# United Kingdom PPI INDEX INPUT - C_FUEL_X_FBTP Inputs into production of Fuels for core manufacturing, excluding Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - C_FUEL_X_FBTP Inputs into production of Fuels for core manufacturing, excluding Climate Change Levy 2015=100 () was up 1.5% year on year in September 2026, compared with 1.5% in August 2026.
The level stood at 250.6 (index (2015=100)).
That is the highest reading since August 2025.
Over the past ten years it has ranged from −13.0% (Apr 2024) to 73.7% (Dec 2022), averaging 11.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-C-FUEL-X-FBTP`
- 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-c-fuel-x-fbtp-inputs-into-production-of-fuels-for-core

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 250.6 | 1.5 |
| August 2026 | 251.0 | 1.5 |
| July 2026 | 246.9 | 1.2 |
| June 2026 | 249.2 | −0.2 |
| May 2026 | 239.4 | −2.1 |
| April 2026 | 248.8 | 0.2 |
| March 2026 | 247.1 | −2.4 |
| February 2026 | 245.7 | −4.5 |
| January 2026 | 246.9 | −4.5 |
| December 2025 | 250.2 | −3.6 |
| November 2025 | 245.8 | −2.9 |
| October 2025 | 241.9 | −3.9 |
| September 2025 | 247.0 | −2.4 |
| August 2025 | 247.4 | 2.3 |
| July 2025 | 243.9 | 0.2 |
| June 2025 | 249.7 | 1.0 |
| May 2025 | 244.5 | 1.5 |
| April 2025 | 248.2 | 1.6 |
| March 2025 | 253.1 | −5.7 |
| February 2025 | 257.2 | −6.2 |
| January 2025 | 258.6 | −7.9 |
| December 2024 | 259.5 | −7.6 |
| November 2024 | 253.2 | −6.8 |
| October 2024 | 251.6 | −5.2 |

## API

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

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