# United States All employees, thousands, caterers and mobile food services, seasonally adjusted

United States All employees, thousands, caterers and mobile food services, seasonally adjusted was up 2.1% year on year in September 2026, compared with 2.6% in August 2026.
The level stood at 223.9 thousands.
Over the past ten years it has ranged from −60.6% (Apr 2020) to 87.7% (Dec 2021), averaging 5.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-70722330`
- 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-caterers-and-mobile-food-services-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 223.9 thousands | 2.1 |
| August 2026 | 222.2 thousands | 2.6 |
| July 2026 | 221.5 thousands | 3.9 |
| June 2026 | 225.0 thousands | 2.9 |
| May 2026 | 227.1 thousands | 3.5 |
| April 2026 | 229.0 thousands | 4.2 |
| March 2026 | 232.3 thousands | 6.6 |
| February 2026 | 233.3 thousands | 5.7 |
| January 2026 | 229.7 thousands | 3.4 |
| December 2025 | 226.3 thousands | 2.9 |
| November 2025 | 228.3 thousands | 5.1 |
| October 2025 | 219.4 thousands | 0.5 |
| September 2025 | 219.2 thousands | 0.9 |
| August 2025 | 216.5 thousands | −1.0 |
| July 2025 | 213.1 thousands | −1.9 |
| June 2025 | 218.6 thousands | 2.6 |
| May 2025 | 219.4 thousands | 2.0 |
| April 2025 | 219.7 thousands | 2.7 |
| March 2025 | 217.9 thousands | 2.2 |
| February 2025 | 220.7 thousands | 4.2 |
| January 2025 | 222.2 thousands | 5.4 |
| December 2024 | 219.9 thousands | 4.3 |
| November 2024 | 217.2 thousands | 2.7 |
| October 2024 | 218.3 thousands | 3.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-70722330"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-70722330",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```