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

All Employees: Federal Government — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA) was down 6.4% year on year in September 2026, compared with −6.9% in August 2026.
The level stood at 51.50 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −10.3% (Jan 2026) to 10.6% (Sep 2020), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37980.PAYEMS.M.NSA.IND-90910000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-federal-government-philadelphia-camden-wilmington-pa-nj

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 51.50 thousands | −6.4 |
| August 2026 | 51.40 thousands | −6.9 |
| July 2026 | 51.30 thousands | −7.7 |
| June 2026 | 51.30 thousands | −7.6 |
| May 2026 | 51.10 thousands | −8.8 |
| April 2026 | 51.40 thousands | −9.2 |
| March 2026 | 51.50 thousands | −9.2 |
| February 2026 | 51.50 thousands | −9.6 |
| January 2026 | 51.40 thousands | −10.3 |
| December 2025 | 52.40 thousands | −8.7 |
| November 2025 | 52.60 thousands | −8.0 |
| October 2025 | 52.40 thousands | −8.1 |
| September 2025 | 55.00 thousands | −2.7 |
| August 2025 | 55.20 thousands | −2.5 |
| July 2025 | 55.60 thousands | −1.4 |
| June 2025 | 55.50 thousands | −1.2 |
| May 2025 | 56.00 thousands | 0.0 |
| April 2025 | 56.60 thousands | 0.9 |
| March 2025 | 56.70 thousands | 1.1 |
| February 2025 | 57.00 thousands | 1.4 |
| January 2025 | 57.30 thousands | 2.5 |
| December 2024 | 57.40 thousands | 2.7 |
| November 2024 | 57.20 thousands | 2.3 |
| October 2024 | 57.00 thousands | 2.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-90910000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-90910000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```