How accurate is the label?

Every score on this site is inferred from public data. This page measures how often that inference matches what the assessing authority recorded for the same building — the only check that asks whether the output describes the world rather than whether the code does what it says.

How to read it. Baseline is what the label infers everywhere: a modeled structure record plus the census tract's year-built distribution. With assessor adds an observed record from the assessing authority where one resolves. The number that matters is the last table in each section — a year-built error that moves no letter is not a defect anyone can see; one that crosses a code-era boundary is.

Each adapter is measured against its own assessor, and the sections are not comparable to each other — different housing stock, different record-keeping, different sample.

At a glance

WhereHomes scored
of drawn
Answered by the assessorWrong parcel Year built exact
baseline → w/ assessor
Building grade differs
baseline → w/ assessor
Reference
Cook County, Illinois297 of 30076.7%01.0% → 77.8%27.9% → 7.1%independent
Washington, DC195 of 20083.8%01.5% → 85.6%56.4% → 8.2%independent
Washington, DC — condominiums187 of 20097.4%02.1% → 99.5%65.8% → 19.8%independent
Allegheny County, Pennsylvania189 of 20081.2%02.1% → 82.5%40.7% → 9.5%adapter’s own read
California — Contra Costa, San Joaquin and Riverside Counties182 of 20089.7%05.5% → 91.8%36.3% → 3.3%adapter’s own read
Colorado (Denver metro)190 of 20087.2%04.2% → 90.0%38.9% → 3.2%adapter’s own read
Connecticut168 of 20070.2%02.4% → 72.0%55.4% → 17.9%adapter’s own read
Florida169 of 20364.0%03.0% → 69.8%32.5% → 8.9%adapter’s own read
Georgia — Fulton, Clayton, Chatham and Forsyth counties158 of 20077.0%03.8% → 81.0%43.0% → 10.1%adapter’s own read
Indiana (Vanderburgh County)197 of 20088.5%00.5% → 89.8%39.6% → 4.6%adapter’s own read
Los Angeles County, California173 of 20089.3%03.5% → 91.9%39.3% → 3.5%adapter’s own read
Maryland192 of 20078.4%03.1% → 81.8%53.1% → 12.0%adapter’s own read
Massachusetts185 of 20081.1%01.6% → 83.2%38.9% → 8.1%adapter’s own read
Minnesota (Twin Cities metro)190 of 20081.7%01.1% → 84.7%30.0% → 5.3%adapter’s own read
Missouri (Jackson County)196 of 20078.8%02.0% → 80.6%28.1% → 5.1%adapter’s own read
New Jersey181 of 20075.1%02.2% → 77.3%43.1% → 15.5%adapter’s own read
New York City198 of 20096.0%02.5% → 97.0%30.3% → 0.5%adapter’s own read
New York State (outside New York City)131 of 20066.7%01.5% → 71.0%44.3% → 16.8%adapter’s own read
North Carolina — 46 counties185 of 20071.9%02.7% → 74.6%50.8% → 13.5%adapter’s own read
Ohio (nine counties)188 of 20083.5%01.1% → 86.7%36.2% → 5.3%adapter’s own read
Pennsylvania (four counties)192 of 20076.5%03.1% → 81.2%54.7% → 8.9%adapter’s own read
Philadelphia, Pennsylvania197 of 20084.9%01.0% → 86.3%35.0% → 8.1%adapter’s own read
Portland metro, Oregon (Multnomah, Washington, Clackamas)179 of 20084.9%05.0% → 92.2%53.1% → 4.5%adapter’s own read
San Francisco, California184 of 20097.8%03.8% → 97.8%22.8% → 0.5%adapter’s own read
Southeast Michigan (SEMCOG's seven counties)190 of 20096.3%05.3% → 96.8%27.4% → 1.6%adapter’s own read
Texas (twelve largest-county appraisal districts)190 of 20082.7%06.8% → 85.8%29.5% → 2.6%adapter’s own read
Utah164 of 20075.3%03.7% → 86.0%47.0% → 8.5%adapter’s own read
Virginia — Chesterfield County and the City of Richmond190 of 20082.3%01.6% → 85.8%48.4% → 8.9%adapter’s own read

Building grade differs is the share of homes whose building letter, as a reader would see it, is not the letter the reference record gives — lower is better. A home drawn but not scored (no address, no year built, or not readable even at its own parcel) is outside every rate in its row; each section's method note says why. Wrong parcel counts answers that came from a different lot than the one asked about; they are scored as errors in every rate. Reference says what each row was graded against: independent references are built from the assessor's tables by this page's own mapping, and adapter's own read is the county's record as the adapter reads it at the parcel itself. They are not the same test: see what this does and does not establish.

