Credit flows by fintech and bigtech companies to GDP (%) by country
Countries reporting
94
Highest
4.4%
China
Lowest
0.0%
Canada
Median
0.0%
Years covered
7
2013β2019
Data points
647
What the numbers show
Credit flows by fintech and bigtech companies to GDP (%) is currently reported for 94 countries. The highest value is 4.4% in China; the lowest is 0.0% in Canada.
The median across all reporting countries is 0.0%, and the mean is 0.2%.
Over the past decade 24 countries rose and 5 fell. The largest increase was in Republic of Korea (up 1,468,570.0%), and the largest decrease in Rwanda (down 100.0%).
Credit flows by fintech and bigtech companies to GDP: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 4.4% | 2019 | up 8,625.2% | volatile |
| 2 | Kenya | 2.0% | 2019 | up 2,026.9% | volatile |
| 3 | Ghana | 1.4% | 2019 | up 41,521.3% | volatile |
| 4 | Georgia | 1.1% | 2018 | up 269,206.0% | volatile |
| 5 | Tanzania, United Republic of | 1.0% | 2019 | up 22,746.4% | volatile |
| 6 | Uganda | 0.9% | 2019 | up 8,682.0% | volatile |
| 7 | Republic of Korea | 0.9% | 2019 | up 1,468,570.0% | volatile |
| 8 | Japan | 0.5% | 2019 | up 246.8% | rising |
| 9 | Indonesia | 0.4% | 2019 | up 801,843.0% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 0.4% | 2019 | up 1,111.9% | volatile |
| 11 | United States of America | 0.4% | 2019 | up 1,510.5% | volatile |
| 12 | Mongolia | 0.3% | 2018 | up 2,067.8% | volatile |
| 13 | Singapore | 0.2% | 2019 | β | volatile |
| 14 | Russian Federation | 0.2% | 2019 | β | volatile |
| 15 | Malaysia | 0.1% | 2019 | β | volatile |
| 16 | Cambodia | 0.1% | 2019 | β | volatile |
| 17 | Myanmar | 0.1% | 2019 | β | volatile |
| 18 | Philippines | 0.1% | 2019 | β | volatile |
| 19 | Argentina | 0.1% | 2019 | up 69,873.5% | volatile |
| 20 | Brazil | 0.1% | 2019 | up 288,634.0% | volatile |
| 21 | Thailand | 0.1% | 2019 | β | volatile |
| 22 | Viet Nam | 0.1% | 2019 | β | volatile |
| 23 | France | 0.1% | 2019 | up 2,597.1% | volatile |
| 24 | Pakistan | 0.0% | 2019 | up 7.7% | flat |
| 25 | India | 0.0% | 2019 | up 21,845.5% | volatile |
| 26 | Mexico | 0.0% | 2019 | up 48,351.8% | volatile |
| 27 | Cameroon | 0.0% | 2018 | up 2,892.2% | volatile |
| 28 | Liberia | 0.0% | 2018 | down 19.3% | volatile |
| 29 | Palestine, State of | 0.0% | 2018 | up 63.2% | rising |
| 30 | Zimbabwe | 0.0% | 2018 | up 205.0% | rising |
| 31 | Norway | 0.0% | 2019 | β | volatile |
| 32 | South Africa | 0.0% | 2019 | up 18,202.8% | volatile |
| 33 | Nigeria | 0.0% | 2019 | up 840.7% | volatile |
| 34 | Mozambique | 0.0% | 2019 | up 109.6% | rising |
| 35 | Morocco | 0.0% | 2019 | β | volatile |
