# United States All employees, thousands, millwork, seasonally adjusted

United States All employees, thousands, millwork, seasonally adjusted was down 2.9% year on year in September 2026, compared with −3.0% in August 2026.
The level stood at 95.80 thousands.
That is the highest reading since March 2025.
Over the past ten years it has ranged from −13.4% (Apr 2020) to 14.2% (Apr 2021), averaging −0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-31321910`
- 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-millwork-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 95.80 thousands | −2.9 |
| August 2026 | 96.40 thousands | −3.0 |
| July 2026 | 96.40 thousands | −3.2 |
| June 2026 | 96.60 thousands | −3.1 |
| May 2026 | 96.70 thousands | −3.0 |
| April 2026 | 96.60 thousands | −3.6 |
| March 2026 | 97.40 thousands | −3.6 |
| February 2026 | 96.80 thousands | −4.4 |
| January 2026 | 96.90 thousands | −4.8 |
| December 2025 | 95.40 thousands | −6.6 |
| November 2025 | 96.20 thousands | −6.8 |
| October 2025 | 97.90 thousands | −4.5 |
| September 2025 | 98.70 thousands | −3.8 |
| August 2025 | 99.40 thousands | −4.1 |
| July 2025 | 99.60 thousands | −4.2 |
| June 2025 | 99.70 thousands | −4.6 |
| May 2025 | 99.70 thousands | −4.7 |
| April 2025 | 100.2 thousands | −3.7 |
| March 2025 | 101.0 thousands | −2.7 |
| February 2025 | 101.3 thousands | −2.3 |
| January 2025 | 101.8 thousands | −1.9 |
| December 2024 | 102.1 thousands | −1.5 |
| November 2024 | 103.2 thousands | −0.6 |
| October 2024 | 102.5 thousands | −1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-31321910"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-31321910",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```