# All Employees: Government — Philadelphia, PA Metropolitan Division (NSA)

All Employees: Government — Philadelphia, PA Metropolitan Division (NSA) was down 0.8% year on year in September 2026, compared with −1.3% in August 2026.
The level stood at 132.7 thousands.
Over the past ten years it has ranged from −3.9% (Mar 2021) to 5.1% (Aug 2024), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37964.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-pa-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 132.7 thousands | −0.8 |
| August 2026 | 129.8 thousands | −1.3 |
| July 2026 | 127.2 thousands | −1.6 |
| June 2026 | 130.9 thousands | −0.9 |
| May 2026 | 131.0 thousands | −1.3 |
| April 2026 | 131.6 thousands | −1.3 |
| March 2026 | 131.8 thousands | −1.1 |
| February 2026 | 131.5 thousands | −1.4 |
| January 2026 | 131.1 thousands | −1.7 |
| December 2025 | 132.5 thousands | −1.1 |
| November 2025 | 132.7 thousands | −0.7 |
| October 2025 | 132.0 thousands | −0.5 |
| September 2025 | 133.8 thousands | 1.1 |
| August 2025 | 131.5 thousands | 1.2 |
| July 2025 | 129.3 thousands | 2.7 |
| June 2025 | 132.1 thousands | 1.4 |
| May 2025 | 132.7 thousands | 1.9 |
| April 2025 | 133.3 thousands | 2.0 |
| March 2025 | 133.3 thousands | 1.4 |
| February 2025 | 133.4 thousands | 1.6 |
| January 2025 | 133.3 thousands | 2.0 |
| December 2024 | 134.0 thousands | 2.6 |
| November 2024 | 133.7 thousands | 2.1 |
| October 2024 | 132.6 thousands | 2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37964.PAYEMS.M.NSA.IND-90000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37964.PAYEMS.M.NSA.IND-90000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```