# United States All employees, thousands, other food manufacturing, seasonally adjusted

United States All employees, thousands, other food manufacturing, seasonally adjusted was down 0.07% year on year in September 2026, compared with −2.0% in August 2026.
The level stood at 267.8 thousands.
Over the past ten years it has ranged from −2.1% (Jul 2026) to 8.5% (Jun 2022), averaging 2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-32311900`
- 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-other-food-manufacturing-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 267.8 thousands | −0.07 |
| August 2026 | 267.8 thousands | −2.0 |
| July 2026 | 266.8 thousands | −2.1 |
| June 2026 | 266.2 thousands | −1.6 |
| May 2026 | 267.6 thousands | −1.5 |
| April 2026 | 267.9 thousands | −1.4 |
| March 2026 | 267.9 thousands | −1.5 |
| February 2026 | 268.5 thousands | −1.1 |
| January 2026 | 269.0 thousands | −0.6 |
| December 2025 | 269.8 thousands | −0.07 |
| November 2025 | 269.5 thousands | 0.07 |
| October 2025 | 267.8 thousands | −0.4 |
| September 2025 | 268.0 thousands | −0.1 |
| August 2025 | 273.3 thousands | 2.3 |
| July 2025 | 272.6 thousands | 2.6 |
| June 2025 | 270.5 thousands | 1.5 |
| May 2025 | 271.6 thousands | 2.1 |
| April 2025 | 271.8 thousands | 2.6 |
| March 2025 | 272.1 thousands | 2.4 |
| February 2025 | 271.6 thousands | 2.0 |
| January 2025 | 270.7 thousands | 1.4 |
| December 2024 | 270.0 thousands | 1.2 |
| November 2024 | 269.3 thousands | 1.4 |
| October 2024 | 268.8 thousands | 1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32311900"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32311900",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```