# All Employees: Transportation, Warehousing, and Utilities — Camden, NJ Metropolitan Division (NSA)

All Employees: Transportation, Warehousing, and Utilities — Camden, NJ Metropolitan Division (NSA) was down 3.1% year on year in September 2026, compared with −1.5% in August 2026.
The level stood at 41.20 thousands.
That is the lowest reading since April 2023.
Over the past ten years it has ranged from −5.6% (Apr 2023) to 21.5% (Feb 2022), averaging 7.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15804.PAYEMS.M.NSA.IND-43000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-transportation-warehousing-and-utilities-camden-nj

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 41.20 thousands | −3.1 |
| August 2026 | 39.90 thousands | −1.5 |
| July 2026 | 40.50 thousands | −1.0 |
| June 2026 | 41.90 thousands | 4.2 |
| May 2026 | 41.80 thousands | 4.2 |
| April 2026 | 41.40 thousands | 3.5 |
| March 2026 | 41.40 thousands | 1.7 |
| February 2026 | 41.80 thousands | 0.0 |
| January 2026 | 43.10 thousands | 1.2 |
| December 2025 | 45.70 thousands | 2.0 |
| November 2025 | 44.80 thousands | 0.4 |
| October 2025 | 42.80 thousands | 2.1 |
| September 2025 | 42.50 thousands | 3.9 |
| August 2025 | 40.50 thousands | 2.5 |
| July 2025 | 40.90 thousands | 3.0 |
| June 2025 | 40.20 thousands | −1.7 |
| May 2025 | 40.10 thousands | −0.2 |
| April 2025 | 40.00 thousands | 0.8 |
| March 2025 | 40.70 thousands | 0.7 |
| February 2025 | 41.80 thousands | 1.5 |
| January 2025 | 42.60 thousands | 0.7 |
| December 2024 | 44.80 thousands | 0.7 |
| November 2024 | 44.60 thousands | 1.4 |
| October 2024 | 41.90 thousands | 0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15804.PAYEMS.M.NSA.IND-43000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15804.PAYEMS.M.NSA.IND-43000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```