# All Employees: Services to Buildings and Dwellings — PA (statewide) (NSA)

All Employees: Services to Buildings and Dwellings — PA (statewide) (NSA) was down 3.5% year on year in September 2026, compared with −4.9% in August 2026.
The level stood at 80.00 thousands.
Over the past ten years it has ranged from −18.1% (Apr 2020) to 18.9% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-60561700`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-services-to-buildings-and-dwellings-pa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 80.00 thousands | −3.5 |
| August 2026 | 80.70 thousands | −4.9 |
| July 2026 | 82.50 thousands | −4.0 |
| June 2026 | 82.40 thousands | −4.5 |
| May 2026 | 80.10 thousands | −5.9 |
| April 2026 | 78.70 thousands | −3.2 |
| March 2026 | 72.80 thousands | −0.3 |
| February 2026 | 71.80 thousands | 6.8 |
| January 2026 | 71.60 thousands | 7.3 |
| December 2025 | 75.20 thousands | 3.2 |
| November 2025 | 80.80 thousands | 2.9 |
| October 2025 | 82.00 thousands | 1.4 |
| September 2025 | 82.90 thousands | 0.5 |
| August 2025 | 84.90 thousands | 0.8 |
| July 2025 | 85.90 thousands | 0.9 |
| June 2025 | 86.30 thousands | 0.2 |
| May 2025 | 85.10 thousands | 1.4 |
| April 2025 | 81.30 thousands | 1.4 |
| March 2025 | 73.00 thousands | 0.7 |
| February 2025 | 67.20 thousands | 1.4 |
| January 2025 | 66.70 thousands | 2.1 |
| December 2024 | 72.90 thousands | 2.2 |
| November 2024 | 78.50 thousands | 2.1 |
| October 2024 | 80.90 thousands | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-60561700"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-60561700",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```