Cook County, Illinois

Method. 300 addresses sampled across Cook County Assessor (Open Data) (assessment year 2026, fetched 2026-08-27); a further 3 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: all residential improvement records. Each is scored from the address alone, with no construction details supplied, and compared against that jurisdiction's own assessor record.

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.0%77.8%15.00.0297
sqft100.0%100.0%25.9%82.5%170.50.0166
stories77.8%95.1%61.7%93.5%0.00.0225
construction100.0%100.0%45.2%87.8%——294
foundation100.0%100.0%47.5%87.5%——297
condition100.0%100.0%99.7%100.0%——297

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 23.9% of the time at baseline and 82.5% with the assessor; within ±10 years 39.7% and 87.2%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability30.0%5.7%297
energy30.6%5.7%297
resilience1.7%0.3%297
environmental28.3%7.4%297
building_axis27.9%7.1%297

Assessor lookups resolved for 76.7% of the sample. 95% confidence interval 71.6–81.1% for the draw, and 75.3–79.0% observed across 3 scorings of these same rows. The second range is not sampling error: it is the same addresses scored again. Every upstream failure here fails open, so a portal having a bad minute is indistinguishable from a county with no record, and it removes rows from the numerator silently. Drawn uniform random offsets without replacement, seed 20260827 · Benchmark digest 7499209a5504c300.

Washington, DC

Method. 198 addresses sampled across DC Office of Tax and Revenue (Open Data) (assessment year current, fetched 2026-08-27); a further 3 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: non-condominium homes only (condos are ~36% of DC's CAMA stock). Drawn from 200 assessor rows; 1 was not in the parcel layer, 1 had no address on file. Each is scored from the address alone, with no construction details supplied, and compared against that jurisdiction's own assessor record.

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.5%85.6%19.00.0195
sqft100.0%100.0%16.0%92.0%337.00.050
stories66.7%95.1%55.6%94.2%0.00.0162
construction100.0%100.0%48.7%92.1%——189
foundation——————0
condition100.0%100.0%40.5%90.8%——195

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 16.9% of the time at baseline and 87.7% with the assessor; within ±10 years 29.2% and 89.7%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability60.0%7.2%195
energy21.0%5.6%195
resilience5.1%1.0%195
environmental24.1%4.1%195
building_axis56.4%8.2%195

Assessor lookups resolved for 83.8% of the sample. 95% confidence interval 78.1–88.3% for the draw, and 73.2–84.8% observed across 3 scorings of these same rows. The second range is not sampling error: it is the same addresses scored again. Every upstream failure here fails open, so a portal having a bad minute is indistinguishable from a county with no record, and it removes rows from the numerator silently. Drawn uniform random offsets without replacement, seed 20260827 · Benchmark digest 8a8d008b3dffaa70.

Washington, DC — condominiums

Method. 190 addresses sampled across DC Office of Tax and Revenue (Open Data) (assessment year current, fetched 2026-08-27); a further 3 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: condominium units only (61,329 of DC's 170,602 CAMA records). Drawn from 200 assessor rows; 9 had no active unit record to place them, 1 had no usable year built. Each is scored from the address alone, with no construction details supplied, and compared against that jurisdiction's own assessor record.

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.1%99.5%22.00.0187
sqft100.0%100.0%0.0%11.8%402.1245.6187
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 12.8% of the time at baseline and 99.5% with the assessor; within ±10 years 29.4% and 99.5%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability40.6%0.5%187
energy44.9%14.4%187
resilience15.5%0.0%187
environmental42.8%23.0%187
building_axis65.8%19.8%187

Assessor lookups resolved for 97.4% of the sample. 95% confidence interval 94.0–98.9% for the draw, and 95.8–97.9% observed across 3 scorings of these same rows. The second range is not sampling error: it is the same addresses scored again. Every upstream failure here fails open, so a portal having a bad minute is indistinguishable from a county with no record, and it removes rows from the numerator silently. Drawn uniform random offsets without replacement, seed 20260827 · Benchmark digest d00857703ef166cb.

