Credit to Fishery — Value US$ by country

Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics...

Countries reporting
41
Highest
1,432 million USD
Japan
Lowest
0.0036 million USD
Togo
Median
4.33 million USD
Years covered
34
1991–2024
Data points
933

What the numbers show

Credit to Fishery — Value US$ is currently reported for 41 countries. The highest value is 1,432 million USD in Japan; the lowest is 0.0036 million USD in Togo.

The median across all reporting countries is 4.33 million USD, and the mean is 119.27 million USD.

Over the past decade 20 countries rose and 21 fell. The largest increase was in Burkina Faso (up 2,892.0%), and the largest decrease in Papua New Guinea (down 97.4%).

Credit to Fishery — Value US$: full country ranking

#Country LatestYear 10-year changeTrend
1 Japan 1,432 million USD 2024 down 21.5% falling
2 Canada 1,361 million USD 2024 up 272.2% volatile
3 United Kingdom of Great Britain and Northern Ireland 457.4 million USD 2023 up 26.1% falling
4 Peru 404.78 million USD 2015 down 0.2% rising
5 Philippines 289.71 million USD 2013 up 105.0% rising
6 Thailand 210.8 million USD 2024 down 43.4% volatile
7 Ireland 159.11 million USD 2024 down 49.3% falling
8 Nepal 124.28 million USD 2024 up 341.4% volatile
9 Malaysia 114.87 million USD 2024 down 10.9% falling
10 Sri Lanka 87.85 million USD 2022 up 7.9% rising
11 Angola 46.7 million USD 2019 down 70.4% volatile
12 Ecuador 34.9 million USD 2014 up 231.7% rising
13 Argentina 32.3 million USD 2024 down 46.0% falling
14 Maldives 31.35 million USD 2024 up 20.6% volatile
15 Guyana 24.85 million USD 2024 up 370.6% volatile
16 Senegal 19.43 million USD 2021 down 32.4% falling
17 Costa Rica 14.59 million USD 2024 up 326.0% volatile
18 Seychelles 12.23 million USD 2023 up 509.6% volatile
19 Czechia 11.44 million USD 2018 up 4.9% falling
20 Pakistan 6.88 million USD 2024 down 40.0% volatile
21 Albania 4.33 million USD 2015 up 15.7% flat
22 Uganda 3.08 million USD 2024 down 53.0% volatile
23 Ukraine 1.18 million USD 2023 down 97.4% volatile
24 Mali 1.05 million USD 2021 up 35.3% volatile
25 Saint Vincent and the Grenadines 0.7519 million USD 2024 up 138.8% volatile
26 Grenada 0.5926 million USD 2024 down 45.4% falling
27 Gambia 0.5173 million USD 2024 up 1,441.9% volatile
28 Burkina Faso 0.5079 million USD 2021 up 2,892.0% volatile
29 Benin 0.2632 million USD 2021 up 42.6% volatile
30 Suriname 0.2351 million USD 2024 down 95.8% volatile
31 Guinea-Bissau 0.186 million USD 2021 up 995.7% volatile
32 Papua New Guinea 0.1561 million USD 2024 down 97.4% volatile
33 Barbados 0.1289 million USD 2021 down 42.6% volatile
34 Dominica 0.1037 million USD 2024 up 93.1% volatile
35 Vanuatu 0.0503 million USD 2024 down 49.6% volatile
36 Antigua and Barbuda 0.0333 million USD 2024 down 83.1% volatile
37 Saint Lucia 0.0296 million USD 2024 down 97.4% volatile
38 Gabon 0.0166 million USD 2012 up 94.4% rising
39 Saint Kitts and Nevis 0.0148 million USD 2024 down 75.5% volatile
40 Niger 0.0108 million USD 2021 down 21.1% volatile
41 Togo 0.0036 million USD 2021 down 96.4% volatile

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Credit to Fishery — Value US$ by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/stat/credit-to-fishery-value-us/

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About this data

Indicator
Credit to Fishery — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
45 places, 933 data points, 1991–2024
Last refreshed

Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.