Import/export HS code 071335: Dried cowpeas
Dried cowpeas (Vigna unguiculata), commonly used in soups, stews, and traditional dishes
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 | £ |
|---|---|
| Myanmar | 2,107,308 |
| Argentina | 924,871 |
| Peru | 553,591 |
| India | 359,073 |
| Turkey | 285,607 |
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 £ |
|---|---|---|---|
| Myanmar | 1,105,735 | 1,001,573 | -104,162 |
| Argentina | 482,025 | 442,846 | -39,179 |
| Peru | 56,278 | 497,313 | +441,035 |
| India | 266,726 | 92,347 | -174,379 |
| Turkey | 250,497 | 35,110 | -215,387 |
| South Africa | 123,481 | 143,671 | +20,190 |
| Singapore | 66,614 | 163,277 | +96,663 |
| United Arab Emirates | 109,805 | 73,743 | -36,062 |
| Madagascar | 106,785 | 57,693 | -49,092 |
| Benin | 0 | 159,394 | +159,394 |
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 | £ |
|---|---|
| Myanmar | 1,708,829 |
| Argentina | 848,452 |
| Peru | 586,627 |
| Singapore | 479,052 |
| India | 418,354 |
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 £ |
|---|---|---|---|
| Myanmar | 627,161 | 1,081,668 | +454,507 |
| Argentina | 402,862 | 445,590 | +42,728 |
| Peru | 89,314 | 497,313 | +407,999 |
| Singapore | 395,321 | 83,731 | -311,590 |
| India | 316,881 | 101,473 | -215,408 |
| Benin | 0 | 302,686 | +302,686 |
| South Africa | 123,481 | 143,671 | +20,190 |
| Madagascar | 115,512 | 116,102 | +590 |
| Mauritius | 128,056 | 20,327 | -107,729 |
| Turkey | 117,967 | 12,181 | -105,786 |
Importers across UK regions
What this shows: Number of importing companies by UK ITL2 region.
Top 5 values
| UK region | Companies |
|---|---|
| Outer London - East and North East | 7 |
| Outer London - West and North West | 7 |
| West Midlands | 5 |
| Berkshire, Buckinghamshire and Oxfordshire | 3 |
| Inner London - East | 3 |
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 |
|---|---|---|---|
| Outer London - East and North East | 5 | 5 | +0 |
| Outer London - West and North West | 4 | 6 | +2 |
| West Midlands | 3 | 5 | +2 |
| Berkshire, Buckinghamshire and Oxfordshire | 3 | 3 | +0 |
| Inner London - East | 2 | 3 | +1 |
| Leicestershire, Rutland and Northamptonshire | 2 | 3 | +1 |
| Inner London - West | 1 | 1 | +0 |
| Outer London - South | 0 | 2 | +2 |
| West Yorkshire | 1 | 2 | +1 |
| Bedfordshire and Hertfordshire | 0 | 1 | +1 |
Import volume by transport
What this shows: Import value by transport mode used to bring goods into the UK.
Top 5 values
| Transport | £ |
|---|---|
| Sea transport (not vehicle on ferry) | 4,274,938 |
| Roll on Roll off (RORO) | 1,380,570 |
| Air transport | 4,695 |
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 £ |
|---|---|---|---|
| Sea transport (not vehicle on ferry) | 1,681,852 | 2,593,086 | +911,234 |
| Roll on Roll off (RORO) | 968,866 | 411,704 | -557,162 |
| Air transport | 0 | 4,695 | +4,695 |
Import volume by port
What this shows: Import value handled by each UK port.
Top 5 values
| Port | £ |
|---|---|
| Felixstowe | 2,845,843 |
| London Gateway Port | 1,772,678 |
| Southampton | 611,037 |
| London | 400,964 |
| Dover / Eurotunnel | 16,471 |
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 £ |
|---|---|---|---|
| Felixstowe | 1,616,606 | 1,229,237 | -387,369 |
| London Gateway Port | 582,269 | 1,190,409 | +608,140 |
| Southampton | 134,318 | 476,719 | +342,401 |
| London | 308,913 | 92,051 | -216,862 |
| Dover / Eurotunnel | 4,846 | 11,625 | +6,779 |
| London Heathrow Airport | 0 | 4,695 | +4,695 |
| Liverpool Docks | 1,294 | 2,744 | +1,450 |
| Belfast Port | 0 | 2,005 | +2,005 |
| Immingham Docks | 1,304 | 0 | -1,304 |
| Grangemouth Docks | 1,168 | 0 | -1,168 |
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 | 32 |
| Retail trade, except of motor vehicles and motorcycles | 9 |
| Manufacture of food products | 5 |
| Food and beverage service activities | 4 |
| Computer programming, consultancy and related activities | 1 |
Importer companies over time
What this shows: Monthly count of unique importing companies.
