US business-formation signals (entrepreneurship pipeline gauges)
Weekly US business-formation signals from Census Bureau Business Formation Statistics (FRED BUSAPPWNSAUS + HBUSAPPWNSAUS, 2006 ->): total and high-propensity business applications with 13-week momentum, year-on-year change, 30-week change volatility, 3-sigma anomaly flags, naive-drift forecasts, and the high-propensity share of applications (the quality mix of the startup pipeline). The entry-margin lens on the US business cycle — applications lead formations, and high-propensity applications lead employer births. Companion to us-labor-market-signals (established firms) and us-state-coincident-activity-signals (output). All rows normalized to country_code USA. Raw series: U.S. Census Bureau Business Formation Statistics via FRED.
Qualité
Attribution
U.S. Census Bureau Business Formation Statistics via FRED; signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD, weekly ending Saturday). |
| country | string | |
| country_code | string | |
| series_id | string | BUSAPP: Business Applications for the United States (FRED BUSAPPWNSAUS); HBUSAPP: High-Propensity Business Applications (FRED HBUSAPPWNSAUS). Both from the U.S. Census Bureau Business Formation Statistics. |
| series_label | string | BUSAPP: all applications for an Employer Identification Number (EIN), the broadest entrepreneurship gauge. HBUSAPP: the subset with characteristics (corporation, hiring intent, planned wages, business name) that make them likely to become employer businesses (Census BFS definitions). |
| value | float | Number of business applications in the week (count). BUSAPP includes all EIN applications except tax liens, estates, trusts, certain financial filings, and applications with no state-county geocodes; see Census BFS 'About the Data'. |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| high_propensity_share | float | |
| share_momentum | float | |
| share_z_2y | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | high_propensity_share | share_momentum | share_z_2y |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-01-07 | United States | USA | BUSAPP | Business Applications for the United States (weekly, ending Saturday; count) | 39250 | — | — | — | 0 | — | 59.210191082802545 | — | — |
| 2006-01-14 | United States | USA | BUSAPP | Business Applications for the United States (weekly, ending Saturday; count) | 36820 | — | — | — | 0 | — | 64.69310157523086 | — | — |
| 2006-01-21 | United States | USA | BUSAPP | Business Applications for the United States (weekly, ending Saturday; count) | 62920 | — | — | — | 0 | — | 60.91862682771774 | — | — |
| 2006-01-28 | United States | USA | BUSAPP | Business Applications for the United States (weekly, ending Saturday; count) | 51520 | — | — | — | 0 | — | 61.06366459627329 | — | — |
| 2006-02-04 | United States | USA | BUSAPP | Business Applications for the United States (weekly, ending Saturday; count) | 60890 | — | — | — | 0 | — | 59.97700771883725 | — | — |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/business_formation_signals/us_business_formation_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/business_formation_signals/us_business_formation_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/business_formation_signals/us_business_formation_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.