# All Employees: Health Care and Social Assistance — Santa Rosa-Petaluma, CA (NSA)

All Employees: Health Care and Social Assistance — Santa Rosa-Petaluma, CA (NSA) was up 2.6% year on year in September 2026, compared with 2.6% in August 2026.
The level stood at 39.00 thousands.
Over the past ten years it has ranged from −6.1% (Apr 2020) to 6.5% (Apr 2025), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42220.PAYEMS.M.NSA.IND-65620000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-health-care-and-social-assistance-santa-rosa-petaluma-ca

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 39.00 thousands | 2.6 |
| August 2026 | 39.00 thousands | 2.6 |
| July 2026 | 38.90 thousands | 2.6 |
| June 2026 | 38.80 thousands | 3.2 |
| May 2026 | 39.00 thousands | 3.7 |
| April 2026 | 39.00 thousands | 4.0 |
| March 2026 | 38.80 thousands | 5.1 |
| February 2026 | 38.70 thousands | 4.9 |
| January 2026 | 38.60 thousands | 5.2 |
| December 2025 | 38.50 thousands | 5.5 |
| November 2025 | 38.50 thousands | 5.8 |
| October 2025 | 38.30 thousands | 5.8 |
| September 2025 | 38.00 thousands | 6.1 |
| August 2025 | 38.00 thousands | 5.8 |
| July 2025 | 37.90 thousands | 6.5 |
| June 2025 | 37.60 thousands | 5.9 |
| May 2025 | 37.60 thousands | 6.5 |
| April 2025 | 37.50 thousands | 6.5 |
| March 2025 | 36.90 thousands | 4.8 |
| February 2025 | 36.90 thousands | 5.4 |
| January 2025 | 36.70 thousands | 5.2 |
| December 2024 | 36.50 thousands | 4.6 |
| November 2024 | 36.40 thousands | 4.3 |
| October 2024 | 36.20 thousands | 4.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42220.PAYEMS.M.NSA.IND-65620000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42220.PAYEMS.M.NSA.IND-65620000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```