# All Employees: Religious, Grantmaking, Civic, Professional, and Similar Organizations — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Religious, Grantmaking, Civic, Professional, and Similar Organizations — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 1.9% year on year in September 2026, compared with 0.3% in August 2026.
The level stood at 63.60 thousands.
Over the past ten years it has ranged from −20.9% (Feb 2021) to 14.4% (Feb 2022), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-80813000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-religious-grantmaking-civic-professional-and-similar-us-31084-payems-m-nsa-ind-80813000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 63.60 thousands | 1.9 |
| August 2026 | 63.10 thousands | 0.3 |
| July 2026 | 65.10 thousands | 4.2 |
| June 2026 | 64.50 thousands | 2.9 |
| May 2026 | 64.70 thousands | 2.5 |
| April 2026 | 65.00 thousands | 4.2 |
| March 2026 | 64.30 thousands | 4.4 |
| February 2026 | 64.20 thousands | 4.2 |
| January 2026 | 62.70 thousands | 4.2 |
| December 2025 | 62.90 thousands | 0.5 |
| November 2025 | 63.30 thousands | −0.8 |
| October 2025 | 63.20 thousands | −1.1 |
| September 2025 | 62.40 thousands | 0.5 |
| August 2025 | 62.90 thousands | 0.6 |
| July 2025 | 62.50 thousands | −0.2 |
| June 2025 | 62.70 thousands | 1.1 |
| May 2025 | 63.10 thousands | 0.8 |
| April 2025 | 62.40 thousands | 0.6 |
| March 2025 | 61.60 thousands | 0.0 |
| February 2025 | 61.60 thousands | 0.5 |
| January 2025 | 60.20 thousands | 0.5 |
| December 2024 | 62.60 thousands | 2.3 |
| November 2024 | 63.80 thousands | 3.9 |
| October 2024 | 63.90 thousands | 4.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-80813000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-80813000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```