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

All Employees: Social Assistance — Philadelphia, PA Metropolitan Division (NSA) was up 1.3% year on year in September 2026, compared with 1.3% in August 2026.
The level stood at 88.70 thousands.
Over the past ten years it has ranged from −7.2% (Apr 2020) to 12.2% (Sep 2022), averaging 7.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37964.PAYEMS.M.NSA.IND-65624000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-social-assistance-philadelphia-pa-metropolitan-division

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 88.70 thousands | 1.3 |
| August 2026 | 88.40 thousands | 1.3 |
| July 2026 | 88.10 thousands | 1.0 |
| June 2026 | 89.50 thousands | 3.8 |
| May 2026 | 89.40 thousands | 3.7 |
| April 2026 | 89.20 thousands | 4.1 |
| March 2026 | 88.70 thousands | 4.2 |
| February 2026 | 88.70 thousands | 5.3 |
| January 2026 | 89.00 thousands | 6.5 |
| December 2025 | 89.20 thousands | 5.7 |
| November 2025 | 88.50 thousands | 5.5 |
| October 2025 | 88.00 thousands | 6.0 |
| September 2025 | 87.60 thousands | 6.2 |
| August 2025 | 87.30 thousands | 6.2 |
| July 2025 | 87.20 thousands | 6.3 |
| June 2025 | 86.20 thousands | 4.9 |
| May 2025 | 86.20 thousands | 5.9 |
| April 2025 | 85.70 thousands | 6.5 |
| March 2025 | 85.10 thousands | 6.4 |
| February 2025 | 84.20 thousands | 6.6 |
| January 2025 | 83.60 thousands | 7.0 |
| December 2024 | 84.40 thousands | 7.8 |
| November 2024 | 83.90 thousands | 9.0 |
| October 2024 | 83.00 thousands | 8.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37964.PAYEMS.M.NSA.IND-65624000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37964.PAYEMS.M.NSA.IND-65624000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```