Japan Construction & Real Estate License Counts by Prefecture avatar

Japan Construction & Real Estate License Counts by Prefecture

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from $20.00 / 1,000 area registry analyzeds

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Japan Construction & Real Estate License Counts by Prefecture

Japan Construction & Real Estate License Counts by Prefecture

Enter a prefecture and get how many construction companies (or real-estate brokers) Japan's construction ministry lists there. Returns the exact total, exact counts for all 29 trades, the national vs prefectural license split, and top cities from a sample. $0.02 per prefecture. Unofficial.

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from $20.00 / 1,000 area registry analyzeds

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h ichi

h ichi

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What it does: Counts the licensed construction companies (or real-estate brokers) in any Japanese prefecture, from the public registry of Japan's construction ministry.

You enter: A prefecture — Tokyo, 東京都 or code 13 — and which registry: construction or real estate.

You get: One row per prefecture: exact number of licensed companies, exact counts for all 29 trades, exact national vs prefectural split; plus top cities and, for brokers, a rough license-age profile, from a 150-company sample. Optional: one row per sampled company.

Price: $0.02 per prefecture — every prefecture you enter is charged. +$0.002 per company if you also want the list (off by default). No results = no charge.

Example: enter Tokyo, construction → 44,827 licensed companies · 2,746 (6.1%) hold a national license · 42,081 a prefectural one

Unofficial — not an official government service. Data comes from public registry pages of Japan's construction ministry.

What you get per prefecture (one record)

FieldMeaning
totalLicensedCompaniesExact registry count for the prefecture — the size of the market
byBusinessTypeExact count for each of the 29 construction trades (civil engineering, building, electrical, plumbing, demolition…) — the industrial structure of the area
topBusinessTypesThe five largest trades, ranked
ministerLicensedCount / ministerLicenseRatioExact count (not an estimate) of companies holding a national (minister) license = they operate in more than one prefecture. The single best proxy for how consolidated the local market is — e.g. 2,746 of Tokyo's 44,827 construction licensees (6.1%) vs 24 of Kochi's 2,907 (0.8%)
cityDistributionTop 10 municipalities by number of licensees
generalLicensedCount / specificLicensedCount一般 vs 特定 license mix (optional)
licenseRenewalDistribution, medianRenewalCount, newEntrantsShareReal estate only: Japanese broker licenses are renewed every 5 years and the renewal number is printed in every license number — so this is a business-age profile of the local brokerage market, including the share of brand-new entrants

Optionally, every sampled company as its own record (name, license authority, license number, office, address, city).

Privacy: the registry displays each company's representative (a natural person). This Actor parses that column away and never outputs personal names.

Pricing — $0.02 per prefecture

EventPriceWhen
Area registry summary$0.02Per prefecture (× registry) analyzed
Individual company$0.002Only if you enable Include individual companies

A default run (1 prefecture, summary + all 29 trade counts) costs $0.02. You pay per prefecture you enter; there is no monthly fee. A prefecture that returns zero companies is never charged.

Input

FieldExampleNotes
registry"construction"construction (建設業許可業者) or realestate (宅地建物取引業者)
prefectures["13"], ["Tokyo","Kochi"], ["東京都"]English names, Japanese names or JIS codes — all accepted. Matched on head-office location. $0.02 each
businessTypes["Electrical works","解体"]Construction only. Codes 1–29, English or Japanese names. Empty = all 29 trades
breakdownByBusinessTypetrueConstruction only. Adds the per-trade counts (~30s)
includeIndividualCompaniesfalseEnable to also get each sampled company as a record
maxCompaniesPerArea150Sample size per prefecture (50–600)
licenseTypeBreakdownfalseConstruction only. Adds general/specific license counts

Exact vs sampled — which is which

Most of this Actor's numbers are exact counts of every registered company, not estimates: the registry prints a total for any query, so each count is one request instead of reading every page.

FieldBasis
totalLicensedCompaniesExact — registry count for the prefecture
byBusinessType (29 trades)Exact — one registry count per trade
ministerLicensedCount, prefecturalLicensedCount, ministerLicenseRatioExact — dedicated national-license query (ministerLicenseSource: "exact")
generalLicensedCount / specificLicensedCountExact (optional)
cityDistributionSampled
licenseRenewalDistribution, medianRenewalCount, newEntrantsShareSampled

Sampled fields are always listed in estimatedFrom.sampledFields together with sampledCompanies and sampledPages, so you never have to guess.

The registry's default sort groups nationally licensed companies at the top, so sampling the first page only would badly skew a sample. This Actor sorts by company name and jumps to evenly spaced pages across the whole result set (e.g. pages 1 / 449 / 897 of 897).

Output example

Measured on 2026-07-25 (real run) for Tokyo: totalLicensedCompanies, ministerLicensedCount, prefecturalLicensedCount and resultPages are the values the registry returned. The block is abridged, and the per-trade counts and city counts shown are illustrative (shape only).

