# Employment: Waterbury-Shelton, CT Metropolitan Statistical Area (U)

Employment: Waterbury-Shelton, CT Metropolitan Statistical Area (U) was down 2.1% year on year in September 2025, compared with −1.3% in August 2025.
The level stood at 220,551 thousands.
That is the lowest reading since March 2021.
Over the past ten years it has ranged from −10.4% (May 2020) to 11.3% (Mar 2022), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47930.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-waterbury-shelton-ct-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 220,551 thousands | — |
| August 2026 | 218,917 thousands | — |
| July 2026 | 219,946 thousands | — |
| June 2026 | 218,298 thousands | — |
| May 2026 | 216,796 thousands | — |
| April 2026 | 216,429 thousands | — |
| March 2026 | 218,344 thousands | — |
| February 2026 | 218,966 thousands | — |
| January 2026 | 220,660 thousands | — |
| December 2025 | 224,564 thousands | — |
| November 2025 | 226,151 thousands | — |
| September 2025 | 226,917 thousands | −2.1 |
| August 2025 | 227,129 thousands | −1.3 |
| July 2025 | 229,687 thousands | −1.1 |
| June 2025 | 230,327 thousands | −0.8 |
| May 2025 | 228,545 thousands | −0.7 |
| April 2025 | 228,758 thousands | 0.2 |
| March 2025 | 227,779 thousands | −0.3 |
| February 2025 | 225,325 thousands | 0.05 |
| January 2025 | 227,988 thousands | 0.5 |
| December 2024 | 230,257 thousands | 1.4 |
| November 2024 | 230,196 thousands | 0.01 |
| October 2024 | 230,908 thousands | 0.9 |
| September 2024 | 231,818 thousands | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47930.EMP.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47930.EMP.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```