# All Employees: Trade, Transportation, and Utilities — Oakland-Fremont-Berkeley, CA Metropolitan Division (NSA)

All Employees: Trade, Transportation, and Utilities — Oakland-Fremont-Berkeley, CA Metropolitan Division (NSA) was up 1.1% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 192.3 thousands.
That is the highest reading since January 2023.
Over the past ten years it has ranged from −15.5% (Apr 2020) to 13.2% (Apr 2021), averaging −0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-36084.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-oakland-fremont

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 192.3 thousands | 1.1 |
| August 2026 | 192.4 thousands | 0.8 |
| July 2026 | 192.3 thousands | 0.5 |
| June 2026 | 190.7 thousands | 0.2 |
| May 2026 | 191.3 thousands | 0.5 |
| April 2026 | 190.4 thousands | −0.2 |
| March 2026 | 190.4 thousands | −0.5 |
| February 2026 | 191.3 thousands | −0.5 |
| January 2026 | 193.7 thousands | −0.7 |
| December 2025 | 201.6 thousands | −0.1 |
| November 2025 | 198.1 thousands | −0.7 |
| October 2025 | 193.1 thousands | −1.0 |
| September 2025 | 190.3 thousands | −1.6 |
| August 2025 | 190.9 thousands | −1.7 |
| July 2025 | 191.4 thousands | −1.4 |
| June 2025 | 190.3 thousands | −1.4 |
| May 2025 | 190.4 thousands | −1.9 |
| April 2025 | 190.7 thousands | −1.8 |
| March 2025 | 191.4 thousands | −1.6 |
| February 2025 | 192.2 thousands | −1.4 |
| January 2025 | 195.1 thousands | −1.6 |
| December 2024 | 201.9 thousands | −1.8 |
| November 2024 | 199.5 thousands | −1.7 |
| October 2024 | 195.1 thousands | −1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-36084.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-36084.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```