# All Employees: Mining, Logging and Construction — Trenton-Princeton, NJ (NSA)

All Employees: Mining, Logging and Construction — Trenton-Princeton, NJ (NSA) was down 4.8% year on year in September 2026, compared with −4.8% in August 2026.
The level stood at 5.90 thousands.
Over the past ten years it has ranged from −14.3% (Apr 2020) to 12.5% (Apr 2021), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45940.PAYEMS.M.NSA.IND-15000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-mining-logging-and-construction-trenton-princeton-nj-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5.90 thousands | −4.8 |
| August 2026 | 6.00 thousands | −4.8 |
| July 2026 | 6.00 thousands | −4.8 |
| June 2026 | 6.00 thousands | −4.8 |
| May 2026 | 5.90 thousands | −4.8 |
| April 2026 | 5.80 thousands | −3.3 |
| March 2026 | 5.60 thousands | −3.4 |
| February 2026 | 5.50 thousands | −3.5 |
| January 2026 | 5.80 thousands | 5.5 |
| December 2025 | 6.00 thousands | 3.4 |
| November 2025 | 6.10 thousands | 3.4 |
| October 2025 | 6.20 thousands | 3.3 |
| September 2025 | 6.20 thousands | 3.3 |
| August 2025 | 6.30 thousands | 3.3 |
| July 2025 | 6.30 thousands | 1.6 |
| June 2025 | 6.30 thousands | 1.6 |
| May 2025 | 6.20 thousands | 1.6 |
| April 2025 | 6.00 thousands | −1.6 |
| March 2025 | 5.80 thousands | −1.7 |
| February 2025 | 5.70 thousands | −3.4 |
| January 2025 | 5.50 thousands | −5.2 |
| December 2024 | 5.80 thousands | −4.9 |
| November 2024 | 5.90 thousands | −3.3 |
| October 2024 | 6.00 thousands | −3.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45940.PAYEMS.M.NSA.IND-15000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45940.PAYEMS.M.NSA.IND-15000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```