# United States All employees, thousands, surface coal mining, seasonally adjusted

United States All employees, thousands, surface coal mining, seasonally adjusted was down 7.3% year on year in September 2026, compared with −7.3% in August 2026.
The level stood at 16.50 thousands.
Over the past ten years it has ranged from −34.7% (Nov 2020) to 21.8% (Nov 2021), averaging −3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-10212114`
- 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-surface-coal-mining-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 16.50 thousands | −7.3 |
| August 2026 | 16.50 thousands | −7.3 |
| July 2026 | 16.60 thousands | −6.2 |
| June 2026 | 17.10 thousands | −2.8 |
| May 2026 | 17.30 thousands | −2.8 |
| April 2026 | 17.20 thousands | −1.7 |
| March 2026 | 17.30 thousands | −1.1 |
| February 2026 | 17.80 thousands | 1.7 |
| January 2026 | 17.90 thousands | 2.9 |
| December 2025 | 18.20 thousands | 3.4 |
| November 2025 | 18.40 thousands | 2.2 |
| October 2025 | 18.10 thousands | 1.7 |
| September 2025 | 17.80 thousands | −3.3 |
| August 2025 | 17.80 thousands | −3.8 |
| July 2025 | 17.70 thousands | −6.3 |
| June 2025 | 17.60 thousands | −7.9 |
| May 2025 | 17.80 thousands | −5.8 |
| April 2025 | 17.50 thousands | −7.9 |
| March 2025 | 17.50 thousands | −6.4 |
| February 2025 | 17.50 thousands | −6.9 |
| January 2025 | 17.40 thousands | −8.4 |
| December 2024 | 17.60 thousands | −6.9 |
| November 2024 | 18.00 thousands | −5.3 |
| October 2024 | 17.80 thousands | −6.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-10212114"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-10212114",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```