# United Kingdom PPI INDEX INPUT - B06_B07 Inputs into production of Crude petroleum and natural gas; Me..., including Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - B06_B07 Inputs into production of Crude petroleum and natural gas; Me..., including Climate Change Levy 2015=100 () was up 12.0% year on year in September 2026, compared with 9.1% in August 2026.
The level stood at 164.8 (index (2015=100)).
Over the past ten years it has ranged from −11.0% (Apr 2020) to 27.1% (Jun 2022), averaging 4.8%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-B06-B07`
- 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-b06-b07-inputs-into-production-of-crude-petroleum-and-uk-ppiin-m-nsa-measure-incccl-nace-b06-b07

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 164.8 | 12.0 |
| August 2026 | 160.6 | 9.1 |
| July 2026 | 158.2 | 7.6 |
| June 2026 | 160.6 | 10.4 |
| May 2026 | 169.1 | 16.3 |
| April 2026 | 169.1 | 15.6 |
| March 2026 | 163.0 | 11.3 |
| February 2026 | 148.7 | −0.3 |
| January 2026 | 146.2 | −2.6 |
| December 2025 | 145.4 | −1.2 |
| November 2025 | 147.2 | −0.2 |
| October 2025 | 146.7 | −0.7 |
| September 2025 | 147.1 | −0.5 |
| August 2025 | 147.2 | −1.9 |
| July 2025 | 147.0 | −2.3 |
| June 2025 | 145.5 | −3.5 |
| May 2025 | 145.4 | −3.9 |
| April 2025 | 146.3 | −5.1 |
| March 2025 | 146.5 | −3.2 |
| February 2025 | 149.2 | −1.3 |
| January 2025 | 150.1 | 0.1 |
| December 2024 | 147.2 | −2.3 |
| November 2024 | 147.5 | −3.0 |
| October 2024 | 147.7 | −4.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-B06-B07"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-INCCCL.NACE-B06-B07",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```