US county housing-velocity intelligence (monthly)
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Monthly US county housing-velocity intelligence from Redfin's Data Center Market Tracker county bulk feed (keyless download): ~3,100 counties, 2012 -> present, 'All Residential'. Per (month, county): median sale/list price and price per sq ft, homes sold, pending sales, new listings, inventory, months of supply, median days on market, sale-to-list ratio, share sold above list, price-drop share and off-market-in-two-weeks share (all with published YoY changes), plus a documented 0-100 housing-demand heat score, seller's/balanced/buyer's market tiers, price-momentum tiers, and sale-price YoY vs the panel-median national benchmark. County names resolved to 5-digit FIPS via Census gazetteers (deterministic, fail-loud above 1% unmatched). The velocity complement to the FHFA price panels: pending sales and price drops move months before prices do. Redfin data reuse is governed by Redfin's Terms of Use (commercial redistribution not explicitly granted); attribution required.
- Source
- Redfin
- Rows
- 459,648
- Columns
- 32
- Source cadence
- Monthly
- Last refreshed
- Sep 29, 2026
- Theme
- housing
| Column | Type | Description |
|---|---|---|
| month | string | Reference month (first day's YYYY-MM). (unit: ISO month) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| county_fips | string | 5-digit county FIPS code, resolved from Redfin's county name via Census gazetteers. Primary join key with month. (unit: FIPS code) |
| county_name | string | County name as published by Redfin (without the state suffix). |
| state_code | string | USPS 2-letter state abbreviation. (unit: USPS code) |
| state_name | string | State name as published by Redfin. |
| parent_metro_code | string | CBSA metro code of the parent metro region, where Redfin assigns one; null for non-metro counties. (unit: CBSA code) |
| parent_metro_name | string | Parent metro region name as published by Redfin; null for non-metro counties. |
| median_sale_price | float | Median closed sale price for the month, as published by Redfin. Null where upstream publishes no value (never zero-filled). (unit: USD) |
| median_sale_price_yoy | float | Year-over-year percent change in median sale price, as published by Redfin. (unit: percent) |
| sale_price_yoy_vs_national | float | County median-sale-price YoY minus the panel-median YoY that month: the county's price momentum vs the national benchmark. (unit: percentage points) |
| national_median_sale_price_yoy | float | Panel-median (across counties) median-sale-price YoY for the month: the internal national benchmark, as_of-stamped. (unit: percent) |
| median_list_price | float | Median list price for the month, as published by Redfin. (unit: USD) |
| median_ppsf | float | Median sale price per square foot, as published by Redfin. (unit: USD per sq ft) |
| homes_sold | float | Closed home sales in the month, as published by Redfin. (unit: count) |
| homes_sold_yoy | float | Year-over-year percent change in closed sales, as published by Redfin. (unit: percent) |
| pending_sales | float | Homes that went under contract in the month: the leading demand gauge. (unit: count) |
| pending_sales_yoy | float | Year-over-year percent change in pending sales, as published by Redfin. (unit: percent) |
| new_listings | float | New listings in the month: the supply-flow gauge. (unit: count) |
| new_listings_yoy | float | Year-over-year percent change in new listings, as published by Redfin. (unit: percent) |
| inventory | float | Active listings (supply stock) in the month. (unit: count) |
| months_of_supply | float | Months of supply: inventory divided by the sales pace. Below 4 = seller's market, 4-6 = balanced, above 6 = buyer's market. (unit: months) |
| median_dom | float | Median days on market before going under contract. (unit: days) |
| avg_sale_to_list | float | Average sale-to-list price ratio. Above 100 = homes selling over asking. (unit: percent) |
| sold_above_list | float | Share of homes sold above list price. (unit: percent) |
| price_drops | float | Share of active listings with a price drop: the seller-distress gauge. (unit: percent) |
| off_market_in_two_weeks | float | Share of homes going off market within two weeks of listing: the velocity gauge. (unit: percent) |
| demand_heat_score | float | Documented 0-100 composite: 100*(0.30*mm(pending_sales_yoy,-50,50) + 0.25*mm(avg_sale_to_list-100,-5,5) + 0.20*(1-mm(months_of_supply,0,10)) + 0.15*(1-mm(price_drops,0,50)) + 0.10*mm(off_market_in_two_weeks,0,60)), mm = clipped min-max. Null when any input is null. High = hot seller's market. (unit: 0-100 score) |
| market_tier | string | Market balance tier from months_of_supply: sellers_market (<4), balanced (4-6), buyers_market (>=6). (unit: categorical) |
| price_momentum_tier | string | Price momentum tier from median_sale_price_yoy: surging (>10), rising (>3), flat (>= -3), cooling (> -10), falling (<= -10). (unit: categorical) |
| as_of | string | Latest month in the fetched panel (YYYY-MM); identical across rows and across runs on the same vintage. (unit: ISO month) |
| row_hash | string | Deterministic 16-hex row id: sha256('REDFIN|<county_fips>|<month>'). (unit: hash) |
First 10 sample rows — a preview, not the complete dataset.
