# All Employees: Finance and Insurance — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA)

All Employees: Finance and Insurance — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA) was down 5.8% year on year in September 2026, compared with −4.8% in August 2026.
The level stood at 51.80 thousands.
That is the lowest reading since June 2024.
Over the past ten years it has ranged from −8.1% (Dec 2023) to 5.6% (Jun 2022), averaging −0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41884.PAYEMS.M.NSA.IND-55520000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-finance-and-insurance-san-francisco-san-mateo-redwood

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 51.80 thousands | −5.8 |
| August 2026 | 53.00 thousands | −4.8 |
| July 2026 | 53.10 thousands | −4.5 |
| June 2026 | 53.80 thousands | −2.2 |
| May 2026 | 53.10 thousands | −2.6 |
| April 2026 | 53.60 thousands | −2.0 |
| March 2026 | 54.00 thousands | −1.3 |
| February 2026 | 54.10 thousands | −1.5 |
| January 2026 | 54.10 thousands | −2.0 |
| December 2025 | 55.30 thousands | −0.5 |
| November 2025 | 55.40 thousands | −1.1 |
| October 2025 | 55.30 thousands | −1.3 |
| September 2025 | 55.00 thousands | −1.6 |
| August 2025 | 55.70 thousands | −1.8 |
| July 2025 | 55.60 thousands | −2.5 |
| June 2025 | 55.00 thousands | −2.7 |
| May 2025 | 54.50 thousands | −2.3 |
| April 2025 | 54.70 thousands | −2.7 |
| March 2025 | 54.70 thousands | −3.4 |
| February 2025 | 54.90 thousands | −3.7 |
| January 2025 | 55.20 thousands | −4.2 |
| December 2024 | 55.60 thousands | −4.3 |
| November 2024 | 56.00 thousands | −4.4 |
| October 2024 | 56.00 thousands | −5.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-55520000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-55520000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```