Banking & Finance Statistics in Iceland

Explore trusted banking & finance data and trends for Iceland.

All Banking & Finance datasets for Iceland (734)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+11.7%
Financial Access Survey (FAS)
IMF
0%
Currency Composition of the International Investment Position (IIPCC)
IMF
+10.9%
Effective Exchange Rate (EER)
IMF
+4.8%
Annual Purchasing Power Parities and exchange rates
OECD
−6.9%
Financial market
OECD
+5.8%
Monetary aggregates
OECD
+10.4%
Government Annual Financial Accounts (flows), consolidated
OECD
−1,350
Government Quarterly Financial Accounts (flows), consolidated
OECD
+80.6%
Government Annual Financial Accounts (flows), non-consolidated
OECD
−1,420
Households' Financial Assets and Liabilities
OECD
+20.3%
Institutional Investors' Indicators
OECD
+7.3%
Financial Dashboard
OECD
+26.4
Financial indicators dashboard: Total economy
OECD
+236.5%
Financial indicators dashboard: Non-financial corporations
OECD
+26.4
Financial indicators dashboard: Financial corporations
OECD
−21.4
Financial indicators dashboard: Government
OECD
−99.3%
Financial indicators dashboard: Households and NPISH
OECD
−3.1%
Gross debt-to-income ratio of households
Eurostat
−4%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+11.7%
Individuals using the internet for internet banking
Eurostat
−1.1%
Investment: Credit to Agriculture
FAO
+8.1%
Currency Composition of the International Investment Position (IIPCC) 2026 April
IMF
+22%
Effective Exchange Rates (ER) 2026 April
IMF
+5.1%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+11.7%
Currency Composition of the International Investment Position (IIPCC) 2026 February
IMF
−4.9%
Effective Exchange Rates (ER) 2026 February
IMF
+5.1%
Effective Exchange Rates (ER) 2026 January
IMF
+5.1%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+11.7%
Currency Composition of the International Investment Position (IIPCC) 2026 January
IMF
−4.9%
Sustainable Bonds
IMF
+344.4%
Balance sheet and income statement of insurance companies
OECD
+10%
Insurance business written by class of insurance
OECD
0%
Insurance indicators
OECD
0
Insurance companies and employees
OECD
−5.2%
Working Paper Foreign Exchange Intervention (WPFXI) A Dataset of Public Data and Proxies
IMF
0%
Official exchange rate, LCU per USD, period average
Global Economic Monitor
−6.8%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
−6.8%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
−6.8%
Stock Markets, US$
Global Economic Monitor
+17%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
+5.4%
Nominal Effecive Exchange Rate
Global Economic Monitor
−3.1%
Real Effective Exchange Rate
Global Economic Monitor
−2.6%
Total Reserves
Global Economic Monitor
+9.9%
Borrowed any money, women (% age 15+)
Gender Statistics
–
Borrowed any money, men (% age 15+)
Gender Statistics
–
Owns a credit card, men (% age 15+)
Gender Statistics
–
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
–
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
–
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
–
Saved using a savings club or a person outside the family (% age 15+)
Gender Statistics
–
Borrowed from a formal bank or similar financial institution (% age 15+)
Gender Statistics
–
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
–
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
–
Borrowed from family or friends (% age 15+)
Gender Statistics
–
Borrowed from family or friends, women (% age 15+)
Gender Statistics
–
Borrowed from family or friends, men (% age 15+)
Gender Statistics
–
Borrowed from a savings club (% age 15+)
Gender Statistics
–
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
–
Used a credit card (% age 15+)
Gender Statistics
–
Used a credit card, women (% age 15+)
Gender Statistics
–
Used a credit card, men (% age 15+)
Gender Statistics
–
Paid off all credit card balances in full by their due date (% age 15+)
Gender Statistics
–
Paid off all credit card balances in full by their due date, women (% age 15+)
Gender Statistics
–
Paid off all credit card balances in full by their due date, men (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: not possible (% age 15+)
Gender Statistics
−3.3
Coming up with emergency funds in 30 days: possible and not difficult at all (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult at all, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult at all, men (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible (% age 15+)
Gender Statistics
−96.7
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and somewhat difficult (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and somewhat difficult, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and somewhat difficult, men (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and very difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult (% age 15+)
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
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: sale of assets (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to pay bills (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online, women (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online, men (% age 15+)
Gender Statistics
–
Made a digital online merchant payment for an online purchase (% age 15+)
Gender Statistics
–
