Property Listing Price History

This dataset provides a comprehensive record of property listing price changes over time, including detailed property attributes, location information, and event types for each price change. It enables in-depth analysis of real estate market dynamics, pricing strategies, and property value trends across regions and property types.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Analyzing property price trends and market cycles

Sample rows

preview · 8 of 90 rows · all 18 columns
listing_idstringproperty_typestringbedroomsintegeraddress_countrystringproperty_idstringprice_history_idstringpricefloatcurrencystringprice_change_datedatetimeprice_change_typestringagent_idstringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringbathroomsfloatsquare_feetintegerlisting_statusstring
LIST10001single_family4USAPROP20001PH0001475000USD2023-04-03T10:15:00initial_listingAGT001123 Oak Ridge DrDenverCO802203.52650active
LIST10001single_family4USAPROP20001PH0002470000USD2023-05-01T10:30:00price_decreaseAGT001123 Oak Ridge DrDenverCO802203.52650active
LIST10001single_family4USAPROP20001PH0003465000USD2023-06-02T14:50:00price_decreaseAGT001123 Oak Ridge DrDenverCO802203.52650pending
LIST10002townhouse3USAPROP20002PH0004950000USD2023-03-15T09:00:00initial_listingAGT00288 Maple StSan FranciscoCA9411021820active
LIST10002townhouse3USAPROP20002PH0005975000USD2023-04-10T12:20:00price_increaseAGT00288 Maple StSan FranciscoCA9411021820active
LIST10002townhouse3USAPROP20002PH0006950000USD2023-06-15T16:40:00price_decreaseAGT00288 Maple StSan FranciscoCA9411021820pending
LIST10003condo2USAPROP20003PH0007315000USD2023-07-10T11:05:00initial_listingAGT003159 Cedar AveAustinTX787041920active
LIST10003condo2USAPROP20003PH0008315000USD2023-08-05T13:25:00relistedAGT003159 Cedar AveAustinTX787041920active

What the 90 rows show

from the 90-row sample

Single_family (property type) stands out: mean bedrooms is 4.0, against 1.7 for the rest.

  • 2median bedrooms
  • 4currencies
  • 4listing statuses
  • 5price change types
  • 467,500median price
  • 1.5median bathrooms
Mean bedrooms by property_type90 rows
0244.0sing…22 ro…2.1condo14 ro…2.9town…16 ro…1.6apar…25 ro…0.0land2 rows0.0comm…7 rows0.0other4 rows
bedrooms90 rows, in bands of 1
0153013152419145036bedrooms →

Median 2, from 0 to 6.

address_country90 rows · 10 values
  1. USA38
  2. United Kingdom15
  3. France11
  4. Ireland9
  5. Germany8
  6. CAN3
  7. FRA2
  8. GBR2
  9. ESP1
  10. Canada1
18 columns by typefrom the column list below
  • string 13
  • integer 2
  • float 2
  • datetime 1

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 13 columns
listing_idstringUnique identifier for the property listing. Remains constant for the same property across all price history records.LIST10001
property_idstringUnique identifier for the property itself. Used to group multiple listings of the same property.PROP20001
price_history_idstringUnique identifier for each price history record.uniquePH0001
currencystringCurrency code for the listing price (e.g., USD, EUR, GBP).4 currenciesUSD
price_change_typestringType of price change event (e.g., initial_listing, price_increase, price_decrease, relisted, withdrawn).5 valuesinitial_listing
agent_idstringIdentifier for the listing agent or agency responsible for the price change.optionalAGT001
address_streetstringStreet address of the property.123 Oak Ridge Dr
address_citystringCity where the property is located.Denver
address_statestringState or region where the property is located.CO
address_postal_codestringPostal or ZIP code of the property.80220
address_countrystringCountry where the property is located.10 countriesUSA
property_typestringType of property (e.g., single_family, condo, townhouse, apartment, land, commercial).7 values · optionalsingle_family
listing_statusstringCurrent status of the listing (e.g., active, pending, sold, withdrawn, expired).active · pending · sold · withdrawn · expired · optionalactive
Numbers 4 columns
pricefloatListing price of the property at the time of the record.0 or more475000
bedroomsintegerNumber of bedrooms in the property.0 or more · optional4
bathroomsfloatNumber of bathrooms in the property (can be fractional, e.g., 1.5).0 or more · optional3.5
square_feetintegerTotal living area of the property in square feet.0 or more · optional2650
Dates and times 1 column
price_change_datedatetimeDate and time when the price was changed or recorded.2023-04-03T10:15:00

Use it for

  • median bedrooms290 rowsmean bedrooms by prop…4.0sing…2.1condo2.9town…1.6apar…

    A real estate dashboard

    Bedrooms by property_type and a breakdown of address_country. Excel, Power BI or Tableau.

  • Why do the 22 single_family rows have a mean bedrooms of 4.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable listings with property_id, price_history_id and price to fill a screen in front of a buyer.

Not quite right?

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This dataset90 rows18 columns
Yours10,000 rows18 columnsaddress_street: UK only

blueprint · property-listing-price-history

Behind this dataset

Same schema. As many rows as you need.

These 90 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Record initial and updated prices with dates
  • Capture property type and size
  • Flag properties with >3 price changes
  • Include neighborhood and listing agent
  • Mark listings sold within 30 days
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
property-listing-price-history

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