# United States All employees, thousands, poultry processing, seasonally adjusted

United States All employees, thousands, poultry processing, seasonally adjusted was up 0.6% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 252.2 thousands.
That is the lowest reading since July 2024.
Over the past ten years it has ranged from −6.7% (Aug 2021) to 5.6% (Apr 2023), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-32311615`
- Frequency: monthly
- Units: thousands
- Coverage: 1972-01-01 to 2026-09-01 (657 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-poultry-processing-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 252.2 thousands | 0.6 |
| August 2026 | 252.6 thousands | 0.8 |
| July 2026 | 252.7 thousands | 0.9 |
| June 2026 | 254.3 thousands | 0.7 |
| May 2026 | 254.1 thousands | 0.9 |
| April 2026 | 254.7 thousands | 1.6 |
| March 2026 | 254.7 thousands | 1.8 |
| February 2026 | 255.2 thousands | 2.7 |
| January 2026 | 254.1 thousands | 2.4 |
| December 2025 | 253.4 thousands | 2.4 |
| November 2025 | 253.2 thousands | 2.6 |
| October 2025 | 252.4 thousands | 2.6 |
| September 2025 | 250.8 thousands | 2.2 |
| August 2025 | 250.7 thousands | 2.5 |
| July 2025 | 250.4 thousands | 2.8 |
| June 2025 | 252.5 thousands | 3.5 |
| May 2025 | 251.8 thousands | 2.8 |
| April 2025 | 250.7 thousands | 3.2 |
| March 2025 | 250.2 thousands | 3.3 |
| February 2025 | 248.5 thousands | 2.9 |
| January 2025 | 248.1 thousands | 2.4 |
| December 2024 | 247.5 thousands | 1.9 |
| November 2024 | 246.9 thousands | 2.3 |
| October 2024 | 245.9 thousands | 1.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32311615"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32311615",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```