Made a utility payment (% age 15+)
Gender Statistics
–
Made a utility payment, women (% age 15+)
Gender Statistics
–
Made a utility payment, men (% age 15+)
Gender Statistics
–
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
–
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Made a utility payment: using an account (% age 15+)
Gender Statistics
–
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
–
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
–
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
–
Made a utility payment: using a mobile phone, women (% age 15+)
Gender Statistics
–
Made a utility payment: using a mobile phone, men (% age 15+)
Gender Statistics
–
Made a utility payment: using cash only (% age 15+)
Gender Statistics
–
Received public sector wages, women (% age 15+)
Gender Statistics
–
Received public sector wages, men (% age 15+)
Gender Statistics
–
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received public sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
–
Received public sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Received public sector wages: into an account (% age 15+)
Gender Statistics
–
Received public sector wages: into an account, women (% age 15+)
Gender Statistics
–
Received public sector wages: into an account, men (% age 15+)
Gender Statistics
–
Received wages: into an account (% age 15+)
Gender Statistics
–
Received wages: into an account, women (% age 15+)
Gender Statistics
–
Received wages: into an account, men (% age 15+)
Gender Statistics
–
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
–
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Received private sector wages: into an account (% age 15+)
Gender Statistics
–
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
–
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Received government transfer: into an account (% age 15+)
Gender Statistics
–
Received government transfer: into an account, women (% age 15+)
Gender Statistics
–
Received government transfer: into an account, men (% age 15+)
Gender Statistics
–
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
–
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Received a public sector pension: into an account (% age 15+)
Gender Statistics
–
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
–
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
–
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
–
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
–
Made or received a digital payment (% age 15+)
Gender Statistics
–
Made or received a digital payment, men (% age 15+)
Gender Statistics
–
Made a digital payment (% age 15+)
Gender Statistics
–
Made a digital payment, men (% age 15+)
Gender Statistics
–
Received digital payments (% age 15+)
Gender Statistics
–
Received digital payments, women (% age 15+)
Gender Statistics
–
Received digital payments, men (% age 15+)
Gender Statistics
–
Saved any money (% age 15+)
Gender Statistics
–
Saved any money, women (% age 15+)
Gender Statistics
–
Saved any money, men (% age 15+)
Gender Statistics
–
Arrears on non-housing bills by risk of poverty threshold
Eurostat
–
Arrears on non-housing bills by income quintile
Eurostat
–
Loans (excluding mortgages on purchase of main residence) by risk of poverty threshold
Eurostat
–
Loans (excluding mortgages on purchase of main residence) by income quintile
Eurostat
–
Persons with loans for property purposes by risk of poverty threshold
Eurostat
–
Persons with loans for transport purposes by risk of poverty threshold
Eurostat
–
Persons with loans for education purposes by risk of poverty threshold
Eurostat
–
Persons with loans to cover daily living expenses by risk of poverty threshold
Eurostat
–
Persons with loans for purposes other than property, transport, education and daily living expenses by risk of poverty threshold
Eurostat
–
Savings in a typical month by household habits and risk of poverty threshold
Eurostat
–
Savings in a typical month by household habits and income quintile
Eurostat
–
Persons owning real estate other than main residence by risk of poverty threshold
Eurostat
–
Persons owning real estate other than main residence by income quantile
Eurostat
–
Listed domestic companies, total
World Development Indicators
−29.2%
Stocks traded, total value (current US$)
World Development Indicators
+50.3%
Stocks traded, total value (% of GDP)
World Development Indicators
+24.2%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−18.6%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−8.1%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+1.5%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
+13.5%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+1.5%
Broad money (% of GDP)
World Development Indicators
+5%
Claims on central government, etc. (% GDP)
World Development Indicators
+12%
Domestic credit to private sector (% of GDP)
World Development Indicators
+1.5%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
0%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−0.3%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
0%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−0.2%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
0%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−0.2%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
