| Monetary and Financial Statistics (MFS), Monetary Aggregates IMF | IMF | +0.8% |
| Financial Access Survey (FAS) IMF | IMF | 0% |
| Effective Exchange Rate (EER) IMF | IMF | +0.8% |
| Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April IMF | IMF | +15.9% |
| Special Purpose Entities (SPEs) 2026 April IMF | IMF | – |
| Investment: Credit to Agriculture FAO | FAO | +18.3% |
| Effective Exchange Rates (ER) 2026 April IMF | IMF | +0.7% |
| Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February IMF | IMF | +15.9% |
| Special Purpose Entities (SPEs) 2026 February IMF | IMF | – |
| Effective Exchange Rates (ER) 2026 February IMF | IMF | +0.7% |
| Effective Exchange Rates (ER) 2026 January IMF | IMF | +0.7% |
| Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January IMF | IMF | +15.9% |
| Special Purpose Entities (SPEs) 2026 January IMF | IMF | – |
| Sustainable Bonds IMF | IMF | – |
| Balance sheet and income statement of insurance companies OECD | OECD | +12.8% |
| Insurance business written by class of insurance OECD | OECD | +5.8% |
| Insurance indicators OECD | OECD | +18% |
| Insurance companies and employees OECD | OECD | +6% |
| Working Paper Foreign Exchange Intervention (WPFXI) A Dataset of Public Data and Proxies IMF | IMF | 0% |
| Official exchange rate, LCU per USD, period average Global Economic Monitor | Global Economic Monitor | +2.8% |
| Exchange rate, new LCU per USD extended backward, period average Global Economic Monitor | Global Economic Monitor | +2.8% |
| Exchange rate, old LCU per USD extended forward, period average Global Economic Monitor | Global Economic Monitor | +2.8% |
| Foreign Reserves, Months Import Cover, Goods Global Economic Monitor | Global Economic Monitor | +7.2% |
| Nominal Effecive Exchange Rate Global Economic Monitor | Global Economic Monitor | −0.7% |
| Real Effective Exchange Rate Global Economic Monitor | Global Economic Monitor | +1.5% |
| Total Reserves Global Economic Monitor | Global Economic Monitor | +7.4% |
| Borrowed any money, women (% age 15+) Gender Statistics | Gender Statistics | +7.9% |
| Borrowed any money, men (% age 15+) Gender Statistics | Gender Statistics | −0.7% |
| Owns a credit card, men (% age 15+) Gender Statistics | Gender Statistics | −8.7% |
| Saved at a bank or similar financial institution (% age 15+) Gender Statistics | Gender Statistics | +27.8% |
| Saved at a bank or similar financial institution, women (% age 15+) Gender Statistics | Gender Statistics | +19.7% |
| Saved at a bank or similar financial institution, men (% age 15+) Gender Statistics | Gender Statistics | +35.4% |
| Saved using a savings club or a person outside the family (% age 15+) Gender Statistics | Gender Statistics | −21.8% |
| Borrowed from a formal bank or similar financial institution (% age 15+) Gender Statistics | Gender Statistics | −3.3% |
| Borrowed from a formal bank or similar financial institution, women (% age 15+) Gender Statistics | Gender Statistics | −5.6% |
| Borrowed from a formal bank or similar financial institution, men (% age 15+) Gender Statistics | Gender Statistics | −0.4% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+) Gender Statistics | Gender Statistics | −3.3% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+) Gender Statistics | Gender Statistics | −5.6% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+) Gender Statistics | Gender Statistics | −0.4% |
| Borrowed from family or friends (% age 15+) Gender Statistics | Gender Statistics | +43.3% |
| Borrowed from family or friends, women (% age 15+) Gender Statistics | Gender Statistics | +67.2% |
| Borrowed from family or friends, men (% age 15+) Gender Statistics | Gender Statistics | +19.3% |
| Borrowed from a savings club (% age 15+) Gender Statistics | Gender Statistics | +0.2 |
| Borrowed for health or medical purposes (% age 15+) Gender Statistics | Gender Statistics | +51.4% |
| Borrowed for health or medical purposes, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Borrowed for health or medical purposes, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Borrowed to start or operate a business (% age 15+) Gender Statistics | Gender Statistics | +5.2% |
| Used a credit card (% age 15+) Gender Statistics | Gender Statistics | −10.8% |
| Used a credit card, women (% age 15+) Gender Statistics | Gender Statistics | −11.6% |
| Used a credit card, men (% age 15+) Gender Statistics | Gender Statistics | −9.6% |
| Paid off all credit card balances in full by their due date (% age 15+) Gender Statistics | Gender Statistics | – |
| Paid off all credit card balances in full by their due date, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Paid off all credit card balances in full by their due date, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: not possible (% age 15+) Gender Statistics | Gender Statistics | −11.3 |
| Coming up with emergency funds in 30 days: not possible, women (% age 15+) Gender Statistics | Gender Statistics | −80.8% |
