# All Employees: Leisure and Hospitality — Baltimore-Columbia-Towson, MD (NSA)

All Employees: Leisure and Hospitality — Baltimore-Columbia-Towson, MD (NSA) was up 2.8% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 135.7 thousands.
That is the highest reading since December 2024.
Over the past ten years it has ranged from −55.3% (Apr 2020) to 69.5% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12580.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-baltimore-columbia-towson-md-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 135.7 thousands | 2.8 |
| August 2026 | 139.7 thousands | 0.8 |
| July 2026 | 141.1 thousands | 1.4 |
| June 2026 | 139.6 thousands | 0.2 |
| May 2026 | 134.8 thousands | −1.4 |
| April 2026 | 128.9 thousands | −1.2 |
| March 2026 | 124.9 thousands | −1.3 |
| February 2026 | 122.6 thousands | −1.0 |
| January 2026 | 124.0 thousands | −1.2 |
| December 2025 | 124.9 thousands | −3.3 |
| November 2025 | 125.9 thousands | −3.2 |
| October 2025 | 129.3 thousands | −3.1 |
| September 2025 | 132.0 thousands | −1.2 |
| August 2025 | 138.6 thousands | −0.07 |
| July 2025 | 139.1 thousands | −0.2 |
| June 2025 | 139.3 thousands | −0.4 |
| May 2025 | 136.7 thousands | 0.7 |
| April 2025 | 130.4 thousands | −0.2 |
| March 2025 | 126.5 thousands | 0.6 |
| February 2025 | 123.8 thousands | 0.4 |
| January 2025 | 125.5 thousands | 1.2 |
| December 2024 | 129.1 thousands | 3.0 |
| November 2024 | 130.0 thousands | 3.4 |
| October 2024 | 133.4 thousands | 3.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12580.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12580.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```