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

United States All employees, thousands, snack food manufacturing, seasonally adjusted was down 4.4% year on year in September 2026, compared with −4.5% in August 2026.
The level stood at 63.10 thousands.
Over the past ten years it has ranged from −4.5% (Aug 2026) to 7.3% (May 2022), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-32311910`
- 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-snack-food-manufacturing-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 63.10 thousands | −4.4 |
| August 2026 | 63.40 thousands | −4.5 |
| July 2026 | 64.10 thousands | −3.8 |
| June 2026 | 63.80 thousands | −4.3 |
| May 2026 | 64.20 thousands | −3.7 |
| April 2026 | 63.90 thousands | −3.9 |
| March 2026 | 63.80 thousands | −4.2 |
| February 2026 | 64.40 thousands | −3.7 |
| January 2026 | 64.50 thousands | −3.3 |
| December 2025 | 64.90 thousands | −3.3 |
| November 2025 | 65.10 thousands | −2.5 |
| October 2025 | 65.80 thousands | −1.5 |
| September 2025 | 66.00 thousands | −0.8 |
| August 2025 | 66.40 thousands | 0.5 |
| July 2025 | 66.60 thousands | 1.5 |
| June 2025 | 66.70 thousands | 1.8 |
| May 2025 | 66.70 thousands | 1.8 |
| April 2025 | 66.50 thousands | 1.5 |
| March 2025 | 66.60 thousands | 1.8 |
| February 2025 | 66.90 thousands | 2.6 |
| January 2025 | 66.70 thousands | 1.7 |
| December 2024 | 67.10 thousands | 2.3 |
| November 2024 | 66.80 thousands | 1.4 |
| October 2024 | 66.80 thousands | 1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32311910"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32311910",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```