# All Employees: Management of Companies and Enterprises — CT (statewide) (NSA)

All Employees: Management of Companies and Enterprises — CT (statewide) (NSA) was up 0.7% year on year in September 2026, compared with 0.0% in August 2026.
The level stood at 30.50 thousands.
Over the past ten years it has ranged from −8.1% (Jun 2020) to 5.3% (Feb 2018), averaging −0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT.PAYEMS.M.NSA.IND-60550000`
- Frequency: monthly
- Units: thousands
- Coverage: 1998-01-01 to 2026-09-01 (345 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-management-of-companies-and-enterprises-ct-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 30.50 thousands | 0.7 |
| August 2026 | 30.50 thousands | 0.0 |
| July 2026 | 30.90 thousands | 1.0 |
| June 2026 | 30.80 thousands | 0.7 |
| May 2026 | 30.70 thousands | 1.7 |
| April 2026 | 30.50 thousands | 0.7 |
| March 2026 | 30.10 thousands | −1.3 |
| February 2026 | 30.20 thousands | −0.7 |
| January 2026 | 30.60 thousands | 0.3 |
| December 2025 | 30.00 thousands | −3.5 |
| November 2025 | 30.00 thousands | −3.5 |
| October 2025 | 30.10 thousands | −2.9 |
| September 2025 | 30.30 thousands | −2.3 |
| August 2025 | 30.50 thousands | −1.9 |
| July 2025 | 30.60 thousands | −2.2 |
| June 2025 | 30.60 thousands | −2.9 |
| May 2025 | 30.20 thousands | −2.9 |
| April 2025 | 30.30 thousands | −1.9 |
| March 2025 | 30.50 thousands | −1.0 |
| February 2025 | 30.40 thousands | −1.3 |
| January 2025 | 30.50 thousands | −0.7 |
| December 2024 | 31.10 thousands | 0.3 |
| November 2024 | 31.10 thousands | 0.6 |
| October 2024 | 31.00 thousands | 0.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.PAYEMS.M.NSA.IND-60550000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT.PAYEMS.M.NSA.IND-60550000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```