# All Employees: Private Service Providing — PA (statewide) (NSA)

All Employees: Private Service Providing — PA (statewide) (NSA) was up 0.8% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 4,672.4 thousands.
Over the past ten years it has ranged from −19.8% (Apr 2020) to 17.0% (Apr 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-pa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4,672.4 thousands | 0.8 |
| August 2026 | 4,674.3 thousands | 1.2 |
| July 2026 | 4,675.1 thousands | 1.1 |
| June 2026 | 4,691.6 thousands | 1.1 |
| May 2026 | 4,676.8 thousands | 0.7 |
| April 2026 | 4,654.8 thousands | 0.7 |
| March 2026 | 4,611.6 thousands | 0.3 |
| February 2026 | 4,586.7 thousands | 0.5 |
| January 2026 | 4,589.6 thousands | 0.8 |
| December 2025 | 4,678.1 thousands | 0.5 |
| November 2025 | 4,670.8 thousands | 0.4 |
| October 2025 | 4,667.4 thousands | 0.6 |
| September 2025 | 4,633.8 thousands | 0.4 |
| August 2025 | 4,616.6 thousands | 0.6 |
| July 2025 | 4,622.8 thousands | 0.7 |
| June 2025 | 4,639.7 thousands | 0.7 |
| May 2025 | 4,643.4 thousands | 0.8 |
| April 2025 | 4,620.5 thousands | 0.8 |
| March 2025 | 4,596.2 thousands | 0.7 |
| February 2025 | 4,565.0 thousands | 0.8 |
| January 2025 | 4,552.4 thousands | 1.0 |
| December 2024 | 4,653.6 thousands | 0.9 |
| November 2024 | 4,650.8 thousands | 1.0 |
| October 2024 | 4,638.4 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```