Real Estate
25 columns
200 rows
8 formats

Home Sale Price Prediction Data

This dataset provides detailed records of home sales, including property features, sale prices, location details, market trends, and local amenities. It is ideal for building predictive models, analyzing real estate market dynamics, and supporting PropTech innovation in price estimation and investment analysis.

last updated 20 Aug 2025
by GoMask

The brief that made it

Home sale price prediction and automated valuation models

Sample rows

preview · 8 of 200 rows · all 25 columns

property_idstring	property_conditionstring	school_ratingfloat	has_garageboolean	address_citystring	sale_pricefloat	sale_datedate	listing_datedate	property_typestring	bedroomsinteger	bathroomsfloat	square_feetinteger	lot_sizefloat	year_builtinteger	parking_spacesinteger	has_poolboolean	address_streetstring	address_statestring	address_postal_codestring	address_countrystring	listing_agent_idstring	hoa_feefloat	market_trend_indexfloat	walk_scoreinteger	public_transit_scoreinteger
P001	Good	7.2	true	Aurora	425000	2023-05-18	2023-02-10	Single Family	3	2.5	1980	0.2	1987	2	false	1427 Willow Ave	IL	60506	USA	AGT1001	blank	118.3	54	38
P002	New	8.3	true	Boston	1215000	2024-02-28	2023-11-14	Condo	2	2	1284	blank	2018	1	false	300 Main St	MA	02118	USA	AGT1012	310	142.7	95	88
P003	Excellent	8.7	true	Charlotte	625000	2024-03-12	2023-08-05	Townhouse	3	2.5	1560	0.05	2004	1	false	19 Maple Lane	NC	28205	USA	AGT1020	120	126.1	68	56
P004	Excellent	8.9	true	Raleigh	780000	2022-11-04	2022-07-12	Single Family	4	3	2340	0.3	2000	2	true	210 Oakridge Dr	NC	27609	USA	AGT1022	blank	133.3	61	45
P005	Good	8.1	false	Salt Lake City	560000	2023-07-16	2023-03-15	Townhouse	2	2	1380	0.04	1995	1	false	1047 Cedar Ct	UT	84111	USA	AGT1005	98	117.2	75	56
P006	New	9.2	true	Denver	985000	2023-09-22	2023-05-01	Single Family	5	3.5	3400	0.35	2015	3	true	890 Pine Meadow Rd	CO	80221	USA	AGT1009	blank	147.9	70	60
P007	New	9.7	true	Beverly Hills	6950000	2023-06-14	2023-01-03	Multi-Family	8	10	11200	2.7	2020	10	true	28 Suncrest Dr	CA	90210	USA	blank	blank	188.2	22	14
P008	Other	3.2	false	Bliss	132000	2023-10-23	blank	Land	0	0	0	3.1	blank	0	false	9986 Country Rd	ID	83314	USA	blank	blank	84.9	4	0
P009	Good	8.4	false	Vancouver	855000	2022-12-17	2022-08-09	Condo	1	1.5	940	blank	2012	1	false	500 W 12th Ave	BC	V5Z 1M2	Canada	AGT1017	185	129.6	97	93
P010	Fair	6.9	false	Stowe	265000	2023-08-02	2023-03-05	Townhouse	2	2	1220	0.03	1988	1	false	2339 Glenview Dr	VT	05672	USA	AGT1019	55	104.2	37	22
P011	Good	7.7	true	Boise	412000	2024-01-10	2023-09-02	Single Family	3	2	1790	0.23	1992	2	false	6159 Winding Way	ID	83705	USA	AGT1007	blank	114.1	46	30
P012	New	9.1	true	Toronto	1380000	2024-03-28	2023-12-10	Apartment	3	2.5	1435	blank	2021	1	true	1500 King St W	ON	M6K 1J5	Canada	AGT1026	410	151.4	99	98
P013	Excellent	8.6	true	Charlotte	715000	2024-04-05	2023-11-15	Single Family	4	3	2100	0.27	2007	2	false	7621 Birchwood Cir	NC	28210	USA	AGT1029	blank	137.8	65	42
P014	Other	2.7	false	Stowe	56500	2023-07-11	blank	Land	0	0	0	2.7	blank	0	false	4209 Route 7	VT	05672	USA	blank	blank	70.3	2	0
P015	New	9.5	true	Aurora	875000	2023-12-08	2023-08-03	Single Family	5	3.5	3120	0.32	2019	3	true	8409 Chestnut Dr	CO	80012	USA	AGT1006	blank	145.6	68	57
P016	Excellent	8.8	true	Toronto	637000	2023-08-24	2023-04-22	Townhouse	3	2.5	1620	0.06	2010	2	false	2710 Pinecrest Rd	ON	M2N 4N8	Canada	AGT1014	164	132.1	80	72
P017	Excellent	8.9	true	San Francisco	1125000	2024-02-03	2023-10-07	Condo	2	2	1180	blank	2017	1	false	222 Sutter St	CA	94108	USA	AGT1023	335	140.2	98	90
P018	Good	7.6	true	Raleigh	540000	2023-09-11	2023-06-04	Single Family	3	2	1670	0.21	1981	2	false	860 Elmwood Dr	NC	27615	USA	AGT1008	blank	119.8	59	44
P019	Excellent	10	true	Atherton	13250000	2023-05-27	2023-01-10	Multi-Family	12	15	21000	3.5	2008	12	true	1 Atherton Ct	CA	94027	USA	blank	blank	193.2	28	18
P020	New	9.4	true	Aurora	895000	2023-11-16	2023-07-22	Single Family	5	3.5	3250	0.43	2016	3	true	1202 Red Maple Ave	CO	80013	USA	AGT1027	blank	143.8	71	59

