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

All Employees: Leisure and Hospitality — San Francisco-San Mateo-Redwood City, CA Metropolitan Division (NSA) was up 3.0% year on year in September 2026, compared with 4.5% in August 2026.
The level stood at 131.0 thousands.
Over the past ten years it has ranged from −58.5% (Apr 2020) to 71.3% (Jan 2022), averaging 2.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41884.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-san-francisco-san-mateo-redwood

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 131.0 thousands | 3.0 |
| August 2026 | 132.5 thousands | 4.5 |
| July 2026 | 132.6 thousands | 4.9 |
| June 2026 | 133.1 thousands | 4.0 |
| May 2026 | 131.4 thousands | 2.5 |
| April 2026 | 129.5 thousands | 3.8 |
| March 2026 | 128.6 thousands | 4.2 |
| February 2026 | 128.0 thousands | 4.6 |
| January 2026 | 126.0 thousands | 4.1 |
| December 2025 | 128.9 thousands | 4.8 |
| November 2025 | 127.6 thousands | 3.1 |
| October 2025 | 127.4 thousands | 2.4 |
| September 2025 | 127.2 thousands | 1.4 |
| August 2025 | 126.8 thousands | 1.0 |
| July 2025 | 126.4 thousands | 1.0 |
| June 2025 | 128.0 thousands | 1.2 |
| May 2025 | 128.2 thousands | 1.2 |
| April 2025 | 124.8 thousands | 0.6 |
| March 2025 | 123.4 thousands | 0.08 |
| February 2025 | 122.4 thousands | −0.08 |
| January 2025 | 121.0 thousands | −0.8 |
| December 2024 | 123.0 thousands | −1.4 |
| November 2024 | 123.8 thousands | −1.0 |
| October 2024 | 124.4 thousands | −0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41884.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
