Credit to Agriculture and Fishery — Value Standard Local Currency, 2015 prices 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, 2015 prices is currently reported for 35 countries. The highest value is 1.70 million million SLC in Uganda; the lowest is 0.3048 million SLC in Anguilla.
The median across all reporting countries is 8,443 million SLC, and the mean is 140,443 million SLC.
Over the past decade 20 countries rose and 15 fell. The largest increase was in Côte d'Ivoire (up 1,741.2%), and the largest decrease in Saint Lucia (down 87.7%).
Credit to Agriculture and Fishery — Value Standard Local Currency: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Uganda | 1.70 million million SLC | 2022 | up 152.2% | rising |
| 1 | United Republic of Tanzania | 1.56 million million SLC | 2020 | up 35.8% | rising |
| 1 | Côte d'Ivoire | 118,131 million SLC | 2021 | up 1,741.2% | volatile |
| 2 | Costa Rica | 552,869 million SLC | 2021 | up 20.0% | rising |
| 3 | Sri Lanka | 295,913 million SLC | 2022 | down 17.6% | volatile |
| 4 | Mali | 109,997 million SLC | 2021 | up 131.3% | volatile |
| 5 | Senegal | 90,261 million SLC | 2021 | up 123.0% | rising |
| 6 | Argentina | 79,983 million SLC | 2020 | up 4.0% | rising |
| 7 | Thailand | 70,817 million SLC | 2023 | down 28.4% | falling |
| 8 | Australia | 65,449 million SLC | 2018 | up 6.6% | rising |
| 9 | Czechia | 54,236 million SLC | 2018 | up 56.4% | rising |
| 10 | Benin | 53,223 million SLC | 2021 | up 99.1% | volatile |
| 11 | Burkina Faso | 52,291 million SLC | 2021 | up 104.2% | volatile |
| 12 | Morocco | 34,658 million SLC | 2024 | up 12.5% | rising |
| 13 | Malaysia | 28,964 million SLC | 2023 | down 0.8% | rising |
| 14 | Guyana | 16,775 million SLC | 2021 | up 51.0% | rising |
| 15 | Yemen | 15,875 million SLC | 2014 | up 129.5% | rising |
| 16 | Peru | 8,443 million SLC | 2015 | up 77.9% | rising |
| 17 | Niger | 7,933 million SLC | 2021 | up 177.7% | volatile |
| 18 | Ireland | 3,397 million SLC | 2020 | down 39.4% | falling |
| 19 | Guinea-Bissau | 1,735 million SLC | 2021 | up 127.4% | volatile |
| 20 | Togo | 523.63 million SLC | 2021 | down 68.6% | volatile |
| 21 | Maldives | 443.2 million SLC | 2018 | down 76.5% | volatile |
| 22 | Seychelles | 250.49 million SLC | 2022 | up 202.1% | rising |
| 23 | Gabon | 248.11 million SLC | 2012 | up 102.9% | rising |
| 24 | Suriname | 88.12 million SLC | 2019 | down 21.3% | rising |
| 25 | Grenada | 24.02 million SLC | 2019 | down 17.1% | rising |
| 26 | Bahrain | 14.44 million SLC | 2023 | up 55.6% | rising |
| 27 | Barbados | 9.65 million SLC | 2021 | down 58.5% | volatile |
| 28 | Saint Lucia | 6.79 million SLC | 2019 | down 87.7% | falling |
| 29 | Saint Vincent and the Grenadines | 1.55 million SLC | 2019 | down 52.2% | volatile |
| 30 | Dominica | 1.29 million SLC | 2019 | down 86.3% | volatile |
| 31 | Saint Kitts and Nevis | 1.27 million SLC | 2019 | down 73.5% | volatile |
| 32 | Antigua and Barbuda | 1.01 million SLC | 2019 | down 86.7% | volatile |
| 33 | Anguilla | 0.3048 million SLC | 2019 | down 81.3% | 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.