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

All Employees: Leisure and Hospitality — Terre Haute, IN (NSA) was down 5.3% year on year in September 2026, compared with −2.7% in August 2026.
The level stood at 7.10 thousands.
That is the lowest reading since May 2025.
Over the past ten years it has ranged from −36.4% (Apr 2020) to 42.9% (Apr 2021), averaging −0.07%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45460.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-terre-haute-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7.10 thousands | −5.3 |
| August 2026 | 7.30 thousands | −2.7 |
| July 2026 | 7.30 thousands | −2.7 |
| June 2026 | 7.30 thousands | −2.7 |
| May 2026 | 7.40 thousands | −1.3 |
| April 2026 | 7.40 thousands | −1.3 |
| March 2026 | 7.30 thousands | −1.4 |
| February 2026 | 7.10 thousands | −4.1 |
| January 2026 | 7.10 thousands | −2.7 |
| December 2025 | 7.20 thousands | −5.3 |
| November 2025 | 7.40 thousands | −2.6 |
| October 2025 | 7.40 thousands | −3.9 |
| September 2025 | 7.50 thousands | −3.8 |
| August 2025 | 7.50 thousands | −3.8 |
| July 2025 | 7.50 thousands | −3.8 |
| June 2025 | 7.50 thousands | −3.8 |
| May 2025 | 7.50 thousands | −6.2 |
| April 2025 | 7.50 thousands | −3.8 |
| March 2025 | 7.40 thousands | −1.3 |
| February 2025 | 7.40 thousands | 0.0 |
| January 2025 | 7.30 thousands | 1.4 |
| December 2024 | 7.60 thousands | 0.0 |
| November 2024 | 7.60 thousands | 1.3 |
| October 2024 | 7.70 thousands | 4.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45460.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45460.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```