Latest 5
| Month | Companies |
|---|---|
| 2026-01 | 10 |
| 2025-11 | 8 |
| 2025-10 | 8 |
| 2025-09 | 7 |
| 2025-08 | 6 |
Top importers
What this shows: Companies with the highest number of months traded for this HS code.
| Company | Months traded |
|---|---|
| A. POORTMAN (LONDON) LIMITED | 77 |
| WANIS LIMITED | 32 |
| VELJI BHOVAN & SONS (TRADING) LIMITED | 30 |
| S.P.L. FOODS LIMITED | 20 |
| FLYING TRADE LIMITED | 17 |
| HARAN FOODS UK LIMITED | 16 |
| NATCO FOODS LIMITED | 13 |
| AIB FOODS LIMITED | 11 |
| VAMARA UK LTD | 11 |
| FOOD MILL LTD | 10 |
Importer company size by revenue band
What this shows: Distribution of importers across company revenue bands.
Top 5 values
| Revenue | Companies |
|---|---|
| 1m-15m | 16 |
| 0-1m | 9 |
| 54m+ | 9 |
| 15m-54m | 5 |
| Other | 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 | £ |
|---|---|
| Netherlands | 1,026,254 |
| Ireland | 69,209 |
| Germany | 10,441 |
| France | 7,598 |
| Switzerland | 4,983 |
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 £ |
|---|---|---|---|
| Netherlands | 666,953 | 359,301 | -307,652 |
| Ireland | 41,962 | 27,247 | -14,715 |
| Germany | 7,369 | 3,072 | -4,297 |
| France | 5,825 | 1,773 | -4,052 |
| Switzerland | 0 | 4,983 | +4,983 |
| Belgium | 2,837 | 0 | -2,837 |
| Norway | 1,643 | 0 | -1,643 |
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 | 1,608 |
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 | 1,188 | 420 | -768 |
Export volume by transport
What this shows: Export value by transport mode used to ship goods from the UK.
Top 5 values
| Transport | £ |
|---|---|
| Roll on Roll off (RORO) | 1,076,308 |
| Sea transport (not vehicle on ferry) | 45,049 |
| Other | 1,608 |
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 £ |
|---|---|---|---|
| Roll on Roll off (RORO) | 705,990 | 370,318 | -335,672 |
| Sea transport (not vehicle on ferry) | 19,411 | 25,638 | +6,227 |
| Other | 1,188 | 420 | -768 |
Export volume by port
What this shows: Export value handled by each UK port.
Top 5 values
| Port | £ |
|---|---|
| Felixstowe | 800,450 |
| Harwich | 136,227 |
| Dover / Eurotunnel | 76,529 |
| Holyhead | 44,882 |
| Immingham Docks | 32,718 |
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 £ |
|---|---|---|---|
| Felixstowe | 483,619 | 316,831 | -166,788 |
| Harwich | 119,358 | 16,869 | -102,489 |
| Dover / Eurotunnel | 51,501 | 25,028 | -26,473 |
| Holyhead | 19,141 | 25,741 | +6,600 |
| Immingham Docks | 22,317 | 10,401 | -11,916 |
| Liverpool Docks | 12,178 | 0 | -12,178 |
| London | 7,832 | 0 | -7,832 |
| Heysham | 4,505 | 1,086 | -3,419 |
| Milford | 4,950 | 0 | -4,950 |
| 000 | 1,188 | 420 | -768 |
Quick facts
HS code: 071335
Coverage: United Kingdom, most metrics for the last 24 months
Description: Dried cowpeas (Vigna unguiculata), commonly used in soups, stews, and traditional dishes