| Coming up with emergency funds in 30 days: possible and not difficult at all (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and not difficult at all, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and not difficult at all, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible (% age 15+) Gender Statistics | Gender Statistics | −88.7 |
| Coming up with emergency funds in 30 days: possible, women (% age 15+) Gender Statistics | Gender Statistics | +128.3% |
| Coming up with emergency funds in 30 days: possible and somewhat difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and somewhat difficult, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and somewhat difficult, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and very difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and very difficult, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Coming up with emergency funds in 30 days: possible and very difficult, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: loan from a bank, employer, or private lender (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, possible and very difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, possible and very difficult, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: family or friends, possible and very difficult, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: savings (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: savings, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: savings, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: sale of assets (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: work (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: work, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: work, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult (% age 15+) Gender Statistics | Gender Statistics | – |
| Used a mobile phone or the internet to pay bills (% age 15+) Gender Statistics | Gender Statistics | +78.9% |
| Used a mobile phone or the internet to pay bills, women (% age 15+) Gender Statistics | Gender Statistics | +101.8% |
| Used a mobile phone or the internet to pay bills, men (% age 15+) Gender Statistics | Gender Statistics | +58.7% |
| Used a mobile phone or the internet to buy something online (% age 15+) Gender Statistics | Gender Statistics | – |
| Used a mobile phone or the internet to buy something online, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Used a mobile phone or the internet to buy something online, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Made a digital online merchant payment for an online purchase (% age 15+) Gender Statistics | Gender Statistics | – |
| Made a digital online merchant payment for an online purchase, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Made a digital online merchant payment for an online purchase, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Made a utility payment (% age 15+) Gender Statistics | Gender Statistics | −6.9% |
| Made a utility payment, women (% age 15+) Gender Statistics | Gender Statistics | −8.8% |
| Made a utility payment, men (% age 15+) Gender Statistics | Gender Statistics | −4.7% |
| Made a utility payment: using a bank or similar financial institution account (% age 15+) Gender Statistics | Gender Statistics | +37.6% |
| Made a utility payment: using a bank or similar financial institution account, women (% age 15+) Gender Statistics | Gender Statistics | +31.6% |
| Made a utility payment: using a bank or similar financial institution account, men (% age 15+) Gender Statistics | Gender Statistics | +44% |
| Made a utility payment: using an account (% age 15+) Gender Statistics | Gender Statistics | +37.6% |
| Made a utility payment: using an account, women (% age 15+) Gender Statistics | Gender Statistics | +31.6% |
| Made a utility payment: using an account, men (% age 15+) Gender Statistics | Gender Statistics | +44% |
| Made a utility payment: using a mobile phone (% age 15+) Gender Statistics | Gender Statistics | +356.7% |
| Made a utility payment: using a mobile phone, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Made a utility payment: using a mobile phone, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Made a utility payment: using cash only (% age 15+) Gender Statistics | Gender Statistics | −28.9% |
| Made a utility payment: using cash only, women (% age 15+) Gender Statistics | Gender Statistics | −31.8% |
| Made a utility payment: using cash only, men (% age 15+) Gender Statistics | Gender Statistics | −24.9% |
| Received public sector wages: into a bank or similar financial institution account (% age 15+) Gender Statistics | Gender Statistics | +12% |
| Received public sector wages: into an account (% age 15+) Gender Statistics | Gender Statistics | +9.6% |
| Received wages: into an account (% age 15+) Gender Statistics | Gender Statistics | +10.2% |
| Received wages: into an account, women (% age 15+) Gender Statistics | Gender Statistics | +18.1% |