| 36 | Egypt | 0.0% | 2019 | β | volatile |
| 37 | Yemen | 0.0% | 2018 | down 95.4% | volatile |
| 38 | Paraguay | 0.0% | 2019 | β | flat |
| 38 | Bangladesh | 0.0% | 2019 | β | volatile |
| 38 | Senegal | 0.0% | 2019 | β | flat |
| 38 | Saudi Arabia | 0.0% | 2019 | β | flat |
| 38 | Rwanda | 0.0% | 2019 | down 100.0% | volatile |
| 38 | Bulgaria | 0.0% | 2019 | β | flat |
| 38 | Spain | 0.0% | 2019 | β | flat |
| 38 | El Salvador | 0.0% | 2019 | β | flat |
| 38 | Portugal | 0.0% | 2019 | β | flat |
| 38 | Poland | 0.0% | 2019 | β | flat |
| 38 | Bahrain | 0.0% | 2018 | β | flat |
| 38 | Peru | 0.0% | 2019 | β | flat |
| 38 | Sierra Leone | 0.0% | 2019 | β | flat |
| 38 | New Zealand | 0.0% | 2019 | β | flat |
| 38 | Slovakia | 0.0% | 2019 | β | flat |
| 38 | Slovenia | 0.0% | 2019 | β | flat |
| 38 | Sweden | 0.0% | 2019 | β | flat |
| 38 | Eswatini | 0.0% | 2019 | β | flat |
| 38 | Togo | 0.0% | 2019 | β | flat |
| 38 | Burkina Faso | 0.0% | 2019 | β | flat |
| 38 | TΓΌrkiye | 0.0% | 2019 | β | flat |
| 38 | Belgium | 0.0% | 2019 | β | flat |
| 38 | Burundi | 0.0% | 2019 | β | flat |
| 38 | Uruguay | 0.0% | 2019 | β | flat |
| 38 | Austria | 0.0% | 2019 | β | flat |
| 38 | Australia | 0.0% | 2019 | β | flat |
| 38 | Zambia | 0.0% | 2019 | down 100.0% | volatile |
| 38 | Estonia | 0.0% | 2019 | β | flat |
| 38 | Lebanon | 0.0% | 2019 | β | flat |
| 38 | Guatemala | 0.0% | 2019 | β | flat |
| 38 | Hong Kong, China | 0.0% | 2019 | β | flat |
| 38 | Ecuador | 0.0% | 2019 | β | flat |
| 38 | Denmark | 0.0% | 2019 | β | flat |
| 38 | Ireland | 0.0% | 2019 | β | flat |
| 38 | Israel | 0.0% | 2019 | β | flat |
| 38 | Italy | 0.0% | 2019 | β | flat |
| 38 | Jordan | 0.0% | 2019 | β | flat |
| 38 | Germany | 0.0% | 2019 | β | flat |
| 38 | Kazakhstan | 0.0% | 2018 | β | flat |
| 38 | Czechia | 0.0% | 2019 | β | flat |
| 38 | Cape Verde | 0.0% | 2018 | β | flat |
| 38 | Colombia | 0.0% | 2019 | β | flat |
| 38 | Lao People's Democratic Republic | 0.0% | 2019 | β | flat |
| 38 | Panama | 0.0% | 2019 | β | flat |
| 38 | United Arab Emirates | 0.0% | 2019 | β | flat |
| 38 | Lithuania | 0.0% | 2019 | β | flat |
| 38 | Latvia | 0.0% | 2019 | β | flat |
| 38 | Madagascar | 0.0% | 2019 | β | flat |
| 38 | Congo, Democratic Republic of the | 0.0% | 2019 | down 100.0% | volatile |
| 38 | Mali | 0.0% | 2019 | β | flat |
| 38 | CΓ΄te d'Ivoire | 0.0% | 2019 | β | volatile |
| 38 | Chile | 0.0% | 2019 | β | flat |
| 38 | Malawi | 0.0% | 2019 | β | flat |
| 38 | Switzerland | 0.0% | 2019 | β | flat |
| 38 | Netherlands | 0.0% | 2019 | β | flat |
| 38 | Finland | 0.0% | 2019 | β | flat |
| 38 | Canada | 0.0% | 2019 | β | flat |