# United States All employees, thousands, forging and stamping, not seasonally adjusted

United States All employees, thousands, forging and stamping, not seasonally adjusted was up 2.0% year on year in September 2026, compared with 2.2% in August 2026.
The level stood at 86.80 thousands.
Over the past ten years it has ranged from −14.6% (Jul 2020) to 5.4% (Jul 2021), averaging −1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-31332100`
- 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-forging-and-stamping-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 86.80 thousands | 2.0 |
| August 2026 | 87.00 thousands | 2.2 |
| July 2026 | 86.90 thousands | 1.6 |
| June 2026 | 86.60 thousands | 0.5 |
| May 2026 | 85.70 thousands | −0.1 |
| April 2026 | 86.50 thousands | 1.2 |
| March 2026 | 86.30 thousands | 1.2 |
| February 2026 | 85.90 thousands | 0.0 |
| January 2026 | 86.40 thousands | −0.5 |
| December 2025 | 86.20 thousands | −1.0 |
| November 2025 | 85.50 thousands | −1.7 |
| October 2025 | 85.40 thousands | −2.3 |
| September 2025 | 85.10 thousands | −3.8 |
| August 2025 | 85.10 thousands | −4.7 |
| July 2025 | 85.50 thousands | −3.6 |
| June 2025 | 86.20 thousands | −5.1 |
| May 2025 | 85.80 thousands | −5.5 |
| April 2025 | 85.50 thousands | −4.9 |
| March 2025 | 85.30 thousands | −5.0 |
| February 2025 | 85.90 thousands | −4.9 |
| January 2025 | 86.80 thousands | −4.1 |
| December 2024 | 87.10 thousands | −4.2 |
| November 2024 | 87.00 thousands | −3.5 |
| October 2024 | 87.40 thousands | −3.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-31332100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-31332100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```