# United States All employees, thousands, seafood product preparation and packaging, not seasonally adjusted

United States All employees, thousands, seafood product preparation and packaging, not seasonally adjusted was down 9.1% year on year in September 2026, compared with −10.5% in August 2026.
The level stood at 31.10 thousands.
Over the past ten years it has ranged from −19.6% (Apr 2020) to 22.7% (Sep 2024), averaging −1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-32311700`
- 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-seafood-product-preparation-and-packaging-not

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 31.10 thousands | −9.1 |
| August 2026 | 32.40 thousands | −10.5 |
| July 2026 | 32.60 thousands | −17.3 |
| June 2026 | 32.40 thousands | −9.5 |
| May 2026 | 30.40 thousands | 4.1 |
| April 2026 | 31.70 thousands | 1.3 |
| March 2026 | 32.90 thousands | 4.8 |
| February 2026 | 33.40 thousands | 2.1 |
| January 2026 | 32.10 thousands | 7.0 |
| December 2025 | 27.30 thousands | −6.2 |
| November 2025 | 28.70 thousands | −8.3 |
| October 2025 | 33.40 thousands | 0.9 |
| September 2025 | 34.20 thousands | −5.5 |
| August 2025 | 36.20 thousands | −6.2 |
| July 2025 | 39.40 thousands | −3.2 |
| June 2025 | 35.80 thousands | −3.0 |
| May 2025 | 29.20 thousands | −2.3 |
| April 2025 | 31.30 thousands | 2.6 |
| March 2025 | 31.40 thousands | 0.6 |
| February 2025 | 32.70 thousands | 2.2 |
| January 2025 | 30.00 thousands | 4.5 |
| December 2024 | 29.10 thousands | 4.7 |
| November 2024 | 31.30 thousands | 13.4 |
| October 2024 | 33.10 thousands | 18.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-32311700"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-32311700",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```