# All Employees: Professional, Scientific, and Technical Services — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA)

All Employees: Professional, Scientific, and Technical Services — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA) was up 0.6% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 200.2 thousands.
Over the past ten years it has ranged from −7.1% (Jan 2025) to 12.3% (Jun 2022), averaging 1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41884.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-san-us-41884-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 200.2 thousands | 0.6 |
| August 2026 | 200.4 thousands | −0.3 |
| July 2026 | 203.7 thousands | 0.7 |
| June 2026 | 201.9 thousands | 0.6 |
| May 2026 | 199.2 thousands | 0.7 |
| April 2026 | 200.7 thousands | 1.2 |
| March 2026 | 199.8 thousands | 0.2 |
| February 2026 | 201.0 thousands | 0.5 |
| January 2026 | 200.1 thousands | 0.05 |
| December 2025 | 201.9 thousands | −1.2 |
| November 2025 | 201.4 thousands | −2.2 |
| October 2025 | 202.2 thousands | −2.3 |
| September 2025 | 199.1 thousands | −3.5 |
| August 2025 | 201.1 thousands | −4.5 |
| July 2025 | 202.2 thousands | −5.0 |
| June 2025 | 200.7 thousands | −5.1 |
| May 2025 | 197.9 thousands | −5.9 |
| April 2025 | 198.4 thousands | −6.0 |
| March 2025 | 199.4 thousands | −6.8 |
| February 2025 | 200.0 thousands | −6.6 |
| January 2025 | 200.0 thousands | −7.1 |
| December 2024 | 204.4 thousands | −6.2 |
| November 2024 | 205.9 thousands | −5.4 |
| October 2024 | 206.9 thousands | −5.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```