# All Employees: Telecommunications — Austin-Round Rock-San Marcos, TX (NSA)

All Employees: Telecommunications — Austin-Round Rock-San Marcos, TX (NSA) was down 7.5% year on year in September 2026, compared with −8.7% in August 2026.
The level stood at 6.20 thousands.
Over the past ten years it has ranged from −16.0% (Mar 2025) to 8.3% (May 2020), averaging −2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12420.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-austin-round-rock-san-marcos-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 6.20 thousands | −7.5 |
| August 2026 | 6.30 thousands | −8.7 |
| July 2026 | 6.40 thousands | −7.2 |
| June 2026 | 6.40 thousands | −7.2 |
| May 2026 | 6.40 thousands | −5.9 |
| April 2026 | 6.40 thousands | −5.9 |
| March 2026 | 6.50 thousands | −4.4 |
| February 2026 | 6.50 thousands | −5.8 |
| January 2026 | 6.50 thousands | −7.1 |
| December 2025 | 6.70 thousands | −4.3 |
| November 2025 | 6.70 thousands | −5.6 |
| October 2025 | 6.70 thousands | −6.9 |
| September 2025 | 6.70 thousands | −11.8 |
| August 2025 | 6.90 thousands | −8.0 |
| July 2025 | 6.90 thousands | −10.4 |
| June 2025 | 6.90 thousands | −12.7 |
| May 2025 | 6.80 thousands | −12.8 |
| April 2025 | 6.80 thousands | −13.9 |
| March 2025 | 6.80 thousands | −16.0 |
| February 2025 | 6.90 thousands | −14.8 |
| January 2025 | 7.00 thousands | −13.6 |
| December 2024 | 7.00 thousands | −14.6 |
| November 2024 | 7.10 thousands | −13.4 |
| October 2024 | 7.20 thousands | −13.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12420.PAYEMS.M.NSA.IND-50517000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12420.PAYEMS.M.NSA.IND-50517000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```