NA
ATMs per 100,000 adults
Branches per 100,000 adults
Deposit accounts per 1,000 adults
Insurance policy holders per 1,000 adults (life)
Insurance policy holders per 1,000 adults (non-life)
Registered mobile money agents per 100,000 adults
Outstanding loans with commercial banks
SME deposit accounts (as a % of non-financial corporation borrowers)
SME loan accounts (as a % of non-financial corporation borrowers)
Debit cards per 1,000 adults
Number of active mobile money accounts
Mobile money transactions per 1,000 adults
Value of mobile money transactions (% of GDP)
Account (% age 15+)
Account, female (% age 15+)
Account, male (% age 15+)
Account, young (% ages 15-24)
Account, older (% age 25+)
Account, primary education or less (% age 15+)
Account, secondary education or more (% age 15+)
Account, income, poorest 40% (% age 15+)
Account, income, richest 60% (% age 15+)
Account, rural (% age 15+)
Account, urban (% age 15+)
Account, out of labor force (% age 15+)
Account, in labor force (% age 15+)
Borrowed from a formal financial institution (% age 15+)
Borrowed from a formal financial institution, female (% age 15+)
Borrowed from a formal financial institution, male (% age 15+)
Borrowed from a formal financial institution, young (% ages 15-24)
Borrowed from a formal financial institution, older (% age 25+)
Borrowed from a formal financial institution, primary education or less (% age 15+)
Borrowed from a formal financial institution, secondary education or more (% age 15+)
Borrowed from a formal financial institution, income, poorest 40% (% age 15+)
Borrowed from a formal financial institution, income, richest 60% (% age 15+)
Borrowed from a formal financial institution, rural (% age 15+)
Borrowed from a formal financial institution, urban (% age 15+)
Borrowed from a formal financial institution, out of labor force (% age 15+)
Borrowed from a formal financial institution, in labor force (% age 15+)
Made or received digital payments (% age 15+)
Made or received digital payments, female (% age 15+)
Made or received digital payments, male (% age 15+)
Made or received digital payments, young (% ages 15-24)
Made or received digital payments, older (% age 25+)
Made or received digital payments, primary education or less (% age 15+)
Made or received digital payments, secondary education or more (% age 15+)
Made or received digital payments, income, poorest 40% (% age 15+)
Made or received digital payments, income, richest 60% (% age 15+)
Made or received digital payments, rural (% age 15+)
Made or received digital payments, urban (% age 15+)
Made or received digital payments, in labor force (% age 15+)
Made or received digital payments, out of labor force (% age 15+)
Made a digital payment (% age 15+)
Made a digital payment, female (% age 15+)
Made a digital payment, male (% age 15+)
Made a digital payment, young (% ages 15-24)
Made a digital payment, older (% age 25+)
Made a digital payment, primary education or less (% age 15+)
Made a digital payment, secondary education or more (% age 15+)
Made a digital payment, income, poorest 40% (% age 15+)
Made a digital payment, income, richest 60% (% age 15+)
Made a digital payment, rural (% age 15+)
Made a digital payment, urban (% age 15+)
Made a digital payment, out of labor force (% age 15+)
Made a digital payment, in labor force (% age 15+)
Received a digital payment (% age 15+)
Received a digital payment, female (% age 15+)
Received a digital payment, male (% age 15+)
Received a digital payment, young (% ages 15-24)
Received a digital payment, older (% age 25+)
Received a digital payment, primary education or less (% age 15+)
Received a digital payment, secondary education or more (% age 15+)
Received a digital payment, income, poorest 40% (% age 15+)
Received a digital payment, income, richest 60% (% age 15+)
Received a digital payment, rural (% age 15+)
Received a digital payment, urban (% age 15+)
Received a digital payment, out of labor force (% age 15+)
Received a digital payment, in labor force (% age 15+)
Received  government payment (transfers, pension, or wages) into an account (% age 15+)
Received private wage into an account (% age 15+)
Used a mobile phone or the internet to check account balance at a bank or similar financial institution (% age 15+)
Made digital merchant payments online or in store (% age 15+)
Made digital merchant payments online or in store, female (% age 15+)
Made digital merchant payments online or in store, male (% age 15+)
Made digital merchant payments online or in store, young (% ages 15-24)
Made digital merchant payments online or in store, older (% age 25+)
Made digital merchant payments online or in store, primary education or less (% age 15+)
Made digital merchant payments online or in store, secondary education or more (% age 15+)
Made digital merchant payments online or in store, income, poorest 40% (% age 15+)
Made digital merchant payments online or in store, income, richest 60% (% age 15+)
Made digital merchant payments online or in store, rural (% age 15+)
Made digital merchant payments online or in store, urban (% age 15+)
Made digital merchant payments online or in store, out of labor force (% age 15+)
Made digital merchant payments online or in store, in labor force (% age 15+)
Made a utility payment: using an account (% age 15+)
Opened first financial institution account to receive money from the government or wages (% age 15+)
Saved at a financial institution (% age 15+)
