# All Employees: Seafood Product Preparation and Packaging — AK (statewide) (NSA)

All Employees: Seafood Product Preparation and Packaging — AK (statewide) (NSA) was up 25.0% year on year in September 2026, compared with 11.3% in August 2026.
The level stood at 10.50 thousands.
Over the past ten years it has ranged from −26.5% (Sep 2020) to 30.4% (Dec 2025), averaging −1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-AK.PAYEMS.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-seafood-product-preparation-and-packaging-ak-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 10.50 thousands | 25.0 |
| August 2026 | 13.80 thousands | 11.3 |
| July 2026 | 16.50 thousands | −4.6 |
| June 2026 | 10.60 thousands | −4.5 |
| May 2026 | 5.20 thousands | 0.0 |
| April 2026 | 6.90 thousands | 1.5 |
| March 2026 | 7.80 thousands | 4.0 |
| February 2026 | 7.90 thousands | 5.3 |
| January 2026 | 6.20 thousands | 8.8 |
| December 2025 | 3.00 thousands | 30.4 |
| November 2025 | 3.90 thousands | 25.8 |
| October 2025 | 6.20 thousands | 17.0 |
| September 2025 | 8.40 thousands | −2.3 |
| August 2025 | 12.40 thousands | 14.8 |
| July 2025 | 17.30 thousands | 5.5 |
| June 2025 | 11.10 thousands | −0.9 |
| May 2025 | 5.20 thousands | 10.6 |
| April 2025 | 6.80 thousands | 3.0 |
| March 2025 | 7.50 thousands | 1.4 |
| February 2025 | 7.50 thousands | 5.6 |
| January 2025 | 5.70 thousands | 5.6 |
| December 2024 | 2.30 thousands | −8.0 |
| November 2024 | 3.10 thousands | −8.8 |
| October 2024 | 5.30 thousands | −8.6 |

## API

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

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