# All Employees: Specialty Trade Contractors — San Antonio-New Braunfels, TX (NSA)

All Employees: Specialty Trade Contractors — San Antonio-New Braunfels, TX (NSA) was up 2.0% year on year in September 2026, compared with 2.2% in August 2026.
The level stood at 41.70 thousands.
Over the past ten years it has ranged from −3.8% (Feb 2021) to 10.4% (Feb 2022), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41700.PAYEMS.M.NSA.IND-20238000`
- Frequency: monthly
- Units: thousands
- Coverage: 2005-01-01 to 2026-09-01 (261 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-specialty-trade-contractors-san-antonio-new-braunfels-tx

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 41.70 thousands | 2.0 |
| August 2026 | 42.10 thousands | 2.2 |
| July 2026 | 41.30 thousands | 0.0 |
| June 2026 | 41.40 thousands | 0.2 |
| May 2026 | 41.00 thousands | 0.0 |
| April 2026 | 40.40 thousands | −1.2 |
| March 2026 | 40.50 thousands | 0.2 |
| February 2026 | 40.60 thousands | 0.7 |
| January 2026 | 40.50 thousands | 1.2 |
| December 2025 | 40.40 thousands | 0.5 |
| November 2025 | 41.00 thousands | 1.2 |
| October 2025 | 41.00 thousands | 1.2 |
| September 2025 | 40.90 thousands | 1.0 |
| August 2025 | 41.20 thousands | 2.0 |
| July 2025 | 41.30 thousands | 3.0 |
| June 2025 | 41.30 thousands | 3.0 |
| May 2025 | 41.00 thousands | 3.5 |
| April 2025 | 40.90 thousands | 4.3 |
| March 2025 | 40.40 thousands | 2.8 |
| February 2025 | 40.30 thousands | 2.5 |
| January 2025 | 40.00 thousands | 2.8 |
| December 2024 | 40.20 thousands | 1.8 |
| November 2024 | 40.50 thousands | 2.8 |
| October 2024 | 40.50 thousands | 3.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41700.PAYEMS.M.NSA.IND-20238000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41700.PAYEMS.M.NSA.IND-20238000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```