# All Employees: Mining, Logging and Construction — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA)

All Employees: Mining, Logging and Construction — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was up 4.0% year on year in September 2026, compared with 4.8% in August 2026.
The level stood at 61.90 thousands.
Over the past ten years it has ranged from −33.6% (Apr 2020) to 48.7% (Apr 2021), averaging 1.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.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-cambridge-newton

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 61.90 thousands | 4.0 |
| August 2026 | 63.40 thousands | 4.8 |
| July 2026 | 64.00 thousands | 5.6 |
| June 2026 | 64.00 thousands | 6.5 |
| May 2026 | 61.10 thousands | 2.9 |
| April 2026 | 60.10 thousands | 4.3 |
| March 2026 | 56.60 thousands | 1.8 |
| February 2026 | 55.00 thousands | −0.2 |
| January 2026 | 55.10 thousands | −0.9 |
| December 2025 | 57.70 thousands | −2.4 |
| November 2025 | 58.80 thousands | −2.6 |
| October 2025 | 58.90 thousands | −3.4 |
| September 2025 | 59.50 thousands | −2.8 |
| August 2025 | 60.50 thousands | −3.4 |
| July 2025 | 60.60 thousands | −4.1 |
| June 2025 | 60.10 thousands | −3.7 |
| May 2025 | 59.40 thousands | −2.6 |
| April 2025 | 57.60 thousands | −3.2 |
| March 2025 | 55.60 thousands | −3.5 |
| February 2025 | 55.10 thousands | −2.8 |
| January 2025 | 55.60 thousands | −3.1 |
| December 2024 | 59.10 thousands | −1.5 |
| November 2024 | 60.40 thousands | −1.5 |
| October 2024 | 61.00 thousands | −1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-15000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-15000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```