# All Employees: Insurance Carriers and Related Activities — TX (statewide) (NSA)

All Employees: Insurance Carriers and Related Activities — TX (statewide) (NSA) was down 1.3% year on year in September 2026, compared with −1.7% in August 2026.
The level stood at 289.4 thousands.
Over the past ten years it has ranged from −1.9% (Jul 2026) to 9.9% (Feb 2022), averaging 3.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-55524000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-insurance-carriers-and-related-activities-tx-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 289.4 thousands | −1.3 |
| August 2026 | 288.4 thousands | −1.7 |
| July 2026 | 287.9 thousands | −1.9 |
| June 2026 | 289.1 thousands | −1.0 |
| May 2026 | 288.1 thousands | −1.3 |
| April 2026 | 288.4 thousands | −1.4 |
| March 2026 | 289.4 thousands | −0.6 |
| February 2026 | 287.9 thousands | −1.3 |
| January 2026 | 289.8 thousands | −0.3 |
| December 2025 | 293.5 thousands | 0.03 |
| November 2025 | 294.9 thousands | 0.2 |
| October 2025 | 294.3 thousands | 0.1 |
| September 2025 | 293.3 thousands | 0.9 |
| August 2025 | 293.3 thousands | 1.2 |
| July 2025 | 293.6 thousands | 1.3 |
| June 2025 | 291.9 thousands | 1.2 |
| May 2025 | 291.9 thousands | 2.2 |
| April 2025 | 292.4 thousands | 2.7 |
| March 2025 | 291.2 thousands | 2.6 |
| February 2025 | 291.8 thousands | 2.9 |
| January 2025 | 290.8 thousands | 2.6 |
| December 2024 | 293.4 thousands | 2.4 |
| November 2024 | 294.4 thousands | 2.5 |
| October 2024 | 294.0 thousands | 2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-55524000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-55524000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```