# United Kingdom PPI INDEX INPUT - C203 Inputs into production of Paints, varnishes and similar coatings..., including Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - C203 Inputs into production of Paints, varnishes and similar coatings..., including Climate Change Levy 2015=100 () was up 6.6% year on year in September 2026, compared with 6.2% in August 2026.
The level stood at 167.2 (index (2015=100)).
That is the highest reading since March 2023.
Over the past ten years it has ranged from −5.7% (Nov 2023) to 25.2% (Jun 2022), averaging 5.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C203`
- Frequency: monthly
- Units: index (2015=100)
- Coverage: 1996-01-01 to 2026-09-01 (369 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/ppi-index-input-c203-inputs-into-production-of-paints-varnishes-and-uk-ppiin-m-nsa-measure-incccl-nace-c203

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 167.2 | 6.6 |
| August 2026 | 167.4 | 6.2 |
| July 2026 | 168.0 | 5.8 |
| June 2026 | 167.9 | 6.2 |
| May 2026 | 166.5 | 5.3 |
| April 2026 | 163.1 | 2.9 |
| March 2026 | 158.3 | 0.06 |
| February 2026 | 157.4 | 0.2 |
| January 2026 | 156.5 | −0.3 |
| December 2025 | 156.6 | 0.5 |
| November 2025 | 156.8 | 0.9 |
| October 2025 | 156.9 | 0.8 |
| September 2025 | 156.8 | 0.6 |
| August 2025 | 157.6 | 0.6 |
| July 2025 | 158.8 | 1.6 |
| June 2025 | 158.1 | 1.3 |
| May 2025 | 158.1 | 1.2 |
| April 2025 | 158.5 | 1.5 |
| March 2025 | 158.2 | 1.1 |
| February 2025 | 157.1 | 1.0 |
| January 2025 | 156.9 | 0.4 |
| December 2024 | 155.8 | −0.8 |
| November 2024 | 155.4 | −1.1 |
| October 2024 | 155.6 | −1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C203"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C203",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```