FRED (Federal Reserve Economic Data)
518,458 series so far, most popular first; more are added as the pull continues.
Long format: series_id, date, value (missing values are null). Metadata (title, units, frequency, seasonal adjustment, category, dates, notes) in fred/catalog.parquet.
import pandas as pd
cat = pd.read_parquet('hf://datasets/syncster-data/economic-data/fred/catalog.parquet')
df = pd.read_parquet('hf://datasets/syncster-data/economic-data/fred/<category>/') # e.g. money_banking_finance
unrate = df[df.series_id == 'UNRATE']
| folder | series |
|---|---|
academic_data |
16,628 |
international_data |
56,812 |
money_banking_finance |
8,137 |
national_accounts |
54,441 |
population_employment_labor_markets |
20,181 |
prices |
8,010 |
production_business_activity |
32,770 |
u_s_regional_data |
321,479 |
Credit
Source: FRED, Federal Reserve Bank of St. Louis, https://fred.stlouisfed.org/. Many series originate with other agencies (BLS, BEA, Census, Federal Reserve Board, etc.); credit the original source shown in each series description. Some series are copyrighted by third parties; those are flagged in the catalog license column. This product uses the FRED API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.