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Labor Employment Level

Nonfarm Payrolls Chart

158,858
July 2026 Employment Level
Updated July 2026

Track current nonfarm payroll employment, the prior month, the monthly jobs change, and recent BLS history with source references.

Short answer

Total nonfarm payrolls is the Bureau of Labor Statistics count of paid U.S. employees outside farming, private households, and a few other categories, published monthly from the Current Employment Statistics survey. This page shows the seasonally adjusted employment level in thousands of persons, the change from the prior month, and the change from a year earlier, each traced back to the BLS series and the warehouse tables it was loaded through.

158,423158,734159,044Feb 2026May 2026Jul 2026thousands of personsLatest: 158,858
Total nonfarm payroll employment from the BLS Current Employment Statistics public data feed, seasonally adjusted, in thousands of persons.

Last 12 months

Latest twelve BLS observations from the page-pack pull, in thousands of persons.

PeriodPayroll employment (thousands)Note
July 2026158,858Final
June 2026158,881Final
May 2026159,001Final
April 2026158,829Final
March 2026158,637Final
February 2026158,466Final
Catalog lineageThis page is built from a catalog-linked BLS curve_series resource. The page-pack walks from the stat page to the displayed payroll curve, L1 fact filters, staging model, source external tables, provider, and data channel.
1
ProviderBlsSource page
2
ChannelApiSource page
3
Staging Modelstg_curves_bls_public_data_data
4
L1 Factl1_fact_point where BLS_ECON_SERIES / CES0000000001
5
Curve SeriesAll Employees, Total Nonfarm Payrolls
6
Stat Pagenonfarm-payrolls
Every number above traces to its source. We build the same lineage for the numbers your team relies on, with each value pulled, tracked, and kept current.Book a discovery call
-23K
Monthly Change
Difference between the latest and prior published monthly payroll employment readings, in thousands of jobs.
158,881
Prior Month
Payroll employment in the prior published month, in thousands of persons.
n/a
Year-over-Year Change
Difference versus the same month one year earlier, in thousands of jobs.

Understanding Nonfarm Payrolls

What this page shows

This page tracks total nonfarm payroll employment from the BLS Current Employment Statistics survey. The headline value is the seasonally adjusted all-employees series for total private and government payroll employment.

Why nonfarm payrolls matter

Office-backed CMBS, rates, credit, and operating-company analysis all depend on labor demand. Payroll employment is one of the clearest monthly signals for hiring momentum, tenant demand, and macro-cycle pressure.

How to use it

Use the headline value for the latest employment level, the change cards for monthly and yearly movement, the history table for recent observations, and the lineage section to inspect source, channel, and warehouse binding.

Frequently asked questions

Which nonfarm payroll series is this?

This page uses BLS series CES0000000001: all employees, total nonfarm, seasonally adjusted. BLS publishes the values in thousands of persons and this page keeps that unit throughout.

What is the latest period shown?

The hero value is the most recent monthly observation available in the CMD+RVL warehouse pull from the BLS public API. BLS marks the two most recent months as preliminary until later revisions.

How is the monthly jobs change calculated?

The monthly change is the difference between the latest and prior BLS observations in the same series, shown in thousands of jobs. The year-over-year change compares the latest observation with the same month one year earlier.

Are the values job gains or the employment level?

The chart and history table show the employment level. The change cards are computed from the same underlying monthly series.

What you’re looking at

This page is a working outcome.

Everything above, including the live figure, lineage trail, and automatic refresh, is a working example of an Operated Monitor, one of the outcomes CMD+RVL runs for clients. We stand up the same against the numbers your decisions depend on:

Pulled from source

Connected straight to where your data lives, with lineage captured on every value so each number traces back to where it came from.

Always current

Refreshed on a schedule and monitored, so the figure you cite is the figure that is true today, not last quarter’s spreadsheet.

Defensible

A standing record of what each number was and when, with the evidence to prove what you knew and when you knew it.

Turn public macro data into monitored decision inputs

Track labor-market values with the same source lineage, refresh discipline, and auditability used for client monitors.Book a discovery call