Banking & Finance Statistics in Australia

Explore trusted banking & finance data and trends for Australia.

All Banking & Finance datasets for Australia (691)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+6.7%
Financial Soundness Indicators (FSI), Concentration and Distribution Measures
IMF
+84.2%
Financial Access Survey (FAS)
IMF
0%
Effective Exchange Rate (EER)
IMF
−3.3%
Annual Purchasing Power Parities and exchange rates
OECD
+2.4%
Financial market
OECD
−2.2%
Monetary aggregates
OECD
+6.3%
Government Annual Financial Accounts (flows), consolidated
OECD
+14.1%
Government Quarterly Financial Accounts (flows), consolidated
OECD
−130%
Households' Financial Assets and Liabilities
OECD
+5.5%
Institutional Investors' Indicators
OECD
+0.6%
Financial Dashboard
OECD
+41.4%
Financial indicators dashboard: Total economy
OECD
−21.2%
Financial indicators dashboard: Non-financial corporations
OECD
+41.4%
Financial indicators dashboard: Financial corporations
OECD
−188.7%
Financial indicators dashboard: Government
OECD
−147.8%
Financial indicators dashboard: Households and NPISH
OECD
+0.5%
Industrial countries' effective exchange rates - monthly data
Eurostat
+0.1%
Industrial countries' effective exchange rates - quarterly data
Eurostat
−0.9%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
−5.1
Real effective exchange rate - euro area trading partners
Eurostat
−0.4%
Industrial countries' effective exchange rates - annual data
Eurostat
−0.7%
Venture capital investments (market statistics)
OECD
+19.7%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+6.7%
Investment: Credit to Agriculture
FAO
+9.1%
Effective Exchange Rates (ER) 2026 April
IMF
−3.3%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+6.6%
Effective Exchange Rates (ER) 2026 February
IMF
−3.3%
Effective Exchange Rates (ER) 2026 January
IMF
−3.3%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+6.6%
Sustainable Bonds
IMF
+72.3%
Forward Looking Transition Risk Indicators
IMF
–
Balance sheet and income statement of insurance companies
OECD
−15.3%
Insurance business written by class of insurance
OECD
−7.7%
Insurance indicators
OECD
0
Insurance companies and employees
OECD
0%
Working Paper Foreign Exchange Intervention (WPFXI) A Dataset of Public Data and Proxies
IMF
+0.8
Official exchange rate, LCU per USD, period average
Global Economic Monitor
+2.6%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
+2.6%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
+2.6%
Stock Markets, US$
Global Economic Monitor
+4.6%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
−5.5%
Nominal Effecive Exchange Rate
Global Economic Monitor
+1.1%
Real Effective Exchange Rate
Global Economic Monitor
+2.8%
Total Reserves
Global Economic Monitor
−2.4%
Borrowed any money, women (% age 15+)
Gender Statistics
−5.8%
Borrowed any money, men (% age 15+)
Gender Statistics
−7.5%
Owns a credit card, men (% age 15+)
Gender Statistics
−20.6%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+11.3%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+12.2%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+10.4%
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
−10.1%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
−7%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
−13.5%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
−10.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
−7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
−13.5%
Borrowed from family or friends (% age 15+)
Gender Statistics
+24.1%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
+17%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+33.5%
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+19.9%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
+10%
Used a credit card (% age 15+)
Gender Statistics
−19.4%
Used a credit card, women (% age 15+)
Gender Statistics
−12.2%
Used a credit card, men (% age 15+)
Gender Statistics
−26.7%
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
−3.3
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
+6.3%
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
+30.9%
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, possible and not difficult or somewhat difficult (% 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, 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
+13.3%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+23.3%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+2.9%
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
−0.3%
Made a utility payment, women (% age 15+)
Gender Statistics
+8.3%
Made a utility payment, men (% age 15+)
Gender Statistics
−8.7%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+16.4%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+22.1%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+10.1%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+16.4%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
+22.1%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+10.1%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+50.4%
Made a utility payment: using a mobile phone, women (% age 15+)
Gender Statistics
+57.7%
Made a utility payment: using a mobile phone, men (% age 15+)
Gender Statistics
+42.2%
Made a utility payment: using cash only (% age 15+)
Gender Statistics
−57.7%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
–
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
–
Received public sector wages, women (% age 15+)
Gender Statistics
−23.4%
Received public sector wages, men (% age 15+)
Gender Statistics
−19.7%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−22.1%
Received public sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−23.2%
Received public sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−21%
Received public sector wages: into an account (% age 15+)
Gender Statistics
−22.1%
Received public sector wages: into an account, women (% age 15+)
Gender Statistics
−23.2%
Received public sector wages: into an account, men (% age 15+)
Gender Statistics
−21%
Received wages: into an account (% age 15+)
Gender Statistics
+12.8%
Received wages: into an account, women (% age 15+)
Gender Statistics
+15.7%
Received wages: into an account, men (% age 15+)
Gender Statistics
+10.4%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+30.4%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+41.2%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+22.5%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+29.2%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
+41.2%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+12.8%
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
+28.2%
Received government transfer: into an account (% age 15+)
Gender Statistics
+20.3%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+18.4%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+22.1%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+20.6%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+18.5%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+22.7%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
+3%
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
+1.1%
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
+4.9%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+2.7%
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+0.9%
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+4.3%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
+3.2%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+2.5%
Made a digital payment (% age 15+)
Gender Statistics
+3.8%
Made a digital payment, men (% age 15+)
Gender Statistics
+1.5%
Received digital payments (% age 15+)
Gender Statistics
+9.1%
Received digital payments, women (% age 15+)
Gender Statistics
+8%
Received digital payments, men (% age 15+)
Gender Statistics
+10.1%
Saved any money (% age 15+)
Gender Statistics
+4.7%
Saved any money, women (% age 15+)
Gender Statistics
+9.1%
