# All Employees: Food and Beverage Retailers — Austin-Round Rock-San Marcos, TX (NSA)

All Employees: Food and Beverage Retailers — Austin-Round Rock-San Marcos, TX (NSA) was up 2.5% year on year in September 2026, compared with 2.5% in August 2026.
The level stood at 32.30 thousands.
Over the past ten years it has ranged from −1.2% (Dec 2025) to 13.6% (Jun 2023), averaging 4.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12420.PAYEMS.M.NSA.IND-42445000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-food-and-beverage-retailers-austin-round-rock-san-marcos

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 32.30 thousands | 2.5 |
| August 2026 | 32.30 thousands | 2.5 |
| July 2026 | 32.40 thousands | 2.5 |
| June 2026 | 32.40 thousands | 2.2 |
| May 2026 | 32.30 thousands | 1.3 |
| April 2026 | 32.30 thousands | 1.3 |
| March 2026 | 32.10 thousands | 1.9 |
| February 2026 | 32.20 thousands | 0.9 |
| January 2026 | 32.20 thousands | 0.9 |
| December 2025 | 32.70 thousands | −1.2 |
| November 2025 | 32.10 thousands | 1.9 |
| October 2025 | 31.80 thousands | 3.9 |
| September 2025 | 31.50 thousands | 4.3 |
| August 2025 | 31.50 thousands | 2.6 |
| July 2025 | 31.60 thousands | 3.9 |
| June 2025 | 31.70 thousands | 3.6 |
| May 2025 | 31.90 thousands | 5.3 |
| April 2025 | 31.90 thousands | 5.6 |
| March 2025 | 31.50 thousands | 6.4 |
| February 2025 | 31.90 thousands | 6.0 |
| January 2025 | 31.90 thousands | 4.6 |
| December 2024 | 33.10 thousands | 7.5 |
| November 2024 | 31.50 thousands | 3.3 |
| October 2024 | 30.60 thousands | −0.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12420.PAYEMS.M.NSA.IND-42445000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12420.PAYEMS.M.NSA.IND-42445000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```