Taiwan Property Price Stats by District (實價登錄) — Official MOI Data

Get ready-made quarterly housing price statistics for every district in Taiwan, split by building type, computed from the official Ministry of the Interior actual-price registration open data (實價登錄). Each output row is one district × building type (for example Taipei · Da'an District · residential high-rise) with the transaction count, price per ping excluding parking (median, mean, 25th and 75th percentile), price per m², median total price and median floor area. No need to download and clean tens of thousands of raw transactions yourself.

Who is it for

• Real-estate agents, developers and valuers who need a quick, defensible price benchmark per district and building type every quarter.
• Investors, banks and proptech / mortgage teams tracking price levels and dispersion (P25–P75) across Taiwan's 22 counties and cities.
• Journalists, researchers and dashboard builders who want a clean quarterly time series without parsing raw MOI CSV files.
• AI agents that answer "how much does a flat cost in district X" with official numbers.

Why use it

• Official source: the MOI actual-price registration season files (plvr.land.moi.gov.tw), the same data behind the government's price lookup.
• Sensible cleaning built in: land-only and parking-only deals are dropped; parking-space price and area are removed before computing price per ping; related-party deals (relatives, employees, co-owners, other special relations noted by the registrar) are excluded by default.
• Latest season by default: leave seasons empty and the Actor detects the newest published quarter.
• Sale, pre-sale and rental data: for rentals the unit price is monthly rent per ping.
• Polite to the government server: one download at a time, a delay before each (default 1.5 s), 3 retries with backoff, clear error messages.

Input example

{
  "seasons": ["115S3"],
  "counties": ["F", "H"],
  "transactionTypes": ["sale", "presale"],
  "buildingTypes": ["highRiseResidential"],
  "minTransactions": 5
}

Field	Meaning
seasons	ROC year + S + quarter, e.g. 115S3 = 2026 Q3. Empty = latest published season.
counties	MOI letter codes: A Taipei, F New Taipei, H Taoyuan, B Taichung, D Tainan, E Kaohsiung, O Hsinchu City, J Hsinchu County, … (default ["A"]).
transactionTypes	sale (default), presale, lease.
buildingTypes	highRiseResidential 住宅大樓, midRiseResidential 華廈, walkUpApartment 公寓, townhouse 透天厝, studio 套房, shop 店面, officeBuilding 辦公商業大樓, factoryOffice 廠辦, factory 工廠, warehouse 倉庫, farmhouse 農舍, other 其他. Empty = all.
districts	Exact district names, e.g. 大安區. Empty = all.
excludeSpecialRelations	Drop related-party deals (default true).
minTransactions	Skip groups smaller than this (default 1).
maxItems	Maximum rows (default 1,000).

With an empty input {} the Actor returns all district × building-type rows for Taipei, existing-home sales, latest season (48 rows for 2026 Q3).

Output example

Real row from the default run (season 115S3, published October 2026):

{
  "id": "115S3-A-sale-大安區-highRiseResidential",
  "season": "115S3",
  "seasonLabel": "2026-Q3",
  "countyCode": "A",
  "county": "臺北市",
  "district": "大安區",
  "transactionType": "sale",
  "buildingType": "highRiseResidential",
  "buildingTypeZh": "住宅大樓",
  "buildingTypeEn": "Residential high-rise (11+ floors, elevator)",
  "transactionCount": 248,
  "pricedCount": 248,
  "unitPriceTwdPerPingMedian": 1363068,
  "unitPriceTwdPerPingMean": 1339548,
  "unitPriceTwdPerPingP25": 1045015,
  "unitPriceTwdPerPingP75": 1587279,
  "unitPriceTwdPerSqmMedian": 412328,
  "totalPriceTwdMedian": 50580000,
  "buildingAreaPingMedian": 37.47,
  "firstTransactionDate": "2021-07-16",
  "lastTransactionDate": "2026-08-11",
  "unitPriceBasis": "price per ping, excluding parking space price and area",
  "excludesSpecialRelations": true,
  "source": "Ministry of the Interior, Real Estate Actual Price Registration open data (內政部不動產成交案件實際資訊), plvr.land.moi.gov.tw",
  "sourceUrl": "https://plvr.land.moi.gov.tw/DownloadSeason?season=115S3&fileName=A_lvr_land_A.csv",
  "license": "Open Government Data License, version 1.0 (Taiwan)"
}

1 ping (坪) = 3.305785 m². id is stable (season-county-type-district-buildingType), so you can upsert rows into your own database.

Pricing

Suggested pay-per-event price: US$0.01 per output row (one district × building type), charged through the default dataset-item event, plus the standard Actor start event.

Use case	Rows	Cost
Default run (Taipei, sales, all building types, 1 quarter)	48	US$0.48
New Taipei + Taoyuan, high-rises, sale + pre-sale, 1 quarter	60	US$0.60
All 22 counties, sales, all types, 2026 Q3	899	US$8.99
Taipei, 4 quarters, all types (a year of history)	~190	~US$1.90

FAQ

What does "season" mean exactly? It is MOI's publication season: deals registered in that quarter. Most transactions happened in the same or previous quarter, but late registrations can be older; firstTransactionDate and lastTransactionDate show the real range.

Why do some rows have very few transactions? Small groups (e.g. a handful of townhouse deals in a city district) are kept by default for completeness. Set minTransactions to 5–10 for more stable medians.

How is the price per ping calculated? (total price − parking price) ÷ (building area − parking area) in ping, for each transaction, then aggregated. Deals with no building area are not priced (pricedCount can be lower than transactionCount).

Can I get the individual transactions? This Actor outputs statistics only (one row per district × building type), which keeps runs cheap and avoids handling address-level records.

Which counties are fastest? Each county/type/season is one CSV download of 0.5–3 MB; a single county runs in under 15 seconds, all 22 counties (sales, one quarter) in about 45 seconds.

Data source and license (資料來源與授權)

• 內政部不動產成交案件實際資訊資料供應系統 (Real Estate Actual Price Registration open data), season files: https://plvr.land.moi.gov.tw/DownloadOpenData
• Listed on the national open-data portal as 不動產買賣實價登錄批次資料, data.gov.tw dataset 25119: https://data.gov.tw/dataset/25119

Released under the Open Government Data License, version 1.0 (政府資料開放授權條款－第1版), which permits commercial use with attribution. Attribution:

內政部 2026 不動產成交案件實際資訊（實價登錄）。此開放資料依政府資料開放授權條款 (Open Government Data License) 進行公眾釋出，使用者於遵守本條款各項規定之前提下，得利用之。政府資料開放授權條款：https://data.gov.tw/license

The statistics are computed by this Actor from the official records; they are not official MOI statistics. This Actor is an independent tool by Waisuan and is not affiliated with or endorsed by the Ministry of the Interior.

繁體中文簡介

本 Actor 讀取內政部實價登錄開放資料（季別檔），自動排除純土地、純車位與特殊關係交易，扣除車位價格與面積後，計算每個「行政區 × 建物型態」的成交筆數、每坪單價中位數／平均／P25／P75、每平方公尺單價中位數、總價中位數與面積中位數。支援買賣、預售屋與租賃（租賃為每坪月租金）。預設輸出臺北市最新一季買賣的各區統計。建議價格：每列 US$0.01。資料採政府資料開放授權條款第 1 版，可商用，需標示出處；統計結果為本工具計算，非官方統計。