# All Employees: Total Nonfarm — OR (statewide) (SA)

All Employees: Total Nonfarm — OR (statewide) (SA) was down 0.07% year on year in September 2026, compared with −0.6% in August 2026.
The level stood at 1,973.9 thousands.
That is the highest reading since February 2025.
Over the past ten years it has ranged from −13.4% (Apr 2020) to 10.3% (Apr 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-OR.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-or-statewide-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,973.9 thousands | −0.07 |
| August 2026 | 1,968.1 thousands | −0.6 |
| July 2026 | 1,965.5 thousands | −0.8 |
| June 2026 | 1,967.3 thousands | −0.8 |
| May 2026 | 1,966.0 thousands | −1.0 |
| April 2026 | 1,963.5 thousands | −1.2 |
| March 2026 | 1,962.9 thousands | −1.1 |
| February 2026 | 1,967.2 thousands | −1.0 |
| January 2026 | 1,974.1 thousands | −1.0 |
| December 2025 | 1,972.5 thousands | −1.1 |
| November 2025 | 1,972.4 thousands | −1.0 |
| October 2025 | 1,970.4 thousands | −1.3 |
| September 2025 | 1,975.2 thousands | −1.1 |
| August 2025 | 1,980.8 thousands | −0.6 |
| July 2025 | 1,981.2 thousands | −0.5 |
| June 2025 | 1,983.9 thousands | −0.5 |
| May 2025 | 1,986.2 thousands | −0.3 |
| April 2025 | 1,987.0 thousands | −0.2 |
| March 2025 | 1,984.3 thousands | −0.2 |
| February 2025 | 1,986.6 thousands | 0.05 |
| January 2025 | 1,993.1 thousands | 0.8 |
| December 2024 | 1,995.3 thousands | 0.3 |
| November 2024 | 1,992.8 thousands | 0.2 |
| October 2024 | 1,996.5 thousands | 0.5 |

## API

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

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