# United States All employees, thousands, other personal care services, seasonally adjusted

United States All employees, thousands, other personal care services, seasonally adjusted was up 2.6% year on year in September 2026, compared with 2.3% in August 2026.
The level stood at 206.4 thousands.
Over the past ten years it has ranged from −68.3% (Apr 2020) to 184.7% (Apr 2021), averaging 5.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-80812190`
- 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-other-personal-care-services-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 206.4 thousands | 2.6 |
| August 2026 | 205.7 thousands | 2.3 |
| July 2026 | 205.1 thousands | 2.5 |
| June 2026 | 205.6 thousands | 2.2 |
| May 2026 | 205.0 thousands | 2.3 |
| April 2026 | 204.2 thousands | 3.0 |
| March 2026 | 203.0 thousands | 3.2 |
| February 2026 | 202.9 thousands | 4.6 |
| January 2026 | 203.0 thousands | 4.7 |
| December 2025 | 202.2 thousands | 4.7 |
| November 2025 | 201.6 thousands | 4.7 |
| October 2025 | 201.5 thousands | 5.3 |
| September 2025 | 201.1 thousands | 3.6 |
| August 2025 | 201.0 thousands | 3.4 |
| July 2025 | 200.1 thousands | 2.5 |
| June 2025 | 201.1 thousands | 4.9 |
| May 2025 | 200.4 thousands | 4.8 |
| April 2025 | 198.3 thousands | 3.4 |
| March 2025 | 196.8 thousands | 3.1 |
| February 2025 | 194.0 thousands | 1.6 |
| January 2025 | 193.8 thousands | 1.6 |
| December 2024 | 193.2 thousands | 2.3 |
| November 2024 | 192.5 thousands | 2.0 |
| October 2024 | 191.3 thousands | 2.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-80812190"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-80812190",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```