# All Employees: Private Service Providing — Camden, NJ Metropolitan Division (NSA)

All Employees: Private Service Providing — Camden, NJ Metropolitan Division (NSA) was up 0.3% year on year in September 2026, compared with 1.4% in August 2026.
The level stood at 446.9 thousands.
Over the past ten years it has ranged from −18.0% (Apr 2020) to 18.4% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15804.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-camden-nj-metropolitan-division

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 446.9 thousands | 0.3 |
| August 2026 | 450.2 thousands | 1.4 |
| July 2026 | 451.5 thousands | 1.3 |
| June 2026 | 455.1 thousands | 0.8 |
| May 2026 | 449.6 thousands | 0.8 |
| April 2026 | 443.6 thousands | 0.7 |
| March 2026 | 440.2 thousands | 0.3 |
| February 2026 | 437.8 thousands | 0.4 |
| January 2026 | 440.5 thousands | 0.6 |
| December 2025 | 452.1 thousands | 0.7 |
| November 2025 | 450.1 thousands | 1.0 |
| October 2025 | 445.1 thousands | 0.8 |
| September 2025 | 445.5 thousands | 1.3 |
| August 2025 | 443.8 thousands | 1.5 |
| July 2025 | 445.9 thousands | 2.0 |
| June 2025 | 451.6 thousands | 1.4 |
| May 2025 | 446.0 thousands | 1.5 |
| April 2025 | 440.6 thousands | 1.5 |
| March 2025 | 439.0 thousands | 1.1 |
| February 2025 | 436.1 thousands | 1.6 |
| January 2025 | 438.0 thousands | 1.7 |
| December 2024 | 449.0 thousands | 1.5 |
| November 2024 | 445.7 thousands | 1.2 |
| October 2024 | 441.6 thousands | 1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15804.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15804.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```