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FINANCE · TAIWAN OPEN DATA

Taiwan real-estate price analyzer

Filter official transaction data by city, district and building type. Compare the median and average price per ping, transaction totals and recent price movement without uploading personal information.

Official open data · refreshed on deploy Loading data…

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Median price / ping——
Average price / ping—Use the median first when outliers are present
Median total price—Parking price follows source-record treatment
Median floor area—Converted from square metres
Transactions—For the latest month shown
Change vs previous month—Only when both months have observations
Want to estimate cash needed next?

Use the latest median total price for the selected filters as a starting point. You can edit the price after opening the calculator.

PRICE TREND

Median price per ping trend

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The line uses transaction month, not the date the record was published. Months with no qualifying records are not interpolated.

MONTHLY DETAIL

Monthly summary

Month Transactions Median / ping Average / ping Median total Median area
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How the numbers are prepared

1. Official source

The deployment job downloads Ministry of the Interior real-estate transaction CSV archives over HTTPS and validates that the response is a ZIP before parsing it.

2. Comparable home sales

Rows need a valid district, transaction date, building floor area, total price and unit price. Land-only and parking-only rows, invalid prices, and rows with special remarks are excluded from this summary.

3. Median first

Median price per ping is the headline metric because it is less sensitive to a few unusually high or low transactions. The average is shown alongside it for context.

Important limitations before using this analysis
  • Real-price registration is reported data. A transaction can appear later than its actual transaction date, and historical records can be corrected or added later.
  • This is a statistical summary, not an appraisal. Floor, orientation, parking, building age, condition, community, street location and special transaction terms can create large price differences.
  • A small sample can move sharply from month to month. Always check the transaction count before interpreting a price change.
  • The official dynamic query service remains the authority for the latest record state; AmpCub shows a periodically refreshed static summary for convenient comparison.