# All Employees: Mining, Logging and Construction — Olympia-Lacey-Tumwater, WA (NSA)

All Employees: Mining, Logging and Construction — Olympia-Lacey-Tumwater, WA (NSA) was up 0.0% year on year in September 2026, compared with −1.4% in August 2026.
The level stood at 6.90 thousands.
Over the past ten years it has ranged from −11.8% (Apr 2020) to 20.4% (Mar 2017), averaging 3.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-36500.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-olympia-lacey-tumwater-wa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 6.90 thousands | 0.0 |
| August 2026 | 6.90 thousands | −1.4 |
| July 2026 | 6.90 thousands | 0.0 |
| June 2026 | 6.80 thousands | −1.4 |
| May 2026 | 6.70 thousands | −1.5 |
| April 2026 | 6.60 thousands | −2.9 |
| March 2026 | 6.50 thousands | 0.0 |
| February 2026 | 6.50 thousands | 1.6 |
| January 2026 | 6.40 thousands | 1.6 |
| December 2025 | 6.60 thousands | 1.5 |
| November 2025 | 6.60 thousands | 0.0 |
| October 2025 | 6.80 thousands | 0.0 |
| September 2025 | 6.90 thousands | 0.0 |
| August 2025 | 7.00 thousands | 1.4 |
| July 2025 | 6.90 thousands | 1.5 |
| June 2025 | 6.90 thousands | 3.0 |
| May 2025 | 6.80 thousands | 1.5 |
| April 2025 | 6.80 thousands | 4.6 |
| March 2025 | 6.50 thousands | 0.0 |
| February 2025 | 6.40 thousands | −1.5 |
| January 2025 | 6.30 thousands | −1.6 |
| December 2024 | 6.50 thousands | −3.0 |
| November 2024 | 6.60 thousands | −1.5 |
| October 2024 | 6.80 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-36500.PAYEMS.M.NSA.IND-15000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-36500.PAYEMS.M.NSA.IND-15000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```