US business formation pulse, weekly: Census BFS state panel

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Weekly US business-formation panel, 2006 week 1 onward: the U.S. Census Bureau's Business Formation Statistics weekly state applications feed (keyless CSV; 51 entities x ~1,080 weeks), not seasonally adjusted. Complements the catalog's business_formation_monthly (monthly seasonally-adjusted, trailing 36-month window): this is the WEEKLY NSA grain with the full 2006-to-present history, for week-level joins and long training windows. Raw series per state-week: business applications (BA), high-propensity (HBA), with-planned-wages (WBA), from-corporations (CBA), plus the Census-published year-over-year percent changes. Deterministic derived features: HBA/WBA/CBA composition shares, national share of weekly applications, trailing 13-week and 52-week means, momentum_z (13-week mean vs trailing-year mean, standardized), dynamism_score 0-100 (cross-sectional percentile composite of momentum_z and YoY change; 50 = median state), formation_regime (surge/expansion/contraction/slump), signed streak_weeks, and trailing-52-week new high/low flags. Structural gates (exact layout, 51-entity balanced panel, contiguous weekly grids, non-negative counts, HBA/WBA/CBA <= BA, dates never in the future, freshness) fail loudly, never imputed. Census methodology note: as of the January 2026 release, internet-sales applications are excluded from the HBA/CBA series for the full time series. Who joins this: sales teams join week_end + state to time outreach into formation hotbeds; online shops read dynamism_score as a local-demand pulse; subscription businesses use momentum_z and hba_share as SMB-formation features for churn and expansion models.

Source: US Business Formation (Census BFS weekly state panel, keyless)
Rows: 54,927
Columns: 27
Source cadence: Monthly
Last refreshed: Oct 1, 2026
Theme: economy

Column	Type	Description
week_start	string	First day (Sunday) of the Census reference week (ISO YYYY-MM-DD). (unit: date)
week_end	string	Last day (Saturday) of the Census reference week (ISO YYYY-MM-DD); the weekly join key. (unit: date)
state_code	string	USPS state postal code (50 states + DC). (unit: string)
state_name	string	State name (entity-resolved from the postal code). (unit: string)
country	string	Country name (shared normalization layer). (unit: string)
country_code	string	ISO 3166-1 alpha-3 country code (USA). (unit: string)
ba_nsa	integer	Business Applications (not seasonally adjusted): all applications for an EIN on IRS Form SS-4, per Census. (unit: count)
hba_nsa	integer	High-Propensity Business Applications: applications with characteristics indicating a high likelihood of becoming an employer business, per Census. Since the January 2026 release, internet-sales applications are excluded for the full series. (unit: count)
wba_nsa	integer	Business Applications with Planned Wages, per Census. (unit: count)
cba_nsa	integer	Business Applications from Corporations, per Census. Since the January 2026 release, internet-sales applications are excluded for the full series. (unit: count)
yy_ba	float	Year-over-year percent change of BA_NSA versus the same week of the prior year, as published by the Census Bureau. Null in the first data year and whenever Census publishes no comparison. (unit: percent)
yy_hba	float	Year-over-year percent change of HBA_NSA, as published by the Census Bureau (nulls as for yy_ba). (unit: percent)
yy_wba	float	Year-over-year percent change of WBA_NSA, as published by the Census Bureau (nulls as for yy_ba). (unit: percent)
yy_cba	float	Year-over-year percent change of CBA_NSA, as published by the Census Bureau (nulls as for yy_ba). (unit: percent)
hba_share	float	HBA/BA: share of the week's applications carrying high-propensity employer-formation signal. (unit: ratio 0-1)
wba_share	float	WBA/BA: share of the week's applications with planned wages. (unit: ratio 0-1)
cba_share	float	CBA/BA: share of the week's applications filed by corporations. (unit: ratio 0-1)
national_share_ba	float	The state's BA divided by the 51-entity national weekly total: the state's footprint in that week's US startup flow. (unit: ratio 0-1)
ba_13w_ma	float	Trailing 13-week mean of weekly BA per state (min_periods=13). Null for the first 12 weeks (warmup). (unit: count)
ba_52w_ma	float	Trailing 52-week mean of weekly BA per state (min_periods=52). Null for the first 51 weeks (warmup). (unit: count)
momentum_z	float	(ba_13w_ma - ba_52w_ma) / trailing-52-week std of weekly BA (ddof=1); 0.0 when the 52-week std is 0. Positive = the recent quarter runs hot versus the trailing year. Null for the first 51 weeks (warmup). (unit: z-score)
dynamism_score	float	0-100 cross-sectional percentile composite of the state's formation dynamism that week: mean of the available percentile ranks (average ties, x100) of momentum_z and yy_ba_pct across the 51 entities. 50 = median US state. Null for the first 51 weeks (warmup). (unit: score 0-100)
formation_regime	string	'surge' (dynamism_score >= 80), 'slump' (dynamism_score <= 20), else 'expansion' (momentum_z > 0) or 'contraction'. Score tiers take precedence. (unit: string)
streak_weeks	integer	Signed consecutive-week run of sign(momentum_z): +k = k hot weeks in a row, -k = k cold weeks in a row. Defined from the first non-null momentum_z. (unit: weeks (signed))
new_high_52w	boolean	True when ba_13w_ma is at or above its trailing-52-week maximum. Null for the first 63 weeks (warmup). (unit: boolean)
new_low_52w	boolean	True when ba_13w_ma is at or below its trailing-52-week minimum. Null for the first 63 weeks (warmup). (unit: boolean)
row_hash	string	Deterministic 16-hex sha256 of state_code + week_end + the four raw counts (idempotency key). (unit: string)

