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.
不動産の管理・流通のための環境整備の推進
国土交通省 ・ 不動産・建設経済局 ・ sheet year 2024 (FY2023 spending) · programme ID 4395 ・ 2 payees · total ¥17.0M
| Block | Payee | Type | Prefecture | Amount |
|---|---|---|---|---|
| A 株式会社船井総研デジタル | 株式会社船井総研デジタル 賃貸住宅管理業法等の円滑な運用のためのポータルサイト等運営支援業務 | 株式会社 | ¥6.3M | |
| B 株式会社ニッセイ基礎研究所 | 株式会社ニッセイ基礎研究所 賃貸住宅管理業等に関する実態分析のためのアンケート調査・検討業務 | ¥10.7M |
Contracts reported for this programme
| Contract | Payee | Method | Bidders | Win ratio | Amount |
|---|---|---|---|---|---|
| 賃貸住宅管理業及び空き家管理業に関する実態分析に係る調査検討業務 | 株式会社ニッセイ基礎研究所 | 随意契約(企画競争) | 1 | 99.6% | ¥10.7M |
| 賃貸住宅管理業法等の円滑な運用と表彰制度の運営支援業務 | 株式会社船井総研デジタル | 随意契約(企画競争) | 1 | 99.9% | ¥6.3M |
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.