# All Employees: Leisure and Hospitality — Columbus, IN (NSA)

All Employees: Leisure and Hospitality — Columbus, IN (NSA) was down 5.0% year on year in September 2026, compared with −2.4% in August 2026.
The level stood at 3.80 thousands.
That is the lowest reading since March 2021.
Over the past ten years it has ranged from −45.0% (Apr 2020) to 59.1% (Apr 2021), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-18020.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-columbus-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 3.80 thousands | −5.0 |
| August 2026 | 4.00 thousands | −2.4 |
| July 2026 | 4.00 thousands | −4.8 |
| June 2026 | 4.00 thousands | −2.4 |
| May 2026 | 4.00 thousands | 0.0 |
| April 2026 | 3.90 thousands | 0.0 |
| March 2026 | 3.90 thousands | 0.0 |
| February 2026 | 3.80 thousands | 0.0 |
| January 2026 | 3.70 thousands | −2.6 |
| December 2025 | 3.80 thousands | −2.6 |
| November 2025 | 3.90 thousands | −2.5 |
| October 2025 | 3.90 thousands | −2.5 |
| September 2025 | 4.00 thousands | 0.0 |
| August 2025 | 4.10 thousands | 0.0 |
| July 2025 | 4.20 thousands | 0.0 |
| June 2025 | 4.10 thousands | 0.0 |
| May 2025 | 4.00 thousands | −4.8 |
| April 2025 | 3.90 thousands | −4.9 |
| March 2025 | 3.90 thousands | −2.5 |
| February 2025 | 3.80 thousands | −2.6 |
| January 2025 | 3.80 thousands | −2.6 |
| December 2024 | 3.90 thousands | −2.5 |
| November 2024 | 4.00 thousands | −2.4 |
| October 2024 | 4.00 thousands | −2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-18020.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-18020.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```