# All Employees: Professional, Scientific, and Technical Services — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA)

All Employees: Professional, Scientific, and Technical Services — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA) was down 0.2% year on year in September 2026, compared with −0.1% in August 2026.
The level stood at 246.7 thousands.
Over the past ten years it has ranged from −4.6% (Apr 2020) to 6.9% (Mar 2022), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37980.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-us-37980-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 246.7 thousands | −0.2 |
| August 2026 | 249.0 thousands | −0.1 |
| July 2026 | 249.9 thousands | −0.5 |
| June 2026 | 249.8 thousands | −0.04 |
| May 2026 | 245.9 thousands | −0.8 |
| April 2026 | 247.7 thousands | −0.8 |
| March 2026 | 245.0 thousands | −1.9 |
| February 2026 | 244.1 thousands | −2.0 |
| January 2026 | 243.8 thousands | −2.1 |
| December 2025 | 248.1 thousands | −1.0 |
| November 2025 | 248.6 thousands | −0.6 |
| October 2025 | 249.5 thousands | −0.3 |
| September 2025 | 247.3 thousands | −0.7 |
| August 2025 | 249.3 thousands | −0.6 |
| July 2025 | 251.1 thousands | −0.3 |
| June 2025 | 249.9 thousands | −0.6 |
| May 2025 | 247.8 thousands | −0.6 |
| April 2025 | 249.8 thousands | −0.5 |
| March 2025 | 249.7 thousands | −0.9 |
| February 2025 | 249.2 thousands | −0.6 |
| January 2025 | 249.0 thousands | −0.4 |
| December 2024 | 250.7 thousands | −1.0 |
| November 2024 | 250.0 thousands | −1.1 |
| October 2024 | 250.3 thousands | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```