# United Kingdom RSI:Internet: Val SA:Total Non-Food ex fuel: Average Weekly Sales £million ()

United Kingdom RSI:Internet: Val SA:Total Non-Food ex fuel: Average Weekly Sales £million () was up 3.6% year on year in September 2026, compared with 4.6% in August 2026.
The level stood at 1,043.4 £m.
That is the lowest reading since September 2025.
Over the past ten years it has ranged from −25.7% (Mar 2022) to 109.0% (Feb 2021), averaging 13.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.RETSALES.M.SA.GRP-INTERNET.MEASURE-AWKSPEND.SECTOR-NONFOOD`
- Frequency: monthly
- Units: £m
- Coverage: 2008-01-01 to 2026-09-01 (225 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/rsi-internet-val-sa-total-non-food-ex-fuel-average-weekly-sales-million

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,043.4 £m | 3.6 |
| August 2026 | 1,030.5 £m | 4.6 |
| July 2026 | 1,012.6 £m | 4.6 |
| June 2026 | 1,038.9 £m | 10.4 |
| May 2026 | 1,033.8 £m | 10.7 |
| April 2026 | 1,005.4 £m | 3.6 |
| March 2026 | 1,044.1 £m | 9.7 |
| February 2026 | 998.0 £m | 7.0 |
| January 2026 | 976.9 £m | 7.4 |
| December 2025 | 991.6 £m | 5.2 |
| November 2025 | 1,010.3 £m | 6.6 |
| October 2025 | 1,009.2 £m | 5.3 |
| September 2025 | 1,007.1 £m | 3.3 |
| August 2025 | 985.0 £m | 4.2 |
| July 2025 | 967.7 £m | 2.6 |
| June 2025 | 940.8 £m | 1.2 |
| May 2025 | 933.8 £m | −1.1 |
| April 2025 | 970.2 £m | 7.8 |
| March 2025 | 951.6 £m | 10.0 |
| February 2025 | 932.4 £m | 6.4 |
| January 2025 | 909.8 £m | 4.3 |
| December 2024 | 942.3 £m | 6.7 |
| November 2024 | 947.7 £m | 2.4 |
| October 2024 | 958.0 £m | 9.8 |

## API

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

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