Allegheny County, Pennsylvania

Method. 191 addresses sampled across Allegheny County Office of Property Assessments (WPRDC) (assessment year 2026, fetched 2026-10-04); a further 2 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: roll records with a dwelling land use (houses, townhouses, rowhouses, condominium units, two- to four-family, apartments, farms), placed on the county parcel layer. Drawn from 200 assessor rows; 5 could not be fetched from the source when drawn, 4 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.1%82.5%17.00.0189
sqft100.0%100.0%26.6%80.6%195.00.0139
stories89.9%99.3%70.7%93.9%0.00.0148
construction100.0%100.0%66.0%91.5%——188
foundation100.0%100.0%82.9%98.9%——175
condition100.0%100.0%72.5%93.7%——189

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 24.3% of the time at baseline and 88.4% with the assessor; within ±10 years 40.2% and 93.7%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability28.6%5.3%189
energy30.7%5.3%189
resilience0.0%0.0%189
environmental22.2%6.9%189
building_axis40.7%9.5%189

Assessor lookups resolved for 81.2% of the sample. 95% confidence interval 75.0–86.1% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 6f3447cdb24a07b2.

California — Contra Costa, San Joaquin and Riverside Counties

Method. 185 addresses sampled across Contra Costa, San Joaquin and Riverside County Assessors (assessment year current, fetched 2026-10-04); a further 3 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels and condominium units in the three counties, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 7 had no site address on file, 8 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%5.5%91.8%7.00.0182
sqft100.0%100.0%44.2%90.7%142.00.086
stories54.9%95.9%89.6%99.1%0.00.0122
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 41.2% of the time at baseline and 95.6% with the assessor; within ±10 years 64.3% and 97.3%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability29.7%1.6%182
energy17.0%1.1%182
resilience6.6%1.1%182
environmental12.6%1.1%182
building_axis36.3%3.3%182

Assessor lookups resolved for 89.7% of the sample. 95% confidence interval 84.5–93.3% for the draw, and 83.8–90.8% observed across 3 scorings of these same rows. The second range is not sampling error: it is the same addresses scored again. Every upstream failure here fails open, so a portal having a bad minute is indistinguishable from a county with no record, and it removes rows from the numerator silently. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest a2d67083da00a94e.

Colorado (Denver metro)

Method. 196 addresses sampled across Denver, Jefferson, Adams, Douglas and Boulder county assessors (assessment year current, fetched 2026-10-04); a further 6 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels (houses, condominium units, townhouses and multifamily) in the five Denver-metro counties the adapter serves, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 1 had no site address on file, 3 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%4.2%90.0%7.00.0190
sqft100.0%100.0%34.2%93.7%148.00.0111
stories——————0
construction100.0%100.0%82.2%96.7%——90
foundation——————0
condition100.0%100.0%17.4%91.3%——23

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 38.9% of the time at baseline and 94.2% with the assessor; within ±10 years 62.6% and 95.8%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability31.6%3.2%190
energy29.5%2.1%190
resilience3.2%0.5%190
environmental22.6%1.1%190
building_axis38.9%3.2%190

Assessor lookups resolved for 87.2% of the sample. 95% confidence interval 81.8–91.2% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 0a5020fe2746aa04.

Connecticut

Method. 171 addresses sampled across Connecticut GIS Office statewide CAMA and parcel layer (assessment year 2026, fetched 2026-10-04); a further 3 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels with a year built in all nine planning regions, drawn in proportion to each region's housing units. Drawn from 200 assessor rows; 29 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.4%72.0%15.00.0168
sqft100.0%100.0%31.9%75.0%260.50.0116
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 22.0% of the time at baseline and 78.6% with the assessor; within ±10 years 37.5% and 85.1%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability34.5%10.1%168
energy40.5%13.1%168
resilience1.2%0.6%168
environmental28.0%9.5%168
building_axis55.4%17.9%168

Assessor lookups resolved for 70.2% of the sample. 95% confidence interval 62.9–76.5% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest d468b944d878dc8d.

