# All Employees: Ambulatory Health Care Services — Phoenix-Mesa-Chandler, AZ (NSA)

All Employees: Ambulatory Health Care Services — Phoenix-Mesa-Chandler, AZ (NSA) was up 4.1% year on year in September 2026, compared with 4.3% in August 2026.
The level stood at 180.6 thousands.
Over the past ten years it has ranged from −6.8% (Apr 2020) to 17.4% (Apr 2021), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38060.PAYEMS.M.NSA.IND-65621000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-ambulatory-health-care-services-phoenix-mesa-chandler-az

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 180.6 thousands | 4.1 |
| August 2026 | 181.8 thousands | 4.3 |
| July 2026 | 181.9 thousands | 5.0 |
| June 2026 | 182.1 thousands | 5.8 |
| May 2026 | 182.4 thousands | 5.3 |
| April 2026 | 182.1 thousands | 5.4 |
| March 2026 | 178.6 thousands | 4.0 |
| February 2026 | 177.3 thousands | 3.1 |
| January 2026 | 176.9 thousands | 3.1 |
| December 2025 | 176.8 thousands | 2.7 |
| November 2025 | 176.3 thousands | 2.6 |
| October 2025 | 175.2 thousands | 2.6 |
| September 2025 | 173.5 thousands | 2.0 |
| August 2025 | 174.3 thousands | 2.6 |
| July 2025 | 173.2 thousands | 2.8 |
| June 2025 | 172.1 thousands | 2.4 |
| May 2025 | 173.3 thousands | 3.1 |
| April 2025 | 172.7 thousands | 3.0 |
| March 2025 | 171.7 thousands | 3.1 |
| February 2025 | 172.0 thousands | 3.5 |
| January 2025 | 171.5 thousands | 3.8 |
| December 2024 | 172.1 thousands | 3.7 |
| November 2024 | 171.9 thousands | 4.7 |
| October 2024 | 170.7 thousands | 4.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38060.PAYEMS.M.NSA.IND-65621000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38060.PAYEMS.M.NSA.IND-65621000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```