# Connecticut Employment (household survey)

Connecticut Employment (household survey) was down 1.1% year on year in September 2025, compared with −0.9% in August 2025.
The level stood at 1,785,377 thousands.
That is the lowest reading since February 2023.
Over the past ten years it has ranged from −9.9% (Dec 2020) to 10.8% (Mar 2022), averaging 0.5%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics
- Makrognosis code: `US-CT.EMP.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1996-01-01 to 2026-09-01 (368 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/connecticut-employment-household-survey

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,785,377 thousands | — |
| August 2026 | 1,782,459 thousands | — |
| July 2026 | 1,784,496 thousands | — |
| June 2026 | 1,791,603 thousands | — |
| May 2026 | 1,803,076 thousands | — |
| April 2026 | 1,815,734 thousands | — |
| March 2026 | 1,828,680 thousands | — |
| February 2026 | 1,838,596 thousands | — |
| January 2026 | 1,844,343 thousands | — |
| December 2025 | 1,850,464 thousands | — |
| November 2025 | 1,850,224 thousands | — |
| September 2025 | 1,852,261 thousands | −1.1 |
| August 2025 | 1,854,884 thousands | −0.9 |
| July 2025 | 1,858,091 thousands | −0.7 |
| June 2025 | 1,861,114 thousands | −0.5 |
| May 2025 | 1,863,967 thousands | −0.2 |
| April 2025 | 1,866,980 thousands | 0.03 |
| March 2025 | 1,869,664 thousands | 0.3 |
| February 2025 | 1,871,745 thousands | 0.6 |
| January 2025 | 1,873,242 thousands | 0.8 |
| December 2024 | 1,873,986 thousands | 1.0 |
| November 2024 | 1,874,028 thousands | 1.1 |
| October 2024 | 1,873,621 thousands | 1.1 |
| September 2024 | 1,872,782 thousands | 1.1 |

## API

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

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