First 10 sample rows — a preview, not the complete dataset.

week_start	week_end	state_code	state_name	country	country_code	ba_nsa	hba_nsa	wba_nsa	cba_nsa	yy_ba	yy_hba	yy_wba	yy_cba	hba_share	wba_share	cba_share	national_share_ba	ba_13w_ma	ba_52w_ma	momentum_z	dynamism_score	formation_regime	streak_weeks	new_high_52w	new_low_52w	row_hash
2006-01-01	2006-01-07	AK	Alaska	United States	USA	90	60	50	30	—	—	—	—	0.667	0.556	0.333	0.002	—	—	—	—	—	—	—	—	06d98f2e869b5c7d
2006-01-08	2006-01-14	AK	Alaska	United States	USA	90	60	40	30	—	—	—	—	0.667	0.444	0.333	0.002	—	—	—	—	—	—	—	—	f7003bf4737f9c29
2006-01-15	2006-01-21	AK	Alaska	United States	USA	130	90	70	40	—	—	—	—	0.692	0.538	0.308	0.002	—	—	—	—	—	—	—	—	d1a0843a97c7394a
2006-01-22	2006-01-28	AK	Alaska	United States	USA	100	60	40	20	—	—	—	—	0.6	0.4	0.2	0.002	—	—	—	—	—	—	—	—	816b679ebfa8c92b
2006-01-29	2006-02-04	AK	Alaska	United States	USA	150	80	60	30	—	—	—	—	0.533	0.4	0.2	0.002	—	—	—	—	—	—	—	—	7a6941c0fbe74870
2006-02-05	2006-02-11	AK	Alaska	United States	USA	90	50	40	20	—	—	—	—	0.556	0.444	0.222	0.001	—	—	—	—	—	—	—	—	da7556dc10615de9
2006-02-12	2006-02-18	AK	Alaska	United States	USA	130	80	60	30	—	—	—	—	0.615	0.462	0.231	0.002	—	—	—	—	—	—	—	—	740b5d9486af8f7c
2006-02-19	2006-02-25	AK	Alaska	United States	USA	130	70	50	30	—	—	—	—	0.538	0.385	0.231	0.002	—	—	—	—	—	—	—	—	ec55b9c6f1357017
2006-02-26	2006-03-04	AK	Alaska	United States	USA	110	70	40	30	—	—	—	—	0.636	0.364	0.273	0.002	—	—	—	—	—	—	—	—	02022f6488657936
2006-03-05	2006-03-11	AK	Alaska	United States	USA	130	80	60	30	—	—	—	—	0.615	0.462	0.231	0.002	—	—	—	—	—	—	—	—	4eb057a795c62142