Florida

Method. 178 addresses sampled across Florida Department of Revenue statewide cadastral (county property appraisers' rolls) (assessment year 2026, fetched 2026-10-04); a further 9 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels (DOR use 001-008) with a dwelling unit and a year built in all 67 counties, drawn in proportion to each county's housing units. Drawn from 203 assessor rows; 2 could not be fetched from the source when drawn, 23 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.0%69.8%8.00.0169
sqft100.0%100.0%8.5%65.8%280.00.0117
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 37.9% of the time at baseline and 81.1% with the assessor; within ±10 years 63.3% and 88.2%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability18.9%8.9%169
energy16.0%5.9%169
resilience12.4%3.6%169
environmental7.7%2.4%169
building_axis32.5%8.9%169

Assessor lookups resolved for 64.0% of the sample. 95% confidence interval 56.8–70.7% for the draw, and 63.5–67.4% observed across 3 scorings of these same rows. The second range is not sampling error: it is the same addresses scored again. Every upstream failure here fails open, so a portal having a bad minute is indistinguishable from a county with no record, and it removes rows from the numerator silently. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 5dfa68716babe58d.

Georgia — Fulton, Clayton, Chatham and Forsyth counties

Method. 165 addresses sampled across Fulton, Clayton, Chatham (SAGIS) and Forsyth county parcel layers (assessment year 2024-2026 by county (Fulton 2026, Chatham 2025, Forsyth 2024, Clayton current), fetched 2026-10-04); a further 7 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: improved residential parcels in the four counties the adapter answers for (19% of Georgia's homes), drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 35 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.8%81.0%8.00.0158
sqft100.0%100.0%22.9%94.3%163.00.035
stories90.5%99.0%77.9%95.2%0.00.0105
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 39.2% of the time at baseline and 86.7% with the assessor; within ±10 years 60.8% and 91.8%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability27.8%5.1%158
energy24.1%3.8%158
resilience1.3%0.0%158
environmental15.8%4.4%158
building_axis43.0%10.1%158

Assessor lookups resolved for 77.0% of the sample. 95% confidence interval 70.0–82.7% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 5bdcf0e953aa4094.

Indiana (Vanderburgh County)

Method. 200 addresses sampled across Vanderburgh County Assessor tax parcels (assessment year current, fetched 2026-10-04); a further 3 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential, apartment and farmhouse parcels with a recorded year built in Vanderburgh County. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%0.5%89.8%16.00.0197
sqft100.0%100.0%20.5%89.1%272.00.0156
stories89.2%100.0%76.5%95.8%0.00.0167
construction——————0
foundation——————0
condition100.0%100.0%87.4%98.4%——182

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 20.3% of the time at baseline and 91.9% with the assessor; within ±10 years 34.0% and 91.9%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability24.4%3.6%197
energy32.0%4.1%197
resilience4.1%0.5%197
environmental44.7%5.6%197
building_axis39.6%4.6%197

Assessor lookups resolved for 88.5% of the sample. 95% confidence interval 83.3–92.2% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 74155c508179c40f.

Los Angeles County, California

Method. 178 addresses sampled across Los Angeles County Office of the Assessor (LA County eGIS parcels) (assessment year 2026, fetched 2026-10-04); a further 5 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: parcels the roll classifies Residential, condominium units included and typed with their unit. Drawn from 200 assessor rows; 10 had no site address on file, 12 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.5%91.9%10.00.0173
sqft100.0%100.0%26.6%92.2%203.50.064
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 31.2% of the time at baseline and 95.4% with the assessor; within ±10 years 52.0% and 96.5%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability19.1%2.3%173
energy12.1%1.7%173
resilience18.5%1.2%173
environmental6.9%1.2%173
building_axis39.3%3.5%173

Assessor lookups resolved for 89.3% of the sample. 95% confidence interval 83.9–93.1% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest d84e909022ec0162.