0%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−0.1%
Firms using banks to finance working capital (% of firms)
World Development Indicators
–
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
–
Firms using banks to finance investment (% of firms)
World Development Indicators
–
Firms that are fully credit constrained (% of firms)
World Development Indicators
–
Firms that are partially credit constrained (% of firms)
World Development Indicators
–
Official exchange rate (LCU per US$, period average)
World Development Indicators
0%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
–
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
–
Owns a debit card (% age 15+)
Global Findex database
0%
Owns a debit card, female (% age 15+)
Global Findex database
+0.3%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
−4.2%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+1.6%
Owns a debit card, male (% age 15+)
Global Findex database
−0.3%
Owns a debit card, young (% ages 15-24)
Global Findex database
+4.8%
Owns a debit card, older (% age 25+)
Global Findex database
−0.9%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+3.5%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
−1.8%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
+5.7%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
−3.6%
Owns a debit card, rural (% age 15+)
Global Findex database
–
Has access to the Internet (% age 15+)
Global Findex database
–
Borrowed any money, out of laborforce (% age 15+)
Global Findex database
–
Borrowed any money, in laborforce (% age 15+)
Global Findex database
–
Borrowed any money, young (% ages 15-24)
Global Findex database
–
Borrowed any money, older (% age 25+)
Global Findex database
–
Borrowed any money, primary education or less (% age 15+)
Global Findex database
–
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
–
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
–
Borrowed any money, richest 60% (% age 15+)
Global Findex database
–
Own a mobile phone, urban (% age 15+)
Global Findex database
–
Own a mobile phone, out of laborforce (% age 15+)
Global Findex database
–
Own a mobile phone, in laborforce (% age 15+)
Global Findex database
–
Own a mobile phone, young (% ages 15-24)
Global Findex database
–
Own a mobile phone, older (% age 25+)
Global Findex database
–
Own a mobile phone, primary education or less (% age 15+)
Global Findex database
–
Own a mobile phone, secondary education or more (% age 15+)
Global Findex database
–
Own a mobile phone, poorest 40% (% age 15+)
Global Findex database
–
Own a mobile phone, richest 60% (% age 15+)
Global Findex database
–
Own a mobile phone, rural (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, urban (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, out of laborforce (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, in laborforce (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, young (% ages 15-24)
Global Findex database
–
Main mobile phone is a smartphone, older (% age 25+)
Global Findex database
–
Main mobile phone is a smartphone, primary education or less (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, secondary education or more (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, poorest 40% (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, richest 60% (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, rural (% age 15+)
Global Findex database
–
Owns a credit card, young (% ages 15-24)
Global Findex database
–
Owns a credit card, older (% age 25+)
Global Findex database
–
Owns a credit card, primary education or less (% age 15+)
Global Findex database
–
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
–
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
–
Owns a credit card, richest 60% (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
–
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
–
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
–
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
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
–
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
–
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
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
–
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
–
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
–
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
–
Borrowed from family or friends, older (% age 25+)
Global Findex database
–
Borrowed from family or friends, primary education or less (% age 15+)
Global Findex database
–
Borrowed from family or friends, secondary education or more (% age 15+)
Global Findex database
–
Borrowed from family or friends, poorest 40% (% age 15+)
Global Findex database
–
Borrowed from family or friends, richest 60% (% age 15+)
Global Findex database
–
Used a credit card, out of laborforce (% age 15+)
Global Findex database
–
Used a credit card, in laborforce (% age 15+)
Global Findex database
–
Used a credit card, young (% ages 15-24)
Global Findex database
–
Used a credit card, older (% age 25+)
Global Findex database
–
Used a credit card, primary education or less (% age 15+)
Global Findex database
–
Used a credit card, secondary education or more (% age 15+)
Global Findex database
–

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