# Employment: Tullahoma-Manchester, TN Micropolitan Statistical Area (U)

Employment: Tullahoma-Manchester, TN Micropolitan Statistical Area (U) was up 1.3% year on year in September 2025, compared with 0.5% in August 2025.
The level stood at 28,970 thousands.
That is the highest reading since April 2024.
Over the past ten years it has ranged from −16.3% (Apr 2020) to 16.0% (Apr 2021), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46100.EMP.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/employment-tullahoma-manchester-tn-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 28,970 thousands | — |
| August 2026 | 28,664 thousands | — |
| July 2026 | 28,763 thousands | — |
| June 2026 | 28,773 thousands | — |
| May 2026 | 28,915 thousands | — |
| April 2026 | 28,799 thousands | — |
| March 2026 | 28,483 thousands | — |
| February 2026 | 28,503 thousands | — |
| January 2026 | 28,562 thousands | — |
| December 2025 | 28,947 thousands | — |
| November 2025 | 28,824 thousands | — |
| September 2025 | 29,034 thousands | 1.3 |
| August 2025 | 28,930 thousands | 0.5 |
| July 2025 | 28,906 thousands | −0.4 |
| June 2025 | 28,985 thousands | 0.03 |
| May 2025 | 28,902 thousands | 0.1 |
| April 2025 | 29,132 thousands | 0.5 |
| March 2025 | 28,869 thousands | −0.4 |
| February 2025 | 28,731 thousands | 0.2 |
| January 2025 | 28,547 thousands | 0.7 |
| December 2024 | 28,397 thousands | −0.6 |
| November 2024 | 28,300 thousands | −1.0 |
| October 2024 | 28,479 thousands | −0.4 |
| September 2024 | 28,674 thousands | −0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-46100.EMP.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-46100.EMP.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```