# All Employees: Local Government Educational Services — Tucson, AZ (NSA)

All Employees: Local Government Educational Services — Tucson, AZ (NSA) was down 1.4% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 21.20 thousands.
Over the past ten years it has ranged from −13.4% (Jul 2020) to 16.1% (Jun 2024), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46060.PAYEMS.M.NSA.IND-90931611`
- Frequency: monthly
- Units: thousands
- Coverage: 1994-01-01 to 2026-09-01 (393 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-educational-services-tucson-az-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 21.20 thousands | −1.4 |
| August 2026 | 20.20 thousands | −0.5 |
| July 2026 | 18.20 thousands | 0.6 |
| June 2026 | 18.50 thousands | −0.5 |
| May 2026 | 21.30 thousands | −2.7 |
| April 2026 | 21.50 thousands | −1.4 |
| March 2026 | 21.30 thousands | −1.8 |
| February 2026 | 21.70 thousands | −1.4 |
| January 2026 | 20.50 thousands | −1.4 |
| December 2025 | 21.60 thousands | −0.5 |
| November 2025 | 21.70 thousands | −0.9 |
| October 2025 | 21.70 thousands | 0.9 |
| September 2025 | 21.50 thousands | 0.0 |
| August 2025 | 20.30 thousands | −0.5 |
| July 2025 | 18.10 thousands | −0.5 |
| June 2025 | 18.60 thousands | −0.5 |
| May 2025 | 21.90 thousands | 1.9 |
| April 2025 | 21.80 thousands | 0.0 |
| March 2025 | 21.70 thousands | 0.5 |
| February 2025 | 22.00 thousands | 0.9 |
| January 2025 | 20.80 thousands | −2.3 |
| December 2024 | 21.70 thousands | 0.5 |
| November 2024 | 21.90 thousands | 0.9 |
| October 2024 | 21.50 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-46060.PAYEMS.M.NSA.IND-90931611"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-46060.PAYEMS.M.NSA.IND-90931611",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```