US selected-services revenue intelligence (quarterly)
Quarterly revenue intelligence for the U.S. services economy from the Census Bureau's Quarterly Services Survey (QSS), Table 1a (seasonally adjusted), fetched keyless from the official www2.census.gov bulk workbooks. One row per (2017-NAICS industry, quarter), 2023Q3 -> the latest published quarter (~135 industries x 12+ quarters): revenue in millions of USD (seasonally adjusted), a preliminary/revised status, quarter-over-quarter and year-over-year percent changes recomputed from the levels, share of the selected-services total, and a trailing-12-quarter record-high flag. The panel is revision-aware: each workbook carries 6 quarters and overlapping quarters take the latest-published value, so preliminary estimates are superseded by revisions. Census suppression cells ('S', confidentiality) are kept as honest nulls, never imputed. Caveats: estimates are seasonally adjusted — use the derived momentum columns, not raw quarter shapes, for seasonality-sensitive reads; 2017 NAICS basis only (earlier 2012-basis history is excluded by design); publication lag is about one quarter; 'Selected Services' is the QSS scope (sectors 22, 48-49, 51-56, 61, 62, 71, 72, 81), not the whole economy. U.S. federal public domain (commercial reuse allowed); source: U.S. Census Bureau, Quarterly Services Survey.
- Source
- U.S. Census Bureau
- Rows
- 1,620
- Columns
- 16
- Source cadence
- Quarterly
- Last refreshed
- Oct 2, 2026
- Theme
- economics
| Column | Type | Description |
|---|---|---|
| quarter | string | Reference quarter, YYYY-Qn (e.g. 2026-Q2). (unit: quarter) |
| quarter_start | string | First calendar day of the reference quarter (join key). (unit: ISO date) |
| country_code | string | ISO 3166-1 alpha-3 country code; always USA. (unit: alpha-3) |
| industry_key | string | Stable row identifier: the 2017 NAICS code ('5112'), the 'TOTAL' aggregate, or '<code>_taxable' / '<code>_taxexempt' for the taxable/tax-exempt splits the Census publishes for nonprofit-heavy industries. Partial-industry rows keep a '_pt' suffix (e.g. '5111_pt'). (unit: key) |
| naics_code | string | 2017 NAICS code (digits only, e.g. '4849' for '48-49'); null for the TOTAL aggregate row. (unit: NAICS 2017) |
| industry_label | string | Industry name as published (dot-leaders and footnote superscripts stripped). (unit: text) |
| tax_status | string | 'all' for the published industry total, 'taxable' / 'tax-exempt' for the split rows. (unit: enum) |
| naics_vintage | string | NAICS vintage of the classification; always '2017'. The 2012-basis history is excluded by design (see the dataset description). (unit: vintage) |
| revenue_musd | float | Total revenue, seasonally adjusted, millions of USD. Null where the Census suppresses the cell ('S', confidentiality) — never imputed. (unit: million USD (SA)) |
| status | string | 'preliminary' for the latest quarter in the newest workbook, 'revised' otherwise; revisions supersede preliminary values on refresh. (unit: enum) |
| qoq_pct | float | Quarter-over-quarter percent change, recomputed from the revenue levels (100*(rev/rev_prev-1)). Null for the first panel quarter and across suppression gaps. (unit: percent) |
| yoy_pct | float | Year-over-year percent change vs the same quarter one year earlier, recomputed from the levels. Null until 4 quarters of history exist and across suppression gaps. (unit: percent) |
| share_of_total_pct | float | Industry revenue as a percent of the Selected Services Total that quarter (100 for the TOTAL row by construction). (unit: percent) |
| record_high_12q_flag | integer | 1 when the quarter's revenue is the maximum of the trailing 12 quarters for that industry (inclusive). (unit: 0/1) |
| as_of | string | Latest quarter-end in the panel (panel vintage); pinned so re-runs on identical upstream data are byte-identical. (unit: ISO date) |
| row_hash | string | Deterministic sha256 (16 hex) of QSSREV|industry_key|quarter|revenue — changes only when the published value changes. (unit: hash) |
First 10 sample rows — a preview, not the complete dataset.
