# United Kingdom PPI INDEX INPUT - C1101TC1106 Inputs into production of Alcoholic beverages, including Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - C1101TC1106 Inputs into production of Alcoholic beverages, including Climate Change Levy 2015=100 () was up 2.0% year on year in September 2026, compared with 1.5% in August 2026.
The level stood at 154.8 (index (2015=100)).
That is the highest reading since January 2024.
Over the past ten years it has ranged from −2.3% (Dec 2024) to 20.6% (Dec 2022), averaging 4.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C1101TC1106`
- Frequency: monthly
- Units: index (2015=100)
- Coverage: 2008-12-01 to 2026-09-01 (214 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/ppi-index-input-c1101tc1106-inputs-into-production-of-alcoholic-uk-ppiin-m-nsa-measure-incccl-nace-c1101tc1106

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 154.8 | 2.0 |
| August 2026 | 154.2 | 1.5 |
| July 2026 | 153.5 | 1.3 |
| June 2026 | 153.5 | 1.7 |
| May 2026 | 152.8 | 1.3 |
| April 2026 | 153.5 | 1.5 |
| March 2026 | 152.5 | 1.3 |
| February 2026 | 151.4 | 0.2 |
| January 2026 | 151.4 | 0.6 |
| December 2025 | 151.1 | 0.6 |
| November 2025 | 151.0 | 0.5 |
| October 2025 | 150.9 | 0.7 |
| September 2025 | 151.7 | 0.5 |
| August 2025 | 151.9 | 0.8 |
| July 2025 | 151.5 | 0.5 |
| June 2025 | 150.9 | −0.3 |
| May 2025 | 150.9 | −0.4 |
| April 2025 | 151.3 | −0.3 |
| March 2025 | 150.6 | −0.7 |
| February 2025 | 151.1 | −0.7 |
| January 2025 | 150.5 | −1.6 |
| December 2024 | 150.2 | −2.3 |
| November 2024 | 150.2 | −2.2 |
| October 2024 | 149.9 | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C1101TC1106"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C1101TC1106",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```