# All Employees: Leisure and Hospitality — Minneapolis-St. Paul-Bloomington, MN-WI (NSA)

All Employees: Leisure and Hospitality — Minneapolis-St. Paul-Bloomington, MN-WI (NSA) was up 2.6% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 194.7 thousands.
That is the highest reading since December 2024.
Over the past ten years it has ranged from −56.4% (Apr 2020) to 76.8% (Apr 2021), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-33460.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-minneapolis-st-paul-bloomington

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 194.7 thousands | 2.6 |
| August 2026 | 201.0 thousands | 0.9 |
| July 2026 | 200.9 thousands | 2.2 |
| June 2026 | 200.3 thousands | 1.3 |
| May 2026 | 191.5 thousands | −1.1 |
| April 2026 | 178.6 thousands | −3.6 |
| March 2026 | 172.2 thousands | −2.6 |
| February 2026 | 169.6 thousands | −4.0 |
| January 2026 | 171.5 thousands | −3.7 |
| December 2025 | 177.1 thousands | −3.3 |
| November 2025 | 179.8 thousands | −1.4 |
| October 2025 | 185.2 thousands | −0.9 |
| September 2025 | 189.8 thousands | −0.3 |
| August 2025 | 199.2 thousands | 0.7 |
| July 2025 | 196.6 thousands | 0.05 |
| June 2025 | 197.7 thousands | −0.2 |
| May 2025 | 193.7 thousands | 0.4 |
| April 2025 | 185.2 thousands | 0.7 |
| March 2025 | 176.8 thousands | −0.6 |
| February 2025 | 176.6 thousands | 0.5 |
| January 2025 | 178.1 thousands | 1.7 |
| December 2024 | 183.2 thousands | 3.2 |
| November 2024 | 182.4 thousands | 2.2 |
| October 2024 | 186.8 thousands | 1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-33460.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-33460.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```