| quarter | quarter_start | country_code | industry_key | naics_code | industry_label | tax_status | naics_vintage | revenue_musd | status | qoq_pct | yoy_pct | share_of_total_pct | record_high_12q_flag | as_of | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-Q3 | 2023-07-01 | USA | 22 | 22 | Utilities4, | all | 2017 | 180,371 | revised | — | — | 3.413 | 1 | 2026-06-30 | 656302f64c73c98f |
| 2023-Q3 | 2023-07-01 | USA | 2211 | 2211 | Electric power generation, transmission and distribution | all | 2017 | 139,653 | revised | — | — | 2.643 | 1 | 2026-06-30 | 4daf763ed589268c |
| 2023-Q3 | 2023-07-01 | USA | 2212 | 2212 | Natural gas distribution | all | 2017 | 35,679 | revised | — | — | 0.675 | 1 | 2026-06-30 | b29d0885c74cf19f |
| 2023-Q3 | 2023-07-01 | USA | 2213 | 2213 | Water, sewage and other systems | all | 2017 | 5,039 | revised | — | — | 0.095 | 1 | 2026-06-30 | 8086e833089405d0 |
| 2023-Q3 | 2023-07-01 | USA | 481 | 481 | Air transportation | all | 2017 | 67,974 | revised | — | — | 1.286 | 1 | 2026-06-30 | 1c6b808ecf884861 |
| 2023-Q3 | 2023-07-01 | USA | 483 | 483 | Water transportation | all | 2017 | 15,142 | revised | — | — | 0.287 | 1 | 2026-06-30 | 198e74d2984f2535 |
| 2023-Q3 | 2023-07-01 | USA | 4831 | 4831 | Deep sea, coastal, and Great Lakes water transportation | all | 2017 | 13,069 | revised | — | — | 0.247 | 1 | 2026-06-30 | 70311a516468398f |
| 2023-Q3 | 2023-07-01 | USA | 484 | 484 | Truck transportation | all | 2017 | 100,132 | revised | — | — | 1.895 | 1 | 2026-06-30 | 4c07a1a4a34ef761 |
| 2023-Q3 | 2023-07-01 | USA | 4841 | 4841 | General freight trucking | all | 2017 | 66,981 | revised | — | — | 1.267 | 1 | 2026-06-30 | 45ff86f8a2288a24 |
| 2023-Q3 | 2023-07-01 | USA | 48412 | 48412 | General freight trucking, long-distance | all | 2017 | 54,754 | revised | — | — | 1.036 | 1 | 2026-06-30 | 0d10c63d23005c2f |
Profiled Oct 2, 2026 from snapshot 20261002T050850Z-fe11f0b96bc7
Measured- Completeness
- 95.7%
- Rows
- 1,620
- Columns
- 16
- Columns with gaps
- 5
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| quartervarchar | 0% | 11 | — |
|
| quarter_startvarchar | 0% | 11 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| industry_keyvarchar | 0% | 114 | — |
|
| naics_codevarchar | 0.74% | 98 | — |
|
| industry_labelvarchar | 0% | 95 | — |
|
| tax_statusvarchar | 0% | 3 | — |
|
| naics_vintagevarchar | 0% | 1 | — |
|
| revenue_musddouble | 7% | 1,938 | 735 → 6,418,691median 43,812 | 32 outside 1st–99th percentile |
| statusvarchar | 0% | 2 | — |
|
| qoq_pctdouble | 15.7% | 872 | -16.36 → 22.28median 1.46 | 28 outside 1st–99th percentile |
| yoy_pctdouble | 38.9% | 830 | -14.23 → 54.55median 5.61 | 20 outside 1st–99th percentile |
| share_of_total_pctdouble | 7% | 1,026 | 0.012 → 100median 0.749 | 31 outside 1st–99th percentile |
| record_high_12q_flagbigint | 0% | 2 | 0 → 1median 1 | |
| as_ofvarchar | 0% | 1 | — |
|
| row_hashvarchar | 0% | 1,393 | — |
|
- Current
20261002T050850Z-fe11f0b96bc7 · sha256 fe11f0b96bc7…
1,620 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/census_qss_services_intel/us_services_revenue_quarterly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/census_qss_services_intel/us_services_revenue_quarterly").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_qss_services_intel/us_services_revenue_quarterly
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 20261002T050850Z-fe11f0b96bc7 and its content hash, so readers get exactly the data you used.
U.S. Census Bureau. (2026). US selected-services revenue intelligence (quarterly) [Data set, snapshot 20261002T050850Z-fe11f0b96bc7, sha256 fe11f0b96bc7]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/census_qss_services_intel/us_services_revenue_quarterly?snapshot=20261002T050850Z-fe11f0b96bc7
@misc{dz_census_qss_services_intel_us_services_re_fe11f0b9,
title = {{US selected-services revenue intelligence (quarterly)}},
author = {{U.S. Census Bureau}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/census_qss_services_intel/us_services_revenue_quarterly?snapshot=20261002T050850Z-fe11f0b96bc7}},
note = {Snapshot 20261002T050850Z-fe11f0b96bc7, sha256 fe11f0b96bc763a4afdaa9c981efbf03d6ad03a9cb0975eda784618ab5237564; accessed 2026-10-02}
}Embed a table or a chart
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<iframe src="https://datazimuts.com/embed/chart?dataset=census_qss_services_intel%2Fus_services_revenue_quarterly&lang=en&theme=auto&snapshot=20261002T050850Z-fe11f0b96bc7&x=quarter&y=revenue_musd&agg=avg" title="US selected-services revenue intelligence (quarterly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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