US state housing-vacancy slack panel (Census HVS, annual by state)
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Annual US housing-vacancy slack panel by state, 1986 onward: Census Housing Vacancy Survey rental and homeowner vacancy rates for all 50 states + DC, keyless via FRED fredgraph.csv. Carries YoY percentage-point changes, trailing-10-year z-scores vs each state's own history, a documented 0-100 housing_slack_score (within-year min-max of clipped z-scores; higher = more vacant units, weaker housing demand), a within-year slack_rank, cross-state median benchmarks and spreads, and a trailing-10-year-high flag. The grid is complete 1986 -> latest with zero gaps — any hole fails loudly. Who joins this: retailers read state+year slack as a local demand regime (discount vs pricing power); subscription businesses weight churn-risk by slack_rank; sales teams prioritize tight markets.
- Rows
- 2,040
- Columns
- 21
- Source cadence
- Yearly
- Last refreshed
- Oct 1, 2026
- Theme
- housing
| Column | Type | Description |
|---|---|---|
| date | date | Reference year, January 1 (panel join key). One row per state per year, 1986 onward, no gaps — a missing year fails the ingest loudly. (unit: date) |
| year | integer | Calendar year (HVS annual). (unit: year) |
| state_abbreviation | string | USPS 2-letter state/District code (50 states + DC). Join key for state-level merges. (unit: string) |
| state_name | string | State/District name. (unit: string) |
| country | string | Country name (shared normalization layer). (unit: string) |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). (unit: string) |
| rental_vacancy_rate | float | Rental vacancy rate: percent of the rental inventory vacant and available for rent (HVS). The binding demand-leg measure: null in-grid fails loudly. (unit: percent) |
| homeowner_vacancy_rate | float | Homeowner vacancy rate: percent of the homeowner inventory vacant and for sale (HVS). (unit: percent) |
| rental_vacancy_yoy_pp | float | Year-over-year change in the rental vacancy rate, percentage points. Positive = more slack. (unit: percentage_points) |
| homeowner_vacancy_yoy_pp | float | Year-over-year change in the homeowner vacancy rate, percentage points. (unit: percentage_points) |
| rental_vacancy_z10 | float | Rental vacancy z-score vs the state's own trailing 10-year mean/std. Null until 10 observations exist or when the trailing std is 0. (unit: z-score) |
| homeowner_vacancy_z10 | float | Homeowner vacancy z-score vs the state's own trailing 10-year mean/std. Null until 10 observations exist or when the trailing std is 0. (unit: z-score) |
| housing_slack_score | float | Documented 0-100 slack score: within-year min-max of clip(z_rental, -3, 3) and clip(z_homeowner, -3, 3), averaged x100. Higher = more vacant units relative to history = weaker local housing demand. Null before 1996 (needs 10 years of history). (unit: score_0_100) |
| slack_rank | integer | Within-year rank of housing_slack_score, 1 = slackest state that year. (unit: rank) |
| us_median_rental_vacancy | float | Cross-state median rental vacancy rate for the year — the documented robust national benchmark. (unit: percent) |
| us_median_homeowner_vacancy | float | Cross-state median homeowner vacancy rate for the year. (unit: percent) |
| rental_vacancy_vs_us_median_pp | float | State rental vacancy minus the yearly cross-state median, percentage points. (unit: percentage_points) |
| homeowner_vacancy_vs_us_median_pp | float | State homeowner vacancy minus the yearly cross-state median, percentage points. (unit: percentage_points) |
| rental_vacancy_10y_high_flag | integer | 1 when the year's rental vacancy rate is the state's trailing-10-year maximum (local demand trough); else 0. (unit: flag) |
| provenance_url | string | Exact fredgraph.csv source URLs behind the row (rental leg; homeowner leg). (unit: url) |
| row_hash | string | Deterministic 16-hex SHA-256 of state + year + both vacancy rates (idempotency key). (unit: hash) |
First 10 sample rows — a preview, not the complete dataset.
| date | year | state_abbreviation | state_name | country | country_code | rental_vacancy_rate | homeowner_vacancy_rate | rental_vacancy_yoy_pp | homeowner_vacancy_yoy_pp | rental_vacancy_z10 | homeowner_vacancy_z10 | housing_slack_score | slack_rank | us_median_rental_vacancy | us_median_homeowner_vacancy | rental_vacancy_vs_us_median_pp | homeowner_vacancy_vs_us_median_pp | rental_vacancy_10y_high_flag | provenance_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1986-01-01 | 1,986 | AK | Alaska | United States | USA | 15.3 | 2.4 | — | — | — | — | — | — | 6.9 | 1.6 | 8.4 | 0.8 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=AKRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=AKHVAC | 6216a29861b4f88c |
| 1986-01-01 | 1,986 | AL | Alabama | United States | USA | 5 | 2.8 | — | — | — | — | — | — | 6.9 | 1.6 | -1.9 | 1.2 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALHVAC | 836611de8db26b98 |
| 1986-01-01 | 1,986 | AR | Arkansas | United States | USA | 7.4 | 1.8 | — | — | — | — | — | — | 6.9 | 1.6 | 0.5 | 0.2 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ARRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=ARHVAC | 2b6b71bdc194a39e |
