# All Employees: Leisure and Hospitality — Phoenix-Mesa-Chandler, AZ (NSA)

All Employees: Leisure and Hospitality — Phoenix-Mesa-Chandler, AZ (NSA) was down 1.8% year on year in September 2026, compared with −2.8% in August 2026.
The level stood at 255.9 thousands.
Over the past ten years it has ranged from −40.7% (Apr 2020) to 47.7% (Apr 2021), averaging 2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38060.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-phoenix-mesa-chandler-az-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 255.9 thousands | −1.8 |
| August 2026 | 254.5 thousands | −2.8 |
| July 2026 | 254.0 thousands | −2.0 |
| June 2026 | 260.7 thousands | −1.1 |
| May 2026 | 267.0 thousands | −1.9 |
| April 2026 | 270.3 thousands | −1.4 |
| March 2026 | 269.3 thousands | −2.3 |
| February 2026 | 270.5 thousands | −0.7 |
| January 2026 | 264.1 thousands | −1.3 |
| December 2025 | 266.2 thousands | −0.6 |
| November 2025 | 266.9 thousands | −0.5 |
| October 2025 | 266.1 thousands | 1.1 |
| September 2025 | 260.5 thousands | 0.4 |
| August 2025 | 261.8 thousands | 1.0 |
| July 2025 | 259.3 thousands | 1.1 |
| June 2025 | 263.7 thousands | 0.8 |
| May 2025 | 272.2 thousands | 1.2 |
| April 2025 | 274.2 thousands | 1.0 |
| March 2025 | 275.7 thousands | 1.8 |
| February 2025 | 272.5 thousands | 2.0 |
| January 2025 | 267.5 thousands | 2.4 |
| December 2024 | 267.7 thousands | 2.8 |
| November 2024 | 268.2 thousands | 3.7 |
| October 2024 | 263.3 thousands | 3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38060.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38060.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```