# All Employees: Service-Providing — Sacramento-Roseville-Folsom, CA (NSA)

All Employees: Service-Providing — Sacramento-Roseville-Folsom, CA (NSA) was up 1.1% year on year in September 2026, compared with 1.0% in August 2026.
The level stood at 992.5 thousands.
Over the past ten years it has ranged from −12.3% (Apr 2020) to 11.4% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-40900.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-sacramento-roseville-folsom-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 992.5 thousands | 1.1 |
| August 2026 | 993.5 thousands | 1.0 |
| July 2026 | 985.6 thousands | 0.7 |
| June 2026 | 999.4 thousands | 1.1 |
| May 2026 | 1,001.0 thousands | 1.0 |
| April 2026 | 999.2 thousands | 1.0 |
| March 2026 | 994.8 thousands | 1.3 |
| February 2026 | 991.4 thousands | 1.3 |
| January 2026 | 989.8 thousands | 1.2 |
| December 2025 | 1,001.3 thousands | 1.2 |
| November 2025 | 1,001.3 thousands | 1.2 |
| October 2025 | 992.1 thousands | 0.8 |
| September 2025 | 981.5 thousands | 1.0 |
| August 2025 | 983.9 thousands | 1.2 |
| July 2025 | 978.5 thousands | 1.3 |
| June 2025 | 988.6 thousands | 1.4 |
| May 2025 | 990.7 thousands | 1.5 |
| April 2025 | 989.1 thousands | 1.7 |
| March 2025 | 982.4 thousands | 1.4 |
| February 2025 | 978.7 thousands | 1.6 |
| January 2025 | 977.8 thousands | 1.4 |
| December 2024 | 989.1 thousands | 1.9 |
| November 2024 | 989.8 thousands | 1.7 |
| October 2024 | 984.2 thousands | 2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-40900.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-40900.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
