# Employment: Lower Connecticut River Valley Planning Region, CT (U)

Employment: Lower Connecticut River Valley Planning Region, CT (U) was down 1.0% year on year in September 2025, compared with −0.6% in August 2025.
The level stood at 91,350 thousands.
That is the lowest reading since March 2023.
Over the past ten years it has ranged from −9.7% (Feb 2021) to 10.1% (Mar 2022), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT-09130.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-lower-connecticut-river-valley-planning-region-ct-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 91,350 thousands | — |
| August 2026 | 89,585 thousands | — |
| July 2026 | 89,861 thousands | — |
| June 2026 | 89,744 thousands | — |
| May 2026 | 89,536 thousands | — |
| April 2026 | 89,524 thousands | — |
| March 2026 | 90,368 thousands | — |
| February 2026 | 90,546 thousands | — |
| January 2026 | 91,227 thousands | — |
| December 2025 | 92,961 thousands | — |
| November 2025 | 93,676 thousands | — |
| September 2025 | 93,612 thousands | −1.0 |
| August 2025 | 92,877 thousands | −0.6 |
| July 2025 | 93,837 thousands | −0.3 |
| June 2025 | 94,368 thousands | 0.05 |
| May 2025 | 93,997 thousands | 0.1 |
| April 2025 | 94,178 thousands | 1.3 |
| March 2025 | 93,954 thousands | 0.9 |
| February 2025 | 93,054 thousands | 1.2 |
| January 2025 | 94,026 thousands | 1.8 |
| December 2024 | 94,384 thousands | 1.7 |
| November 2024 | 94,610 thousands | 0.6 |
| October 2024 | 94,467 thousands | 1.1 |
| September 2024 | 94,524 thousands | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT-09130.EMP.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT-09130.EMP.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```