Data Coverage

Field Coverage

Coverage is the share of properties for which a given field is populated. It measures how complete the underlying data is — not every property has every attribute on record. Use this to know what to expect from each endpoint before you build against it.

90%+ 60–90% 30–60% < 30%

Measured 2026-07-10. Postgres tables are estimated from a random sample of ~200K rows; the valuation set is counted exactly over the latest daily snapshot.

Total Properties

145,535,221 properties

Every property on record, broken down by type.

Property TypePropertiesShare
Single Family93,001,735
63.9%
Condo11,213,724
7.7%
Townhouse5,460,556
3.8%
Others (land, multi-family, etc.)35,859,206
24.6%

Field Coverage by Endpoint

/api/v1/properties/valuation

Property Valuation (AVM)

value
100.0%
value_low / value_high / fsd
100.0%
confidence_score
100.0%
confidence
100.0%
county_assessment_adjustment
100.0%
/api/v1/properties/profile/core

Core Property Profile

street
96.2%
city
99.9%
state
100.0%
zipcode
99.9%
longitude
99.9%
latitude
99.9%
beds
62.7%
baths
67.4%
sqft
71.7%
yearBuilt
73.0%
lotSize
81.9%
propertyType
100.0%
Subdivision
96.7%
apn
92.4%
schools
98.6%
/api/v1/properties/profile/detail

Detailed Property Profile

street
96.1%
city
99.9%
state
100.0%
zipcode
99.9%
longitude
99.9%
latitude
99.9%
beds
62.5%
baths
67.1%
sqft
71.6%
yearBuilt
73.2%
lotSize
82.1%
propertyType
100.0%
location(subdivision)
35.7%
apn
92.5%
above_grade_finished_area
6.5%
below_grade_finished_area
3.0%
below_grade_unfinished_area
0.1%
zoning_code
22.1%
legal_description
45.8%
garage_count
11.7%
garage_parking_sqft
18.0%
garage_carport_type
17.0%
stories
58.9%
stories_type
13.4%
sewer_type
22.4%
sewer_type_2
8.6%
water_service_type
9.0%
water_source
24.5%
roof_type
20.5%
roof_shape_type
14.6%
roof_covering_type
6.0%
heating_type
44.8%
heating_source
11.1%
cooling
17.3%
air_conditioning_type
16.2%
flooring_type
19.7%
foundation_type
14.3%
foundation_details
12.7%
building_style_type
13.4%
exterior_wall
26.2%
levels
12.5%
utilities
14.2%
basement_type
9.1%
construction_type
8.8%
construction_material
20.3%
building_construction_quality
12.9%
appliances
23.7%
exterior_features
15.2%
lot_features
18.4%
parking_features
17.3%
interior_features
16.9%
patio_and_porch_features
12.4%
basement_features
10.9%
window_features
9.3%
laundry_features
9.4%
fireplace_features
9.8%
community_features
8.0%
pool_features
5.9%
front_footage
15.2%
depth_footage
14.4%
property_sub_type
16.4%
hoa_fee
10.4%
hoa_freq
8.2%
fips
99.6%
marketing_remarks
43.0%
sold_date
58.8%
listing_agents
99.8%
bounds
96.2%
sold_history_ts
99.8%
tax_history_ts
99.8%
/api/v1/properties/comparables

Comparable Sales

address
99.2%
streetline
100.0%
price
96.9%
beds
92.6%
baths
92.0%
lotsize
87.9%
sqft
87.7%
hoa
38.6%
city
99.4%
state
100.0%
zip
99.9%
propertytype
100.0%
yearbuilt
90.3%
sold_year
100.0%
sold_month
100.0%
latitude
100.0%
longitude
100.0%
price_per_sqft
85.1%
top_high_school
39.9%
top_middle_school
38.6%
top_elementary_school
36.9%
top_high_school_rating
39.8%
top_middle_school_rating
38.4%
top_elementary_school_rating
36.5%
Accuracy Benchmark
/api/v1/analytics/market

Market Timeseries — Agreement with NAR

Market indicators (active/new/pending/total listings, price, days on market) are benchmarked against NAR / Realtor.com official metrics over Nov 2025 – Apr 2026 (6 months). Median absolute error is the median absolute % difference between our series and NAR's, taken over every matched state × month pair — lower is better.

State: 306 matched state-months across 51 geographies.

MetricMedian absolute error
Active Listingsactive_listings4.8%
New Listingsnew_listings9.1%
Pending Listingspending_sales5.2%
Total Listingstotal_listing_count5.0%
Median Listing Pricemedian_listing_price1.5%
Median Days on Marketmedian_dom3.5%
Median Price / SqFtmedian_listing_ppsf1.3%
Median SqFtmedian_sqft1.3%