Franklin County Ohio Parcel Records with FEMA Flood and School Context
September 22, 2026 snapshot
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
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.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 42.4 / 50 | 424 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 | 424 of 424 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 | 8 / 10 | string | 0 / 2 |
| owner_name_3 | 10 / 10 | unknown | 0 / 0 |
| tax_mailing_name_1 | 2 / 10 | string | 0 / 8 |
| tax_mailing_name_2 | 8 / 10 | string | 0 / 2 |
| 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 | 2 / 10 | number | 0 / 8 |
| 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 | 2 / 10 | number | 0 / 8 |
| 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 | 10 / 10 | unknown | 0 / 0 |
| residential_year_built | 10 / 10 | unknown | 0 / 0 |
| county_school_district | 0 / 10 | string | 0 / 10 |
| 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 | 3 / 10 | string | 0 / 7 |
| zoning_mapped_pct | 0 / 10 | number | 0 / 10 |
| zoning_sources | 3 / 10 | string | 0 / 7 |
| 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 |
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 examplepython3 retrieve-dataset.py 19e85515-1622-43c9-835b-eee0fda44b46 --output dataset.bin
Full supplier documentation
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 | string | |
| 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 | unknown | |
| residential_year_built | unknown | |
| 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
# 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# 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"}'