# All Employees: Individual and Family Services — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Individual and Family Services — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 5.0% year on year in September 2026, compared with 5.5% in August 2026.
The level stood at 335.9 thousands.
That is the lowest reading since December 2024.
Over the past ten years it has ranged from 0.7% (Jul 2020) to 10.6% (Jan 2024), averaging 5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-65624100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-individual-and-family-services-los-angeles-long-beach

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 335.9 thousands | 5.0 |
| August 2026 | 336.7 thousands | 5.5 |
| July 2026 | 336.4 thousands | 5.5 |
| June 2026 | 335.5 thousands | 6.2 |
| May 2026 | 334.8 thousands | 5.3 |
| April 2026 | 335.3 thousands | 5.6 |
| March 2026 | 333.2 thousands | 6.9 |
| February 2026 | 331.2 thousands | 6.5 |
| January 2026 | 328.3 thousands | 6.5 |
| December 2025 | 324.5 thousands | 7.4 |
| November 2025 | 326.9 thousands | 7.5 |
| October 2025 | 325.9 thousands | 7.7 |
| September 2025 | 319.9 thousands | 7.0 |
| August 2025 | 319.0 thousands | 6.8 |
| July 2025 | 318.9 thousands | 7.9 |
| June 2025 | 315.9 thousands | 8.6 |
| May 2025 | 318.0 thousands | 8.7 |
| April 2025 | 317.5 thousands | 9.4 |
| March 2025 | 311.6 thousands | 7.0 |
| February 2025 | 311.0 thousands | 6.5 |
| January 2025 | 308.3 thousands | 5.9 |
| December 2024 | 302.2 thousands | 4.4 |
| November 2024 | 304.0 thousands | 5.4 |
| October 2024 | 302.5 thousands | 6.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-65624100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-65624100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
