# All Employees: Telecommunications — TX (statewide) (NSA)

All Employees: Telecommunications — TX (statewide) (NSA) was down 7.4% year on year in September 2026, compared with −7.1% in August 2026.
The level stood at 70.90 thousands.
That is the lowest reading since March 2010.
Over the past ten years it has ranged from −7.4% (Sep 2026) to 6.3% (Jul 2022), averaging −1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-50517000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-telecommunications-tx-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 70.90 thousands | −7.4 |
| August 2026 | 72.10 thousands | −7.1 |
| July 2026 | 72.70 thousands | −6.4 |
| June 2026 | 72.50 thousands | −6.6 |
| May 2026 | 72.90 thousands | −4.8 |
| April 2026 | 73.30 thousands | −4.3 |
| March 2026 | 73.50 thousands | −4.2 |
| February 2026 | 73.00 thousands | −5.2 |
| January 2026 | 73.40 thousands | −4.6 |
| December 2025 | 75.50 thousands | −3.0 |
| November 2025 | 75.50 thousands | −3.5 |
| October 2025 | 76.20 thousands | −2.7 |
| September 2025 | 76.60 thousands | −2.4 |
| August 2025 | 77.60 thousands | −1.3 |
| July 2025 | 77.70 thousands | −1.6 |
| June 2025 | 77.60 thousands | −1.9 |
| May 2025 | 76.60 thousands | −2.0 |
| April 2025 | 76.60 thousands | −2.4 |
| March 2025 | 76.70 thousands | −2.9 |
| February 2025 | 77.00 thousands | −2.5 |
| January 2025 | 76.90 thousands | −2.7 |
| December 2024 | 77.80 thousands | −1.9 |
| November 2024 | 78.20 thousands | −1.4 |
| October 2024 | 78.30 thousands | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-50517000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-50517000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```