| Received wages: into an account, men (% age 15+) Gender Statistics | Gender Statistics | +3.7% |
| Received private sector wages: into a bank or similar financial institution account (% age 15+) Gender Statistics | Gender Statistics | +14.1% |
| Received private sector wages: into a bank or similar financial institution account, women (% age 15+) Gender Statistics | Gender Statistics | +18.1% |
| Received private sector wages: into a bank or similar financial institution account, men (% age 15+) Gender Statistics | Gender Statistics | +10.7% |
| Received private sector wages: into an account (% age 15+) Gender Statistics | Gender Statistics | +10.5% |
| Received private sector wages: into an account, women (% age 15+) Gender Statistics | Gender Statistics | +9.9% |
| Received wages: into a bank or similar financial institution account (% age 15+) Gender Statistics | Gender Statistics | +13.4% |
| Received wages: in cash only, men (% age 15+) Gender Statistics | Gender Statistics | −42.6% |
| Received government transfer or pension: into bank or similar financial institution account, men (% age 15+) Gender Statistics | Gender Statistics | −13% |
| Received government transfer: into an account (% age 15+) Gender Statistics | Gender Statistics | +30.2% |
| Received government transfer: into an account, women (% age 15+) Gender Statistics | Gender Statistics | +36.3% |
| Received government transfer: into an account, men (% age 15+) Gender Statistics | Gender Statistics | +21.5% |
| Received government transfer: into a bank or similar financial institution account (% age 15+) Gender Statistics | Gender Statistics | +10.3% |
| Received a public sector pension: into an account (% age 15+) Gender Statistics | Gender Statistics | −23.6% |
| Received a public sector pension: into a bank or similar financial institution account (% age 15+) Gender Statistics | Gender Statistics | −23.4% |
| Received payments for agricultural products: in cash only (% age 15+) Gender Statistics | Gender Statistics | +9% |
| Made or received a digital payment (% age 15+) Gender Statistics | Gender Statistics | +14.6% |
| Made or received a digital payment, men (% age 15+) Gender Statistics | Gender Statistics | +6.8% |
| Made a digital payment (% age 15+) Gender Statistics | Gender Statistics | +13.1% |
| Made a digital payment, men (% age 15+) Gender Statistics | Gender Statistics | +0.8% |
| Received digital payments (% age 15+) Gender Statistics | Gender Statistics | +13.1% |
| Received digital payments, women (% age 15+) Gender Statistics | Gender Statistics | +17.6% |
| Received digital payments, men (% age 15+) Gender Statistics | Gender Statistics | +8.4% |
| Saved any money (% age 15+) Gender Statistics | Gender Statistics | +1.6% |
| Saved any money, women (% age 15+) Gender Statistics | Gender Statistics | +7.4% |
| Saved any money, men (% age 15+) Gender Statistics | Gender Statistics | −4.1% |
| Market capitalization of listed domestic companies (current US$) World Development Indicators | World Development Indicators | −78.2% |
| Market capitalization of listed domestic companies (% of GDP) World Development Indicators | World Development Indicators | −79.5% |
| Listed domestic companies, total World Development Indicators | World Development Indicators | −5.6% |
| Stocks traded, total value (current US$) World Development Indicators | World Development Indicators | −50% |
| Stocks traded, total value (% of GDP) World Development Indicators | World Development Indicators | −47.1% |
| Net official flows from UN agencies, FAO (current US$) World Development Indicators | World Development Indicators | – |
| Net official flows from UN agencies, IAEA (current US$) World Development Indicators | World Development Indicators | +15.6% |
| Net financial flows, IBRD (NFL, current US$) World Development Indicators | World Development Indicators | +1,326.1% |
| IFC, private nonguaranteed (NFL, US$) World Development Indicators | World Development Indicators | – |
| Automated teller machines (ATMs) (per 100,000 adults) World Development Indicators | World Development Indicators | +4.4% |
| Commercial bank branches (per 100,000 adults) World Development Indicators | World Development Indicators | −6.5% |
| Borrowers from commercial banks (per 1,000 adults) World Development Indicators | World Development Indicators | +2.5% |
| Depositors with commercial banks (per 1,000 adults) World Development Indicators | World Development Indicators | +4.8% |
| Domestic credit to private sector by banks (% of GDP) World Development Indicators | World Development Indicators | +8.8% |
| Bank liquid reserves to bank assets ratio (%) World Development Indicators | World Development Indicators | +1.5% |
| Monetary Sector credit to private sector (% GDP) World Development Indicators | World Development Indicators | +8.8% |
| Broad money (% of GDP) World Development Indicators | World Development Indicators | +7.8% |
