# United States All employees, thousands, food and beverage retailers, not seasonally adjusted

United States All employees, thousands, food and beverage retailers, not seasonally adjusted was down 0.6% year on year in October 2026, compared with −0.5% in September 2026.
The level stood at 3,242.1 thousands.
That is the lowest reading since March 2022.
Over the past ten years it has ranged from −2.1% (Jan 2022) to 3.4% (Mar 2021), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-42445000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-10-01 (442 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-food-and-beverage-retailers-not-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 3,242.1 thousands | −0.6 |
| September 2026 | 3,226.2 thousands | −0.5 |
| August 2026 | 3,247.1 thousands | −0.3 |
| July 2026 | 3,260.7 thousands | −0.2 |
| June 2026 | 3,263.8 thousands | 0.04 |
| May 2026 | 3,243.1 thousands | 0.01 |
| April 2026 | 3,237.8 thousands | 0.00 |
| March 2026 | 3,241.8 thousands | 0.3 |
| February 2026 | 3,246.3 thousands | 0.5 |
| January 2026 | 3,254.1 thousands | 0.4 |
| December 2025 | 3,285.8 thousands | 0.03 |
| November 2025 | 3,289.2 thousands | 0.4 |
| October 2025 | 3,262.2 thousands | 0.7 |
| September 2025 | 3,242.8 thousands | 1.0 |
| August 2025 | 3,258.5 thousands | 1.0 |
| July 2025 | 3,267.6 thousands | 0.9 |
| June 2025 | 3,262.6 thousands | 1.0 |
| May 2025 | 3,242.7 thousands | 1.0 |
| April 2025 | 3,237.7 thousands | 1.2 |
| March 2025 | 3,232.6 thousands | 0.9 |
| February 2025 | 3,230.8 thousands | 0.4 |
| January 2025 | 3,242.0 thousands | 1.1 |
| December 2024 | 3,284.8 thousands | 0.9 |
| November 2024 | 3,275.7 thousands | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42445000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42445000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
