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

All Employees: Leisure and Hospitality — MT (statewide) (NSA) was down 5.0% year on year in September 2026, compared with −3.0% in August 2026.
The level stood at 72.30 thousands.
That is the lowest reading since February 2021.
Over the past ten years it has ranged from −46.5% (Apr 2020) to 81.6% (Apr 2021), averaging 1.8%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 72.30 thousands | −5.0 |
| August 2026 | 78.80 thousands | −3.0 |
| July 2026 | 79.60 thousands | −2.2 |
| June 2026 | 77.30 thousands | −2.0 |
| May 2026 | 70.30 thousands | −4.2 |
| April 2026 | 69.30 thousands | −2.9 |
| March 2026 | 69.70 thousands | −1.1 |
| February 2026 | 70.00 thousands | 0.3 |
| January 2026 | 70.40 thousands | 1.0 |
| December 2025 | 71.10 thousands | 0.3 |
| November 2025 | 69.30 thousands | 1.6 |
| October 2025 | 72.40 thousands | 1.3 |
| September 2025 | 76.10 thousands | −0.8 |
| August 2025 | 81.20 thousands | 0.0 |
| July 2025 | 81.40 thousands | 0.1 |
| June 2025 | 78.90 thousands | −1.1 |
| May 2025 | 73.40 thousands | −0.7 |
| April 2025 | 71.40 thousands | −0.4 |
| March 2025 | 70.50 thousands | −0.1 |
| February 2025 | 69.80 thousands | 0.3 |
| January 2025 | 69.70 thousands | 1.3 |
| December 2024 | 70.90 thousands | 0.3 |
| November 2024 | 68.20 thousands | −1.2 |
| October 2024 | 71.50 thousands | 0.8 |

## API

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

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