| Interest rate spread (lending rate minus deposit rate, %) World Development Indicators | World Development Indicators | −31.3% |
| Claims on central government, etc. (% GDP) World Development Indicators | World Development Indicators | −77.4% |
| Claims on other sectors of the domestic economy (% of GDP) World Development Indicators | World Development Indicators | +8.3% |
| Domestic credit provided by financial sector (% of GDP) World Development Indicators | World Development Indicators | +10.9% |
| Domestic credit to private sector (% of GDP) World Development Indicators | World Development Indicators | +8.8% |
| Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) World Development Indicators | World Development Indicators | −0.6% |
| Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) World Development Indicators | World Development Indicators | −3.2% |
| Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) World Development Indicators | World Development Indicators | +2.6% |
| Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) World Development Indicators | World Development Indicators | −1.8% |
| Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+) World Development Indicators | World Development Indicators | −7.5% |
| Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+) World Development Indicators | World Development Indicators | +4% |
| Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24) World Development Indicators | World Development Indicators | +5% |
| Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) World Development Indicators | World Development Indicators | −0.5% |
| Firms using banks to finance working capital (% of firms) World Development Indicators | World Development Indicators | +15.7% |
| Firms with a bank loan/line of credit (% of firms) World Development Indicators | World Development Indicators | +18.6% |
| Firms using banks to finance investment (% of firms) World Development Indicators | World Development Indicators | −9.3% |
| Firms that are fully credit constrained (% of firms) World Development Indicators | World Development Indicators | +9.6% |
| Firms that are partially credit constrained (% of firms) World Development Indicators | World Development Indicators | −29.2% |
| Official exchange rate (LCU per US$, period average) World Development Indicators | World Development Indicators | +3.6% |
| Saved at a financial institution or using a mobile money account (% age 15+) Global Findex database | Global Findex database | +27.8% |
| Saved at a financial institution or using a mobile money account, female (% age 15+) Global Findex database | Global Findex database | +19.7% |
| Saved at a financial institution or using a mobile money account, out of labor force (% age 15+) Global Findex database | Global Findex database | +21.9% |
| Saved at a financial institution or using a mobile money account, in labor force (% age 15+) Global Findex database | Global Findex database | +26.5% |
| Saved at a financial institution or using a mobile money account, male (% age 15+) Global Findex database | Global Findex database | +35.4% |
| Saved at a financial institution or using a mobile money account, young (% ages 15-24) Global Findex database | Global Findex database | +48% |
| Saved at a financial institution or using a mobile money account, older (% age 25+) Global Findex database | Global Findex database | +24% |
| Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+) Global Findex database | Global Findex database | +256.6% |
| Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+) Global Findex database | Global Findex database | +46.7% |
| Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+) Global Findex database | Global Findex database | +50.8% |
| Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+) Global Findex database | Global Findex database | +24.5% |
| Owns a debit card (% age 15+) Global Findex database | Global Findex database | +9.1% |
| Owns a debit card, female (% age 15+) Global Findex database | Global Findex database | +7.3% |
| Owns a debit card, urban (% age 15+) Global Findex database | Global Findex database | – |
| Owns a debit card, out of labor force (% age 15+) Global Findex database | Global Findex database | +1.6% |
| Owns a debit card, in labor force (% age 15+) Global Findex database | Global Findex database | +13.3% |
| Owns a debit card, male (% age 15+) Global Findex database | Global Findex database | +11.3% |
| Owns a debit card, young (% ages 15-24) Global Findex database | Global Findex database | +21% |
| Owns a debit card, older (% age 25+) Global Findex database | Global Findex database | +6.9% |
| Owns a debit card, primary education or less (% ages 15+) Global Findex database | Global Findex database | +6.5% |
| Owns a debit card, secondary education or more (% ages 15+) Global Findex database | Global Findex database | +10.2% |
| Owns a debit card, income, poorest 40% (% ages 15+) Global Findex database | Global Findex database | +16.3% |
