# All Employees: Service-Providing — Philadelphia, PA Metropolitan Division (NSA)

All Employees: Service-Providing — Philadelphia, PA Metropolitan Division (NSA) was up 0.1% year on year in September 2026, compared with 0.6% in August 2026.
The level stood at 973.6 thousands.
Over the past ten years it has ranged from −15.2% (Apr 2020) to 9.4% (Apr 2021), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37964.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-philadelphia-pa-metropolitan-division

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 973.6 thousands | 0.1 |
| August 2026 | 962.0 thousands | 0.6 |
| July 2026 | 958.6 thousands | 0.5 |
| June 2026 | 964.8 thousands | 0.2 |
| May 2026 | 969.1 thousands | 0.01 |
| April 2026 | 973.0 thousands | 0.07 |
| March 2026 | 966.8 thousands | −0.3 |
| February 2026 | 963.7 thousands | −0.2 |
| January 2026 | 961.0 thousands | 0.4 |
| December 2025 | 979.3 thousands | 0.6 |
| November 2025 | 979.1 thousands | 0.6 |
| October 2025 | 976.8 thousands | 0.9 |
| September 2025 | 972.6 thousands | 1.1 |
| August 2025 | 956.7 thousands | 1.5 |
| July 2025 | 953.8 thousands | 1.6 |
| June 2025 | 962.6 thousands | 1.4 |
| May 2025 | 969.0 thousands | 1.4 |
| April 2025 | 972.3 thousands | 1.4 |
| March 2025 | 970.1 thousands | 1.6 |
| February 2025 | 966.1 thousands | 1.4 |
| January 2025 | 957.6 thousands | 1.8 |
| December 2024 | 973.1 thousands | 1.1 |
| November 2024 | 973.6 thousands | 1.1 |
| October 2024 | 968.4 thousands | 0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37964.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37964.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```