# All Employees: Warehousing and Storage — PA (statewide) (NSA)

All Employees: Warehousing and Storage — PA (statewide) (NSA) was up 1.0% year on year in September 2026, compared with 0.7% in August 2026.
The level stood at 122.2 thousands.
That is the highest reading since July 2025.
Over the past ten years it has ranged from −3.1% (Feb 2026) to 18.0% (May 2022), averaging 4.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-43493000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-warehousing-and-storage-pa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 122.2 thousands | 1.0 |
| August 2026 | 121.4 thousands | 0.7 |
| July 2026 | 120.0 thousands | −1.4 |
| June 2026 | 119.2 thousands | −1.4 |
| May 2026 | 118.4 thousands | −1.7 |
| April 2026 | 117.2 thousands | −2.3 |
| March 2026 | 118.6 thousands | −2.9 |
| February 2026 | 119.7 thousands | −3.1 |
| January 2026 | 123.6 thousands | −2.7 |
| December 2025 | 131.2 thousands | −0.4 |
| November 2025 | 131.3 thousands | −0.5 |
| October 2025 | 127.2 thousands | 0.08 |
| September 2025 | 121.0 thousands | −1.9 |
| August 2025 | 120.5 thousands | −0.4 |
| July 2025 | 121.7 thousands | 2.0 |
| June 2025 | 120.9 thousands | 2.1 |
| May 2025 | 120.4 thousands | 1.9 |
| April 2025 | 119.9 thousands | 1.4 |
| March 2025 | 122.1 thousands | 2.0 |
| February 2025 | 123.5 thousands | 2.6 |
| January 2025 | 127.0 thousands | 2.7 |
| December 2024 | 131.7 thousands | 3.1 |
| November 2024 | 132.0 thousands | 3.6 |
| October 2024 | 127.1 thousands | 5.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-43493000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-43493000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```