# All Employees: Total Nonfarm — Beaumont-Port Arthur, TX (SA)

All Employees: Total Nonfarm — Beaumont-Port Arthur, TX (SA) was up 1.3% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 171.1 thousands.
That is the highest reading since July 2025.
Over the past ten years it has ranged from −11.8% (Apr 2020) to 6.1% (Oct 2022), averaging 0.5%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-13140.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-beaumont-port-arthur-tx-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 171.1 thousands | 1.3 |
| August 2026 | 171.7 thousands | 1.2 |
| July 2026 | 171.3 thousands | 1.1 |
| June 2026 | 170.8 thousands | 0.8 |
| May 2026 | 170.1 thousands | 0.4 |
| April 2026 | 170.1 thousands | 0.3 |
| March 2026 | 169.8 thousands | 0.2 |
| February 2026 | 169.3 thousands | −0.2 |
| January 2026 | 169.8 thousands | 0.3 |
| December 2025 | 168.9 thousands | −0.4 |
| November 2025 | 168.9 thousands | −0.1 |
| October 2025 | 168.6 thousands | 0.06 |
| September 2025 | 168.9 thousands | 0.2 |
| August 2025 | 169.6 thousands | 1.0 |
| July 2025 | 169.4 thousands | 1.4 |
| June 2025 | 169.5 thousands | 0.8 |
| May 2025 | 169.4 thousands | 0.8 |
| April 2025 | 169.6 thousands | 1.6 |
| March 2025 | 169.5 thousands | 1.4 |
| February 2025 | 169.6 thousands | 1.7 |
| January 2025 | 169.3 thousands | 2.2 |
| December 2024 | 169.6 thousands | 3.7 |
| November 2024 | 169.1 thousands | 3.9 |
| October 2024 | 168.5 thousands | 2.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-13140.PAYEMS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-13140.PAYEMS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```