Source
FBI NIBRS · vintage 2026 · refresh cadence: annual
Burglary + larceny + auto theft per 1,000 residents/year
Direction of better
Lower values are better. Used to rank candidate towns/properties; lower score = stronger fit.
Unit
Values are reported in rate_per_1k.
Where the data lives
Tables: municipality_metrics
Columns: property_per_1000
Input field: property_per_1000
JSON-LD example
Every value emitted by ValiFit (in /api/v1, MCP responses, on-page JSON-LD) carries a propertyID set to this metric_id, so AI clients can resolve it back here in one round-trip.
{
"@type": "PropertyValue",
"propertyID": "town.property_crime_per_1000",
"name": "Property Crime Rate per 1,000",
"value": "example",
"unitText": "rate_per_1k",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "composite",
"value": "Safety"
},
{
"@type": "PropertyValue",
"name": "level",
"value": "city"
},
{
"@type": "PropertyValue",
"name": "direction",
"value": "lower_better"
},
{
"@type": "PropertyValue",
"name": "source_year",
"value": "2026"
},
{
"@type": "PropertyValue",
"name": "fha_safe",
"value": true
}
],
"valueReference": {
"@type": "QuantitativeValue",
"additionalType": "https://valifit.com/catalog/metric",
"identifier": "town.property_crime_per_1000",
"sameAs": "FBI NIBRS"
}
}For programmatic access
GET /api/v1/catalog/metrics?id=town.property_crime_per_1000
MCP tool: get_catalog with id="town.property_crime_per_1000"