# All Employees: Professional, Scientific, and Technical Services — Washington-Arlington-Alexandria, DC-VA-MD-WV (NSA)

All Employees: Professional, Scientific, and Technical Services — Washington-Arlington-Alexandria, DC-VA-MD-WV (NSA) was down 2.3% year on year in September 2026, compared with −3.0% in August 2026.
The level stood at 512.0 thousands.
That is the highest reading since March 2025.
Over the past ten years it has ranged from −6.6% (Jan 2026) to 3.5% (Aug 2022), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47900.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-washington-us-47900-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 512.0 thousands | −2.3 |
| August 2026 | 516.9 thousands | −3.0 |
| July 2026 | 522.2 thousands | −3.3 |
| June 2026 | 516.8 thousands | −4.1 |
| May 2026 | 512.0 thousands | −5.0 |
| April 2026 | 515.2 thousands | −5.2 |
| March 2026 | 511.0 thousands | −5.9 |
| February 2026 | 515.1 thousands | −6.4 |
| January 2026 | 515.9 thousands | −6.6 |
| December 2025 | 523.8 thousands | −5.4 |
| November 2025 | 525.4 thousands | −5.6 |
| October 2025 | 525.8 thousands | −5.6 |
| September 2025 | 524.3 thousands | −5.2 |
| August 2025 | 533.1 thousands | −4.5 |
| July 2025 | 540.2 thousands | −4.0 |
| June 2025 | 539.1 thousands | −3.5 |
| May 2025 | 539.0 thousands | −3.0 |
| April 2025 | 543.4 thousands | −2.6 |
| March 2025 | 543.3 thousands | −2.3 |
| February 2025 | 550.4 thousands | −1.6 |
| January 2025 | 552.4 thousands | −1.1 |
| December 2024 | 553.9 thousands | −1.0 |
| November 2024 | 556.4 thousands | −0.9 |
| October 2024 | 556.7 thousands | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47900.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47900.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```