# United States All employees, thousands, marinas, seasonally adjusted

United States All employees, thousands, marinas, seasonally adjusted was up 12.5% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 45.00 thousands.
That is the highest reading since November 2021.
Over the past ten years it has ranged from −35.2% (Apr 2020) to 50.2% (Apr 2021), averaging 3.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-70713930`
- 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-marinas-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 45.00 thousands | 12.5 |
| August 2026 | 43.70 thousands | 3.3 |
| July 2026 | 42.20 thousands | 0.7 |
| June 2026 | 42.00 thousands | −0.9 |
| May 2026 | 43.70 thousands | 0.7 |
| April 2026 | 43.40 thousands | 4.3 |
| March 2026 | 44.10 thousands | 6.5 |
| February 2026 | 44.20 thousands | 6.2 |
| January 2026 | 45.00 thousands | 7.1 |
| December 2025 | 43.30 thousands | 3.1 |
| November 2025 | 42.30 thousands | 1.9 |
| October 2025 | 40.90 thousands | −3.1 |
| September 2025 | 40.00 thousands | −6.3 |
| August 2025 | 42.30 thousands | −1.2 |
| July 2025 | 41.90 thousands | −3.7 |
| June 2025 | 42.40 thousands | −0.5 |
| May 2025 | 43.40 thousands | 1.9 |
| April 2025 | 41.60 thousands | −1.7 |
| March 2025 | 41.40 thousands | −0.2 |
| February 2025 | 41.60 thousands | 2.0 |
| January 2025 | 42.00 thousands | 2.7 |
| December 2024 | 42.00 thousands | 4.0 |
| November 2024 | 41.50 thousands | 0.0 |
| October 2024 | 42.20 thousands | 5.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-70713930"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-70713930",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```