| month | country_code | county_fips | county_name | state_code | state_name | parent_metro_code | parent_metro_name | median_sale_price | median_sale_price_yoy | sale_price_yoy_vs_national | national_median_sale_price_yoy | median_list_price | median_ppsf | homes_sold | homes_sold_yoy | pending_sales | pending_sales_yoy | new_listings | new_listings_yoy | inventory | months_of_supply | median_dom | avg_sale_to_list | sold_above_list | price_drops | off_market_in_two_weeks | demand_heat_score | market_tier | price_momentum_tier | as_of | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-01 | USA | 01001 | Autauga County | AL | Alabama | 33860 | Montgomery, AL | 133,250 | -22.145 | -18.39 | -3.752 | 157,450 | 79.51 | 20 | -9.091 | 20 | 0 | 54 | -28 | 293 | 14.7 | 158 | 94.331 | 5 | — | 0 | — | buyers_market | falling | 2026-05 | 32bdd7e03c9f8827 |
| 2012-01 | USA | 01003 | Baldwin County | AL | Alabama | 19300 | Daphne, AL | 162,500 | -2.108 | 1.64 | -3.752 | 216,200 | 86.918 | 176 | -14.146 | 175 | -13.793 | 298 | 4.196 | 1,371 | 7.8 | 127 | 94.976 | 13.068 | — | 5.143 | — | buyers_market | flat | 2026-05 | 18b3c1ef8277b38d |
| 2012-01 | USA | 01009 | Blount County | AL | Alabama | 13820 | Birmingham, AL | 68,876 | — | — | -3.752 | 132,000 | 46.624 | 19 | — | 18 | — | 17 | — | 131 | 6.9 | 105 | 93.155 | 10.526 | — | 0 | — | buyers_market | falling | 2026-05 | 3ff90b442ef2068e |
| 2012-01 | USA | 01013 | Butler County | AL | Alabama | NA | Alabama nonmetropolitan area | 29,900 | -54.868 | -51.12 | -3.752 | 120,000 | 17.609 | 3 | 50 | 3 | 50 | 21 | 250 | 72 | 24 | 209 | 92.895 | 0 | — | 0 | — | buyers_market | falling | 2026-05 | 948ee7900e5695f3 |
| 2012-01 | USA | 01015 | Calhoun County | AL | Alabama | 11500 | Anniston, AL | 93,000 | — | — | -3.752 | 92,200 | 49.463 | 44 | — | 44 | — | 61 | — | 296 | 6.7 | 88 | 91.216 | 9.091 | — | 2.273 | — | buyers_market | falling | 2026-05 | 91d8abb5a37f916b |
| 2012-01 | USA | 01017 | Chambers County | AL | Alabama | 29300 | LaGrange, GA | 53,750 | — | — | -3.752 | 69,900 | 41.315 | 6 | — | 6 | — | 12 | — | 114 | 19 | 131 | 91.411 | 16.667 | — | 0 | — | buyers_market | falling | 2026-05 | aba92fb67f0c3f64 |
| 2012-01 | USA | 01019 | Cherokee County | AL | Alabama | NA | Alabama nonmetropolitan area | 112,250 | — | — | -3.752 | 89,800 | 65.074 | 8 | — | 8 | — | 13 | — | 63 | 7.9 | 129 | 103.109 | 37.5 | — | 0 | — | buyers_market | falling | 2026-05 | c3a9fb94e373811c |
| 2012-01 | USA | 01021 | Chilton County | AL | Alabama | 13820 | Birmingham, AL | 128,900 | 112.181 | 115.93 | -3.752 | 111,200 | 61.92 | 9 | 12.5 | 9 | 12.5 | 28 | 12 | 165 | 18.3 | 313 | 89.651 | 0 | — | 0 | — | buyers_market | surging | 2026-05 | 1eb216fd4757172c |
| 2012-01 | USA | 01027 | Clay County | AL | Alabama | NA | Alabama nonmetropolitan area | 7,000 | — | — | -3.752 | 125,000 | 6.034 | 1 | — | 1 | — | 3 | — | 8 | 8 | 63 | 70.707 | 0 | — | 0 | — | buyers_market | falling | 2026-05 | 576135832d415d3d |
| 2012-01 | USA | 01029 | Cleburne County | AL | Alabama | NA | Alabama nonmetropolitan area | 53,200 | — | — | -3.752 | 122,000 | 33.333 | 4 | — | 4 | — | 2 | — | 19 | 4.8 | 219 | 80.288 | 25 | — | 0 | — | balanced | falling | 2026-05 | f1659cfe134e7cc1 |
- Current
20260929T170823Z-de645ca04416 · sha256 de645ca04416…
459,648 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/redfin_county_housing_velocity_intel/us_county_housing_velocity_monthly" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/redfin_county_housing_velocity_intel/us_county_housing_velocity_monthly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/redfin_county_housing_velocity_intel/us_county_housing_velocity_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.
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Cite this snapshot
Pinned to snapshot 20260929T170823Z-de645ca04416 and its content hash, so readers get exactly the data you used.
APA
Redfin. (2026). US county housing-velocity intelligence (monthly) [Data set, snapshot 20260929T170823Z-de645ca04416, sha256 de645ca04416]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/redfin_county_housing_velocity_intel/us_county_housing_velocity_monthly?snapshot=20260929T170823Z-de645ca04416
BibTeX
@misc{dz_redfin_county_housing_velocity_intel_us__de645ca0,
title = {{US county housing-velocity intelligence (monthly)}},
author = {{Redfin}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/redfin_county_housing_velocity_intel/us_county_housing_velocity_monthly?snapshot=20260929T170823Z-de645ca04416}},
note = {Snapshot 20260929T170823Z-de645ca04416, sha256 de645ca044161bb6efeed0a8ddbc110b1852604fd8d88d71a65d433f2f6c8b16; accessed 2026-09-30}
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