Credit to Agriculture and Fishery — Value Standard Local Currency 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...
What the numbers show
Credit to Agriculture and Fishery — Value Standard Local Currency is currently reported for 35 countries. The highest value is 2.24 million million SLC in Uganda; the lowest is 0.337 million SLC in Anguilla.
The median across all reporting countries is 8,656 million SLC, and the mean is 183,593 million SLC.
Over the past decade 23 countries rose and 12 fell. The largest increase was in Côte d'Ivoire (up 2,144.1%), and the largest decrease in Antigua and Barbuda (down 85.3%).
Credit to Agriculture and Fishery — Value Standard Local Currency: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Uganda | 2.24 million million SLC | 2022 | up 267.3% | rising |
| 1 | United Republic of Tanzania | 1.76 million million SLC | 2020 | up 138.1% | rising |
| 1 | Côte d'Ivoire | 126,779 million SLC | 2021 | up 2,144.1% | volatile |
| 2 | Costa Rica | 626,970 million SLC | 2021 | up 64.5% | volatile |
| 3 | Sri Lanka | 585,532 million SLC | 2022 | up 82.0% | volatile |
| 4 | Argentina | 422,193 million SLC | 2020 | up 1,728.3% | volatile |
| 5 | Mali | 110,505 million SLC | 2021 | up 113.2% | volatile |
| 6 | Senegal | 95,647 million SLC | 2021 | up 145.8% | volatile |
| 7 | Thailand | 80,834 million SLC | 2023 | down 16.5% | falling |
| 8 | Australia | 71,505 million SLC | 2018 | up 27.4% | rising |
| 9 | Burkina Faso | 58,920 million SLC | 2021 | up 131.6% | volatile |
| 10 | Czechia | 57,547 million SLC | 2018 | up 75.8% | rising |
| 11 | Benin | 55,966 million SLC | 2021 | up 130.0% | volatile |
| 12 | Morocco | 40,900 million SLC | 2024 | up 37.0% | rising |
| 13 | Malaysia | 33,700 million SLC | 2023 | up 19.7% | rising |
| 14 | Guyana | 15,598 million SLC | 2021 | up 47.5% | rising |
| 15 | Yemen | 12,650 million SLC | 2014 | up 478.6% | volatile |
| 16 | Niger | 8,656 million SLC | 2021 | up 221.5% | volatile |
| 17 | Peru | 8,443 million SLC | 2015 | up 120.4% | rising |
| 18 | Ireland | 3,533 million SLC | 2020 | down 27.2% | falling |
| 19 | Guinea-Bissau | 1,866 million SLC | 2021 | up 168.9% | volatile |
| 20 | Togo | 550 million SLC | 2021 | down 65.0% | volatile |
| 21 | Maldives | 468.59 million SLC | 2018 | down 58.4% | volatile |
| 22 | Gabon | 292.8 million SLC | 2012 | up 277.1% | rising |
| 23 | Seychelles | 286 million SLC | 2022 | up 263.4% | volatile |
| 24 | Suriname | 155.7 million SLC | 2019 | up 87.6% | rising |
| 25 | Grenada | 25.68 million SLC | 2019 | down 1.1% | rising |
| 26 | Bahrain | 17.49 million SLC | 2023 | up 68.2% | rising |
| 27 | Barbados | 11.21 million SLC | 2021 | down 51.3% | volatile |
| 28 | Saint Lucia | 7.21 million SLC | 2019 | down 83.8% | falling |
| 29 | Saint Vincent and the Grenadines | 1.64 million SLC | 2019 | down 45.8% | volatile |
| 30 | Dominica | 1.39 million SLC | 2019 | down 83.7% | falling |
| 31 | Saint Kitts and Nevis | 1.35 million SLC | 2019 | down 70.0% | volatile |
| 32 | Antigua and Barbuda | 1.03 million SLC | 2019 | down 85.3% | volatile |
| 33 | Anguilla | 0.337 million SLC | 2019 | down 76.4% | volatile |
About this data
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.