{
"type": "registry_summary",
"registry": "construction",
"prefecture": "Tokyo",
"prefectureNameJa": "東京都",
"prefectureCode": "13",
"totalLicensedCompanies": 44827,
"resultPages": 897,
"sampledCompanies": 150,
"sampledPages": [1, 449, 897],
"byBusinessType": [
{"code": "1", "name": "Civil engineering works", "nameJa": "土木一式", "companies": 6120},
{"code": "2", "name": "Building construction", "nameJa": "建築一式", "companies": 14980},
{"code": "8", "name": "Electrical works", "nameJa": "電気", "companies": 7340},
{"code": "29", "name": "Demolition", "nameJa": "解体", "companies": 3980}
],
"topBusinessTypes": [{"code": "2", "name": "Building construction", "companies": 14980}],
"ministerLicensedCount": 2746,
"prefecturalLicensedCount": 42081,
"ministerLicenseRatio": 0.0613,
"ministerLicenseSource": "exact",
"cityDistribution": [{"city": "世田谷区", "companies": 11}, {"city": "大田区", "companies": 9}],
"estimatedFrom": {"sampledCompanies": 150, "sampledPages": [1, 449, 897], "sampledFields": ["cityDistribution"]},
"checkedAt": "2026-07-25T09:00:00+00:00"
}

Real-estate runs add instead (shape only — the numbers below are illustrative):

{
"licenseRenewalDistribution": [{"renewalCount": 1, "companies": 34}, {"renewalCount": 16, "companies": 8}],
"medianRenewalCount": 4,
"newEntrantsShare": 0.2267
}

Use cases

  • B2B lead scoping & territory planning — building materials, tools, heavy equipment and rental firms sizing a prefecture before hiring a rep
  • Insurance & guarantee products — the number of licensed companies and their trade mix is the addressable market for construction liability and workers' cover
  • Construction SaaS / PropTech go-to-market — TAM per prefecture, split by trade and by minister vs prefectural license
  • Supply-chain & subcontractor due diligence — verify that a trade is actually licensed in the area, and how deep the local pool is
  • Market research & policy — 47-prefecture comparison of construction density, consolidation and brokerage churn (one run per prefecture)

Notes & limits

  • Companies are matched on their head-office location, so a Tokyo-headquartered firm working in Chiba counts under Tokyo
  • One company is usually licensed for several trades, so byBusinessType counts overlap and sum to far more than totalLicensedCompanies — read them as "how many licensees can legally do X", not as a partition
  • 一般 (general) and 特定 (specific) licenses can both be held by one company, so those two counts may overlap
  • The registry is refreshed roughly monthly by Japan's construction ministry (MLIT) — treat it as a monthly-fresh source, not a daily feed
  • Renewal-count → years-in-business is an approximation (the cycle was 3 years before 1996); use the distribution, not a hard age
  • Read-only, throttled to ≥1 request/second out of respect for a government system. No login, no personal data, nothing stored between runs
  • Keep it to a few prefectures per run; a full per-trade breakdown is ~34 requests (~40 s) per prefecture, a real-estate area 5 requests (~6 s)

日本語ガイド

国土交通省「建設業者・宅建業者等企業情報検索システム」の許認可データを、1コールで都道府県単位の市場統計にして返す Actor です。

  • 概要: 指定した都道府県の 建設業許可業者数(29業種すべての内訳つき) または 宅地建物取引業者数 を、システムが返す実数で取得します。あわせて、大臣許可・大臣免許の業者数と比率も推定ではなく実数(専用クエリ1回で取得。例: 東京の建設業は 44,827 社中 2,746 社 = 6.1%、高知は 2,907 社中 24 社 = 0.8%)、市区町村別の分布、一般/特定の内訳(オプション)、宅建業では免許証番号の更新回数分布(5年更新のため業歴の指標。新規参入=更新回数1の比率も算出)を返します。公式APIも一括ダウンロードも存在しないデータです。
  • 使い方: registry で建設業(construction)か宅建業(realestate)を選び、prefectures に都道府県を指定します(JISコード 13 / 日本語 東京都 / 英語 Tokyo のいずれでも可)。業種を絞るときは businessTypes にコード(1〜29)・日本語名(電気、解体)・英語名を指定してください。個別業者の一覧が必要な場合のみ includeIndividualCompanies を ON にします。
  • 料金: 都道府県サマリー1件 $0.02、個別業者レコードは $0.002/件(既定は OFF なので、既定実行は $0.02 固定)。0件の都道府県には課金されません。従量課金です。
  • 実数とサンプルの区別: 件数(総数・業種別・大臣許可/知事許可の内訳・一般/特定)はすべて全数の実数です(ministerLicenseSource: "exact")。標本から算出するのは 市区町村分布宅建の更新回数分布 のみで、対象フィールド名・標本ページ・標本数は estimatedFrom.sampledFields に明記されます。標本は商号順に並べた検索結果を全ページ範囲へ等間隔にジャンプして層化サンプリングします(先頭ページだけを見ると大臣許可業者に偏るための対策)。
  • 個人情報: 検索結果に表示される代表者名は出力しません(取得後に破棄)。商号・許可番号・所在地など法人情報のみを返します。

If something goes wrong

  • Wrong number or a failed run? Open a ticket on the Issues tab. I read every one and reply within 2 business days (Japan time).
  • You never get a fake "empty" result. If the site can't be read, the run fails and says so.
  • No results = no charge. You only pay for results you actually get.
  • Checked every week. An automatic test runs this tool weekly; if the site changes, I fix it.
  • Public pages only. No login, no personal data, and it goes easy on the site.

More tools by the same author

All tools (Japan marketplaces, real estate, jobs, racing, prediction markets): https://apify.com/jpmarketdata

Disclaimer

Unofficial, independent tool — not an official service of MLIT (Japan Ministry of Land, Infrastructure, Transport and Tourism). Names of public bodies only say where the data comes from. Data is read from public government pages; confirm with the official register before you act on it.