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

All Employees: Professional and Business Services — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA) was up 0.6% year on year in September 2026, compared with 1.8% in August 2026.
The level stood at 501.8 thousands.
Over the past ten years it has ranged from −9.1% (Apr 2020) to 10.0% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37980.PAYEMS.M.NSA.IND-60000000`
- 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-and-business-services-philadelphia-camden

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 501.8 thousands | 0.6 |
| August 2026 | 500.0 thousands | 1.8 |
| July 2026 | 500.6 thousands | 0.9 |
| June 2026 | 505.9 thousands | 0.7 |
| May 2026 | 503.2 thousands | −0.10 |
| April 2026 | 503.1 thousands | 0.4 |
| March 2026 | 493.3 thousands | −0.5 |
| February 2026 | 489.0 thousands | −0.3 |
| January 2026 | 489.1 thousands | −0.1 |
| December 2025 | 501.1 thousands | 0.2 |
| November 2025 | 501.3 thousands | −0.2 |
| October 2025 | 502.7 thousands | 0.2 |
| September 2025 | 498.8 thousands | 0.0 |
| August 2025 | 491.1 thousands | 0.04 |
| July 2025 | 495.9 thousands | 0.6 |
| June 2025 | 502.3 thousands | 0.6 |
| May 2025 | 503.7 thousands | 0.7 |
| April 2025 | 500.9 thousands | 0.3 |
| March 2025 | 496.0 thousands | −0.2 |
| February 2025 | 490.6 thousands | 0.4 |
| January 2025 | 489.7 thousands | 0.7 |
| December 2024 | 500.1 thousands | 0.6 |
| November 2024 | 502.2 thousands | 0.2 |
| October 2024 | 501.5 thousands | −0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```