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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.

森林経営管理制度推進事業

林野庁 ・ sheet year 2024 (FY2023 spending) · programme ID 3370 ・ 3 payees · total ¥34.2M

BlockPayeeTypePrefectureAmount
A
株式会社 日本旅行
株式会社日本旅行
市町村支援技術者養成事業の実施
株式会社東京都¥10.4M
B
公益財団法人 日本生態系協会 ほか
公益財団法人日本生態系協会
森林経営管理制度実施円滑化事業の実施
other registered corp.東京都¥20.4M
B
公益財団法人 日本生態系協会 ほか
株式会社四門
森林経営管理制度実施円滑化事業の実施
株式会社東京都¥3.4M

Contracts reported for this programme

ContractPayeeMethodBiddersWin ratioAmount
令和5年度森林経営管理制度実施円滑化事業のうち事務データベース及び森林管理状況評価指標整備業務公益財団法人日本生態系協会随意契約(企画競争)1—¥20.4M
令和5年度市町村支援技術者養成事業株式会社日本旅行一般競争契約(最低価格)1—¥10.4M
令和5年度森林経営管理制度実施円滑化事業のうち所有者不明森林等の探索等工程調査株式会社四門随意契約(企画競争)3—¥3.4M

← All programmes Official RS site ↗

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.