# All Employees: Government — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA)

All Employees: Government — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA) was up 0.0% year on year in September 2026, compared with 1.4% in August 2026.
The level stood at 352.2 thousands.
Over the past ten years it has ranged from −4.5% (Dec 2020) to 2.7% (Jan 2024), averaging 0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37980.PAYEMS.M.NSA.IND-90000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-government-philadelphia-camden-wilmington-pa-nj-de-md-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 352.2 thousands | 0.0 |
| August 2026 | 334.5 thousands | 1.4 |
| July 2026 | 333.0 thousands | 0.5 |
| June 2026 | 352.1 thousands | 0.8 |
| May 2026 | 356.2 thousands | 0.4 |
| April 2026 | 356.9 thousands | 0.3 |
| March 2026 | 357.5 thousands | 0.5 |
| February 2026 | 355.4 thousands | 0.4 |
| January 2026 | 350.4 thousands | −0.03 |
| December 2025 | 357.0 thousands | 0.4 |
| November 2025 | 357.9 thousands | 0.5 |
| October 2025 | 355.4 thousands | 0.7 |
| September 2025 | 352.2 thousands | 1.1 |
| August 2025 | 329.9 thousands | 0.4 |
| July 2025 | 331.3 thousands | 1.7 |
| June 2025 | 349.3 thousands | 1.2 |
| May 2025 | 354.7 thousands | 1.7 |
| April 2025 | 355.9 thousands | 1.8 |
| March 2025 | 355.8 thousands | 1.7 |
| February 2025 | 354.1 thousands | 1.6 |
| January 2025 | 350.5 thousands | 2.6 |
| December 2024 | 355.6 thousands | 2.0 |
| November 2024 | 356.0 thousands | 2.0 |
| October 2024 | 352.8 thousands | 2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-90000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-90000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```