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

All Employees: Local Government Educational Services — GA (statewide) (NSA) was up 0.7% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 258.6 thousands.
Over the past ten years it has ranged from −6.3% (Feb 2021) to 3.3% (Aug 2023), averaging 0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-GA.PAYEMS.M.NSA.IND-90931611`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-educational-services-ga-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 258.6 thousands | 0.7 |
| August 2026 | 255.8 thousands | 1.2 |
| July 2026 | 238.3 thousands | 1.1 |
| June 2026 | 250.3 thousands | −0.04 |
| May 2026 | 258.7 thousands | −0.2 |
| April 2026 | 259.1 thousands | −0.08 |
| March 2026 | 259.6 thousands | 0.04 |
| February 2026 | 258.8 thousands | −0.3 |
| January 2026 | 258.3 thousands | −0.08 |
| December 2025 | 258.7 thousands | −0.2 |
| November 2025 | 259.0 thousands | −0.3 |
| October 2025 | 258.6 thousands | 0.04 |
| September 2025 | 256.9 thousands | −0.2 |
| August 2025 | 252.8 thousands | −1.1 |
| July 2025 | 235.6 thousands | 0.5 |
| June 2025 | 250.4 thousands | 1.2 |
| May 2025 | 259.2 thousands | 0.9 |
| April 2025 | 259.3 thousands | 1.1 |
| March 2025 | 259.5 thousands | 1.2 |
| February 2025 | 259.7 thousands | 1.3 |
| January 2025 | 258.5 thousands | 1.2 |
| December 2024 | 259.2 thousands | 1.7 |
| November 2024 | 259.9 thousands | 1.8 |
| October 2024 | 258.5 thousands | 1.9 |

## API

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

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