Banking & Finance Statistics in Cyprus

Explore trusted banking & finance data and trends for Cyprus.

All Banking & Finance datasets for Cyprus (822)

Dataset
Financial Access Survey (FAS)
IMF
−16.7%
Effective Exchange Rate (EER)
IMF
+2.1%
Annual Purchasing Power Parities and exchange rates
OECD
−4.2%
Private sector credit flow, non-consolidated
Eurostat
−24.4%
Private sector debt, non-consolidated
Eurostat
−2.2%
Industrial countries' effective exchange rates - monthly data
Eurostat
0%
Industrial countries' effective exchange rates - quarterly data
Eurostat
0%
Real effective exchange rate - 42 trading partners
Eurostat
+0.6%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
−85.7%
Real effective exchange rate - euro area trading partners
Eurostat
−1.6%
Total financial sector liabilities, non-consolidated - annual data
Eurostat
+1.8%
Total financial sector liabilities, by sub-sectors, non-consolidated - % of GDP
Eurostat
+0.7%
Total financial sector liabilities, by sub-sectors, non-consolidated - million units of national currency
Eurostat
+5.7%
Total financial sector liabilities, by instruments, non-consolidated - % of GDP
Eurostat
−0.9%
Total financial sector liabilities, by instruments, non-consolidated - million units of national currency
Eurostat
+4%
Financial sector leverage, debt to equity, non-consolidated - %
Eurostat
−6.8%
Total financial sector liabilities, consolidated
Eurostat
+2.2%
Total financial sector liabilities, by sub-sectors, consolidated - % of GDP
Eurostat
+3.3%
Total financial sector liabilities, by sub-sectors, consolidated - million units of national currency
Eurostat
+8.4%
Total financial sector liabilities, by instruments, consolidated - % of GDP
Eurostat
+1.5%
Total financial sector liabilities, by instruments, consolidated - million units of national currency
Eurostat
+6.5%
Private sector credit flow: debt securities by sectors, non-consolidated - % of GDP
Eurostat
0
Private sector credit flow: debt securities by sectors, non-consolidated - million units of national currency
Eurostat
+1.6%
Private sector credit flow: loans by sectors, non-consolidated - % of GDP
Eurostat
−50%
Private sector credit flow: loans by sectors, non-consolidated - million units of national currency
Eurostat
−44.7%
Private sector credit flow, consolidated - % GDP
Eurostat
−24.4%
Private sector credit flow: debt securities by sectors, consolidated - % of GDP
Eurostat
0
Private sector credit flow: debt securities by sectors, consolidated - million units of national currency
Eurostat
+12.3%
Private sector credit flow: loans by sectors, consolidated - % of GDP
Eurostat
−50%
Private sector credit flow: loans by sectors, consolidated - million units of national currency
Eurostat
−46.8%
Non-financial corporations excluding foreign direct investments credit flow, consolidated
Eurostat
+168%
Household including non-profit institutions serving households (NPISH) credit flow, consolidated
Eurostat
+8.1%
Private sector debt: debt securities by sectors, non-consolidated - % of GDP
Eurostat
0%
Private sector debt: debt securities by sectors, non-consolidated - million units of national currency
Eurostat
+1.9%
Private sector debt: loans, by sectors, non-consolidated - % of GDP
Eurostat
−7.4%
Private sector debt: loans by sectors, non-consolidated - million units of national currency
Eurostat
−2.8%
Private sector debt, consolidated - % of GDP
Eurostat
−2.2%
Household debt, consolidated including Non-profit institutions serving households
Eurostat
−0.9%
Private sector debt: debt securities, by sectors, consolidated - % of GDP
Eurostat
0%
Private sector debt: debt securities, by sectors, consolidated - million units of national currency
Eurostat
+3.4%
Private sector debt: loans, by sectors, consolidated - % of GDP
Eurostat
−7.4%
Private sector debt: loans, by sectors, consolidated - million units of national currency
Eurostat
−2.9%
Non-financial corporations debt, consolidated - % of GDP
Eurostat
−2.9%
Non-financial corporations debt excluding foreign direct investments, consolidated
Eurostat
−2%
Household including non-profit institutions serving households (NPISH) debt, consolidated
Eurostat
−9%
Conversion factors for euro fixed series into euro/ECU - monthly data
Eurostat
0%
Revaluation account - quarterly data
Eurostat
−95.9%
Gross debt-to-income ratio of households
Eurostat
−6.5%
Industrial countries' effective exchange rates - annual data
Eurostat
0%
Nominal effective exchange rate - 42 trading partners
Eurostat
+2.6%
Nominal effective exchange rate - euro area trading partners
Eurostat
0%
Real effective exchange rate - index, 42 trading partners
Eurostat
+0.1%
EMU convergence criterion series - monthly data
Eurostat
−1.4%
EMU convergence criterion series - quarterly data
Eurostat
+6.3%
Long term government bond yields
Eurostat
−1.4%
Direct investment - annual data, million units of national currency
Eurostat
+0.8%
Direct investment assets, by instruments - annual data, million units of national currency
Eurostat
+0.8%
Direct investment liabilities, by instruments - annual data, million units of national currency
Eurostat
+2.1%
Portfolio investment - annual data, million units of national currency
Eurostat
+6.6%
Portfolio investment assets, by instuments - annual data, million units of national currency
Eurostat
+6.6%
Portfolio investment liabilities, by instruments - annual data, million units of national currency
Eurostat
+6.9%
Financial derivatives and employee stock options - annual data, million units of national currency
Eurostat
−33.1%
Financial derivatives and employee stock options, by sectors - annual data, million units of national currency
Eurostat
+45.5%
Other investment - annual data, million units of national currency
Eurostat
+6.1%
Other investment by sectors - annual data, million units of national currency
Eurostat
−1.3%
Direct investment - quarterly data, million units of national currency
Eurostat
−0.3%
Portfolio investment - quarterly data, million units of national currency
Eurostat
+0.4%
Financial derivatives and employee stock options - quarterly data, million units of national currency
Eurostat
