# United Kingdom PPI INDEX INPUT - D352_D353 Inputs into production of Manufactured gas; Distribution of..., excluding Climate Change Levy 2015=100 ()

United Kingdom PPI INDEX INPUT - D352_D353 Inputs into production of Manufactured gas; Distribution of..., excluding Climate Change Levy 2015=100 () was up 8.0% year on year in September 2026, compared with 2.9% in August 2026.
The level stood at 257.0 (index (2015=100)).
That is the highest reading since March 2024.
Over the past ten years it has ranged from −17.7% (May 2020) to 82.3% (Apr 2022), averaging 12.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-D352-D353`
- 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-d352-d353-inputs-into-production-of-manufactured-gas

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 257.0 | 8.0 |
| August 2026 | 251.6 | 2.9 |
| July 2026 | 247.2 | 4.5 |
| June 2026 | 249.3 | 4.1 |
| May 2026 | 240.5 | 2.9 |
| April 2026 | 254.0 | 6.7 |
| March 2026 | 245.9 | 1.0 |
| February 2026 | 222.2 | −12.0 |
| January 2026 | 219.1 | −13.1 |
| December 2025 | 222.1 | −10.4 |
| November 2025 | 223.6 | −9.4 |
| October 2025 | 226.0 | −8.6 |
| September 2025 | 238.0 | −3.3 |
| August 2025 | 244.6 | 1.5 |
| July 2025 | 236.5 | −2.9 |
| June 2025 | 239.4 | −2.0 |
| May 2025 | 233.7 | −1.8 |
| April 2025 | 238.0 | −3.5 |
| March 2025 | 243.5 | −8.7 |
| February 2025 | 252.4 | −8.3 |
| January 2025 | 252.1 | −8.2 |
| December 2024 | 247.8 | −10.2 |
| November 2024 | 246.7 | −7.7 |
| October 2024 | 247.4 | −6.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-D352-D353"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.PPIIN.M.NSA.MEASURE-EXCCCL.NACE-D352-D353",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
