# All Employees: Private Colleges, Universities, and Professional Schools — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Private Colleges, Universities, and Professional Schools — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 3.7% year on year in September 2026, compared with −0.2% in August 2026.
The level stood at 75.70 thousands.
That is the highest reading since June 2025.
Over the past ten years it has ranged from −13.8% (Dec 2020) to 11.7% (Jan 2018), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-65611300`
- 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-colleges-universities-and-professional-schools-us-31084-payems-m-nsa-ind-65611300

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 75.70 thousands | 3.7 |
| August 2026 | 66.10 thousands | −0.2 |
| July 2026 | 66.90 thousands | 1.5 |
| June 2026 | 73.60 thousands | 3.2 |
| May 2026 | 73.70 thousands | −3.5 |
| April 2026 | 77.10 thousands | −2.5 |
| March 2026 | 76.40 thousands | −0.9 |
| February 2026 | 76.10 thousands | −0.8 |
| January 2026 | 74.90 thousands | 0.4 |
| December 2025 | 75.10 thousands | −0.9 |
| November 2025 | 77.20 thousands | −1.0 |
| October 2025 | 76.50 thousands | −0.9 |
| September 2025 | 73.00 thousands | −2.0 |
| August 2025 | 66.20 thousands | −0.3 |
| July 2025 | 65.90 thousands | −1.9 |
| June 2025 | 71.30 thousands | 4.7 |
| May 2025 | 76.40 thousands | 2.7 |
| April 2025 | 79.10 thousands | 1.9 |
| March 2025 | 77.10 thousands | 2.5 |
| February 2025 | 76.70 thousands | 4.2 |
| January 2025 | 74.60 thousands | 4.6 |
| December 2024 | 75.80 thousands | 1.7 |
| November 2024 | 78.00 thousands | 2.8 |
| October 2024 | 77.20 thousands | 2.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-65611300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-65611300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```