# All Employees: Accounting, Tax Preparation, Bookkeeping, and Payroll Services — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA)

All Employees: Accounting, Tax Preparation, Bookkeeping, and Payroll Services — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA) was up 5.0% year on year in September 2026, compared with −6.4% in August 2026.
The level stood at 12.60 thousands.
That is the highest reading since September 2022.
Over the past ten years it has ranged from −12.6% (Aug 2025) to 29.1% (Oct 2021), averaging 0.09%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41884.PAYEMS.M.NSA.IND-60541200`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-accounting-tax-preparation-bookkeeping-and-payroll-us-41884-payems-m-nsa-ind-60541200

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 12.60 thousands | 5.0 |
| August 2026 | 11.70 thousands | −6.4 |
| July 2026 | 12.00 thousands | −5.5 |
| June 2026 | 11.90 thousands | −11.2 |
| May 2026 | 11.20 thousands | −9.7 |
| April 2026 | 12.10 thousands | −6.2 |
| March 2026 | 12.10 thousands | −6.2 |
| February 2026 | 12.20 thousands | −6.9 |
| January 2026 | 12.00 thousands | −7.0 |
| December 2025 | 12.10 thousands | −6.2 |
| November 2025 | 11.90 thousands | −9.8 |
| October 2025 | 12.20 thousands | −9.0 |
| September 2025 | 12.00 thousands | −9.1 |
| August 2025 | 12.50 thousands | −12.6 |
| July 2025 | 12.70 thousands | −12.4 |
| June 2025 | 13.40 thousands | −4.3 |
| May 2025 | 12.40 thousands | −7.5 |
| April 2025 | 12.90 thousands | −3.7 |
| March 2025 | 12.90 thousands | −3.7 |
| February 2025 | 13.10 thousands | −2.2 |
| January 2025 | 12.90 thousands | −2.3 |
| December 2024 | 12.90 thousands | −2.3 |
| November 2024 | 13.20 thousands | −1.5 |
| October 2024 | 13.40 thousands | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-60541200"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-60541200",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```