# United Kingdom RSI:Internet:Other non-food stores:All Bus:VAL NSA:internet ave weekly sales £m ()

United Kingdom RSI:Internet:Other non-food stores:All Bus:VAL NSA:internet ave weekly sales £m () was up 13.1% year on year in September 2026, compared with 12.2% in August 2026.
The level stood at 333.9 £m.
That is the highest reading since March 2025.
Over the past ten years it has ranged from −23.6% (Mar 2022) to 146.8% (Nov 2020), averaging 19.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.RETSALES.M.NSA.GRP-INTERNET.MEASURE-AWKSPEND.SECTOR-OTHERNONFOOD`
- Frequency: monthly
- Units: £m
- Coverage: 2009-01-01 to 2026-09-01 (213 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/rsi-internet-other-non-food-stores-all-bus-val-nsa-internet-ave-weekly

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 333.9 £m | 13.1 |
| August 2026 | 277.9 £m | 12.2 |
| July 2026 | 281.8 £m | 8.7 |
| June 2026 | 285.4 £m | 7.9 |
| May 2026 | 281.5 £m | 4.2 |
| April 2026 | 282.2 £m | 5.4 |
| March 2026 | 292.0 £m | 7.2 |
| February 2026 | 255.1 £m | 7.4 |
| January 2026 | 256.0 £m | 5.7 |
| December 2025 | 407.4 £m | −5.8 |
| November 2025 | 410.0 £m | 3.0 |
| October 2025 | 331.7 £m | 4.1 |
| September 2025 | 295.1 £m | −1.6 |
| August 2025 | 247.7 £m | −1.4 |
| July 2025 | 259.3 £m | −6.4 |
| June 2025 | 264.5 £m | −3.7 |
| May 2025 | 270.1 £m | 2.7 |
| April 2025 | 267.8 £m | 8.5 |
| March 2025 | 272.5 £m | 22.1 |
| February 2025 | 237.6 £m | 15.0 |
| January 2025 | 242.3 £m | 14.9 |
| December 2024 | 432.5 £m | 27.9 |
| November 2024 | 398.0 £m | 8.9 |
| October 2024 | 318.5 £m | 43.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.RETSALES.M.NSA.GRP-INTERNET.MEASURE-AWKSPEND.SECTOR-OTHERNONFOOD"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.RETSALES.M.NSA.GRP-INTERNET.MEASURE-AWKSPEND.SECTOR-OTHERNONFOOD",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```