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

United States All employees, thousands, other specialty food retailers, seasonally adjusted was down 0.4% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 124.5 thousands.
Over the past ten years it has ranged from −36.7% (Apr 2020) to 41.1% (Apr 2021), averaging −0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42445290`
- 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-other-specialty-food-retailers-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 124.5 thousands | −0.4 |
| August 2026 | 124.3 thousands | 1.6 |
| July 2026 | 122.5 thousands | 0.2 |
| June 2026 | 123.0 thousands | 0.5 |
| May 2026 | 123.1 thousands | −0.2 |
| April 2026 | 121.5 thousands | −2.2 |
| March 2026 | 122.4 thousands | 0.0 |
| February 2026 | 122.2 thousands | 0.9 |
| January 2026 | 122.3 thousands | 0.7 |
| December 2025 | 120.0 thousands | −0.4 |
| November 2025 | 121.2 thousands | 0.7 |
| October 2025 | 121.7 thousands | 0.6 |
| September 2025 | 125.0 thousands | 4.7 |
| August 2025 | 122.3 thousands | 3.2 |
| July 2025 | 122.2 thousands | 3.6 |
| June 2025 | 122.4 thousands | 5.0 |
| May 2025 | 123.3 thousands | 2.2 |
| April 2025 | 124.2 thousands | 2.2 |
| March 2025 | 122.4 thousands | −0.6 |
| February 2025 | 121.1 thousands | −1.9 |
| January 2025 | 121.4 thousands | −0.2 |
| December 2024 | 120.5 thousands | 0.5 |
| November 2024 | 120.4 thousands | −0.7 |
| October 2024 | 121.0 thousands | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42445290"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42445290",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```