# All Employees: Transit and Ground Passenger Transportation — PA (statewide) (NSA)

All Employees: Transit and Ground Passenger Transportation — PA (statewide) (NSA) was up 4.5% year on year in September 2026, compared with 5.2% in August 2026.
The level stood at 39.50 thousands.
Over the past ten years it has ranged from −55.6% (Jul 2020) to 71.7% (Jul 2021), averaging 1.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-43485000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-transit-and-ground-passenger-transportation-pa-statewide

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 39.50 thousands | 4.5 |
| August 2026 | 26.50 thousands | 5.2 |
| July 2026 | 26.20 thousands | 6.1 |
| June 2026 | 31.00 thousands | −1.6 |
| May 2026 | 38.10 thousands | 0.3 |
| April 2026 | 38.00 thousands | 0.3 |
| March 2026 | 37.90 thousands | 0.5 |
| February 2026 | 38.00 thousands | 1.6 |
| January 2026 | 38.60 thousands | 4.0 |
| December 2025 | 39.10 thousands | 3.7 |
| November 2025 | 38.90 thousands | 3.2 |
| October 2025 | 38.70 thousands | 3.2 |
| September 2025 | 37.80 thousands | 2.4 |
| August 2025 | 25.20 thousands | 4.1 |
| July 2025 | 24.70 thousands | 6.0 |
| June 2025 | 31.50 thousands | 5.4 |
| May 2025 | 38.00 thousands | 2.7 |
| April 2025 | 37.90 thousands | 2.7 |
| March 2025 | 37.70 thousands | 2.2 |
| February 2025 | 37.40 thousands | 2.2 |
| January 2025 | 37.10 thousands | 2.2 |
| December 2024 | 37.70 thousands | 4.1 |
| November 2024 | 37.70 thousands | 4.1 |
| October 2024 | 37.50 thousands | 3.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-43485000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-43485000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
