# All Employees: Trade, Transportation, and Utilities — PA (statewide) (NSA)

All Employees: Trade, Transportation, and Utilities — PA (statewide) (NSA) was up 0.3% year on year in September 2026, compared with −0.2% in August 2026.
The level stood at 1,129.9 thousands.
That is the highest reading since June 2023.
Over the past ten years it has ranged from −18.0% (Apr 2020) to 18.2% (Apr 2021), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-pa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,129.9 thousands | 0.3 |
| August 2026 | 1,119.5 thousands | −0.2 |
| July 2026 | 1,116.6 thousands | −0.6 |
| June 2026 | 1,123.7 thousands | −0.6 |
| May 2026 | 1,125.6 thousands | −0.6 |
| April 2026 | 1,120.8 thousands | −0.6 |
| March 2026 | 1,118.7 thousands | −1.1 |
| February 2026 | 1,115.4 thousands | −1.3 |
| January 2026 | 1,131.7 thousands | −0.7 |
| December 2025 | 1,172.0 thousands | −0.4 |
| November 2025 | 1,158.7 thousands | −0.6 |
| October 2025 | 1,142.3 thousands | −0.3 |
| September 2025 | 1,126.8 thousands | −0.6 |
| August 2025 | 1,121.2 thousands | −0.3 |
| July 2025 | 1,123.6 thousands | −0.06 |
| June 2025 | 1,130.8 thousands | −0.05 |
| May 2025 | 1,132.8 thousands | −0.08 |
| April 2025 | 1,127.6 thousands | 0.02 |
| March 2025 | 1,131.6 thousands | 0.1 |
| February 2025 | 1,130.3 thousands | 0.2 |
| January 2025 | 1,140.1 thousands | −0.1 |
| December 2024 | 1,176.8 thousands | 0.0 |
| November 2024 | 1,165.2 thousands | −0.1 |
| October 2024 | 1,146.0 thousands | 0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
