# All Employees: Local Government Educational Services — CT (statewide) (NSA)

All Employees: Local Government Educational Services — CT (statewide) (NSA) was down 1.0% year on year in September 2026, compared with −1.1% in August 2026.
The level stood at 89.70 thousands.
Over the past ten years it has ranged from −8.9% (May 2020) to 7.4% (Jul 2021), averaging −0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT.PAYEMS.M.NSA.IND-90931611`
- Frequency: monthly
- Units: thousands
- Coverage: 2002-01-01 to 2026-09-01 (297 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-educational-services-ct-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 89.70 thousands | −1.0 |
| August 2026 | 74.20 thousands | −1.1 |
| July 2026 | 73.60 thousands | −1.3 |
| June 2026 | 90.80 thousands | −1.5 |
| May 2026 | 93.50 thousands | −1.1 |
| April 2026 | 91.00 thousands | −2.3 |
| March 2026 | 93.00 thousands | −0.5 |
| February 2026 | 92.50 thousands | −0.4 |
| January 2026 | 93.00 thousands | −0.7 |
| December 2025 | 92.80 thousands | −0.6 |
| November 2025 | 92.80 thousands | −0.6 |
| October 2025 | 92.30 thousands | −0.6 |
| September 2025 | 90.60 thousands | −0.4 |
| August 2025 | 75.00 thousands | −0.7 |
| July 2025 | 74.60 thousands | 0.0 |
| June 2025 | 92.20 thousands | 0.4 |
| May 2025 | 94.50 thousands | −0.5 |
| April 2025 | 93.10 thousands | 0.1 |
| March 2025 | 93.50 thousands | −0.8 |
| February 2025 | 92.90 thousands | −1.1 |
| January 2025 | 93.70 thousands | −0.4 |
| December 2024 | 93.40 thousands | −0.6 |
| November 2024 | 93.40 thousands | −0.6 |
| October 2024 | 92.90 thousands | −0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.PAYEMS.M.NSA.IND-90931611"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT.PAYEMS.M.NSA.IND-90931611",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```