# FRED (Federal Reserve Economic Data)

493,110 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`.

```python
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` | 50,319 |
| `money_banking_finance` | 8,051 |
| `national_accounts` | 53,911 |
| `population_employment_labor_markets` | 4,862 |
| `prices` | 7,668 |
| `production_business_activity` | 31,403 |
| `u_s_regional_data` | 320,268 |

## 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.