Saved any money, men (% age 15+)
Gender Statistics
+0.3%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
−2.9%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
−4.2%
Listed domestic companies, total
World Development Indicators
−3.2%
Stocks traded, total value (current US$)
World Development Indicators
−5.8%
Stocks traded, total value (% of GDP)
World Development Indicators
−7.1%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−5.2%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−12.7%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+1.8%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−30.1%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+1.8%
Broad money (% of GDP)
World Development Indicators
+2.4%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
+8%
Claims on central government, etc. (% GDP)
World Development Indicators
−5.5%
Domestic credit to private sector (% of GDP)
World Development Indicators
+1.8%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−1.5%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−2.3%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−0.3%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−1.3%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
−3.1%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−1.3%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
−1.3%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−1.3%
Official exchange rate (LCU per US$, period average)
World Development Indicators
+0.7%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+11.3%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+12.2%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+11.3%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
+10.5%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+10.4%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+51.3%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+6.6%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+22.1%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+10.7%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+18.6%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
+8%
Owns a debit card (% age 15+)
Global Findex database
−4.2%
Owns a debit card, female (% age 15+)
Global Findex database
−6.2%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
−3.5%
Owns a debit card, in labor force (% age 15+)
Global Findex database
−4.7%
Owns a debit card, male (% age 15+)
Global Findex database
−2.2%
Owns a debit card, young (% ages 15-24)
Global Findex database
−8.9%
Owns a debit card, older (% age 25+)
Global Findex database
−3.5%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
−5.7%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
−4.3%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
−5.5%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
−3.5%
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
+5.5%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
−12.2%
Borrowed any money, young (% ages 15-24)
Global Findex database
−20.9%
Borrowed any money, older (% age 25+)
Global Findex database
−4.8%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
−45.4%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−5.9%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
−4%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
−7.9%
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
−15%
Owns a credit card, older (% age 25+)
Global Findex database
−13.4%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
−52.3%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
−12.8%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
−10.1%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
−15.6%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+11.3%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+10.5%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
+51.3%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
+6.6%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+22.1%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+10.7%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+18.6%
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
+8%
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+6.7%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−16.9%
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
+6.7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
−16.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
−20.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−9.1%
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
−51.8%
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
−9.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
−6.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
−11.7%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
−20.9%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
−9.1%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
−51.8%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−9.8%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
−6.6%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−11.7%
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
+6.8%
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
+35.5%
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
−38.7%
Borrowed from family or friends, older (% age 25+)
Global Findex database
+66.7%
Borrowed from family or friends, primary education or less (% age 15+)
Global Findex database
+556.5%
Borrowed from family or friends, secondary education or more (% age 15+)
Global Findex database
+25.4%
Borrowed from family or friends, poorest 40% (% age 15+)
Global Findex database
+13.4%
Borrowed from family or friends, richest 60% (% age 15+)
Global Findex database
+34.3%
Used a credit card, out of laborforce (% age 15+)
Global Findex database
+0.1%
Used a credit card, in laborforce (% age 15+)
Global Findex database
−27.5%
Used a credit card, young (% ages 15-24)
Global Findex database
−44.1%
Used a credit card, older (% age 25+)
Global Findex database
−18%
Used a credit card, primary education or less (% age 15+)
Global Findex database
−51.8%
Used a credit card, secondary education or more (% age 15+)
Global Findex database
−18.7%
Used a credit card, poorest 40% (% age 15+)
Global Findex database
−14%
Used a credit card, richest 60% (% age 15+)
Global Findex database
−21.7%
Paid off all credit card balances in full by their due date, out of laborforce (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, in laborforce (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, young (% ages 15-24)
Global Findex database
–
Paid off all credit card balances in full by their due date, older (% age 25+)
Global Findex database
–
Paid off all credit card balances in full by their due date, primary education or less (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, secondary education or more (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, poorest 40% (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, richest 60% (% age 15+)
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
–
Coming up with emergency funds in 30 days: not possible, out of laborforce (% age 15+)
Global Findex database
−7.5%
Coming up with emergency funds in 30 days: not possible, in laborforce (% age 15+)
Global Findex database
−0.1%
Coming up with emergency funds in 30 days: not possible, young (% ages 15-24)
Global Findex database
+28.1%
Coming up with emergency funds in 30 days: not possible, older (% age 25+)
Global Findex database
−10.1%
Coming up with emergency funds in 30 days: not possible, primary education or less (% age 15+)
Global Findex database
+67.9%
Coming up with emergency funds in 30 days: not possible, secondary education or more (% age 15+)
Global Findex database
−6.2%
Coming up with emergency funds in 30 days: not possible, poorest 40% (% age 15+)
Global Findex database
−9%

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