geographicohioreal-estateparcel-dataflood-zonesproperty-ownersgis

Franklin County Ohio Commercial and Industrial Parcels

September 22, 2026

$19

Fixed price

Sample structure: 93.1 / 100

0 download links issued

Seller: LandSight Solutions

Already have an account? Log in

Have an API key? Use the REST API →

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: www.landsightsolutions.com
Collection method: uploaded
Coverage / snapshot: September 22, 2026
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Preview contains a bounded selection from archive entry parcels.csv; it does not represent every file in the bundle. Rows are evenly spaced within the inspected input, subject to the preview byte budget; this is not a new random sample of the full dataset.

Sample structure score: 93.1 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	43.1 / 50	431 of 500 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	431 of 431 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
parcel_id	0 / 10	string	0 / 10
county	0 / 10	string	0 / 10
state	0 / 10	string	0 / 10
county_fips	0 / 10	number	0 / 10
tax_class_code	0 / 10	number	0 / 10
owner_name_1	0 / 10	string	0 / 10
owner_name_2	10 / 10	unknown	0 / 0
owner_name_3	10 / 10	unknown	0 / 0
tax_mailing_name_1	2 / 10	string	0 / 8
tax_mailing_name_2	7 / 10	string	0 / 3
tax_mailing_address	2 / 10	string	0 / 8
tax_mailing_city_state_zip	2 / 10	string	0 / 8
site_address	0 / 10	string	0 / 10
site_zip	3 / 10	number	0 / 7
tax_class_description	0 / 10	string	0 / 10
county_reported_acres	0 / 10	number	0 / 10
base_land_value	1 / 10	number	0 / 9
base_building_value	1 / 10	number	0 / 9
base_total_value	1 / 10	number	0 / 9
county_sale_date_epoch_ms	1 / 10	number	0 / 9
county_sale_price	1 / 10	number	0 / 9
building_area	4 / 10	number	0 / 6
residential_year_built	9 / 10	number	0 / 1
county_school_district	1 / 10	string	0 / 9
source_last_update_epoch_ms	10 / 10	unknown	0 / 0
retrieved_at_utc	0 / 10	string	0 / 10
source_url	0 / 10	string	0 / 10
geometry_valid	0 / 10	boolean	0 / 10
computed_screen_acres	0 / 10	number	0 / 10
quality_flags	0 / 10	string	0 / 10
flood_status	0 / 10	string	0 / 10
fema_zones	0 / 10	string	0 / 10
fema_subtypes	0 / 10	string	0 / 10
fema_mapped_pct	0 / 10	number	0 / 10
sfha_pct	0 / 10	number	0 / 10
sfha_acres	0 / 10	number	0 / 10
floodway_pct	0 / 10	number	0 / 10
flood_source	0 / 10	string	0 / 10
zoning_status	0 / 10	string	0 / 10
mapped_zoning_codes	2 / 10	string	0 / 8
zoning_mapped_pct	0 / 10	number	0 / 10
zoning_sources	2 / 10	string	0 / 8
school_districts	0 / 10	string	0 / 10
nearest_public_school	0 / 10	string	0 / 10
nearest_school_nces_id	0 / 10	number	0 / 10
nearest_school_grades	0 / 10	string	0 / 10
nearest_school_straight_line_miles	0 / 10	number	0 / 10
school_source_year	0 / 10	string	0 / 10
school_source	0 / 10	string	0 / 10
enrichment_retrieved_at_utc	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Complete parcel records for commercial and industrial properties in Franklin County, Ohio, including owner names, tax values, acreage, and sale history. Enriched with FEMA flood hazard mapping, local zoning codes, and 2024 Census school district and nearest public school data. 29,557 records with usable geometries; 23,350 include zoning overlap.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 254570a8-f691-4de7-b7a7-5795adf036a3 --output dataset.bin

Full supplier documentation

Original supplier listing: Franklin County Ohio: Commercial and industrial properties, owners, FEMA flood and school context 29,604 Franklin County, Ohio parcel records, all acreage, retrieved from official county records September 22, 2026. This is a complete sector research file, not a lead-count estimate. All 29,604 rows include a recorded owner name. Delivery: ZIP containing CSV (50 fields), matching GeoJSON, per-parcel enrichment evidence, coverage counts, provenance and methodology. Available source fields include tax mailing and site addresses, tax-use classification, acreage, county land/building/total values, recorded sale fields and building area. Enrichment: full-polygon FEMA NFHL overlaps, mapped coverage, Special Flood Hazard Area percentage/acres and floodway percentage; available local zoning codes, coverage and source links; Census ACS 2024 unified school districts; NCES 2024-25 nearest physical public-school location and straight-line distance. 29,557 usable geometries; 29,538 parcels with at least 99.9% FEMA polygon coverage; 23,350 with some retrieved zoning overlap. Missing values and invalid geometry are explicitly flagged. DataBazaar archive preview contains the file inventory and methodology. For actual parcel rows, use the free five-record CSV sample linked below. Free real five-record CSV sample: https://www.landsightsolutions.com/data/franklin-commercial/sample.csv Source methodology: https://www.landsightsolutions.com/data/franklin-commercial/methodology.txt Paid curation and analysis of public source facts; no exclusivity claimed. Internal business research and client projects are allowed. Official GIS evidence does not establish title, legal access, utilities, physical vacancy, approved uses, sale availability, school assignment or project feasibility. Nearest school is not guaranteed attendance; mapped flooding is not an insurance certificate. No private phone numbers, personal email addresses, demographic targeting or tenant records are included. Seller: LandSight Solutions LLC, maker of ParcelMetric. One-time download; no subscription.

Schema

Name	Type	Description
parcel_id	string
county	string
state	string
county_fips	number
tax_class_code	number
owner_name_1	string
owner_name_2	unknown
owner_name_3	unknown
tax_mailing_name_1	string
tax_mailing_name_2	string
tax_mailing_address	string
tax_mailing_city_state_zip	string
site_address	string
site_zip	number
tax_class_description	string
county_reported_acres	number
base_land_value	number
base_building_value	number
base_total_value	number
county_sale_date_epoch_ms	number
county_sale_price	number
building_area	number
residential_year_built	number
county_school_district	string
source_last_update_epoch_ms	unknown
retrieved_at_utc	string
source_url	string
geometry_valid	boolean
computed_screen_acres	number
quality_flags	string
flood_status	string
fema_zones	string
fema_subtypes	string
fema_mapped_pct	number
sfha_pct	number
sfha_acres	number
floodway_pct	number
flood_source	string
zoning_status	string
mapped_zoning_codes	string
zoning_mapped_pct	number
zoning_sources	string
school_districts	string
nearest_public_school	string
nearest_school_nces_id	number
nearest_school_grades	string
nearest_school_straight_line_miles	number
school_source_year	string
school_source	string
enrichment_retrieved_at_utc	string

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Franklin County Ohio Commercia" })
// Found: 254570a8-f691-4de7-b7a7-5795adf036a3
buy_now({ dataset_id: "254570a8-f691-4de7-b7a7-5795adf036a3" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/254570a8-f691-4de7-b7a7-5795adf036a3 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/254570a8-f691-4de7-b7a7-5795adf036a3/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "254570a8-f691-4de7-b7a7-5795adf036a3"}'