Saved at a financial institution, female (% age 15+)
Saved at a financial institution, male (% age 15+)
Saved at a financial institution, young (% ages 15-24)
Saved at a financial institution, older (% age 25+)
Saved at a financial institution, primary education or less (% age 15+)
Saved at a financial institution, secondary education or more (% age 15+)
Saved at a financial institution, income, poorest 40% (% age 15+)
Saved at a financial institution, income, richest 60% (% age 15+)
Saved at a financial institution, rural (% age 15+)
Saved at a financial institution, urban (% age 15+)
Saved at a financial institution, out of labor force (% age 15+)
Saved at a financial institution, in labor force (% age 15+)
Saved for old age (% age 15+)
Saved for old age, female (% age 15+)
Saved for old age, male (% age 15+)
Saved for old age, young (% ages 15-24)
Saved for old age, older (% age 25+)
Saved for old age, primary education or less (% age 15+)
Saved for old age, secondary education or more (% age 15+)
Saved for old age, income, poorest 40% (% age 15+)
Saved for old age, income, richest 60% (% age 15+)
Saved for old age, rural (% age 15+)
Saved for old age, urban (% age 15+)
Saved for old age, out of labor force (% age 15+)
Saved for old age, in labor force (% age 15+)
Used a debit or credit card (% age 15+)
Main source of emergency funds: savings, somewhat or not difficult (% age 15+)
Main source of emergency funds: savings, and very difficult (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, female (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, male (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, young (% ages 15-24)
Coming up with emergency funds in 30 days: somewhat or not difficult, older (% age 25+)
Coming up with emergency funds in 30 days: somewhat or not difficult, primary education or less (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, secondary education or more (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, income, poorest 40% (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, income, richest 60% (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, rural (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, urban (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, out of labor force (% age 15+)
Coming up with emergency funds in 30 days: somewhat or not difficult, in labor force (% age 15+)
Access to a mobile phone (% age 15+)
Access to a mobile phone, female (% age 15+)
Access to a mobile phone, male (% age 15+)
Access to a mobile phone, young (% ages 15-24)
Access to a mobile phone, older (% age 25+)
Access to a mobile phone, primary education or less (% age 15+)
Access to a mobile phone, secondary education or more (% age 15+)
Access to a mobile phone, income, poorest 40% (% age 15+)
Access to a mobile phone, income, richest 60% (% age 15+)
Access to a mobile phone, rural (% age 15+)
Access to a mobile phone, urban (% age 15+)
Access to a mobile phone, out of labor force (% age 15+)
Access to a mobile phone, in labor force (% age 15+)
Access to internet (% age 15+)
Access to internet, female (% age 15+)
Access to internet, male (% age 15+)
Access to internet, young (% ages 15-24)
Access to internet, older (% age 25+)
Access to internet, primary education or less (% age 15+)
Access to internet, secondary education or more (% age 15+)
Access to internet, income, poorest 40% (% age 15+)
Access to internet, income, richest 60% (% age 15+)
Access to internet, rural (% age 15+)
Access to internet, urban (% age 15+)
Access to internet, out of labor force (%)
Access to internet, in labor force (%)
Financial knowledge score (0-7, high)
Financial behavior score (0-9, high)
Financial attitudes score (0-3, high)
Financial literacy score (1-21, high)
Adults who actively budget/ keep track of their money (%)
Adults who shop around for financial products (%)
Adults who understand simple and compound interest (%)
Adults who understand the relationship between risk and return (%)
Adults who understand inflation (%)
Adults who understand risk diversification (%)
SMEs with an outstanding loan or line of credit (%)
SMEs with at least one female owner with an outstanding loan or line of credit (%)
SMEs with an account at a formal financial institution (%)
SMEs with at least one female owner with an account at a formal financial institution (%)
SMEs with a male owner with an account at a formal financial institution (%)
SMEs with outstanding credit who are required to provide collateral on loans (%)
SMEs with at least one female owner with outstanding credit who are required to provide collateral on loans (%)
SMEs with a male owner with outstanding credit who are required to provide collateral on loans (%)
Mobile Money Deployment (# of active services)
Mobile Money regulatory index (0-100)
Adults with identification (% age 15+)
Adults with identification, female (% age 15+)
Adults with identification, male (% age 15+)
Adults with identification, young (% ages 15-24)
Adults with identification, older (% age 25+)
Adults with identification, primary education or less (% age 15+)
Adults with identification, secondary education or more (% age 15+)
Adults with identification, income, poorest 40% (% age 15+)
Adults with identification, income, richest 60% (% age 15+)
Adults with identification, rural (% age 15+)
Adults with identification, urban (% age 15+)
Adults with identification, out of labor force (% age 15+)
Adults with identification, in labor force (% age 15+)