# All Employees: Private Education and Health Services — Terre Haute, IN (NSA)

All Employees: Private Education and Health Services — Terre Haute, IN (NSA) was up 0.8% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 12.80 thousands.
Over the past ten years it has ranged from −5.0% (Apr 2020) to 8.5% (Jun 2017), averaging 1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45460.PAYEMS.M.NSA.IND-65000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-education-and-health-services-terre-haute-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 12.80 thousands | 0.8 |
| August 2026 | 12.80 thousands | 0.8 |
| July 2026 | 12.80 thousands | 2.4 |
| June 2026 | 12.90 thousands | 3.2 |
| May 2026 | 12.90 thousands | 2.4 |
| April 2026 | 12.90 thousands | 2.4 |
| March 2026 | 12.80 thousands | 0.8 |
| February 2026 | 12.90 thousands | 1.6 |
| January 2026 | 12.80 thousands | 2.4 |
| December 2025 | 12.80 thousands | 1.6 |
| November 2025 | 12.80 thousands | 1.6 |
| October 2025 | 12.80 thousands | 1.6 |
| September 2025 | 12.70 thousands | 5.0 |
| August 2025 | 12.70 thousands | 5.8 |
| July 2025 | 12.50 thousands | 5.0 |
| June 2025 | 12.50 thousands | 4.2 |
| May 2025 | 12.60 thousands | 5.0 |
| April 2025 | 12.60 thousands | 5.9 |
| March 2025 | 12.70 thousands | 5.0 |
| February 2025 | 12.70 thousands | 5.0 |
| January 2025 | 12.50 thousands | 5.0 |
| December 2024 | 12.60 thousands | 5.0 |
| November 2024 | 12.60 thousands | 5.9 |
| October 2024 | 12.60 thousands | 5.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45460.PAYEMS.M.NSA.IND-65000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45460.PAYEMS.M.NSA.IND-65000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```