# All Employees: Museums, Historical Sites, and Similar Institutions — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Museums, Historical Sites, and Similar Institutions — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 2.9% year on year in September 2026, compared with 2.9% in August 2026.
The level stood at 7.10 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −31.6% (Feb 2021) to 28.2% (Feb 2022), averaging 3.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-70712000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-museums-historical-sites-and-similar-institutions-los

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7.10 thousands | 2.9 |
| August 2026 | 7.20 thousands | 2.9 |
| July 2026 | 7.20 thousands | 1.4 |
| June 2026 | 7.20 thousands | 2.9 |
| May 2026 | 7.10 thousands | 1.4 |
| April 2026 | 7.00 thousands | 0.0 |
| March 2026 | 6.90 thousands | 0.0 |
| February 2026 | 6.90 thousands | 0.0 |
| January 2026 | 6.90 thousands | 1.5 |
| December 2025 | 6.90 thousands | 0.0 |
| November 2025 | 6.90 thousands | 0.0 |
| October 2025 | 6.90 thousands | 1.5 |
| September 2025 | 6.90 thousands | 4.5 |
| August 2025 | 7.00 thousands | 6.1 |
| July 2025 | 7.10 thousands | 9.2 |
| June 2025 | 7.00 thousands | 7.7 |
| May 2025 | 7.00 thousands | 7.7 |
| April 2025 | 7.00 thousands | 9.4 |
| March 2025 | 6.90 thousands | 9.5 |
| February 2025 | 6.90 thousands | 9.5 |
| January 2025 | 6.80 thousands | 9.7 |
| December 2024 | 6.90 thousands | 11.3 |
| November 2024 | 6.90 thousands | 13.1 |
| October 2024 | 6.80 thousands | 13.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-70712000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-70712000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
