# United States All employees, thousands, other personal care services, not seasonally adjusted

United States All employees, thousands, other personal care services, not seasonally adjusted was up 2.8% year on year in September 2026, compared with 2.6% in August 2026.
The level stood at 204.8 thousands.
Over the past ten years it has ranged from −67.4% (Apr 2020) to 177.4% (Apr 2021), averaging 5.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 204.8 thousands | 2.8 |
| August 2026 | 206.5 thousands | 2.6 |
| July 2026 | 204.0 thousands | 1.4 |
| June 2026 | 207.7 thousands | 2.7 |
| May 2026 | 207.0 thousands | 2.6 |
| April 2026 | 206.2 thousands | 2.8 |
| March 2026 | 203.0 thousands | 3.0 |
| February 2026 | 203.4 thousands | 4.4 |
| January 2026 | 201.2 thousands | 5.1 |
| December 2025 | 199.4 thousands | 4.5 |
| November 2025 | 201.3 thousands | 4.6 |
| October 2025 | 201.2 thousands | 5.7 |
| September 2025 | 199.3 thousands | 3.7 |
| August 2025 | 201.3 thousands | 3.5 |
| July 2025 | 201.1 thousands | 2.6 |
| June 2025 | 202.3 thousands | 4.9 |
| May 2025 | 201.7 thousands | 4.8 |
| April 2025 | 200.5 thousands | 3.4 |
| March 2025 | 197.1 thousands | 3.1 |
| February 2025 | 194.9 thousands | 2.3 |
| January 2025 | 191.5 thousands | 1.6 |
| December 2024 | 190.8 thousands | 2.1 |
| November 2024 | 192.5 thousands | 2.0 |
| October 2024 | 190.4 thousands | 2.8 |

## API

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

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