# All Employees: Administrative and Support and Waste Management and Remediation Services — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Administrative and Support and Waste Management and Remediation Services — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 0.2% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 281.0 thousands.
Over the past ten years it has ranged from −18.1% (Apr 2020) to 16.6% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-60560000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-administrative-and-support-and-waste-management-and-us-31084-payems-m-nsa-ind-60560000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 281.0 thousands | 0.2 |
| August 2026 | 275.3 thousands | 0.2 |
| July 2026 | 269.2 thousands | 1.3 |
| June 2026 | 273.4 thousands | 2.4 |
| May 2026 | 275.5 thousands | 0.1 |
| April 2026 | 275.4 thousands | 0.6 |
| March 2026 | 273.6 thousands | 0.5 |
| February 2026 | 273.6 thousands | 0.9 |
| January 2026 | 270.5 thousands | 1.3 |
| December 2025 | 281.6 thousands | 1.0 |
| November 2025 | 281.2 thousands | 0.07 |
| October 2025 | 282.2 thousands | −0.2 |
| September 2025 | 280.3 thousands | 0.4 |
| August 2025 | 274.8 thousands | −0.8 |
| July 2025 | 265.8 thousands | −0.7 |
| June 2025 | 267.1 thousands | −1.4 |
| May 2025 | 275.1 thousands | −1.1 |
| April 2025 | 273.7 thousands | −0.4 |
| March 2025 | 272.2 thousands | −0.5 |
| February 2025 | 271.1 thousands | −0.9 |
| January 2025 | 267.1 thousands | −2.5 |
| December 2024 | 278.8 thousands | 0.3 |
| November 2024 | 281.0 thousands | 0.7 |
| October 2024 | 282.8 thousands | 0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-60560000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-60560000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
