main payees are listed (the sheets show the top payees per block; smaller ones are aggregated as “others”).
- Source: 行政事業レビュー見える化サイト (Cabinet Secretariat), Public Data License 1.0. This is an edited extract by LoreaTec, not the government’s original presentation.
インターネットの通信サービスの脆弱性分析に関する調査研究
総務省 ・ 総合通信基盤局 ・ sheet year 2025 (FY2024 spending) · programme ID 5666 ・ 2 payees · total ¥68.8M
| Block | Payee | Type | Prefecture | Amount |
|---|---|---|---|---|
| A 株式会社三菱総合研究所 | 株式会社三菱総合研究所 インターネットの脆弱性分析に関する調査研究の実施 | 株式会社 | 東京都 | ¥47.3M |
| B 株式会社エル・シィ | 株式会社エル・シィ 仮想モデルの構築及び災害などの甚大な影響の演算・推定 | 株式会社 | 東京都 | ¥21.5M |
Contracts reported for this programme
| Contract | Payee | Method | Bidders | Win ratio | Amount |
|---|---|---|---|---|---|
| インターネットの脆弱性分析に関する調査研究の請負 | 株式会社三菱総合研究所 | 一般競争契約(総合評価) | 1 | 96.6% | ¥47.3M |
| 仮想モデルの構築及び災害などの甚大な影響の演算・推定にあたりモデルのコーティング及び計算の実行 | 株式会社エル・シィ | その他 | 0 | — | ¥21.5M |
出典:行政事業レビュー見える化サイト(Public Data License 1.0)— edited extract by LoreaTec BizSearch. JSON API and bulk data: see Data & API.