macro-recession / README.md
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metadata
license: other
license_name: public-domain-source-us-government
pretty_name: 'US Macro Data: Recession'
language:
  - en
tags:
  - finance
  - economics
  - macroeconomics
  - time-series
  - fred
  - recession
  - quant
  - backtesting
size_categories:
  - 1K<n<10K
configs:
  - config_name: long
    data_files: data/long.parquet
    default: true
  - config_name: wide_daily
    data_files: data/wide_daily.parquet
  - config_name: wide_monthly
    data_files: data/wide_monthly.parquet
  - config_name: wide_quarterly
    data_files: data/wide_quarterly.parquet

US macro data: Recession (13 series)

13 recession series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-03 on) of each series' latest values. It is refreshed weekly.

import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-recession/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-recession/data/wide_daily.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-recession"). Wide tables by frequency: wide_daily (3 series), wide_monthly (7 series), wide_quarterly (3 series). series.csv lists every series with its title, units, frequency and how far back the full history goes.

The full history, point in time, through one API

The FinzData API serves every series back to its first observation, every revision (what was known on any past date, so backtests do not peek at later revisions), and daily updates, in the same format:

import finzdata as fz                     # pip install finzdata
c = fz.Client()                           # free API key: https://api.finzdata.com/
c.macro("SAHMREALTIME")                        # full history, latest values
c.macro("SAHMREALTIME", vintage="first")       # as first released
c.macro("SAHMREALTIME", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="recession")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
SAHMREALTIME Real-time Sahm Rule Recession Indicator Percentage Points Monthly 1959
RECPROUSM156N Smoothed U.S. Recession Probabilities Percent Monthly 1967
USREC NBER based Recession Indicators for the United States from the Period following the Peak through the Trough +1 or 0 Monthly 1854
SAHMCURRENT Sahm Rule Recession Indicator Percentage Points Monthly 1949
JHDUSRGDPBR Dates of U.S. recessions as inferred by GDP-based recession indicator +1 or 0 Quarterly 1967
JHGDPBRINDX GDP-Based Recession Indicator Index Percentage Points Quarterly 1967
USRECD NBER based Recession Indicators for the United States from the Period following the Peak through the Trough +1 or 0 Daily, 7-Day 1854
USRECDM NBER based Recession Indicators for the United States from the Peak through the Trough +1 or 0 Daily, 7-Day 1854
USRECQ NBER based Recession Indicators for the United States from the Period following the Peak through the Trough +1 or 0 Quarterly 1854
USRECDP NBER based Recession Indicators for the United States from the Peak through the Period preceding the Trough +1 or 0 Daily, 7-Day 1854
USRECM NBER based Recession Indicators for the United States from the Peak through the Trough +1 or 0 Monthly 1854
RECRISKUSP50 Recession Probability for the United States, Median Estimate Percent Monthly 1980
USRECP NBER based Recession Indicators for the United States from the Peak through the Period preceding the Trough +1 or 0 Monthly 1854

All 13 series: series.csv. Browse them at https://finzdata.com/macro/category/recession.

More from FinzData

Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. Data for research, not investment advice.