# All Employees: Real Estate — Los Angeles-Long Beach-Anaheim, CA (NSA)

All Employees: Real Estate — Los Angeles-Long Beach-Anaheim, CA (NSA) was down 1.7% year on year in September 2026, compared with −1.8% in August 2026.
The level stood at 97.00 thousands.
Over the past ten years it has ranged from −6.3% (Apr 2020) to 6.8% (Apr 2021), averaging 0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31080.PAYEMS.M.NSA.IND-55531000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-real-estate-los-angeles-long-beach-anaheim-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 97.00 thousands | −1.7 |
| August 2026 | 98.50 thousands | −1.8 |
| July 2026 | 98.90 thousands | −1.3 |
| June 2026 | 98.40 thousands | −1.0 |
| May 2026 | 98.40 thousands | −1.4 |
| April 2026 | 98.40 thousands | −1.6 |
| March 2026 | 98.30 thousands | −1.1 |
| February 2026 | 98.60 thousands | −1.0 |
| January 2026 | 98.30 thousands | −0.7 |
| December 2025 | 100.9 thousands | −2.3 |
| November 2025 | 100.8 thousands | −3.8 |
| October 2025 | 101.2 thousands | −3.6 |
| September 2025 | 98.70 thousands | −1.8 |
| August 2025 | 100.3 thousands | −1.7 |
| July 2025 | 100.2 thousands | −2.2 |
| June 2025 | 99.40 thousands | −1.8 |
| May 2025 | 99.80 thousands | −1.8 |
| April 2025 | 100.0 thousands | −2.2 |
| March 2025 | 99.40 thousands | −4.0 |
| February 2025 | 99.60 thousands | −4.7 |
| January 2025 | 99.00 thousands | −6.0 |
| December 2024 | 103.3 thousands | −1.5 |
| November 2024 | 104.8 thousands | 1.6 |
| October 2024 | 105.0 thousands | 2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31080.PAYEMS.M.NSA.IND-55531000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31080.PAYEMS.M.NSA.IND-55531000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```