# United States All employees, thousands, all other specialty food retailers, seasonally adjusted

United States All employees, thousands, all other specialty food retailers, seasonally adjusted was up 2.9% year on year in September 2026, compared with 3.0% in August 2026.
The level stood at 82.80 thousands.
Over the past ten years it has ranged from −36.7% (Apr 2020) to 41.2% (Apr 2021), averaging −0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42445298`
- 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-all-other-specialty-food-retailers-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 82.80 thousands | 2.9 |
| August 2026 | 82.70 thousands | 3.0 |
| July 2026 | 81.50 thousands | 1.2 |
| June 2026 | 81.70 thousands | 1.9 |
| May 2026 | 81.70 thousands | 0.9 |
| April 2026 | 80.70 thousands | −0.4 |
| March 2026 | 81.20 thousands | 1.2 |
| February 2026 | 80.50 thousands | 4.3 |
| January 2026 | 81.10 thousands | 2.0 |
| December 2025 | 79.20 thousands | 1.0 |
| November 2025 | 80.00 thousands | 1.1 |
| October 2025 | 80.10 thousands | 0.1 |
| September 2025 | 80.50 thousands | 2.3 |
| August 2025 | 80.30 thousands | 2.6 |
| July 2025 | 80.50 thousands | 3.9 |
| June 2025 | 80.20 thousands | 3.5 |
| May 2025 | 81.00 thousands | 1.9 |
| April 2025 | 81.00 thousands | 0.4 |
| March 2025 | 80.20 thousands | −2.2 |
| February 2025 | 77.20 thousands | −5.7 |
| January 2025 | 79.50 thousands | −2.0 |
| December 2024 | 78.40 thousands | −3.0 |
| November 2024 | 79.10 thousands | −2.3 |
| October 2024 | 80.00 thousands | −1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42445298"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42445298",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```