Maryland

Method. 199 addresses sampled across Maryland SDAT assessment data on MD iMAP parcel boundaries (assessment year 2026, fetched 2026-10-04); a further 7 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcel polygons with a premise address and a year built in all 23 counties and Baltimore City, drawn in proportion to housing units; condominium units filed only as account points (~150,000) are outside it. Drawn from 200 assessor rows; 1 was not read as one home even at its own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.1%81.8%10.00.0192
sqft100.0%100.0%21.6%77.6%262.40.0116
stories67.1%97.0%73.6%93.7%0.00.0164
construction100.0%100.0%82.8%96.0%——151
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 34.9% of the time at baseline and 88.0% with the assessor; within ±10 years 51.6% and 89.6%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability29.7%6.2%192
energy35.4%7.3%192
resilience2.1%0.5%192
environmental27.6%5.7%192
building_axis53.1%12.0%192

Assessor lookups resolved for 78.4% of the sample. 95% confidence interval 72.2–83.5% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 56262715d4ffdbcb.

Massachusetts

Method. 190 addresses sampled across MassGIS Level 3 standardized assessor parcels (assessment year FY2026, fetched 2026-10-04); a further 5 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: records with a residential DOR use code in all 351 cities and towns (condominium units included, typed with their unit), drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 10 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.6%83.2%20.00.0185
sqft100.0%100.0%31.3%84.3%290.00.0115
stories95.0%99.0%64.6%94.0%0.00.0101
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 17.3% of the time at baseline and 84.3% with the assessor; within ±10 years 30.8% and 87.6%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability37.8%7.6%185
energy37.3%8.1%185
resilience2.2%0.0%185
environmental28.6%6.5%185
building_axis38.9%8.1%185

Assessor lookups resolved for 81.1% of the sample. 95% confidence interval 74.9–86.0% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest f5451867e57d7d62.

Minnesota (Twin Cities metro)

Method. 197 addresses sampled across MetroGIS Regional Parcel Dataset (Metropolitan Council) (assessment year current, fetched 2026-10-04); a further 7 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels (houses, townhouses, condominium units, duplexes to apartments) in the seven metro counties, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 3 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.1%84.7%9.50.0190
sqft100.0%100.0%29.4%78.8%177.00.085
stories96.2%100.0%80.4%94.3%0.00.053
construction100.0%100.0%88.2%94.1%——17
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 35.8% of the time at baseline and 88.9% with the assessor; within ±10 years 53.7% and 91.1%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability25.8%3.7%190
energy33.2%7.9%190
resilience0.5%0.0%190
environmental21.6%3.7%190
building_axis30.0%5.3%190

Assessor lookups resolved for 81.7% of the sample. 95% confidence interval 75.7–86.5% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 1c15796fa177c61c.

Missouri (Jackson County)

Method. 198 addresses sampled across Jackson County (MO) Assessment Department Parcel Viewer (assessment year 2024, fetched 2026-10-04); a further 2 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: dwelling land-use records (houses, townhouses, condominium units, duplexes to apartments) in Jackson County, the one county the adapter serves. Drawn from 200 assessor rows; 2 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.0%80.6%10.00.0196
sqft100.0%100.0%15.8%81.6%242.50.0158
stories90.7%97.8%69.7%93.8%0.00.0182
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 32.1% of the time at baseline and 85.7% with the assessor; within ±10 years 52.6% and 91.3%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability18.4%4.1%196
energy30.6%5.6%196
resilience0.5%0.0%196
environmental28.1%5.6%196
building_axis28.1%5.1%196

Assessor lookups resolved for 78.8% of the sample. 95% confidence interval 72.6–83.9% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 0dbff6323683458b.

New Jersey

Method. 185 addresses sampled across NJOGIS Parcels and MOD-IV Composite of New Jersey (assessment year 2024, fetched 2026-10-04); a further 4 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential (class 2) parcels in all 21 counties, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 15 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.2%77.3%13.00.0181
sqft——————0
stories85.7%96.1%78.8%94.6%0.00.077
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 23.2% of the time at baseline and 81.8% with the assessor; within ±10 years 40.3% and 84.0%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability34.3%13.8%181
energy37.6%11.6%181
resilience3.3%1.7%181
environmental19.3%7.2%181
building_axis43.1%15.5%181

Assessor lookups resolved for 75.1% of the sample. 95% confidence interval 68.4–80.8% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest db48887a520f76a2.

