# All Employees: Leisure and Hospitality — Prescott Valley-Prescott, AZ (NSA)

All Employees: Leisure and Hospitality — Prescott Valley-Prescott, AZ (NSA) was down 2.0% year on year in September 2026, compared with −4.9% in August 2026.
The level stood at 9.70 thousands.
Over the past ten years it has ranged from −46.2% (Apr 2020) to 71.9% (Apr 2021), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-39150.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-prescott-valley-prescott-az-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 9.70 thousands | −2.0 |
| August 2026 | 9.70 thousands | −4.9 |
| July 2026 | 9.80 thousands | −3.9 |
| June 2026 | 9.90 thousands | −3.9 |
| May 2026 | 10.10 thousands | −5.6 |
| April 2026 | 10.10 thousands | −3.8 |
| March 2026 | 9.90 thousands | −4.8 |
| February 2026 | 9.90 thousands | −2.9 |
| January 2026 | 9.70 thousands | −3.0 |
| December 2025 | 10.00 thousands | −1.0 |
| November 2025 | 10.00 thousands | −1.0 |
| October 2025 | 9.90 thousands | −2.9 |
| September 2025 | 9.90 thousands | −1.0 |
| August 2025 | 10.20 thousands | 2.0 |
| July 2025 | 10.20 thousands | 2.0 |
| June 2025 | 10.30 thousands | 3.0 |
| May 2025 | 10.70 thousands | 3.9 |
| April 2025 | 10.50 thousands | 2.9 |
| March 2025 | 10.40 thousands | 3.0 |
| February 2025 | 10.20 thousands | 4.1 |
| January 2025 | 10.00 thousands | 2.0 |
| December 2024 | 10.10 thousands | 0.0 |
| November 2024 | 10.10 thousands | −1.0 |
| October 2024 | 10.20 thousands | −1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-39150.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-39150.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
