# All Employees: Employment Services — Denver-Aurora-Centennial, CO (NSA)

All Employees: Employment Services — Denver-Aurora-Centennial, CO (NSA) was down 2.5% year on year in September 2026, compared with −0.4% in August 2026.
The level stood at 27.00 thousands.
Over the past ten years it has ranged from −29.1% (Apr 2020) to 32.6% (Jul 2021), averaging −0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19740.PAYEMS.M.NSA.IND-60561300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-employment-services-denver-aurora-centennial-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 27.00 thousands | −2.5 |
| August 2026 | 27.20 thousands | −0.4 |
| July 2026 | 26.80 thousands | 0.4 |
| June 2026 | 26.80 thousands | 2.3 |
| May 2026 | 26.60 thousands | −1.8 |
| April 2026 | 26.20 thousands | −3.0 |
| March 2026 | 25.80 thousands | 0.0 |
| February 2026 | 25.30 thousands | −3.1 |
| January 2026 | 25.40 thousands | −3.4 |
| December 2025 | 26.30 thousands | −11.7 |
| November 2025 | 26.30 thousands | −13.2 |
| October 2025 | 27.40 thousands | −9.9 |
| September 2025 | 27.70 thousands | −7.4 |
| August 2025 | 27.30 thousands | −6.8 |
| July 2025 | 26.70 thousands | −6.3 |
| June 2025 | 26.20 thousands | −13.5 |
| May 2025 | 27.10 thousands | −9.4 |
| April 2025 | 27.00 thousands | −9.1 |
| March 2025 | 25.80 thousands | −13.1 |
| February 2025 | 26.10 thousands | −12.1 |
| January 2025 | 26.30 thousands | −9.3 |
| December 2024 | 29.80 thousands | −1.0 |
| November 2024 | 30.30 thousands | −2.6 |
| October 2024 | 30.40 thousands | −5.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-60561300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-60561300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```