# All Employees: Couriers and Messengers — NJ (statewide) (NSA)

All Employees: Couriers and Messengers — NJ (statewide) (NSA) was up 6.7% year on year in September 2026, compared with 5.7% in August 2026.
The level stood at 49.50 thousands.
That is the highest reading since February 2025.
Over the past ten years it has ranged from −8.0% (Feb 2023) to 42.6% (Oct 2020), averaging 8.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NJ.PAYEMS.M.NSA.IND-43492000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-couriers-and-messengers-nj-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 49.50 thousands | 6.7 |
| August 2026 | 50.10 thousands | 5.7 |
| July 2026 | 50.20 thousands | 5.7 |
| June 2026 | 48.60 thousands | 5.9 |
| May 2026 | 48.10 thousands | 6.7 |
| April 2026 | 47.70 thousands | 6.2 |
| March 2026 | 47.70 thousands | −0.6 |
| February 2026 | 49.10 thousands | −5.2 |
| January 2026 | 52.60 thousands | −0.9 |
| December 2025 | 58.40 thousands | −4.6 |
| November 2025 | 52.10 thousands | −7.6 |
| October 2025 | 47.10 thousands | −4.3 |
| September 2025 | 46.40 thousands | −1.9 |
| August 2025 | 47.40 thousands | 0.9 |
| July 2025 | 47.50 thousands | 0.4 |
| June 2025 | 45.90 thousands | −2.5 |
| May 2025 | 45.10 thousands | −2.4 |
| April 2025 | 44.90 thousands | −2.0 |
| March 2025 | 48.00 thousands | 3.9 |
| February 2025 | 51.80 thousands | 9.3 |
| January 2025 | 53.10 thousands | 4.3 |
| December 2024 | 61.20 thousands | 1.2 |
| November 2024 | 56.40 thousands | −1.6 |
| October 2024 | 49.20 thousands | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NJ.PAYEMS.M.NSA.IND-43492000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NJ.PAYEMS.M.NSA.IND-43492000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```