| 1986-01-01 | 1,986 | AZ | Arizona | United States | USA | 13.1 | 2.2 | — | — | — | — | — | — | 6.9 | 1.6 | 6.2 | 0.6 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=AZRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=AZHVAC | 0cb98bc55b7ad066 |
| 1986-01-01 | 1,986 | CA | California | United States | USA | 4.9 | 1.1 | — | — | — | — | — | — | 6.9 | 1.6 | -2 | -0.5 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=CARVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=CAHVAC | c37cfac6a3e2b891 |
| 1986-01-01 | 1,986 | CO | Colorado | United States | USA | 13.6 | 2.6 | — | — | — | — | — | — | 6.9 | 1.6 | 6.7 | 1 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=CORVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=COHVAC | 6434f85672428750 |
| 1986-01-01 | 1,986 | CT | Connecticut | United States | USA | 5 | 0.4 | — | — | — | — | — | — | 6.9 | 1.6 | -1.9 | -1.2 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=CTRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=CTHVAC | 668c43ba5d42028a |
| 1986-01-01 | 1,986 | DC | District of Columbia | United States | USA | 3.5 | 2.5 | — | — | — | — | — | — | 6.9 | 1.6 | -3.4 | 0.9 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=DCRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=DCHVAC | 5a63440ada53eba1 |
| 1986-01-01 | 1,986 | DE | Delaware | United States | USA | 4.9 | 1.2 | — | — | — | — | — | — | 6.9 | 1.6 | -2 | -0.4 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=DERVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=DEHVAC | 159616511ff20d15 |
| 1986-01-01 | 1,986 | FL | Florida | United States | USA | 11 | 2.5 | — | — | — | — | — | — | 6.9 | 1.6 | 4.1 | 0.9 | 0 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=FLRVAC;https://fred.stlouisfed.org/graph/fredgraph.csv?id=FLHVAC | 622595b873a6b85b |
Profiled Oct 1, 2026 from snapshot 20261001T020110Z-5331fe4f0d83
Measured- Completeness
- 95.5%
- Rows
- 2,040
- Columns
- 21
- Columns with gaps
- 6
19862025
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| datedate | 0% | 43 | Jan 1, 1986 → Jan 1, 2025 | — |
| yearbigint | 0% | 39 | 1,986 → 2,025median 2,006 | |
| state_abbreviationvarchar | 0% | 55 | — |
|
| state_namevarchar | 0% | 59 | — |
|
| countryvarchar | 0% | 1 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| rental_vacancy_ratedouble | 0% | 127 | 2.2 → 25.8median 7.7 | 40 outside 1st–99th percentile |
| homeowner_vacancy_ratedouble | 0% | 46 | 0.2 → 5.6median 1.6 | 22 outside 1st–99th percentile |
| rental_vacancy_yoy_ppdouble | 2.5% | 256 | -15.2 → 5.8median 0 | 38 outside 1st–99th percentile |
| homeowner_vacancy_yoy_ppdouble | 2.5% | 110 | -1.8 → 2.3median 0 | 38 outside 1st–99th percentile |
| rental_vacancy_z10double | 22.5% | 1,875 | -2.52 → 2.7median -0.2351 | 32 outside 1st–99th percentile |
| homeowner_vacancy_z10double | 22.5% | 1,777 | -2.51 → 2.63median -0.3183 | 32 outside 1st–99th percentile |
| housing_slack_scoredouble | 22.5% | 1,383 | 0.0239 → 100median 42.69 | 32 outside 1st–99th percentile |
| slack_rankbigint | 22.5% | 45 | 1 → 51median 26 | |
| us_median_rental_vacancydouble | 0% | 21 | 5.9 → 10.3median 7.55 | |
| us_median_homeowner_vacancydouble | 0% | 13 | 0.7 → 2.4median 1.7 | |
| rental_vacancy_vs_us_median_ppdouble | 0% | 362 | -5.9 → 18.8median 0 | 39 outside 1st–99th percentile |
| homeowner_vacancy_vs_us_median_ppdouble | 0% | 117 | -1.4 → 4median 0 | 36 outside 1st–99th percentile |
| rental_vacancy_10y_high_flagbigint | 0% | 2 | 0 → 1median 0 | |
| provenance_urlvarchar | 0% | 46 | — |
|
| row_hashvarchar | 0% | 1,871 | — |
|
- Current
20261001T020110Z-5331fe4f0d83 · sha256 5331fe4f0d83…
2,040 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/census_hvs_vacancy_slack_intel/us_state_housing_vacancy_annual" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/census_hvs_vacancy_slack_intel/us_state_housing_vacancy_annual").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/census_hvs_vacancy_slack_intel/us_state_housing_vacancy_annual
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20261001T020110Z-5331fe4f0d83 and its content hash, so readers get exactly the data you used.
APA
US State Housing-Vacancy Slack Intelligence (Census HVS, keyless). (2026). US state housing-vacancy slack panel (Census HVS, annual by state) [Data set, snapshot 20261001T020110Z-5331fe4f0d83, sha256 5331fe4f0d83]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/census_hvs_vacancy_slack_intel/us_state_housing_vacancy_annual?snapshot=20261001T020110Z-5331fe4f0d83
BibTeX
@misc{dz_census_hvs_vacancy_slack_intel_us_state__5331fe4f,
title = {{US state housing-vacancy slack panel (Census HVS, annual by state)}},
author = {{US State Housing-Vacancy Slack Intelligence (Census HVS, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/census_hvs_vacancy_slack_intel/us_state_housing_vacancy_annual?snapshot=20261001T020110Z-5331fe4f0d83}},
note = {Snapshot 20261001T020110Z-5331fe4f0d83, sha256 5331fe4f0d83207731cfca20a424a784ab0a4aea359819295e320e76ea195659; accessed 2026-10-01}
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<iframe src="https://datazimuts.com/embed/chart?dataset=census_hvs_vacancy_slack_intel%2Fus_state_housing_vacancy_annual&lang=en&theme=auto&snapshot=20261001T020110Z-5331fe4f0d83&x=date&y=year&agg=avg" title="US state housing-vacancy slack panel (Census HVS, annual by state)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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