# United Kingdom Trade in Goods: Dyeing, tanning & colouring materials (53): EU: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Dyeing, tanning & colouring materials (53): EU: Imports: BOP: CVM: SA () was up 3.8% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 110.0 £m.
That is the highest reading since July 2025.
Over the past ten years it has ranged from −30.4% (Mar 2020) to 44.4% (May 2021), averaging −0.7%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SIPL.MEASURE-CVM.PARTNER-EU`
- Frequency: monthly
- Units: £m
- Coverage: 1997-01-01 to 2026-09-01 (357 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/trade-in-goods-dyeing-tanning-and-colouring-materials-53-eu-imports-bop

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 110.0 £m | 3.8 |
| August 2026 | 111.0 £m | 0.9 |
| July 2026 | 106.0 £m | −2.8 |
| June 2026 | 106.0 £m | 1.0 |
| May 2026 | 108.0 £m | −8.5 |
| April 2026 | 109.0 £m | 1.9 |
| March 2026 | 109.0 £m | −1.8 |
| February 2026 | 108.0 £m | −1.8 |
| January 2026 | 105.0 £m | 1.9 |
| December 2025 | 103.0 £m | −3.7 |
| November 2025 | 107.0 £m | −3.6 |
| October 2025 | 104.0 £m | −8.8 |
| September 2025 | 106.0 £m | −2.8 |
| August 2025 | 110.0 £m | −0.9 |
| July 2025 | 109.0 £m | 7.9 |
| June 2025 | 105.0 £m | −13.9 |
| May 2025 | 118.0 £m | 7.3 |
| April 2025 | 107.0 £m | −5.3 |
| March 2025 | 111.0 £m | 1.8 |
| February 2025 | 110.0 £m | −0.9 |
| January 2025 | 103.0 £m | −3.7 |
| December 2024 | 107.0 £m | −7.8 |
| November 2024 | 111.0 £m | 0.0 |
| October 2024 | 114.0 £m | 2.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SIPL.MEASURE-CVM.PARTNER-EU"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SIPL.MEASURE-CVM.PARTNER-EU",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```