Import/export HS code 04089180: Various dried egg yolks
Dried yolks for human consumption or other uses
Why this is important if you are looking for potential customers in the UK:
- It helps you understand the market size for your product in the UK.
- It provides you with a list of potential leads who have bought similar products.
* UK only, last 24 months analysed
Imports by country
What this shows: Import market volume by exporter country into the UK.
Top 5 values
| Country | £ |
|---|---|
| Netherlands | 16,362,553 |
| France | 7,175,184 |
| Poland | 4,492,936 |
| Italy | 4,166,506 |
| Germany | 3,469,745 |
Countries rank shift: first 12 months vs second 12 months
What this shows: Countries are on both sides of the Sankey. Left side is sorted by first 12-month volume, right side by second 12-month volume, so rank changes are visible from line crossings.
Top 10 values
| Country | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| Netherlands | 7,861,482 | 8,501,071 | +639,589 |
| France | 3,771,695 | 3,403,489 | -368,206 |
| Poland | 3,054,203 | 1,438,733 | -1,615,470 |
| Italy | 2,152,037 | 2,014,469 | -137,568 |
| Germany | 2,288,596 | 1,181,149 | -1,107,447 |
| Denmark | 866,955 | 980,943 | +113,988 |
| Austria | 318,049 | 180,162 | -137,887 |
| Belgium | 102,281 | 118,062 | +15,781 |
| Ukraine | 0 | 126,579 | +126,579 |
| United States | 0 | 2,748 | +2,748 |
Imports by country of origin
What this shows: Import volume by production origin country. Differences from exporter-country data can indicate re-export routes.
Top 5 values
| Origin | £ |
|---|---|
| Netherlands | 15,847,432 |
| France | 7,098,815 |
| Poland | 5,155,598 |
| Italy | 4,496,451 |
| Germany | 2,872,003 |
Country of origin rank shift: first 12 months vs second 12 months
What this shows: Origin countries are on both sides of the Sankey. Left side is sorted by first 12-month import value, right side by second 12-month import value, so rank changes are visible from line crossings.
Top 10 values
| Origin | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| Netherlands | 7,476,298 | 8,371,134 | +894,836 |
| France | 3,825,653 | 3,273,162 | -552,491 |
| Poland | 3,359,981 | 1,795,617 | -1,564,364 |
| Italy | 2,355,890 | 2,140,561 | -215,329 |
| Germany | 1,984,664 | 887,339 | -1,097,325 |
| Denmark | 866,955 | 980,943 | +113,988 |
| Greece | 284,721 | 180,162 | -104,559 |
| Lithuania | 207,358 | 0 | -207,358 |
| Ukraine | 0 | 126,579 | +126,579 |
| Belgium | 20,450 | 93,210 | +72,760 |
Importers across UK regions
What this shows: Number of importing companies by UK ITL2 region.
Top 5 values
| UK region | Companies |
|---|---|
| Merseyside | 3 |
| Shropshire and Staffordshire | 3 |
| Derbyshire and Nottinghamshire | 2 |
| Greater Manchester | 2 |
| Inner London - West | 2 |
UK regions rank shift: first 12 months vs second 12 months
What this shows: UK regions are on both sides of the Sankey. Left side is sorted by first 12-month importer count, right side by second 12-month importer count, so rank changes are visible from line crossings.
Top 10 values
| UK region | First 12m | Second 12m | Delta |
|---|---|---|---|
| Merseyside | 2 | 3 | +1 |
| Shropshire and Staffordshire | 2 | 2 | +0 |
| Derbyshire and Nottinghamshire | 1 | 2 | +1 |
| Greater Manchester | 2 | 1 | -1 |
| Inner London - West | 1 | 2 | +1 |
| West Midlands | 1 | 1 | +0 |
| West Yorkshire | 1 | 1 | +0 |
| Bedfordshire and Hertfordshire | 0 | 1 | +1 |
| Berkshire, Buckinghamshire and Oxfordshire | 1 | 1 | +0 |
| Essex | 1 | 1 | +0 |
Import volume by transport
What this shows: Import value by transport mode used to bring goods into the UK.
Top 5 values
| Transport | £ |
|---|---|
| Roll on Roll off (RORO) | 34,278,524 |
| Sea transport (not vehicle on ferry) | 3,769,727 |
| Air transport | 314,452 |
| Other | 321 |
Transport rank shift: first 12 months vs second 12 months
What this shows: Transport modes are on both sides of the Sankey. Left side is sorted by first 12-month import value, right side by second 12-month import value, so rank changes are visible from line crossings.
Top 10 values
| Transport | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| Roll on Roll off (RORO) | 18,258,779 | 16,019,745 | -2,239,034 |
| Sea transport (not vehicle on ferry) | 2,039,651 | 1,730,076 | -309,575 |
| Air transport | 116,868 | 197,584 | +80,716 |
| Other | 0 | 321 | +321 |
Import volume by port
What this shows: Import value handled by each UK port.
Top 5 values
| Port | £ |
|---|---|
| Eurotunnel | 7,167,182 |
| Portsmouth | 6,607,898 |
| Immingham Docks | 5,534,444 |
| Dover | 5,338,385 |
| Harwich | 3,682,136 |
Port rank shift: first 12 months vs second 12 months
What this shows: Ports are on both sides of the Sankey. Left side is sorted by first 12-month import value, right side by second 12-month import value, so rank changes are visible from line crossings.
