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

All Employees: State Government — Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (NSA) was up 0.9% year on year in September 2026, compared with 0.0% in August 2026.
The level stood at 58.50 thousands.
Over the past ten years it has ranged from −5.7% (Jul 2020) to 5.6% (Jan 2025), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37980.PAYEMS.M.NSA.IND-90920000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-state-government-philadelphia-camden-wilmington-pa-nj-de

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 58.50 thousands | 0.9 |
| August 2026 | 53.30 thousands | 0.0 |
| July 2026 | 53.40 thousands | 0.6 |
| June 2026 | 53.90 thousands | 0.2 |
| May 2026 | 59.30 thousands | 1.9 |
| April 2026 | 59.50 thousands | 0.7 |
| March 2026 | 59.90 thousands | 1.7 |
| February 2026 | 59.20 thousands | 2.8 |
| January 2026 | 56.90 thousands | 1.2 |
| December 2025 | 59.20 thousands | 1.7 |
| November 2025 | 59.40 thousands | 2.1 |
| October 2025 | 58.90 thousands | 2.3 |
| September 2025 | 58.00 thousands | 2.5 |
| August 2025 | 53.30 thousands | 4.3 |
| July 2025 | 53.10 thousands | 4.5 |
| June 2025 | 53.80 thousands | 1.1 |
| May 2025 | 58.20 thousands | 2.6 |
| April 2025 | 59.10 thousands | 2.1 |
| March 2025 | 58.90 thousands | 2.4 |
| February 2025 | 57.60 thousands | 1.2 |
| January 2025 | 56.20 thousands | 5.6 |
| December 2024 | 58.20 thousands | 1.6 |
| November 2024 | 58.20 thousands | 1.6 |
| October 2024 | 57.60 thousands | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37980.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```