# United States All employees, thousands, personal and laundry services, not seasonally adjusted

United States All employees, thousands, personal and laundry services, not seasonally adjusted was up 1.5% year on year in October 2026, compared with 1.3% in September 2026.
The level stood at 1,631.9 thousands.
Over the past ten years it has ranged from −55.6% (Apr 2020) to 93.7% (Apr 2021), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.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-not-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 1,631.9 thousands | 1.5 |
| September 2026 | 1,623.5 thousands | 1.3 |
| August 2026 | 1,627.6 thousands | 0.8 |
| July 2026 | 1,627.9 thousands | 1.2 |
| June 2026 | 1,631.3 thousands | 1.7 |
| May 2026 | 1,620.7 thousands | 0.8 |
| April 2026 | 1,608.5 thousands | 0.8 |
| March 2026 | 1,585.7 thousands | 0.4 |
| February 2026 | 1,589.4 thousands | 0.9 |
| January 2026 | 1,591.1 thousands | 1.1 |
| December 2025 | 1,607.7 thousands | 0.9 |
| November 2025 | 1,605.8 thousands | 0.8 |
| October 2025 | 1,607.1 thousands | 1.3 |
| September 2025 | 1,602.1 thousands | 0.9 |
| August 2025 | 1,614.3 thousands | 1.3 |
| July 2025 | 1,608.5 thousands | 0.5 |
| June 2025 | 1,604.0 thousands | 0.5 |
| May 2025 | 1,608.2 thousands | 1.1 |
| April 2025 | 1,595.1 thousands | 1.1 |
| March 2025 | 1,579.6 thousands | 1.1 |
| February 2025 | 1,574.8 thousands | 1.3 |
| January 2025 | 1,574.5 thousands | 1.8 |
| December 2024 | 1,593.5 thousands | 1.9 |
| November 2024 | 1,593.8 thousands | 1.4 |

## API

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

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