# All Employees: Total Private — San Rafael, CA Metropolitan Division (NSA)

All Employees: Total Private — San Rafael, CA Metropolitan Division (NSA) was up 0.4% year on year in September 2026, compared with −0.1% in August 2026.
The level stood at 95.40 thousands.
Over the past ten years it has ranged from −22.4% (Apr 2020) to 17.9% (Apr 2021), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42034.PAYEMS.M.NSA.IND-05000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-private-san-rafael-ca-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 95.40 thousands | 0.4 |
| August 2026 | 96.00 thousands | −0.1 |
| July 2026 | 96.00 thousands | −0.6 |
| June 2026 | 95.70 thousands | −0.1 |
| May 2026 | 95.60 thousands | 0.0 |
| April 2026 | 95.10 thousands | 0.2 |
| March 2026 | 94.50 thousands | 0.4 |
| February 2026 | 94.40 thousands | 0.1 |
| January 2026 | 94.00 thousands | 0.1 |
| December 2025 | 95.90 thousands | −0.5 |
| November 2025 | 95.90 thousands | −1.0 |
| October 2025 | 95.80 thousands | −1.1 |
| September 2025 | 95.00 thousands | −0.8 |
| August 2025 | 96.10 thousands | −0.8 |
| July 2025 | 96.60 thousands | −1.0 |
| June 2025 | 95.80 thousands | −1.3 |
| May 2025 | 95.60 thousands | −0.5 |
| April 2025 | 94.90 thousands | 0.2 |
| March 2025 | 94.10 thousands | −1.7 |
| February 2025 | 94.30 thousands | −1.5 |
| January 2025 | 93.90 thousands | −2.3 |
| December 2024 | 96.40 thousands | −0.9 |
| November 2024 | 96.90 thousands | −0.1 |
| October 2024 | 96.90 thousands | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42034.PAYEMS.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42034.PAYEMS.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```