What the 200 rows show

from the 200-row sample

Other (property condition) stands out: mean school_rating is 3.3, against 8.4 for the rest.

66%has_garage = true
8.3median school_rating
2address countries
7property types
12address states
753,250median sale_price

Mean school_rating by property_condition200 rows

school_rating200 rows, in bands of 1

Median 8.3, from 2.1 to 10.0.

address_city200 rows · top 10 of 17 values

Aurora27
Toronto25
Charlotte21
Bliss19
Boise19
Vancouver18
Stowe13
Salt Lake City11
Raleigh9
San Francisco9

25 columns by typefrom the column list below

string 9
integer 6
float 6
date 2
boolean 2

Columns

25 columns in four groups

blueprint · 25 columns
column	type	description	example
Text 9 columns
`property_id`	string	Unique identifier for each property listingunique	P001
`property_type`	string	Type of property (e.g., Single Family, Condo, Townhouse, Apartment)7 values	Single Family
`address_street`	string	Street address of the property	1427 Willow Ave
`address_city`	string	City where the property is located	Aurora
`address_state`	string	State or province where the property is located12 states	IL
`address_postal_code`	string	Postal or ZIP code of the property	60506
`address_country`	string	Country where the property is located2 countries	USA
`listing_agent_id`	string	Unique identifier for the listing agentoptional	AGT1001
`property_condition`	string	Condition of the property at sale (e.g., New, Good, Needs Renovation)6 values · optional	Good
Numbers 12 columns
`sale_price`	float	Final sale price of the property in local currency0 or more	425000
`bedrooms`	integer	Number of bedrooms in the property0 or more	3
`bathrooms`	float	Number of bathrooms in the property (can be fractional)0 or more	2.5
`square_feet`	integer	Total interior living area in square feet0 or more	1980
`lot_size`	float	Lot size in acres0 or more · optional	0.2
`year_built`	integer	Year the property was originally built1,800 to 2,100 · optional	1987
`parking_spaces`	integer	Number of dedicated parking spaces0 or more · optional	2
`hoa_fee`	float	Monthly Homeowners Association fee (if applicable)0 or more · optional	310
`market_trend_index`	float	Market trend index value at the time of sale for the property's areaoptional	118.3
`school_rating`	float	Average rating of nearby schools (0-10 scale)0 to 10 · optional	7.2
`walk_score`	integer	Walkability score of the property's location (0-100 scale)0 to 100 · optional	54
`public_transit_score`	integer	Public transit accessibility score (0-100 scale)0 to 100 · optional	38
Dates and times 2 columns
`sale_date`	date	Date when the property was sold	2023-05-18
`listing_date`	date	Date when the property was listed for saleoptional	2023-02-10
True or false 2 columns
`has_garage`	boolean	Indicates if the property has a garageoptional	true
`has_pool`	boolean	Indicates if the property has a swimming pooloptional	false

Use it for

A real estate dashboard
The has_garage rate, school_rating by property_condition and a breakdown of address_city. Excel, Power BI or Tableau.
Why do the 31 Other rows have a mean school_rating of 3.3?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Properties200
P0017.2Good
P0028.3New
P0058.1Good
A software demo
Believable properties with sale_price, sale_date and listing_date to fill a screen in front of a buyer.

This dataset200 rows25 columns

Yours1,000 rows25 columnsaddress_street: UK only

blueprint · home-sale-price-prediction-data

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 25 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

Include property features and sale dates
Record actual sale price
Flag outlier price changes
Exclude non-residential properties

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: home-sale-price-prediction-data

What should your data show?

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Sample rows

What the 200 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?