# All Employees: Total Nonfarm — CO (statewide) (NSA)

All Employees: Total Nonfarm — CO (statewide) (NSA) was up 0.5% year on year in September 2026, compared with 0.1% in August 2026.
The level stood at 2,977.9 thousands.
Over the past ten years it has ranged from −11.9% (Apr 2020) to 11.3% (Apr 2021), averaging 1.4%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CO.PAYEMS.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1966-01-01 to 2026-09-01 (729 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-co-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,977.9 thousands | 0.5 |
| August 2026 | 2,982.9 thousands | 0.1 |
| July 2026 | 2,986.7 thousands | 0.3 |
| June 2026 | 2,988.0 thousands | 0.8 |
| May 2026 | 2,964.6 thousands | −0.05 |
| April 2026 | 2,956.1 thousands | −0.05 |
| March 2026 | 2,937.2 thousands | −0.2 |
| February 2026 | 2,932.0 thousands | −0.2 |
| January 2026 | 2,926.6 thousands | −0.5 |
| December 2025 | 2,975.4 thousands | −0.5 |
| November 2025 | 2,964.9 thousands | −0.4 |
| October 2025 | 2,972.4 thousands | −0.2 |
| September 2025 | 2,961.9 thousands | −0.3 |
| August 2025 | 2,979.7 thousands | −0.08 |
| July 2025 | 2,977.9 thousands | −0.2 |
| June 2025 | 2,964.3 thousands | −1.3 |
| May 2025 | 2,966.2 thousands | −0.2 |
| April 2025 | 2,957.5 thousands | −0.07 |
| March 2025 | 2,942.3 thousands | −0.4 |
| February 2025 | 2,938.7 thousands | −0.2 |
| January 2025 | 2,941.4 thousands | 0.7 |
| December 2024 | 2,989.6 thousands | 0.6 |
| November 2024 | 2,978.2 thousands | 0.8 |
| October 2024 | 2,977.3 thousands | 0.8 |

## API

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

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