# United States All employees, thousands, museums, not seasonally adjusted

United States All employees, thousands, museums, not seasonally adjusted was up 0.2% year on year in September 2026, compared with 2.5% in August 2026.
The level stood at 107.5 thousands.
That is the lowest reading since April 2021.
Over the past ten years it has ranged from −31.0% (Aug 2020) to 20.2% (Mar 2022), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-70712110`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-museums-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 107.5 thousands | 0.2 |
| August 2026 | 111.8 thousands | 2.5 |
| July 2026 | 113.6 thousands | 2.4 |
| June 2026 | 111.9 thousands | 2.8 |
| May 2026 | 107.3 thousands | 2.3 |
| April 2026 | 104.7 thousands | 3.6 |
| March 2026 | 102.1 thousands | 2.3 |
| February 2026 | 100.3 thousands | 0.8 |
| January 2026 | 102.3 thousands | 3.6 |
| December 2025 | 106.0 thousands | 3.2 |
| November 2025 | 106.2 thousands | 3.8 |
| October 2025 | 106.9 thousands | 4.8 |
| September 2025 | 107.3 thousands | 5.4 |
| August 2025 | 109.1 thousands | 3.2 |
| July 2025 | 110.9 thousands | 2.8 |
| June 2025 | 108.8 thousands | 2.6 |
| May 2025 | 104.9 thousands | 3.1 |
| April 2025 | 101.1 thousands | 1.8 |
| March 2025 | 99.80 thousands | 1.7 |
| February 2025 | 99.50 thousands | 2.9 |
| January 2025 | 98.70 thousands | 2.9 |
| December 2024 | 102.7 thousands | 3.6 |
| November 2024 | 102.3 thousands | 1.9 |
| October 2024 | 102.0 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-70712110"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-70712110",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```