# All Employees: Total Nonfarm — Philadelphia, PA Metropolitan Division (SA)

All Employees: Total Nonfarm — Philadelphia, PA Metropolitan Division (SA) was up 0.2% year on year in September 2026, compared with 0.09% in August 2026.
The level stood at 1,027.7 thousands.
Over the past ten years it has ranged from −16.2% (Apr 2020) to 10.8% (Apr 2021), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37964.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-philadelphia-pa-metropolitan-division-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,027.7 thousands | 0.2 |
| August 2026 | 1,028.1 thousands | 0.09 |
| July 2026 | 1,023.7 thousands | −0.2 |
| June 2026 | 1,024.1 thousands | −0.2 |
| May 2026 | 1,025.4 thousands | 0.08 |
| April 2026 | 1,026.1 thousands | 0.1 |
| March 2026 | 1,024.7 thousands | −0.02 |
| February 2026 | 1,023.4 thousands | 0.0 |
| January 2026 | 1,029.1 thousands | 0.6 |
| December 2025 | 1,027.3 thousands | 0.8 |
| November 2025 | 1,023.6 thousands | 0.6 |
| October 2025 | 1,024.4 thousands | 0.8 |
| September 2025 | 1,025.5 thousands | 1.0 |
| August 2025 | 1,027.2 thousands | 1.3 |
| July 2025 | 1,025.4 thousands | 1.4 |
| June 2025 | 1,025.9 thousands | 1.2 |
| May 2025 | 1,024.6 thousands | 1.3 |
| April 2025 | 1,024.9 thousands | 1.3 |
| March 2025 | 1,024.9 thousands | 1.5 |
| February 2025 | 1,023.4 thousands | 1.2 |
| January 2025 | 1,023.0 thousands | 1.7 |
| December 2024 | 1,019.6 thousands | 1.1 |
| November 2024 | 1,017.6 thousands | 1.0 |
| October 2024 | 1,015.8 thousands | 0.8 |

## API

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

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