# United Kingdom PPI INDEX INPUT - SUB_C17_C18 Inputs into production of Paper and paper products; Print..., excluding Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - SUB_C17_C18 Inputs into production of Paper and paper products; Print..., excluding Climate Change Levy 2015=100 () was up 3.4% year on year in September 2026, compared with 3.2% in August 2026.
The level stood at 150.1 (index (2015=100)).
That is the highest reading since June 2023.
Over the past ten years it has ranged from −3.6% (Apr 2024) to 21.0% (May 2022), averaging 4.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-SUB-C17-C18`
- 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-sub-c17-c18-inputs-into-production-of-paper-and-paper

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 150.1 | 3.4 |
| August 2026 | 150.0 | 3.2 |
| July 2026 | 149.0 | 2.6 |
| June 2026 | 148.8 | 2.7 |
| May 2026 | 147.8 | 2.4 |
| April 2026 | 147.2 | 2.0 |
| March 2026 | 144.8 | 0.6 |
| February 2026 | 144.3 | 0.1 |
| January 2026 | 144.6 | 0.1 |
| December 2025 | 145.0 | 0.07 |
| November 2025 | 145.2 | 0.4 |
| October 2025 | 145.2 | 0.7 |
| September 2025 | 145.2 | 0.8 |
| August 2025 | 145.3 | 1.1 |
| July 2025 | 145.2 | 1.5 |
| June 2025 | 144.9 | 1.5 |
| May 2025 | 144.4 | 1.2 |
| April 2025 | 144.3 | 1.1 |
| March 2025 | 144.0 | 0.5 |
| February 2025 | 144.1 | 0.5 |
| January 2025 | 144.4 | 0.07 |
| December 2024 | 144.9 | 0.07 |
| November 2024 | 144.6 | −0.07 |
| October 2024 | 144.2 | −0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-SUB-C17-C18"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-SUB-C17-C18",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```