# All Employees: Grocery and Convenience Retailers — PA (statewide) (NSA)

All Employees: Grocery and Convenience Retailers — PA (statewide) (NSA) was down 1.2% year on year in September 2026, compared with −1.4% in August 2026.
The level stood at 119.8 thousands.
Over the past ten years it has ranged from −4.1% (Apr 2020) to 4.8% (Apr 2021), averaging −0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-42445100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-grocery-and-convenience-retailers-pa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 119.8 thousands | −1.2 |
| August 2026 | 122.0 thousands | −1.4 |
| July 2026 | 122.0 thousands | −1.9 |
| June 2026 | 123.3 thousands | −0.7 |
| May 2026 | 122.8 thousands | −0.7 |
| April 2026 | 122.7 thousands | −0.6 |
| March 2026 | 122.3 thousands | −1.0 |
| February 2026 | 121.7 thousands | −1.2 |
| January 2026 | 122.8 thousands | −1.0 |
| December 2025 | 124.3 thousands | −0.4 |
| November 2025 | 123.2 thousands | −0.6 |
| October 2025 | 122.1 thousands | −0.4 |
| September 2025 | 121.3 thousands | −0.3 |
| August 2025 | 123.7 thousands | 0.0 |
| July 2025 | 124.3 thousands | −0.4 |
| June 2025 | 124.2 thousands | −0.6 |
| May 2025 | 123.7 thousands | −0.6 |
| April 2025 | 123.4 thousands | −0.3 |
| March 2025 | 123.5 thousands | −1.2 |
| February 2025 | 123.2 thousands | −1.4 |
| January 2025 | 124.0 thousands | −1.7 |
| December 2024 | 124.8 thousands | −1.7 |
| November 2024 | 124.0 thousands | −1.3 |
| October 2024 | 122.6 thousands | −1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-42445100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-42445100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```