# United States All employees, thousands, food service contractors, seasonally adjusted

United States All employees, thousands, food service contractors, seasonally adjusted was down 10.3% year on year in September 2026, compared with −10.3% in August 2026.
The level stood at 500.8 thousands.
Over the past ten years it has ranged from −43.6% (Apr 2020) to 39.7% (Jan 2022), averaging 2.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-70722310`
- 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-food-service-contractors-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 500.8 thousands | −10.3 |
| August 2026 | 502.2 thousands | −10.3 |
| July 2026 | 499.7 thousands | −10.8 |
| June 2026 | 513.7 thousands | −8.5 |
| May 2026 | 525.2 thousands | −7.6 |
| April 2026 | 527.9 thousands | −7.9 |
| March 2026 | 531.9 thousands | −7.6 |
| February 2026 | 532.4 thousands | −7.3 |
| January 2026 | 531.5 thousands | −7.5 |
| December 2025 | 552.8 thousands | −4.2 |
| November 2025 | 543.7 thousands | −5.9 |
| October 2025 | 553.9 thousands | −4.0 |
| September 2025 | 558.2 thousands | −2.4 |
| August 2025 | 559.8 thousands | −1.2 |
| July 2025 | 560.3 thousands | 1.5 |
| June 2025 | 561.6 thousands | 0.5 |
| May 2025 | 568.1 thousands | 1.7 |
| April 2025 | 573.4 thousands | 2.5 |
| March 2025 | 575.5 thousands | 2.7 |
| February 2025 | 574.5 thousands | 2.3 |
| January 2025 | 574.5 thousands | 1.8 |
| December 2024 | 577.1 thousands | 2.7 |
| November 2024 | 577.8 thousands | 3.3 |
| October 2024 | 576.9 thousands | 2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-70722310"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-70722310",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```