EMRATIO: US Employment-Population Ratio Monthly Data from FRED (1948–2026)

The US Employment-Population Ratio answers the simplest question in labor statistics — what share of adults have a job — monthly since 1948. It requires no definition of “looking for work,” no participation boundary, no unemployment concept: employed divided by adult population. The peak is 64.7% (April 2000), the pandemic trough 51.2% (April 2020) — the lowest reading in the entire series — and mid-2026 stands at 59.0%.

Dataset: US Employment-Population Ratio (1948–2026) · Updated 2026-06-01

Source: US Bureau of Labor Statistics, Current Population Survey · FRED series EMRATIO

Macro Takeaway

Dataset Overview

Dataset Variables

The CSV and Excel files contain the following columns.

A value of 59.0 means 59% of the adult civilian population was employed.

Download the Complete Dataset

The full dataset is available in CSV and Excel formats.

FRED Direct CSV Access

The underlying data is available from FRED under series code EMRATIO:

https://fred.stlouisfed.org/graph/fredgraph.csv?id=EMRATIO

Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/employment-population-ratio.csv

This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.

Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/employment-population-ratio.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(f"Latest E/P ratio: {df['emp_pop_ratio'].iloc[-1]:.1f}%")
print(df.tail())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/employment-population-ratio.csv"
df <- read_csv(url)

tail(df)
summary(df$emp_pop_ratio)

Both examples load the dataset directly from the URL — no download or API key required.

Methodology

The ratio divides civilian employment (CPS household survey) by the civilian noninstitutional population 16 and over. Employment counts any paid work in the reference week, including part-time; the population base excludes active-duty military and the institutionalized, with no upper age bound.

It is published monthly in the Employment Situation report alongside the unemployment and participation rates from the same survey.

This dataset is updated daily (Mon–Sat, 08:00 UTC) via automated pull from the FRED API; new observations appear with each source release.

Data Quality & Provider Notes

• Release latency. First Friday after the reference month, with the jobs report.
• Revisions policy. Annual seasonal revisions; January population-control steps (census-based denominator updates) create non-economic level breaks.
• Survey basis. CPS household sample — ±0.1pp monthly noise; the ratio is not benchmarked to payroll counts and can diverge from establishment data for months.
• Headcount, not hours. One hour of paid work counts as employed; shifts between full- and part-time are invisible — pair with U-6 for that margin.
• Known gaps. None; continuous monthly since 1948.

Common Pitfalls When Using the Employment-Population Ratio

1. Comparing today’s level to 2000 as pure slack. The 64.7% record was set with boomers in prime age; today’s demographics cap the achievable headline far lower. Prime-age E/P is the comparable series.
2. Treating E/P as immune to composition. It escapes labor-force definitions, not demographics — the denominator ages regardless.
3. Ignoring the hours margin. A shift from full- to part-time work leaves the ratio unchanged; it counts jobs, not labor input.
4. Reading household-survey noise as trend. Monthly E/P moves diverge from payrolls routinely; three-month averages align the two surveys’ signal.

Historical Regimes

1948–1975 — The 55–58% band. The ratio tracked the single-earner household norm for three decades, dipping toward 55% in recessions.

1976–2000 — The great climb. Women’s employment lifted E/P nearly ten points to the all-time peak of 64.7% (April 2000) — the largest structural employment expansion in the record.

2001–2007 — The first ratchet down. The dot-com recession cut the ratio to ~62% and the recovery never regained the peak — the first cycle where demographics visibly capped the rebound.

2008–2019 — Collapse and the long repair. The GFC drove E/P to ~58.2% and it stagnated for years — the ’employment gap’ at the center of that decade’s policy debate — before a slow climb back to 61.1% by February 2020, with prime-age E/P fully recovered.

2020–2023 — The cliff and the sprint back. 51.2% in April 2020 — the series low — followed by the fastest recovery on record to 60.4% (March 2023), with prime-age E/P setting multi-decade highs.

2024–2026 — Demographic drift. The headline eased to 59.0% as retirements compound — a decline that coexists with historically strong prime-age employment, the era’s defining composition effect.

Related Macroeconomic Datasets

E/P summarizes participation and unemployment in one number; its companions are below.

Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

Sources

• US Bureau of Labor Statistics — Current Population Survey, employment-population ratio
• Federal Reserve Bank of St. Louis — FRED series EMRATIO

Dataset Reference