LANDSIGHT / DATA EVALUATION

Your project needs answers.
Start with the evidence.

Get parcel boundaries, recorded owners and mapped flood and wetland context in one file. Test 50 real records in your own tools before buying a county or scoping a project.

No signup. Three Ohio counties. CSV, JSON and GeoJSON.

Actual ParcelMetric application showing a selected Columbus property, aerial imagery, parcel outline and recorded property details
Try the software, too. ParcelMetric keeps the map and property record together. The interactive demo uses a separate saved February–March 2026 edition.

OPEN THE FILE. CHECK THE FIT.

Real records. Nothing to unlock.

Each pack includes 50 matching records across all three formats, a field completeness profile, methodology and source-edition manifest. These are the first 50 records in source order, not a representative county sample.

50 records106 columns · EPSG:4326
Download complete pack ↓
First three records · Franklin County sample
Parcel IDRecorded ownerSite addressMapped acres
232-000007HICKMAN DAVID8610 OPOSSUM RUN RD0.012
232-000011US BANK TRUST N A TROPOSSUM RUN RD0.8689
232-000065HUFFMAN BRANDI NOPOSSUM RUN RD REAR0.6185
Know the edition

Parcel source dates: not supplied. Owner source dates: not supplied. Parcel retrieval: 2026-09-22; owner retrieval: 2026-09-22. Retrieval and new mapping do not refresh older ownership records.

Full county archive: 494,749 records. Sample completeness is documented in the field profile. Mapped acreage is a geometry calculation, not surveyed acreage.

Verify this download

ZIP size: 50.2 KB. SHA-256:

3f77f45068eb105faa6633a087051f159d5ada6da723d4021ea5884eb13314c7

ONE SMALL ERROR. A BROKEN JOIN.

A missing zero can mean a missing property.

Putnam’s assessment spreadsheet stores a parcel number as a number. Its parcel map uses a text identifier with a leading zero. Importing both blindly can lose the connection between the owner and the boundary.

Our prepared file restores the identifier using a unique match against official parcel IDs. Ambiguous matches stay unresolved. Open the source excerpt and the exported record to check it yourself.

Inspect the original assessment values ↗
COUNTY SPREADSHEET · NUMERIC VALUE10010100000
PREPARED PARCEL ID · TEXT VALUE010010100000

Matched to official identifiers; not arbitrary zero-padding. Import parcel IDs as text to retain the result.

PUT IT TO WORK

Bring a real project area.

01 / RIGHT OF WAY

Build a tract research list.

Check boundaries, recorded owners and available tax mailing fields before title research. Identify missing information early.

02 / ENERGY & SITE SELECTION

Compare the mapped constraints.

Review parcel-level flood and wetland intersections alongside acreage. Separate records needing further review from your initial shortlist.

03 / GIS & DATA TEAMS

Test the join before the import.

Inspect identifiers, geometry, missing values and source dates in your existing tools. Keep the evidence with the output.

A SMALL, DEFINED FIRST PROJECT

Evaluate your area.
Know what you will get.

Request a scoped project pilot for up to 100 agreed parcel records in one covered project area: a comparison CSV, GeoJSON, source references and a missing-data report, with one criteria revision.

We confirm coverage, required fields, acceptance checks, price and delivery date before payment. New source acquisition or additional analysis is quoted separately.

Scope my project pilot →Just need a county file? Browse one-time downloads →Need software for your team? Discuss ParcelMetric →

What to check before you decide

Are these current ownership records?

These are dated source snapshots. Download date is not the date ownership was verified. Each pack shows its source dates; Franklin’s source dates were not supplied. Consult current county and title records for ownership decisions.

Why can one parcel ID have several records?

Source records and parcel identifiers are different things. Separate mapped pieces or source records can share a parcel ID. record_id identifies the exported source record. Do not merge geometries or sum acreage solely because IDs match.

Does zero mean missing?

No. The export retains source zero values. Empty CSV cells and JSON null values indicate unavailable values. The field profile counts completeness for these 50 records only, not the entire county.

Does mapped flood or wetland data determine whether I can build?

No. These layers support initial screening. Mapping coverage, source age and geometry quality matter. A lack of mapped overlap is not regulatory clearance, a wetland delineation or proof of buildability.

Why does the map show different counts?

The public ParcelMetric demo uses saved February–March 2026 records. These sample downloads come from separately prepared September 2026 product archives with their own source dates. Compare matching editions before interpreting a difference as a data change.