New York City

Method. 200 addresses sampled across NYC Department of City Planning MapPLUTO (Department of Finance) (assessment year 26v2, fetched 2026-10-04); a further 2 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: tax lots with at least one residential unit in all five boroughs, drawn in proportion to each borough's housing units (a condominium is one billing lot). Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.5%97.0%27.00.0198
sqft100.0%100.0%50.0%100.0%2.50.04
stories55.8%97.7%41.7%100.0%1.00.043
construction——————0
foundation100.0%100.0%67.7%98.9%——93
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 16.7% of the time at baseline and 98.0% with the assessor; within ±10 years 29.8% and 98.0%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability26.3%0.0%198
energy30.8%0.5%198
resilience10.1%0.5%198
environmental19.2%0.0%198
building_axis30.3%0.5%198

Assessor lookups resolved for 96.0% of the sample. 95% confidence interval 92.3–98.0% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 4d51eab983da5247.

New York State (outside New York City)

Method. 138 addresses sampled across NYS ITS Geospatial Services public tax parcels (ORPTS rolls) (assessment year 2025, fetched 2026-10-04); a further 7 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential (class 2xx) parcels in the 33 opted-in counties outside New York City, drawn in proportion to each county's housing units; homes the roll gives no year built are counted, not skipped. Drawn from 200 assessor rows; 62 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.5%71.0%17.00.0131
sqft100.0%100.0%24.7%67.9%237.00.081
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 25.2% of the time at baseline and 76.3% with the assessor; within ±10 years 39.7% and 80.9%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability22.1%9.2%131
energy45.8%17.6%131
resilience1.5%0.0%131
environmental16.0%6.9%131
building_axis44.3%16.8%131

Assessor lookups resolved for 66.7% of the sample. 95% confidence interval 58.4–74.0% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest bbefba603570d38b.

North Carolina — 46 counties

Method. 192 addresses sampled across NC OneMap statewide parcels (county tax offices) (assessment year current, fetched 2026-10-04); a further 7 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: parcels the adapter reads as homes with a year built, in the 46 of 100 counties that record one (64% of the state's housing units), drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 1 had no site address on file, 7 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%2.7%74.6%11.00.0185
sqft——————0
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 29.7% of the time at baseline and 80.0% with the assessor; within ±10 years 48.1% and 87.0%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability32.4%7.6%185
energy28.1%8.1%185
resilience1.1%0.5%185
environmental11.4%2.7%185
building_axis50.8%13.5%185

Assessor lookups resolved for 71.9% of the sample. 95% confidence interval 65.1–77.8% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 9a228b28d6c8750d.

Ohio (nine counties)

Method. 194 addresses sampled across Ohio county auditors' parcel layers (nine counties) (assessment year current, fetched 2026-10-04); a further 6 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential, agricultural and apartment parcels with a recorded year built in the nine counties served, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 6 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.1%86.7%9.00.0188
sqft100.0%100.0%33.0%87.8%121.00.0115
stories81.4%97.7%75.7%97.6%0.00.086
construction100.0%100.0%66.7%94.4%——18
foundation——————0
condition100.0%100.0%35.7%78.6%——14

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 30.3% of the time at baseline and 90.4% with the assessor; within ±10 years 51.6% and 93.6%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability26.6%4.3%188
energy28.7%2.1%188
resilience1.1%0.0%188
environmental25.5%2.7%188
building_axis36.2%5.3%188

Assessor lookups resolved for 83.5% of the sample. 95% confidence interval 77.6–88.1% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 4c21e8efc4ea296e.

Pennsylvania (four counties)

Method. 200 addresses sampled across Montgomery, York, Northampton and Cumberland County (PA) assessment parcel layers (assessment year current, fetched 2026-10-04); a further 8 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels with a recorded year built in Montgomery, York, Northampton and Cumberland counties, drawn in proportion to each county's housing units. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.1%81.2%14.00.0192
sqft100.0%100.0%28.3%79.7%266.00.0138
stories84.6%96.5%79.3%96.4%0.00.0143
construction100.0%100.0%71.4%95.6%——91
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 24.0% of the time at baseline and 87.0% with the assessor; within ±10 years 40.6% and 91.1%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability35.9%7.8%192
energy35.9%4.2%192
resilience0.5%0.0%192
environmental24.5%3.1%192
building_axis54.7%8.9%192

Assessor lookups resolved for 76.5% of the sample. 95% confidence interval 70.2–81.8% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest cb84ec898190d71d.

