Source
Redfin Market Data · vintage 2026 · refresh cadence: monthly
Direction of better
Higher values are better. Used to rank candidate towns/properties; higher score = stronger fit.
Unit
Values are reported in dollars.
Default weight in Appreciation composite
40% of the Appreciation composite by default. Users can override this weight in their intake; the displayed score reflects the user's chosen weighting, never a fixed default.
Where the data lives
Tables: city_appreciation_series, redfin_market_data, town_summaries
Columns: price_change_1yr_pct, price_change_1yr_pct, price_change_1yr_pct
Input field: yoyPriceChange,stateMedianYoy
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": "appreciation.1_year_price_change",
"name": "1-Year Price Change",
"value": 350000,
"unitText": "dollars",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "composite",
"value": "Appreciation"
},
{
"@type": "PropertyValue",
"name": "level",
"value": "city"
},
{
"@type": "PropertyValue",
"name": "direction",
"value": "higher_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": "appreciation.1_year_price_change",
"sameAs": "Redfin Market Data"
},
"mentions": [
{
"@type": "Dataset",
"@id": "https://valifit.com/sources/redfin-market-data",
"identifier": "REDFIN_DATA",
"name": "Redfin Real Estate Market Data",
"url": "https://www.redfin.com/news/data-center/",
"sameAs": "https://www.redfin.com/news/data-center/",
"creator": {
"@type": "Organization",
"name": "Redfin Corporation"
},
"temporalCoverage": "monthly",
"dateModified": "2026-04-01"
}
]
}For programmatic access
GET /api/v1/catalog/metrics?id=appreciation.1_year_price_change
MCP tool: get_catalog with id="appreciation.1_year_price_change"