Profiled Oct 1, 2026 from snapshot 20261001T004520Z-78b8a9dd7d7c

Measured

Completeness: 97.9%
Rows: 54,927
Columns: 27
Columns with gaps: 12

Column	Missing	Distinct	Range	Distribution
week_startvarchar	0%	1,098	—	2006-01-0151 2006-01-0851 2006-01-1551
week_endvarchar	0%	1,115	—	2006-01-0751 2006-01-1451 2006-01-2151
state_codevarchar	0%	55	—	AK1,077 AL1,077 AR1,077
state_namevarchar	0%	59	—	Alabama1,077 Alaska1,077 Arizona1,077
countryvarchar	0%	1	—	United States54,927
country_codevarchar	0%	1	—	USA54,927
ba_nsabigint	0%	1,325	10 → 19,030median 780	978 outside 1st–99th percentile
hba_nsabigint	0%	583	0 → 6,830median 300	1,018 outside 1st–99th percentile
wba_nsabigint	0%	312	0 → 3,480median 130	740 outside 1st–99th percentile
cba_nsabigint	0%	376	0 → 4,100median 80	548 outside 1st–99th percentile
yy_badouble	5.1%	8,732	-93.13 → 1,778median 3.3	1,041 outside 1st–99th percentile
yy_hbadouble	5.1%	4,879	-100 → 2,000median 0	1,032 outside 1st–99th percentile
yy_wbadouble	5.1%	2,804	-100 → 1,400median 0	894 outside 1st–99th percentile
yy_cbadouble	5.1%	3,273	-100 → 1,800median 0	936 outside 1st–99th percentile
hba_sharedouble	0%	8,839	0 → 1median 0.3908	1,047 outside 1st–99th percentile
wba_sharedouble	0%	11,928	0 → 1median 0.1765	1,108 outside 1st–99th percentile
cba_sharedouble	0%	10,734	0 → 1median 0.125	1,084 outside 1st–99th percentile
national_share_badouble	0%	48,646	0.0009 → 0.1545median 0.0126	1,099 outside 1st–99th percentile
ba_13w_madouble	1.1%	8,191	66.15 → 16,514median 792.31	1,071 outside 1st–99th percentile
ba_52w_madouble	4.7%	13,829	77.5 → 13,716median 785.19	1,046 outside 1st–99th percentile
momentum_zdouble	4.7%	41,588	-1.32 → 1.5median -0.0104	1,048 outside 1st–99th percentile
dynamism_scoredouble	4.7%	348	1.96 → 100median 50.98	1,060 outside 1st–99th percentile
formation_regimevarchar	4.7%	4	—	contraction20,641 expansion19,299 surge6,701
streak_weeksbigint	4.7%	135	-41 → 103median -1	952 outside 1st–99th percentile
new_high_52wboolean	5.8%	2	—	false48,525 true3,189
new_low_52wboolean	5.8%	2	—	false50,389 true1,325
row_hashvarchar	0%	41,935	—	00004d150e6b96431 0000b4dbf30b43991 0002d9f4d8b6a6e91

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_bfs_formation_weekly_intel/us_business_formation_weekly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/census_bfs_formation_weekly_intel/us_business_formation_weekly").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_bfs_formation_weekly_intel/us_business_formation_weekly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261001T004520Z-78b8a9dd7d7c and its content hash, so readers get exactly the data you used.

APA

US Business Formation (Census BFS weekly state panel, keyless). (2026). US business formation pulse, weekly: Census BFS state panel [Data set, snapshot 20261001T004520Z-78b8a9dd7d7c, sha256 78b8a9dd7d7c]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/census_bfs_formation_weekly_intel/us_business_formation_weekly?snapshot=20261001T004520Z-78b8a9dd7d7c

BibTeX

@misc{dz_census_bfs_formation_weekly_intel_us_bus_78b8a9dd,
  title        = {{US business formation pulse, weekly: Census BFS state panel}},
  author       = {{US Business Formation (Census BFS weekly state panel, keyless)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/census_bfs_formation_weekly_intel/us_business_formation_weekly?snapshot=20261001T004520Z-78b8a9dd7d7c}},
  note         = {Snapshot 20261001T004520Z-78b8a9dd7d7c, sha256 78b8a9dd7d7c89a878b5fba2fa6985db070a4b052441fbf0c52e5eddd0272869; accessed 2026-10-01}
}

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US business formation pulse, weekly: Census BFS state panel

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