Philadelphia, Pennsylvania

Method. 199 addresses sampled across Philadelphia Office of Property Assessment (OpenDataPhilly, Carto) (assessment year current, fetched 2026-10-04); a further 2 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: OPA accounts in the dwelling categories (single family, multi family, mixed use, apartments), condominium units included. Drawn from 200 assessor rows; 1 was not read as one home even at its own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.0%86.3%13.00.0197
sqft100.0%100.0%7.7%76.9%248.00.013
stories38.3%90.8%81.5%99.2%0.00.0141
construction——————0
foundation100.0%100.0%25.8%90.0%——120
condition100.0%100.0%78.3%92.6%——189

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 25.9% of the time at baseline and 91.4% with the assessor; within ±10 years 36.5% and 92.9%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability27.4%5.1%197
energy21.3%2.5%197
resilience5.1%0.5%197
environmental24.9%3.6%197
building_axis35.0%8.1%197

Assessor lookups resolved for 84.9% of the sample. 95% confidence interval 79.3–89.2% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 6ea589ba92d5927e.

Portland metro, Oregon (Multnomah, Washington, Clackamas)

Method. 192 addresses sampled across Oregon Metro RLIS Taxlots (Public) (assessment year 2026, fetched 2026-10-04); a further 13 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential taxlots (single-family, multi-family and rural residential, condominium units included) in all three counties, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 8 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%5.0%92.2%15.00.0179
sqft100.0%100.0%29.5%95.1%180.00.0122
stories——————0
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 26.3% of the time at baseline and 94.4% with the assessor; within ±10 years 39.1% and 96.1%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability26.3%0.0%179
energy26.3%0.6%179
resilience1.1%0.6%179
environmental21.8%2.2%179
building_axis53.1%4.5%179

Assessor lookups resolved for 84.9% of the sample. 95% confidence interval 79.1–89.3% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 4aca9ee1ade9b26a.

San Francisco, California

Method. 184 addresses sampled across San Francisco Office of the Assessor-Recorder (DataSF secured roll) (assessment year 2025, fetched 2026-10-04). Scope: residential records (single- and multi-family uses, condominium units included) in the latest closed secured roll. Drawn from 200 assessor rows; 1 could not be fetched from the source when drawn, 15 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.8%97.8%17.50.0184
sqft100.0%100.0%32.4%100.0%414.00.034
stories82.9%99.1%43.3%99.1%1.00.0117
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 20.1% of the time at baseline and 98.4% with the assessor; within ±10 years 31.0% and 98.9%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability10.3%0.5%184
energy8.7%0.5%184
resilience16.3%1.1%184
environmental16.3%0.5%184
building_axis22.8%0.5%184

Assessor lookups resolved for 97.8% of the sample. 95% confidence interval 94.5–99.2% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 38e0e2eccf21bdc5.

Southeast Michigan (SEMCOG's seven counties)

Method. 191 addresses sampled across SEMCOG Building Footprints 2024 (assessment year 2024, fetched 2026-10-04); a further 1 sampled address could not be geocoded or scored and is excluded from every rate below. Scope: live single-family, attached-condo and apartment buildings (not parcels) in Wayne, Oakland, Macomb, Washtenaw, Livingston, St. Clair and Monroe, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 9 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%5.3%96.8%9.00.0190
sqft100.0%100.0%19.0%96.4%176.00.0137
stories87.6%100.0%67.9%99.3%0.00.0153
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 35.3% of the time at baseline and 98.4% with the assessor; within ±10 years 54.2% and 98.4%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability23.2%1.6%190
energy33.2%2.6%190
resilience0.5%0.0%190
environmental27.4%1.6%190
building_axis27.4%1.6%190

Assessor lookups resolved for 96.3% of the sample. 95% confidence interval 92.6–98.2% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest af02a75f72e38d5b.

