# All Employees: Arts, Entertainment, and Recreation — CO (statewide) (NSA)

All Employees: Arts, Entertainment, and Recreation — CO (statewide) (NSA) was down 1.9% year on year in September 2026, compared with −1.0% in August 2026.
The level stood at 61.60 thousands.
Over the past ten years it has ranged from −56.6% (Apr 2020) to 92.5% (Apr 2021), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CO.PAYEMS.M.NSA.IND-70710000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-arts-entertainment-and-recreation-co-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 61.60 thousands | −1.9 |
| August 2026 | 67.40 thousands | −1.0 |
| July 2026 | 69.70 thousands | −1.0 |
| June 2026 | 68.50 thousands | 1.5 |
| May 2026 | 60.10 thousands | −1.2 |
| April 2026 | 62.20 thousands | −1.7 |
| March 2026 | 63.90 thousands | −1.7 |
| February 2026 | 63.00 thousands | −3.2 |
| January 2026 | 63.10 thousands | −3.1 |
| December 2025 | 63.00 thousands | −4.0 |
| November 2025 | 57.50 thousands | −3.2 |
| October 2025 | 59.80 thousands | −0.2 |
| September 2025 | 62.80 thousands | 1.1 |
| August 2025 | 68.10 thousands | 2.7 |
| July 2025 | 70.40 thousands | 1.7 |
| June 2025 | 67.50 thousands | −0.9 |
| May 2025 | 60.80 thousands | 1.5 |
| April 2025 | 63.30 thousands | −2.6 |
| March 2025 | 65.00 thousands | 1.4 |
| February 2025 | 65.10 thousands | 5.9 |
| January 2025 | 65.10 thousands | 6.0 |
| December 2024 | 65.60 thousands | 5.6 |
| November 2024 | 59.40 thousands | 4.9 |
| October 2024 | 59.90 thousands | 6.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CO.PAYEMS.M.NSA.IND-70710000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CO.PAYEMS.M.NSA.IND-70710000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```