# All Employees: Leisure and Hospitality — Fort Collins-Loveland, CO (NSA)

All Employees: Leisure and Hospitality — Fort Collins-Loveland, CO (NSA) was up 3.0% year on year in September 2026, compared with 2.5% in August 2026.
The level stood at 23.80 thousands.
Over the past ten years it has ranged from −52.1% (Apr 2020) to 76.7% (Apr 2021), averaging 2.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-22660.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-fort-collins-loveland-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 23.80 thousands | 3.0 |
| August 2026 | 24.60 thousands | 2.5 |
| July 2026 | 25.10 thousands | 3.3 |
| June 2026 | 24.80 thousands | 6.0 |
| May 2026 | 23.10 thousands | 1.3 |
| April 2026 | 22.30 thousands | 2.3 |
| March 2026 | 21.70 thousands | 2.4 |
| February 2026 | 21.30 thousands | 1.4 |
| January 2026 | 21.20 thousands | 0.5 |
| December 2025 | 22.10 thousands | 0.9 |
| November 2025 | 22.20 thousands | −0.9 |
| October 2025 | 22.70 thousands | −1.3 |
| September 2025 | 23.10 thousands | −1.7 |
| August 2025 | 24.00 thousands | −1.6 |
| July 2025 | 24.30 thousands | −1.6 |
| June 2025 | 23.40 thousands | −7.5 |
| May 2025 | 22.80 thousands | −7.3 |
| April 2025 | 21.80 thousands | −8.0 |
| March 2025 | 21.20 thousands | −9.0 |
| February 2025 | 21.00 thousands | −7.5 |
| January 2025 | 21.10 thousands | −8.3 |
| December 2024 | 21.90 thousands | −7.6 |
| November 2024 | 22.40 thousands | −5.1 |
| October 2024 | 23.00 thousands | −4.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-22660.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-22660.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
