# United States All employees, thousands, personal and laundry services, seasonally adjusted

United States All employees, thousands, personal and laundry services, seasonally adjusted was up 1.6% year on year in October 2026, compared with 1.4% in September 2026.
The level stood at 1,624.0 thousands.
Over the past ten years it has ranged from −55.7% (Apr 2020) to 94.5% (Apr 2021), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-80812000`
- 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-personal-and-laundry-services-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 1,624.0 thousands | 1.6 |
| September 2026 | 1,622.1 thousands | 1.4 |
| August 2026 | 1,620.3 thousands | 1.0 |
| July 2026 | 1,611.3 thousands | 1.0 |
| June 2026 | 1,619.1 thousands | 1.7 |
| May 2026 | 1,611.2 thousands | 1.0 |
| April 2026 | 1,610.8 thousands | 0.9 |
| March 2026 | 1,601.3 thousands | 0.4 |
| February 2026 | 1,607.0 thousands | 1.0 |
| January 2026 | 1,608.7 thousands | 0.9 |
| December 2025 | 1,607.0 thousands | 0.9 |
| November 2025 | 1,605.9 thousands | 1.0 |
| October 2025 | 1,597.8 thousands | 0.7 |
| September 2025 | 1,600.3 thousands | 0.9 |
| August 2025 | 1,604.7 thousands | 1.2 |
| July 2025 | 1,596.1 thousands | 0.5 |
| June 2025 | 1,591.8 thousands | 0.5 |
| May 2025 | 1,595.9 thousands | 1.2 |
| April 2025 | 1,595.9 thousands | 1.1 |
| March 2025 | 1,594.5 thousands | 1.1 |
| February 2025 | 1,591.0 thousands | 1.1 |
| January 2025 | 1,593.7 thousands | 1.6 |
| December 2024 | 1,592.5 thousands | 1.9 |
| November 2024 | 1,590.3 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-80812000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-80812000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```