Top 10 values
| Port | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| Eurotunnel | 3,656,195 | 3,510,987 | -145,208 |
| Portsmouth | 3,454,531 | 3,153,367 | -301,164 |
| Immingham Docks | 1,925,565 | 3,608,879 | +1,683,314 |
| Dover | 3,139,732 | 2,198,653 | -941,079 |
| Harwich | 2,781,141 | 900,995 | -1,880,146 |
| Felixstowe | 1,666,313 | 1,305,032 | -361,281 |
| Purfleet | 1,347,842 | 1,198,765 | -149,077 |
| Killingholme | 1,096,144 | 421,499 | -674,645 |
| London | 914,719 | 486,743 | -427,976 |
| Thamesport | 0 | 625,304 | +625,304 |
Importer companies by SIC division
What this shows: Industry breakdown (SIC divisions) of importing companies.
Top 5 values
| SIC | Companies |
|---|---|
| Wholesale trade, except of motor vehicles and motorcycles | 14 |
| Manufacture of food products | 12 |
| Activities of head offices; management consultancy activities | 1 |
| Financial service activities, except insurance and pension funding | 1 |
| Office administrative, office support and other business support activities | 1 |
Importer companies over time
What this shows: Monthly count of unique importing companies.
Latest 5
| Month | Companies |
|---|---|
| 2025-11 | 11 |
| 2025-10 | 10 |
| 2025-09 | 8 |
| 2025-08 | 7 |
| 2025-07 | 9 |
Top importers
What this shows: Companies with the highest number of months traded for this HS code.
| Company | Months traded |
|---|---|
| LACTOSAN-OVODAN UK LIMITED | 44 |
| UK EGG CENTRE LIMITED | 41 |
| ENGLISH PROVENDER COMPANY LIMITED | 37 |
| KENT FOODS LIMITED | 25 |
| BAKER & BAKER PRODUCTS UK LIMITED | 23 |
| MAYJEX LIMITED | 22 |
| AAK INTERNATIONAL | 21 |
| ROMIX FOODS LIMITED | 19 |
| DAWN FOODS LIMITED | 19 |
| THE DAIRY KOMPANY LTD | 18 |
Importer company size by revenue band
What this shows: Distribution of importers across company revenue bands.
Top 5 values
| Revenue | Companies |
|---|---|
| 54m+ | 10 |
| 1m-15m | 9 |
| Other | 5 |
| 15m-54m | 3 |
| 0-1m | 1 |
Import seasonality
What this shows: Average monthly import pattern from historical data.
Exports by country
What this shows: Export market volume by destination country from the UK.
Top 5 values
| Country | £ |
|---|---|
| Denmark | 319,245 |
| Ireland | 197,106 |
| Netherlands | 5,694 |
| Chile | 3,439 |
| Belgium | 3,136 |
Export countries rank shift: first 12 months vs second 12 months
What this shows: Destination countries are on both sides of the Sankey. Left side is sorted by first 12-month export volume, right side by second 12-month export volume, so rank changes are visible from line crossings.
Top 10 values
| Country | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| Denmark | 148,149 | 171,096 | +22,947 |
| Ireland | 21,548 | 175,558 | +154,010 |
| Netherlands | 3,754 | 1,940 | -1,814 |
| Chile | 0 | 3,439 | +3,439 |
| Belgium | 3,136 | 0 | -3,136 |
| France | 0 | 1,007 | +1,007 |
Exports by country of origin
What this shows: Export volume by production origin country. For re-exports, indicates where goods originated before UK export.
Top 5 values
| Origin | £ |
|---|---|
| XI | 500,422 |
| XU | 1,804 |
Export origin countries rank shift: first 12 months vs second 12 months
What this shows: Origin countries are on both sides of the Sankey. Left side is sorted by first 12-month export value, right side by second 12-month export value, so rank changes are visible from line crossings.
Top 10 values
| Origin | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| XI | 164,624 | 335,798 | +171,174 |
| XU | 916 | 888 | -28 |
Export volume by transport
What this shows: Export value by transport mode used to ship goods from the UK.
Top 5 values
| Transport | £ |
|---|---|
| Other | 502,226 |
| Roll on Roll off (RORO) | 20,208 |
| Road transport | 3,754 |
| Sea transport (not vehicle on ferry) | 3,439 |
Export transport rank shift: first 12 months vs second 12 months
What this shows: Transport modes are on both sides of the Sankey. Left side is sorted by first 12-month export value, right side by second 12-month export value, so rank changes are visible from line crossings.
Top 10 values
| Transport | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| Other | 165,540 | 336,686 | +171,146 |
| Roll on Roll off (RORO) | 7,293 | 12,915 | +5,622 |
| Road transport | 3,754 | 0 | -3,754 |
| Sea transport (not vehicle on ferry) | 0 | 3,439 | +3,439 |
Export volume by port
What this shows: Export value handled by each UK port.
Top 5 values
| Port | £ |
|---|---|
| 000 | 502,226 |
| Immingham Docks | 14,125 |
| ZLC | 3,754 |
| Grangemouth Docks | 3,439 |
| Dover / Eurotunnel | 2,947 |
Export port rank shift: first 12 months vs second 12 months
What this shows: Ports are on both sides of the Sankey. Left side is sorted by first 12-month export value, right side by second 12-month export value, so rank changes are visible from line crossings.
Top 10 values
| Port | First 12m £ | Second 12m £ | Delta £ |
|---|---|---|---|
| 000 | 165,540 | 336,686 | +171,146 |
| Immingham Docks | 4,157 | 9,968 | +5,811 |
| ZLC | 3,754 | 0 | -3,754 |
| Grangemouth Docks | 0 | 3,439 | +3,439 |
| Dover / Eurotunnel | 0 | 2,947 | +2,947 |
| Dover | 1,568 | 0 | -1,568 |
| Eurotunnel | 1,568 | 0 | -1,568 |
Quick facts
HS code: 04089180
Coverage: United Kingdom, most metrics for the last 24 months
Description: Dried yolks for human consumption or other uses