# United States All employees, thousands, fruit and vegetable retailers, seasonally adjusted

United States All employees, thousands, fruit and vegetable retailers, seasonally adjusted was up 18.6% year on year in September 2026, compared with 19.3% in August 2026.
The level stood at 41.50 thousands.
Over the past ten years it has ranged from −17.2% (Jun 2020) to 19.3% (Aug 2026), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42445230`
- 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-fruit-and-vegetable-retailers-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 41.50 thousands | 18.6 |
| August 2026 | 42.00 thousands | 19.3 |
| July 2026 | 41.00 thousands | 14.8 |
| June 2026 | 41.50 thousands | 17.6 |
| May 2026 | 39.70 thousands | 11.5 |
| April 2026 | 39.60 thousands | 12.5 |
| March 2026 | 38.90 thousands | 11.1 |
| February 2026 | 38.70 thousands | 9.6 |
| January 2026 | 39.20 thousands | 11.0 |
| December 2025 | 38.80 thousands | 9.9 |
| November 2025 | 37.40 thousands | 4.2 |
| October 2025 | 35.40 thousands | 1.1 |
| September 2025 | 35.00 thousands | −1.1 |
| August 2025 | 35.20 thousands | 0.3 |
| July 2025 | 35.70 thousands | 0.3 |
| June 2025 | 35.30 thousands | 0.6 |
| May 2025 | 35.60 thousands | 0.0 |
| April 2025 | 35.20 thousands | −2.5 |
| March 2025 | 35.00 thousands | −4.6 |
| February 2025 | 35.30 thousands | −3.3 |
| January 2025 | 35.30 thousands | −5.1 |
| December 2024 | 35.30 thousands | −4.3 |
| November 2024 | 35.90 thousands | −1.6 |
| October 2024 | 35.00 thousands | −1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42445230"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42445230",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```