+26.9%
Other investment - quarterly data, million units of national currency
Eurostat
−0.6%
Generation and discharge of wastewater in volume
Eurostat
−10.3%
Conversion factors for euro fixed series into euro/ECU - quarterly data
Eurostat
0%
Gross non-performing loans, domestic and foreign entities - % of gross loans
Eurostat
−48.4%
Consolidated banking leverage, domestic and foreign entities (asset-to-equity multiple)
Eurostat
−1.9%
Tier-1 capital ratio banking sector
Eurostat
+5%
Return on equity of banks
Eurostat
−31.7%
Special Purpose Entities (SPEs) 2026 April
IMF
−13.8%
Individuals using the internet for internet banking
Eurostat
−3%
Investment: Credit to Agriculture
FAO
−5.5%
Effective Exchange Rates (ER) 2026 April
IMF
+2.4%
Special Purpose Entities (SPEs) 2026 February
IMF
−13.8%
EMU convergence criterion series - annual data
Eurostat
−6.5%
Effective Exchange Rates (ER) 2026 February
IMF
+2.1%
Proportion of dissaving households by level of expenditure and income quintile - experimental statistics
Eurostat
+6.5%
Proportion of dissaving households by level of expenditure and educational attainment level of the reference person - experimental statistics
Eurostat
−13.1%
Proportion of dissaving households by level of expenditure and degree of urbanisation - experimental statistics
Eurostat
+21%
Proportion of dissaving households by level of expenditure and activity status of the household reference person - experimental statistics
Eurostat
−1.2%
Median saving rate by age of the reference person - experimental statistics
Eurostat
+139%
Median saving rate by household type - experimental statistics
Eurostat
+139%
Median saving rate by income quintile - experimental statistics
Eurostat
+139%
Median saving rate by educational attainment level of the reference person - experimental statistics
Eurostat
+139.3%
Aggregate propensity to consume by age of the reference person - experimental statistics
Eurostat
−12.7%
Aggregate propensity to consume by household type - experimental statistics
Eurostat
−12.7%
Aggregate propensity to consume by income quintile - experimental statistics
Eurostat
−12.7%
Aggregate propensity to consume by educational attainment level of the reference person - experimental statistics
Eurostat
−15.4%
Median saving rate by the self-declared level of difficulty to make ends meet - experimental statistics
Eurostat
+67.2%
Median saving rate by degree of urbanisation - experimental statistics
Eurostat
+139%
Aggregate propensity to consume by degree of urbanisation - experimental statistics
Eurostat
−12.7%
Median saving rate by activity status of the reference person - experimental statistics
Eurostat
+139%
Aggregate propensity to consume by activity status of the reference person - experimental statistics
Eurostat
−12.7%
Effective Exchange Rates (ER) 2026 January
IMF
+2.1%
Special Purpose Entities (SPEs) 2026 January
IMF
−13.8%
Sustainable Bonds
IMF
–
Conversion factors for euro fixed series into euro/ECU - annual data
Eurostat
0%
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
−3.7%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
−3.7%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
−3.7%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
+11.8%
Nominal Effecive Exchange Rate
Global Economic Monitor
+2.1%
Real Effective Exchange Rate
Global Economic Monitor
+1.4%
Total Reserves
Global Economic Monitor
+6.2%
Green bond issuance by corporates and governments
Eurostat
0
Borrowed any money, women (% age 15+)
Gender Statistics
+7.3%
Borrowed any money, men (% age 15+)
Gender Statistics
+16%
Owns a credit card, men (% age 15+)
Gender Statistics
+39.9%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+8%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
−9.1%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+28.6%
Saved using a savings club or a person outside the family (% age 15+)
Gender Statistics
0
Borrowed from a formal bank or similar financial institution (% age 15+)
Gender Statistics
+25.6%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
+21.6%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
+30%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
+25.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
+21.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
+30%
Borrowed from family or friends (% age 15+)
Gender Statistics
+9.9%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
+6.7%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+13.5%
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+14%
Borrowed for health or medical purposes, women (% age 15+)
Gender Statistics
–
Borrowed for health or medical purposes, men (% age 15+)
Gender Statistics
–
Borrowed to start or operate a business (% age 15+)
Gender Statistics
+46.7%
Used a credit card (% age 15+)
Gender Statistics
+42.2%
Used a credit card, women (% age 15+)
Gender Statistics
+39%
Used a credit card, men (% age 15+)
Gender Statistics
+45.7%
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
−7.8
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
−4%
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
−92.3
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+52.4%
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
–
Coming up with emergency funds in 30 days: possible and very difficult, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and very difficult, men (% 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: 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: family or friends, possible and very difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult, men (% 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
–
Used a mobile phone or the internet to pay bills (% age 15+)
Gender Statistics
+70.5%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+58.7%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+83.3%
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
−12.2%
Made a utility payment, women (% age 15+)
Gender Statistics
−14.9%
Made a utility payment, men (% age 15+)
Gender Statistics
