# United States All employees, thousands, gold ore and silver ore mining, seasonally adjusted

United States All employees, thousands, gold ore and silver ore mining, seasonally adjusted was up 1.9% year on year in September 2026, compared with 1.9% in August 2026.
The level stood at 16.00 thousands.
Over the past ten years it has ranged from −5.9% (Mar 2021) to 7.4% (May 2018), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-10212220`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-gold-ore-and-silver-ore-mining-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 16.00 thousands | 1.9 |
| August 2026 | 16.00 thousands | 1.9 |
| July 2026 | 16.00 thousands | 2.6 |
| June 2026 | 15.90 thousands | 1.3 |
| May 2026 | 15.90 thousands | 1.3 |
| April 2026 | 15.90 thousands | 1.3 |
| March 2026 | 15.80 thousands | 0.0 |
| February 2026 | 15.70 thousands | −0.6 |
| January 2026 | 15.70 thousands | −0.6 |
| December 2025 | 15.70 thousands | −0.6 |
| November 2025 | 15.60 thousands | −0.6 |
| October 2025 | 15.70 thousands | 0.0 |
| September 2025 | 15.70 thousands | 0.0 |
| August 2025 | 15.70 thousands | 0.6 |
| July 2025 | 15.60 thousands | 0.0 |
| June 2025 | 15.70 thousands | 0.6 |
| May 2025 | 15.70 thousands | 1.3 |
| April 2025 | 15.70 thousands | 1.3 |
| March 2025 | 15.80 thousands | 1.9 |
| February 2025 | 15.80 thousands | 1.3 |
| January 2025 | 15.80 thousands | 1.3 |
| December 2024 | 15.80 thousands | 0.6 |
| November 2024 | 15.70 thousands | 0.0 |
| October 2024 | 15.70 thousands | 1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-10212220"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-10212220",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```