Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

stacykeago/Predict-financial-inclusion-across-the-East-African-region

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
sta
Hôte:
The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes. ### Financial inclusion in East Africa :predict which individuals are most likely to have or use a bank account #### Background to the study: * Financial Inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account. * Traditionally, access to bank accounts has been regarded as an indicator of financial inclusion. Despite the proliferation of mobile money in Africa and the growth of innovative fintech solutions, banks still play a pivotal role in facilitating access to financial services. Access to bank accounts enables households to save and facilitate payments while also helping businesses build up their credit-worthiness and improve their access to other financial services. Therefore, access to bank accounts is an essential contributor to long-term economic growth. #### Define the question * The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes. #### The metric for success ##### Main Objective: * How mobile money transactions can lead to greater financial inclusion for people who don't have access to banks.Greater financial inclusion leads to greater access to credit services, easier tax base to achieve revenues, better access to savings and fintech services. ##### Specific Objectives: * To determine the number of people who have access to mobile phones and don't have access to the banks * To determine the percentage of level of access to mobile phones for people in the region. * To determine the percentage of level of access to mobile phones for people in urban areas and r …

Visit

github.com

Similaires

conyema/predict-financial-inclusion-africaViviankatheu/Financial-Inclusion-of-East-African-CitizensCorrigendum: Fintech, financial inclusion, and sustainable development in the African regionCynthiaKahindi/East-Africa-Financial-InclusionPatTheAtak/East-Africa-Financial-InclusionRenzoTorrecuso/Financial-Inclusion-in-East-Africa

conyema/predict-financial-inclusion-africa

Predict who in Africa is most likely to have a bank account. See Project Demo (UI) # Predict Bank

Viviankatheu/Financial-Inclusion-of-East-African-Citizens

this project aims to predict the likelihood of east african citizens having a bank account. # Finan

Corrigendum: Fintech, financial inclusion, and sustainable development in the African region

CynthiaKahindi/East-Africa-Financial-Inclusion

# East-Africa-Financial-Inclusion # Introduction This project seeks to figure out how bank users c

PatTheAtak/East-Africa-Financial-Inclusion

# East-Africa-Financial-Inclusion #### Financial Inclusion in East Africa Dataset Analysis, 3/5/2020

RenzoTorrecuso/Financial-Inclusion-in-East-Africa

Dear visitor, Thank you for passing by. What does this project search? First I search to extract