# All Employees: Professional, Scientific, and Technical Services — Denver-Aurora-Centennial, CO (NSA)

All Employees: Professional, Scientific, and Technical Services — Denver-Aurora-Centennial, CO (NSA) was up 2.2% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 183.8 thousands.
That is the highest reading since September 2023.
Over the past ten years it has ranged from −1.5% (Jun 2025) to 11.4% (Apr 2022), averaging 3.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19740.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-denver

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 183.8 thousands | 2.2 |
| August 2026 | 184.6 thousands | 1.2 |
| July 2026 | 184.2 thousands | 0.0 |
| June 2026 | 183.0 thousands | 0.7 |
| May 2026 | 182.7 thousands | 0.1 |
| April 2026 | 183.9 thousands | −0.5 |
| March 2026 | 180.9 thousands | −1.0 |
| February 2026 | 184.1 thousands | 0.1 |
| January 2026 | 185.0 thousands | 0.8 |
| December 2025 | 184.3 thousands | 0.5 |
| November 2025 | 183.5 thousands | 0.05 |
| October 2025 | 185.1 thousands | 1.1 |
| September 2025 | 179.8 thousands | −0.5 |
| August 2025 | 182.4 thousands | −0.4 |
| July 2025 | 184.2 thousands | −0.2 |
| June 2025 | 181.7 thousands | −1.5 |
| May 2025 | 182.5 thousands | −0.9 |
| April 2025 | 184.8 thousands | 1.0 |
| March 2025 | 182.8 thousands | −0.3 |
| February 2025 | 183.9 thousands | 0.9 |
| January 2025 | 183.5 thousands | 2.1 |
| December 2024 | 183.3 thousands | 1.3 |
| November 2024 | 183.4 thousands | 1.0 |
| October 2024 | 183.0 thousands | 0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
