Real Estate
23 columns
203 rows
8 formats

PropTech Property Price Estimation

This dataset provides detailed synthetic records of real estate property features, sale prices, and transaction details, enabling advanced price prediction, market analysis, and investment decision-making. Each record includes comprehensive physical, locational, and transactional attributes, making it ideal for PropTech analytics and modeling.

last updated 21 Aug 2025
by GoMask

The brief that made it

Property price prediction modeling

Sample rows

preview · 8 of 203 rows · all 23 columns

property_idstring	property_typestring	bathroomsfloat	has_garageboolean	address_countrystring	sale_pricefloat	sale_datedate	year_builtinteger	bedroomsinteger	floor_area_sqftfloat	lot_size_sqftfloat	parking_spacesinteger	has_gardenboolean	has_poolboolean	address_streetstring	address_citystring	address_statestring	address_postal_codestring	listing_agentstring	listing_pricefloat	days_on_marketinteger	property_conditionstring	energy_ratingstring
APT_101_NYC	apartment	2	true	USA	950000	2021-03-15	2015	2	1100	blank	1	false	false	101 W 87th St	New York	NY	10024	Urban Realty NYC	980000	28	excellent	A
HS_202_TXA	house	2.5	true	USA	420000	2022-06-28	2004	4	2200	5400	2	true	false	202 Oakridge Dr	Austin	TX	78745	Lone Star Homes	430000	36	good	B
CD_301_LON	condo	1.5	false	UK	755000	2023-01-13	2018	2	980	blank	0	false	false	301 Knightsbridge	London	England	SW7 1AA	London Living Estates	799000	42	excellent	A
TH_115_ATL	townhouse	3	true	USA	650000	2021-09-05	2012	3	1600	2900	2	true	false	115 Peachtree Ln	Atlanta	GA	30309	Peachtree Realty	665000	34	good	B
ST_031_TKO	studio	1	false	Japan	124000	2022-12-08	2017	0	320	blank	0	false	false	31 Minato Ave	Tokyo	Tokyo Prefecture	105-0011	Nippon Homes	130000	11	new	D
VL_005_DUB	villa	9	true	UAE	3400000	2021-07-23	2019	8	10500	21000	8	true	true	5 Palm Jumeirah	Dubai	Dubai	00000	Prestige Estates Dubai	3700000	88	excellent	A
APT_212_CHI	apartment	1	false	USA	435000	2022-04-01	2001	1	740	blank	0	false	false	212 N Clark St	Chicago	IL	60601	Windy City Brokers	445000	21	good	B
HS_113_SYD	house	3	true	Australia	1230000	2023-03-20	2010	5	3500	8700	3	true	true	113 Bondi Rd	Sydney	NSW	2026	Sydney Elite Homes	1295000	77	excellent	A
CD_222_SNG	condo	2	true	Singapore	1220000	2024-04-11	2021	3	1300	blank	1	false	true	222 Orchard Rd	Singapore	Central Region	238885	Orchard Realty	1250000	19	new	A
ST_041_BER	studio	1	false	Germany	98000	2022-02-18	1971	0	210	blank	0	false	false	41 Alexanderplatz	Berlin	Berlin	10178	blank	99000	5	fair	E
HS_198_YORK	house	1	false	UK	115000	2023-07-12	1898	1	600	1100	0	true	false	198 Bootham	York	England	YO30 7BZ	York Heritage Homes	125000	178	needs renovation	F
VL_013_MAD	villa	7.5	true	Spain	2950000	2022-05-09	2018	7	9000	18000	7	true	true	13 Paseo de la Castellana	Madrid	Madrid	28046	Madrid Luxury Villas	3150000	104	excellent	A
TH_119_MXCD	townhouse	2.5	true	Mexico	380000	2021-10-16	2009	4	1490	3200	2	true	false	119 Av. Reforma	Mexico City	CDMX	06600	Casas Reforma	395000	49	good	B
CD_312_TOR	condo	2	true	Canada	899000	2023-11-17	2016	2	1200	blank	1	false	false	312 King St W	Toronto	Ontario	M5V 1J2	Toronto Condo Group	915000	23	excellent	A
DP_110_JHB	duplex	2	true	South Africa	520000	2022-11-02	2002	3	1400	3400	2	true	false	110 Melrose Rd	Johannesburg	Gauteng	2196	JHB Duplexes	530000	50	good	C
HS_201_FLOR	house	2.5	true	USA	639000	2023-05-06	2018	3	1680	4300	2	true	true	201 Palm Ave	Miami	FL	33139	Miami Properties	649000	29	new	A
ST_077_SYD	studio	1	false	Australia	144000	2021-12-18	2014	0	420	blank	0	false	false	77 Pitt St	Sydney	NSW	2000	Sydney Micro Homes	150000	9	good	E
VL_022_CPT	villa	12	true	South Africa	5900000	2024-01-21	2021	10	20000	50000	10	true	true	22 Ocean View Dr	Cape Town	Western Cape	8001	Cape Luxury Estates	6500000	365	excellent	A
CD_415_BCN	condo	2	false	Spain	710000	2022-09-14	2015	2	980	blank	1	false	false	415 Avinguda Diagonal	Barcelona	Catalonia	08007	BCN Condos	715000	41	good	B
DP_201_TEST	duplex	3	true	Testland	350000	2024-03-08	1998	4	1650	4300	2	true	false	201 Testlane	Testville	Testland	TST123	Testland Realty	355000	58	fair	D

