# All Employees: Leisure and Hospitality — MN (statewide) (NSA)

All Employees: Leisure and Hospitality — MN (statewide) (NSA) was up 1.9% year on year in September 2026, compared with 0.5% in August 2026.
The level stood at 284.0 thousands.
That is the highest reading since December 2024.
Over the past ten years it has ranged from −54.2% (Apr 2020) to 75.9% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MN.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-mn-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 284.0 thousands | 1.9 |
| August 2026 | 296.1 thousands | 0.5 |
| July 2026 | 296.6 thousands | 1.5 |
| June 2026 | 294.1 thousands | 0.8 |
| May 2026 | 282.1 thousands | −0.3 |
| April 2026 | 263.1 thousands | −1.9 |
| March 2026 | 252.1 thousands | −1.7 |
| February 2026 | 251.0 thousands | −2.1 |
| January 2026 | 254.2 thousands | −1.4 |
| December 2025 | 260.7 thousands | −1.9 |
| November 2025 | 263.5 thousands | −0.4 |
| October 2025 | 272.9 thousands | −0.07 |
| September 2025 | 278.6 thousands | −0.3 |
| August 2025 | 294.5 thousands | 0.5 |
| July 2025 | 292.2 thousands | −0.1 |
| June 2025 | 291.7 thousands | −0.4 |
| May 2025 | 283.0 thousands | 0.4 |
| April 2025 | 268.3 thousands | 0.5 |
| March 2025 | 256.5 thousands | −0.7 |
| February 2025 | 256.3 thousands | 0.3 |
| January 2025 | 257.9 thousands | 1.3 |
| December 2024 | 265.7 thousands | 3.1 |
| November 2024 | 264.6 thousands | 2.0 |
| October 2024 | 273.1 thousands | 1.9 |

## API

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

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