| Owns a debit card, income, richest 60% (% ages 15+) Global Findex database | Global Findex database | +5.9% |
| Owns a debit card, rural (% age 15+) Global Findex database | Global Findex database | – |
| Has access to the Internet (% age 15+) Global Findex database | Global Findex database | – |
| Mobile money account (% age 15+) Global Findex database | Global Findex database | – |
| Borrowed any money, out of laborforce (% age 15+) Global Findex database | Global Findex database | +10.7% |
| Borrowed any money, in laborforce (% age 15+) Global Findex database | Global Findex database | −1.1% |
| Borrowed any money, young (% ages 15-24) Global Findex database | Global Findex database | +30.5% |
| Borrowed any money, older (% age 25+) Global Findex database | Global Findex database | −0.5% |
| Borrowed any money, primary education or less (% age 15+) Global Findex database | Global Findex database | +17.7% |
| Borrowed any money, secondary education or more (% age 15+) Global Findex database | Global Findex database | +6.5% |
| Borrowed any money, poorest 40% (% age 15+) Global Findex database | Global Findex database | +19.4% |
| Borrowed any money, richest 60% (% age 15+) Global Findex database | Global Findex database | −3.4% |
| Own a mobile phone, urban (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, out of laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, in laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, young (% ages 15-24) Global Findex database | Global Findex database | – |
| Own a mobile phone, older (% age 25+) Global Findex database | Global Findex database | – |
| Own a mobile phone, primary education or less (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, secondary education or more (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, poorest 40% (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, richest 60% (% age 15+) Global Findex database | Global Findex database | – |
| Own a mobile phone, rural (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, urban (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, out of laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, in laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, young (% ages 15-24) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, older (% age 25+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, primary education or less (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, secondary education or more (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, poorest 40% (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, richest 60% (% age 15+) Global Findex database | Global Findex database | – |
| Main mobile phone is a smartphone, rural (% age 15+) Global Findex database | Global Findex database | – |
| Owns a credit card, young (% ages 15-24) Global Findex database | Global Findex database | +76.6% |
| Owns a credit card, older (% age 25+) Global Findex database | Global Findex database | −15.8% |
| Owns a credit card, primary education or less (% age 15+) Global Findex database | Global Findex database | −24.1% |
| Owns a credit card, secondary education or more (% age 15+) Global Findex database | Global Findex database | +9.9% |
| Owns a credit card, poorest 40% (% age 15+) Global Findex database | Global Findex database | −22.6% |
| Owns a credit card, richest 60% (% age 15+) Global Findex database | Global Findex database | −6.2% |
| Saved at a bank or similar financial institution, out of laborforce (% age 15+) Global Findex database | Global Findex database | +21.9% |
| Saved at a bank or similar financial institution, in laborforce (% age 15+) Global Findex database | Global Findex database | +26.5% |
| Saved at a bank or similar financial institution, young (% ages 15-24) Global Findex database | Global Findex database | +48% |
| Saved at a bank or similar financial institution, older (% age 25+) Global Findex database | Global Findex database | +24% |
| Saved at a bank or similar financial institution, primary education or less (% age 15+) Global Findex database | Global Findex database | +256.6% |
| Saved at a bank or similar financial institution, secondary education or more (% age 15+) Global Findex database | Global Findex database | +46.7% |
| Saved at a bank or similar financial institution, poorest 40% (% age 15+) Global Findex database | Global Findex database | +50.8% |
| Saved at a bank or similar financial institution, richest 60% (% age 15+) Global Findex database | Global Findex database | +24.5% |
| Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+) Global Findex database | Global Findex database | +2.8% |
| Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+) Global Findex database | Global Findex database | −7.7% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, out of laborforce (% age 15+) Global Findex database | Global Findex database | +2.8% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+) Global Findex database | Global Findex database | −7.7% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24) Global Findex database | Global Findex database | +50.7% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+) Global Findex database | Global Findex database | −8.1% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, primary education or less (% age 15+) Global Findex database | Global Findex database | −1.4% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, secondary education or more (% age 15+) Global Findex database | Global Findex database | +7.2% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+) Global Findex database | Global Findex database | +2.5% |
| Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+) Global Findex database | Global Findex database | −5.5% |
| Borrowed from a formal bank or similar financial institution, young (% ages 15-24) Global Findex database | Global Findex database | +50.7% |
| Borrowed from a formal bank or similar financial institution, older (% age 25+) Global Findex database | Global Findex database | −8.1% |
| Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+) Global Findex database | Global Findex database | −1.4% |
| Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+) Global Findex database | Global Findex database | +7.2% |
| Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+) Global Findex database | Global Findex database | +2.5% |
| Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+) Global Findex database | Global Findex database | −5.5% |
| Borrowed from family or friends, out of laborforce (% age 15+) Global Findex database | Global Findex database | +69.9% |
| Borrowed from family or friends, in laborforce (% age 15+) Global Findex database | Global Findex database | +29.6% |
| Borrowed from family or friends, young (% ages 15-24) Global Findex database | Global Findex database | +13.8% |
| Borrowed from family or friends, older (% age 25+) Global Findex database | Global Findex database | +62.2% |
| Borrowed from family or friends, primary education or less (% age 15+) Global Findex database | Global Findex database | +132.2% |
| Borrowed from family or friends, secondary education or more (% age 15+) Global Findex database | Global Findex database | +21.7% |
| Borrowed from family or friends, poorest 40% (% age 15+) Global Findex database | Global Findex database | +60.1% |
| Borrowed from family or friends, richest 60% (% age 15+) Global Findex database | Global Findex database | +28.1% |
| Borrowed for health or medical purposes, out of laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, in laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, young (% ages 15-24) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, older (% age 25+) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, primary education or less (% age 15+) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, secondary education or more (% age 15+) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, poorest 40% (% age 15+) Global Findex database | Global Findex database | – |
| Borrowed for health or medical purposes, richest 60% (% age 15+) Global Findex database | Global Findex database | – |
| Used a credit card, out of laborforce (% age 15+) Global Findex database | Global Findex database | −8.9% |
| Used a credit card, in laborforce (% age 15+) Global Findex database | Global Findex database | −13.3% |
| Used a credit card, young (% ages 15-24) Global Findex database | Global Findex database | +48.5% |
| Used a credit card, older (% age 25+) Global Findex database | Global Findex database | −15.4% |
| Used a credit card, primary education or less (% age 15+) Global Findex database | Global Findex database | −19.1% |
| Used a credit card, secondary education or more (% age 15+) Global Findex database | Global Findex database | +7.1% |
| Used a credit card, poorest 40% (% age 15+) Global Findex database | Global Findex database | −21.5% |
| Used a credit card, richest 60% (% age 15+) Global Findex database | Global Findex database | −7.7% |
| Paid off all credit card balances in full by their due date, out of laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, in laborforce (% age 15+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, young (% ages 15-24) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, older (% age 25+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, primary education or less (% age 15+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, secondary education or more (% age 15+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, poorest 40% (% age 15+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date, richest 60% (% age 15+) Global Findex database | Global Findex database | – |
| Paid off all credit card balances in full by their due date (% who used a credit card, age 15+) Global Findex database | Global Findex database | – |
| Coming up with emergency funds in 30 days: not possible, out of laborforce (% age 15+) Global Findex database | Global Findex database | −72.8% |