geographicohioreal-estateparcel-dataflood-zonesproperty-ownersgis

Franklin County Ohio Parcel Records with FEMA Flood and School Context

September 22, 2026 snapshot

$19

Fixed price

Sample structure: 92.4 / 100
0 download links issued
Seller: LandSight Solutions
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Category
Geographic
Records
12,791 rows
Format
ZIP
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
0

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 snapshot
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: 92.4 / 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.

CheckPointsEvidence
Populated cells42.4 / 50424 of 500 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30424 of 424 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 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.

FieldMissing cellsMost common typeOther populated types
parcel_id0 / 10string0 / 10
county0 / 10string0 / 10
state0 / 10string0 / 10
county_fips0 / 10number0 / 10
tax_class_code0 / 10number0 / 10
owner_name_10 / 10string0 / 10
owner_name_28 / 10string0 / 2
owner_name_310 / 10unknown0 / 0
tax_mailing_name_12 / 10string0 / 8
tax_mailing_name_28 / 10string0 / 2
tax_mailing_address2 / 10string0 / 8
tax_mailing_city_state_zip2 / 10string0 / 8
site_address0 / 10string0 / 10
site_zip2 / 10number0 / 8
tax_class_description0 / 10string0 / 10
county_reported_acres0 / 10number0 / 10
base_land_value1 / 10number0 / 9
base_building_value2 / 10number0 / 8
base_total_value1 / 10number0 / 9
county_sale_date_epoch_ms1 / 10number0 / 9
county_sale_price1 / 10number0 / 9
building_area10 / 10unknown0 / 0
residential_year_built10 / 10unknown0 / 0
county_school_district0 / 10string0 / 10
source_last_update_epoch_ms10 / 10unknown0 / 0
retrieved_at_utc0 / 10string0 / 10
source_url0 / 10string0 / 10
geometry_valid0 / 10boolean0 / 10
computed_screen_acres0 / 10number0 / 10
quality_flags0 / 10string0 / 10
flood_status0 / 10string0 / 10
fema_zones0 / 10string0 / 10
fema_subtypes0 / 10string0 / 10
fema_mapped_pct0 / 10number0 / 10
sfha_pct0 / 10number0 / 10
sfha_acres0 / 10number0 / 10
floodway_pct0 / 10number0 / 10
flood_source0 / 10string0 / 10
zoning_status0 / 10string0 / 10
mapped_zoning_codes3 / 10string0 / 7
zoning_mapped_pct0 / 10number0 / 10
zoning_sources3 / 10string0 / 7
school_districts0 / 10string0 / 10
nearest_public_school0 / 10string0 / 10
nearest_school_nces_id0 / 10number0 / 10
nearest_school_grades0 / 10string0 / 10
nearest_school_straight_line_miles0 / 10number0 / 10
school_source_year0 / 10string0 / 10
school_source0 / 10string0 / 10
enrichment_retrieved_at_utc0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Complete Franklin County parcel dataset with recorded owner names, tax values, sale history, and acreage. Enriched with FEMA flood zone polygons and Special Flood Hazard Area coverage, local zoning codes where available, and Census 2024 school district and nearest public school location data. 12,762 usable geometries; 9,402 parcels with zoning overlap. Missing values and invalid geometry explicitly flagged.

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 19e85515-1622-43c9-835b-eee0fda44b46 --output dataset.bin
Full supplier documentation
Original supplier listing: Franklin County Ohio: Land and building lots, owners, FEMA flood and school context 12,791 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 12,791 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. 12,762 usable geometries; 12,731 parcels with at least 99.9% FEMA polygon coverage; 9,402 with some retrieved zoning overlap. Missing values and invalid geometry are explicitly flagged. Free real five-record CSV sample: https://www.landsightsolutions.com/data/franklin-land/sample.csv Source methodology: https://www.landsightsolutions.com/data/franklin-land/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

NameTypeDescription
parcel_idstring
countystring
statestring
county_fipsnumber
tax_class_codenumber
owner_name_1string
owner_name_2string
owner_name_3unknown
tax_mailing_name_1string
tax_mailing_name_2string
tax_mailing_addressstring
tax_mailing_city_state_zipstring
site_addressstring
site_zipnumber
tax_class_descriptionstring
county_reported_acresnumber
base_land_valuenumber
base_building_valuenumber
base_total_valuenumber
county_sale_date_epoch_msnumber
county_sale_pricenumber
building_areaunknown
residential_year_builtunknown
county_school_districtstring
source_last_update_epoch_msunknown
retrieved_at_utcstring
source_urlstring
geometry_validboolean
computed_screen_acresnumber
quality_flagsstring
flood_statusstring
fema_zonesstring
fema_subtypesstring
fema_mapped_pctnumber
sfha_pctnumber
sfha_acresnumber
floodway_pctnumber
flood_sourcestring
zoning_statusstring
mapped_zoning_codesstring
zoning_mapped_pctnumber
zoning_sourcesstring
school_districtsstring
nearest_public_schoolstring
nearest_school_nces_idnumber
nearest_school_gradesstring
nearest_school_straight_line_milesnumber
school_source_yearstring
school_sourcestring
enrichment_retrieved_at_utcstring

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 Parcel Re" })
// Found: 19e85515-1622-43c9-835b-eee0fda44b46
buy_now({ dataset_id: "19e85515-1622-43c9-835b-eee0fda44b46" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/19e85515-1622-43c9-835b-eee0fda44b46 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/19e85515-1622-43c9-835b-eee0fda44b46/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "19e85515-1622-43c9-835b-eee0fda44b46"}'