# United Kingdom PPI INDEX INPUT - C20B Inputs into production of Petrochemicals 20.14/16/17/60, including Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - C20B Inputs into production of Petrochemicals 20.14/16/17/60, including Climate Change Levy 2015=100 () was up 13.9% year on year in September 2026, compared with 12.2% in August 2026.
The level stood at 189.8 (index (2015=100)).
That is the highest reading since January 2023.
Over the past ten years it has ranged from −11.6% (Jul 2023) to 43.7% (Jun 2022), averaging 7.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C20B`
- 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-c20b-inputs-into-production-of-petrochemicals-20-14-16-uk-ppiin-m-nsa-measure-incccl-nace-c20b

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 189.8 | 13.9 |
| August 2026 | 188.3 | 12.2 |
| July 2026 | 187.6 | 10.9 |
| June 2026 | 188.5 | 12.4 |
| May 2026 | 188.8 | 12.5 |
| April 2026 | 184.3 | 9.0 |
| March 2026 | 174.0 | 2.8 |
| February 2026 | 166.7 | −1.7 |
| January 2026 | 165.4 | −2.5 |
| December 2025 | 166.0 | −0.8 |
| November 2025 | 167.0 | 0.2 |
| October 2025 | 166.5 | −0.2 |
| September 2025 | 166.7 | −0.4 |
| August 2025 | 167.8 | −0.9 |
| July 2025 | 169.2 | −0.6 |
| June 2025 | 167.7 | −1.5 |
| May 2025 | 167.8 | −2.1 |
| April 2025 | 169.1 | −1.9 |
| March 2025 | 169.3 | −1.9 |
| February 2025 | 169.6 | −1.5 |
| January 2025 | 169.7 | −0.6 |
| December 2024 | 167.3 | −3.2 |
| November 2024 | 166.7 | −3.9 |
| October 2024 | 166.8 | −4.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C20B"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-C20B",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