What the 203 rows show

from the 203-row sample

Villa (property type) stands out: mean bathrooms is 9.5, against 2.1 for the rest.

60%has_garage = true
2.0median bathrooms
5property conditions
7energy ratings
52address states
53address cities

Mean bathrooms by property_type203 rows

bathrooms203 rows, in bands of 2

Median 2.0, from 1.0 to 12.0.

address_country203 rows · top 10 of 21 values

USA57
Spain21
UK20
Australia19
Singapore12
Germany11
UAE10
Canada10
South Africa10
Japan8

23 columns by typefrom the column list below

string 10
integer 4
float 5
date 1
boolean 3

Columns

23 columns in four groups

blueprint · 23 columns
column	type	description	example
Text 10 columns
`property_id`	string	Unique identifier for each property recordunique	APT_101_NYC
`property_type`	string	Type of property (e.g., apartment, house, condo, townhouse)7 values	apartment
`address_street`	string	Street address of the property	101 W 87th St
`address_city`	string	City where the property is located	New York
`address_state`	string	State or region where the property is located	NY
`address_postal_code`	string	Postal or ZIP code of the property location	10024
`address_country`	string	Country where the property is located	USA
`listing_agent`	string	Name of the agent or agency that listed the propertyoptional	Urban Realty NYC
`property_condition`	string	General condition of the property (e.g., new, good, needs renovation)new · excellent · good · fair · needs renovation · optional	excellent
`energy_rating`	string	Energy efficiency rating of the property (e.g., A, B, C, D, E, F, G)7 values · optional	A
Numbers 9 columns
`sale_price`	float	Final sale price of the property in local currency0 or more	950000
`year_built`	integer	Year the property was originally built1,800 to 2,024	2015
`bedrooms`	integer	Number of bedrooms in the property0 to 20	2
`bathrooms`	float	Number of bathrooms in the property (can be fractional)0 to 20	2
`floor_area_sqft`	float	Total interior floor area in square feet100 or more	1100
`lot_size_sqft`	float	Total lot size in square feet0 or more · optional	5400
`parking_spaces`	integer	Number of dedicated parking spaces0 to 10 · optional	1
`listing_price`	float	Original listing price before sale0 or more · optional	980000
`days_on_market`	integer	Number of days the property was listed before sale0 or more · optional	28
Dates and times 1 column
`sale_date`	date	Date the property was sold	2021-03-15
True or false 3 columns
`has_garage`	boolean	Indicates if the property includes a garageoptional	true
`has_garden`	boolean	Indicates if the property includes a garden or yardoptional	false
`has_pool`	boolean	Indicates if the property includes a swimming pooloptional	false

Use it for

A real estate dashboard
The has_garage rate, bathrooms by property_type and a breakdown of address_country. Excel, Power BI or Tableau.
Why do the 27 villa rows have a mean bathrooms of 9.5?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Properties203
APT_101_NYC2apartment
HS_202_TXA2.5house
CD_301_LON1.5condo
A software demo
Believable properties with sale_price, sale_date and property_type to fill a screen in front of a buyer.

This dataset203 rows23 columns

Yours1,000 rows23 columnsaddress_street: UK only

blueprint · proptech-property-price-estimation

Behind this dataset

Same schema. As many rows as you need.

These 203 rows came out of a blueprint — 23 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

Property type: house, condo, apartment
Price range $50K-$2.5M by area
Features: bedrooms, bathrooms, sqft
Sale date randomized within last 2 years

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

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

What should your data show?

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Sample rows

What the 203 rows show

Columns

Use it for

A real estate dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Real Estate

What should your data show?