# All Employees: Professional, Scientific, and Technical Services — DC (statewide) (NSA)

All Employees: Professional, Scientific, and Technical Services — DC (statewide) (NSA) was down 4.3% year on year in September 2026, compared with −5.5% in August 2026.
The level stood at 108.2 thousands.
That is the highest reading since February 2025.
Over the past ten years it has ranged from −7.0% (Dec 2025) to 3.9% (Sep 2022), averaging −0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-DC.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-dc-us-dc-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 108.2 thousands | −4.3 |
| August 2026 | 108.0 thousands | −5.5 |
| July 2026 | 110.5 thousands | −5.5 |
| June 2026 | 109.6 thousands | −6.2 |
| May 2026 | 108.5 thousands | −5.7 |
| April 2026 | 109.4 thousands | −5.4 |
| March 2026 | 110.3 thousands | −5.2 |
| February 2026 | 111.7 thousands | −5.4 |
| January 2026 | 110.8 thousands | −7.0 |
| December 2025 | 112.3 thousands | −7.0 |
| November 2025 | 112.5 thousands | −7.0 |
| October 2025 | 113.2 thousands | −6.4 |
| September 2025 | 113.1 thousands | −6.1 |
| August 2025 | 114.3 thousands | −5.7 |
| July 2025 | 116.9 thousands | −5.1 |
| June 2025 | 116.8 thousands | −5.2 |
| May 2025 | 115.0 thousands | −5.0 |
| April 2025 | 115.7 thousands | −4.9 |
| March 2025 | 116.4 thousands | −4.7 |
| February 2025 | 118.1 thousands | −3.6 |
| January 2025 | 119.1 thousands | −2.5 |
| December 2024 | 120.8 thousands | −2.3 |
| November 2024 | 121.0 thousands | −2.2 |
| October 2024 | 120.9 thousands | −1.8 |

## API

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

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