−9.3%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+7.2%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−4.4%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+20.7%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+7.2%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
−4.4%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+20.7%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+249.4%
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
−54.7%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−54.2%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
−54.9%
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
+29.1%
Received public sector wages: into an account (% age 15+)
Gender Statistics
+29.2%
Received wages: into an account (% age 15+)
Gender Statistics
+29.7%
Received wages: into an account, women (% age 15+)
Gender Statistics
+13.5%
Received wages: into an account, men (% age 15+)
Gender Statistics
+50.2%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+29.8%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+11.4%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+53.1%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+27.3%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
+10.6%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+29.6%
Received wages: in cash only, men (% age 15+)
Gender Statistics
–
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
−11.9%
Received government transfer: into an account (% age 15+)
Gender Statistics
+11.1%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+13%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+7.6%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+7.9%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+12.3%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+0.7%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
−14.4%
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
+4.4%
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
−32.8%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−14%
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+5%
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−32.8%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
+8.8%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+13.1%
Made a digital payment (% age 15+)
Gender Statistics
+19.2%
Made a digital payment, men (% age 15+)
Gender Statistics
+27.7%
Received digital payments (% age 15+)
Gender Statistics
+7.7%
Received digital payments, women (% age 15+)
Gender Statistics
+1%
Received digital payments, men (% age 15+)
Gender Statistics
+16.1%
Saved any money (% age 15+)
Gender Statistics
+3.6%
Saved any money, women (% age 15+)
Gender Statistics
−9.8%
Saved any money, men (% age 15+)
Gender Statistics
+19.1%
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
–
Market capitalization of listed domestic companies (current US$)
World Development Indicators
+5.3%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
−1.8%
Listed domestic companies, total
World Development Indicators
−1.1%
Stocks traded, total value (current US$)
World Development Indicators
+77.3%
Stocks traded, total value (% of GDP)
World Development Indicators
+65.3%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−2.5%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−3.4%
Borrowers from commercial banks (per 1,000 adults)
World Development Indicators
+2%
Depositors with commercial banks (per 1,000 adults)
World Development Indicators
−0.4%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
−6.4%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
−6.4%
Claims on central government, etc. (% GDP)
World Development Indicators
−14.7%
Domestic credit to private sector (% of GDP)
World Development Indicators
−6.4%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
+3.8%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
+5.8%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
+0.7%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
+1.1%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
+13%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
+1.8%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
+14.1%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
+3.2%
Firms using banks to finance working capital (% of firms)
World Development Indicators
−22.1%
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
−31.8%
Firms using banks to finance investment (% of firms)
World Development Indicators
+18.6%
Firms that are fully credit constrained (% of firms)
World Development Indicators
−92.4%
Firms that are partially credit constrained (% of firms)
World Development Indicators
−31.3%
Official exchange rate (LCU per US$, period average)
World Development Indicators
−0.1%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+8%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
−9.1%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+22%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
+0.2%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+28.6%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+31.3%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+1.4%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+11.1%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+1.7%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
−14.4%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
+16.3%
Owns a debit card (% age 15+)
Global Findex database
+7.3%
Owns a debit card, female (% age 15+)
Global Findex database
+9%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+17%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+1.5%
Owns a debit card, male (% age 15+)
Global Findex database
+5.5%
Owns a debit card, young (% ages 15-24)
Global Findex database
+8%
Owns a debit card, older (% age 25+)
Global Findex database
+7.2%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+25%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
+2.9%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
+2.5%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
+10.5%
Owns a debit card, rural (% age 15+)
Global Findex database
–

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