# All Employees: Private Educational Services — Fresno, CA (NSA)

All Employees: Private Educational Services — Fresno, CA (NSA) was up 21.1% year on year in September 2026, compared with 8.8% in August 2026.
The level stood at 6.90 thousands.
That is the highest reading since February 2023.
Over the past ten years it has ranged from −26.1% (Apr 2020) to 23.8% (Feb 2023), averaging 4.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-23420.PAYEMS.M.NSA.IND-65610000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-educational-services-fresno-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 6.90 thousands | 21.1 |
| August 2026 | 6.20 thousands | 8.8 |
| July 2026 | 5.40 thousands | 0.0 |
| June 2026 | 5.30 thousands | −3.6 |
| May 2026 | 6.00 thousands | −1.6 |
| April 2026 | 6.30 thousands | 3.3 |
| March 2026 | 6.00 thousands | −1.6 |
| February 2026 | 5.90 thousands | −1.7 |
| January 2026 | 5.80 thousands | 1.8 |
| December 2025 | 6.00 thousands | 0.0 |
| November 2025 | 5.90 thousands | −3.3 |
| October 2025 | 5.80 thousands | −4.9 |
| September 2025 | 5.70 thousands | −1.7 |
| August 2025 | 5.70 thousands | 3.6 |
| July 2025 | 5.40 thousands | 3.8 |
| June 2025 | 5.50 thousands | −5.2 |
| May 2025 | 6.10 thousands | 5.2 |
| April 2025 | 6.10 thousands | 3.4 |
| March 2025 | 6.10 thousands | 5.2 |
| February 2025 | 6.00 thousands | 5.3 |
| January 2025 | 5.70 thousands | 1.8 |
| December 2024 | 6.00 thousands | 3.4 |
| November 2024 | 6.10 thousands | 10.9 |
| October 2024 | 6.10 thousands | 15.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-23420.PAYEMS.M.NSA.IND-65610000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-23420.PAYEMS.M.NSA.IND-65610000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```