US highway mobility intelligence from FHWA vehicle-miles (monthly)
Monthly US vehicle-miles-traveled (VMT) on all roads and streets, 2000-01 to 2026-07 (319 months), from the Federal Highway Administration's keyless Traffic Volume Trends reports (SAVMT sheet: national raw and seasonally adjusted VMT in millions). Each row carries raw and seasonally adjusted VMT, year-over-year change, month-over-month change on the adjusted series, the trailing 12-month moving average and deviation from it, a 12-month rolling z-score, the trailing 12-month moving total, a record-high flag, and a documented 0-100 mobility_score (50 + 2.5*clip(dev_vs_ma12_pct,-10,10) + 5*clip(z12,-2.5,2.5)) with quintile tiers. Method: the latest monthly TVT workbook is fetched, the SAVMT sheet is parsed with fail-loud gates (monthly continuity, positive VMT, SA within 40% of raw, no duplicate months), and features are derived deterministically. Caveats: TVT estimates come from ~5,000 counting locations and are revised annually — recent months are preliminary; the series lags ~2 months; the April 2020 COVID trough is a genuine observation. FHWA data are U.S. federal public domain (17 U.S.C. 105); commercial use allowed with attribution.
- Rows
- 319
- Columns
- 17
- Source cadence
- Monthly
- Last refreshed
- Sep 30, 2026
- Theme
- transport
| Column | Type | Description |
|---|---|---|
| year_month | string | Reference month (YYYY-MM). The join key; monthly continuity is fail-loud gated (no gaps). (unit: ISO year-month) |
| country_code | string | ISO alpha-3 country code (always USA — national panel). (unit: ISO 3166-1 alpha-3) |
| vmt_raw_m | float | Vehicle-miles-traveled on all US roads and streets, not seasonally adjusted, as published by FHWA. (unit: millions of vehicle miles) |
| vmt_sa_m | float | Seasonally adjusted VMT (FHWA VMT_D11 series). (unit: millions of vehicle miles) |
| yoy_pct | float | Year-over-year percent change of raw VMT vs the same month one year earlier (null for the first 12 months). (unit: percent) |
| mom_sa_pct | float | Month-over-month percent change of seasonally adjusted VMT (null for the first month). (unit: percent) |
| ma12_sa_m | float | Trailing 12-month moving average of seasonally adjusted VMT (null for the first 11 months). (unit: millions of vehicle miles) |
| dev_vs_ma12_pct | float | Deviation of seasonally adjusted VMT from its trailing 12-month moving average, in percent (null for the first 11 months). (unit: percent) |
| z12 | float | 12-month rolling z-score of seasonally adjusted VMT (population std; null for the first 11 months). (unit: standard deviations) |
| vmt_12m_total_m | float | Trailing 12-month moving total of raw VMT (null for the first 11 months). (unit: millions of vehicle miles) |
| is_record_high_sa | integer | 1 when the month's seasonally adjusted VMT is the highest observed up to and including that month. |
| mobility_score | float | Documented 0-100 composite: 50 + 2.5*clip(dev_vs_ma12_pct,-10,10) + 5*clip(z12,-2.5,2.5), clipped to [0,100]. 50 = on-trend; higher = above-trend mobility. Null for the first 11 months (no 12-month baseline). Descriptive, not a forecast. (unit: 0-100) |
| mobility_tier | string | Quintile label of mobility_score: very_low (<20), low (<40), normal (<60), high (<80), very_high (>=80). |
| source_url | string | The FHWA Traffic Volume Trends program page behind the series (provenance). |
| observed_date | string | Date the TVT workbook was read (ISO date). (unit: ISO date) |
| as_of | string | Build date of the panel (ISO date). (unit: ISO date) |
| row_hash | string | Deterministic 16-hex row identity: sha256('FHWA-VMT|<year_month>|<vmt_raw>|<vmt_sa>'). |
First 10 sample rows — a preview, not the complete dataset.
| year_month | country_code | vmt_raw_m | vmt_sa_m | yoy_pct | mom_sa_pct | ma12_sa_m | dev_vs_ma12_pct | z12 | vmt_12m_total_m | is_record_high_sa | mobility_score | mobility_tier | source_url | observed_date | as_of | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | USA | 203,442 | 227,235 | — | — | — | — | — | — | 1 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | a0e4c54661d7d0bc |
| 2000-02 | USA | 199,261 | 228,727 | — | 0.66 | — | — | — | — | 1 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | 0bff53e5f015c766 |
| 2000-03 | USA | 232,490 | 230,237 | — | 0.66 | — | — | — | — | 1 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | a9c57c98c4e04bcc |
| 2000-04 | USA | 227,698 | 229,068 | — | -0.51 | — | — | — | — | 0 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | 9970355fa69fe1c7 |
| 2000-05 | USA | 242,501 | 229,651 | — | 0.25 | — | — | — | — | 0 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | 8e0ababa76c6099e |
| 2000-06 | USA | 242,963 | 230,024 | — | 0.16 | — | — | — | — | 0 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | 636756365fa351fd |
| 2000-07 | USA | 245,140 | 228,840 | — | -0.51 | — | — | — | — | 0 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | b2b6425d9f8416d5 |
| 2000-08 | USA | 247,832 | 229,339 | — | 0.22 | — | — | — | — | 0 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | 9e564c3c08bbcd0e |
| 2000-09 | USA | 227,899 | 231,166 | — | 0.8 | — | — | — | — | 1 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | 9cddc0265ce4802f |
| 2000-10 | USA | 236,491 | 230,372 | — | -0.34 | — | — | — | — | 0 | — | — | https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm | 2026-09-30 | 2026-09-30 | bc7fcd229897808b |
- Current
20260930T120236Z-071fc242b048 · sha256 071fc242b048…
319 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/fhwa_vmt_mobility_intel/us_vmt_mobility_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fhwa_vmt_mobility_intel/us_vmt_mobility_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/fhwa_vmt_mobility_intel/us_vmt_mobility_monthly
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 20260930T120236Z-071fc242b048 and its content hash, so readers get exactly the data you used.
U.S. Federal Highway Administration, Traffic Volume Trends. (2026). US highway mobility intelligence from FHWA vehicle-miles (monthly) [Data set, snapshot 20260930T120236Z-071fc242b048, sha256 071fc242b048]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/fhwa_vmt_mobility_intel/us_vmt_mobility_monthly?snapshot=20260930T120236Z-071fc242b048
@misc{dz_fhwa_vmt_mobility_intel_us_vmt_mobility__071fc242,
title = {{US highway mobility intelligence from FHWA vehicle-miles (monthly)}},
author = {{U.S. Federal Highway Administration, Traffic Volume Trends}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/fhwa_vmt_mobility_intel/us_vmt_mobility_monthly?snapshot=20260930T120236Z-071fc242b048}},
note = {Snapshot 20260930T120236Z-071fc242b048, sha256 071fc242b04825420ba718bb9ab96c1ac379c6f1795b12da0513cf30066e46a7; accessed 2026-09-30}
}Embed a table or a chart
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