# All Employees: Architectural, Engineering, and Related Services — TX (statewide) (NSA)

All Employees: Architectural, Engineering, and Related Services — TX (statewide) (NSA) was up 4.1% year on year in September 2026, compared with 2.7% in August 2026.
The level stood at 206.9 thousands.
Over the past ten years it has ranged from −7.7% (Feb 2021) to 8.5% (Jul 2022), averaging 3.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-60541300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-architectural-engineering-and-related-services-tx

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 206.9 thousands | 4.1 |
| August 2026 | 206.1 thousands | 2.7 |
| July 2026 | 206.5 thousands | 3.1 |
| June 2026 | 205.1 thousands | 2.9 |
| May 2026 | 203.4 thousands | 3.8 |
| April 2026 | 202.3 thousands | 3.7 |
| March 2026 | 198.1 thousands | 2.5 |
| February 2026 | 198.9 thousands | 3.2 |
| January 2026 | 200.5 thousands | 4.3 |
| December 2025 | 201.1 thousands | 4.2 |
| November 2025 | 200.9 thousands | 3.8 |
| October 2025 | 200.3 thousands | 3.7 |
| September 2025 | 198.8 thousands | 3.5 |
| August 2025 | 200.6 thousands | 4.1 |
| July 2025 | 200.2 thousands | 4.5 |
| June 2025 | 199.3 thousands | 4.3 |
| May 2025 | 195.9 thousands | 4.3 |
| April 2025 | 195.0 thousands | 4.2 |
| March 2025 | 193.2 thousands | 3.2 |
| February 2025 | 192.8 thousands | 3.2 |
| January 2025 | 192.2 thousands | 3.8 |
| December 2024 | 193.0 thousands | 3.2 |
| November 2024 | 193.5 thousands | 3.6 |
| October 2024 | 193.2 thousands | 3.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-60541300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-60541300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```