# United States All employees, thousands, private fine arts schools, not seasonally adjusted

United States All employees, thousands, private fine arts schools, not seasonally adjusted was up 0.9% year on year in September 2026, compared with −4.6% in August 2026.
The level stood at 138.8 thousands.
Over the past ten years it has ranged from −24.8% (Apr 2020) to 18.9% (Jun 2022), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-65611610`
- 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-private-fine-arts-schools-not-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 138.8 thousands | 0.9 |
| August 2026 | 132.2 thousands | −4.6 |
| July 2026 | 140.4 thousands | −1.5 |
| June 2026 | 139.5 thousands | 0.7 |
| May 2026 | 142.9 thousands | −1.4 |
| April 2026 | 146.0 thousands | 2.4 |
| March 2026 | 142.4 thousands | 0.9 |
| February 2026 | 144.4 thousands | 0.2 |
| January 2026 | 144.6 thousands | 4.9 |
| December 2025 | 140.3 thousands | 1.3 |
| November 2025 | 146.5 thousands | 1.5 |
| October 2025 | 146.3 thousands | 3.3 |
| September 2025 | 137.5 thousands | 0.4 |
| August 2025 | 138.6 thousands | 5.6 |
| July 2025 | 142.5 thousands | 5.4 |
| June 2025 | 138.5 thousands | 2.1 |
| May 2025 | 144.9 thousands | 3.5 |
| April 2025 | 142.6 thousands | 1.9 |
| March 2025 | 141.1 thousands | 2.6 |
| February 2025 | 144.1 thousands | 2.6 |
| January 2025 | 137.9 thousands | 3.1 |
| December 2024 | 138.5 thousands | 2.6 |
| November 2024 | 144.4 thousands | 3.0 |
| October 2024 | 141.6 thousands | 3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-65611610"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-65611610",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
