# All Employees: Service-Providing — CO (statewide) (NSA)

All Employees: Service-Providing — CO (statewide) (NSA) was up 0.4% year on year in September 2026, compared with 0.03% in August 2026.
The level stood at 2,620.2 thousands.
Over the past ten years it has ranged from −12.7% (Apr 2020) to 12.6% (Apr 2021), averaging 1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CO.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-co-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,620.2 thousands | 0.4 |
| August 2026 | 2,624.7 thousands | 0.03 |
| July 2026 | 2,626.2 thousands | 0.2 |
| June 2026 | 2,628.6 thousands | 0.8 |
| May 2026 | 2,612.0 thousands | −0.03 |
| April 2026 | 2,606.2 thousands | −0.01 |
| March 2026 | 2,590.3 thousands | −0.07 |
| February 2026 | 2,585.6 thousands | −0.2 |
| January 2026 | 2,583.6 thousands | −0.3 |
| December 2025 | 2,625.1 thousands | −0.3 |
| November 2025 | 2,614.1 thousands | −0.2 |
| October 2025 | 2,616.6 thousands | −0.02 |
| September 2025 | 2,608.9 thousands | −0.08 |
| August 2025 | 2,623.9 thousands | 0.2 |
| July 2025 | 2,621.2 thousands | 0.1 |
| June 2025 | 2,609.0 thousands | −1.1 |
| May 2025 | 2,612.8 thousands | 0.02 |
| April 2025 | 2,606.4 thousands | 0.04 |
| March 2025 | 2,592.2 thousands | −0.4 |
| February 2025 | 2,589.9 thousands | −0.2 |
| January 2025 | 2,591.8 thousands | 0.7 |
| December 2024 | 2,632.8 thousands | 0.5 |
| November 2024 | 2,620.2 thousands | 0.7 |
| October 2024 | 2,617.2 thousands | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CO.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CO.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```