Texas (twelve largest-county appraisal districts)

Method. 197 addresses sampled across Texas county appraisal districts (twelve counties' own services) (assessment year current, fetched 2026-10-04); a further 7 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential accounts (state categories A single-family and condominium, B multifamily, M mobile homes) in the twelve counties the adapter serves, drawn in proportion to each county's housing units. Drawn from 200 assessor rows; 3 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%6.8%85.8%7.00.0190
sqft100.0%100.0%16.2%86.2%240.00.0130
stories91.8%100.0%80.0%95.9%0.00.049
construction——————0
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 41.6% of the time at baseline and 91.1% with the assessor; within ±10 years 70.0% and 96.8%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability25.3%4.2%190
energy15.8%1.6%190
resilience2.6%0.5%190
environmental5.8%1.6%190
building_axis29.5%2.6%190

Assessor lookups resolved for 82.7% of the sample. 95% confidence interval 76.9–87.4% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 6ae3b403b15f6be2.

Utah

Method. 186 addresses sampled across UGRC Land Information Records parcels (Utah county tax rolls) (assessment year 2025, fetched 2026-10-04); a further 22 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential parcels with a recorded year built in the 28 counties served, one draw per parcel, in proportion to each county's housing units. Drawn from 200 assessor rows; 7 had no site address on file, 7 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%3.7%86.0%9.00.0164
sqft100.0%100.0%45.0%90.0%40.00.020
stories88.9%100.0%87.5%100.0%0.00.018
construction100.0%100.0%87.9%98.3%——58
foundation——————0
condition——————0

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 34.8% of the time at baseline and 90.9% with the assessor; within ±10 years 51.2% and 93.3%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability30.5%4.9%164
energy31.7%4.9%164
resilience8.5%1.8%164
environmental18.3%3.0%164
building_axis47.0%8.5%164

Assessor lookups resolved for 75.3% of the sample. 95% confidence interval 68.6–80.9% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 8b522f5c6868a8d0.

Virginia — Chesterfield County and the City of Richmond

Method. 198 addresses sampled across Chesterfield County Open GIS Data; City of Richmond Assessor (assessment year 2025-2026 by locality (Chesterfield 2026, Richmond 2025), fetched 2026-10-04); a further 8 sampled addresses could not be geocoded or scored and are excluded from every rate below. Scope: residential assessment records in Chesterfield County and the City of Richmond only, drawn in proportion to each one's housing units. Drawn from 200 assessor rows; 2 were not read as one home even at their own parcel. Each is scored from the address alone, with no construction details supplied, and compared against the county's record as the adapter reads it at the parcel itself (see adapter benchmarks below).

Field accuracy

FieldCoverage
baseline
Coverage
w/ assessor
Exact
baseline
Exact
w/ assessor
Median error
baseline
Median error
w/ assessor
Truth rows
year_built100.0%100.0%1.6%85.8%10.00.0190
sqft100.0%100.0%24.7%86.0%176.50.0150
stories90.3%100.0%83.5%97.0%0.00.0134
construction——————0
foundation——————0
condition100.0%100.0%46.1%94.7%——76

Year built, by tolerance. The single field the rest of the construction profile leans on hardest, so the near-misses are worth seeing rather than collapsing into one median: within ±5 years 32.1% of the time at baseline and 88.4% with the assessor; within ±10 years 51.1% and 93.2%.

Does the reader see a different grade?

DimensionBaselineWith assessorn
durability37.9%7.4%190
energy29.5%6.8%190
resilience0.5%0.0%190
environmental24.2%4.7%190
building_axis48.4%8.9%190

Assessor lookups resolved for 82.3% of the sample. 95% confidence interval 76.4–87.0% for the draw. Drawn uniform random offsets without replacement, seed 20261004 · Benchmark digest 0ed594fd7c535280.

What this does and does not establish

Informational purposes only. This label is a modeled estimate built from public data. It is not an inspection, appraisal, survey, or insurance quote, and it is not legal, financial, insurance, engineering, or real estate advice. It describes what the model expects of a home like this one at this location; it cannot tell you the condition, safety, value, or insurability of any particular property. Verify anything you would act on with a qualified professional. Provided as is, without warranty.

Generated 2026-10-05. Regenerate with python scripts/measure_accuracy.py --jurisdiction <name>; each run replaces only its own section.