Banking & Finance Statistics in Chile

Explore trusted banking & finance data and trends for Chile.

All Banking & Finance datasets for Chile (823)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+0.9%
Financial Access Survey (FAS)
IMF
0%
Effective Exchange Rate (EER)
IMF
−0.7%
Annual Purchasing Power Parities and exchange rates
OECD
+0.8%
Financial market
OECD
+0.4%
Monetary aggregates
OECD
+6.1%
Government Annual Financial Accounts (flows), non-consolidated
OECD
+7%
Households' Financial Assets and Liabilities
OECD
+1.7%
Institutional Investors' Indicators
OECD
−16.7%
Financial Dashboard
OECD
0%
Financial indicators dashboard: Total economy
OECD
−7.1%
Financial indicators dashboard: Non-financial corporations
OECD
0%
Financial indicators dashboard: Financial corporations
OECD
−11.6%
Financial indicators dashboard: Government
OECD
−11.7%
Financial indicators dashboard: Households and NPISH
OECD
+12.9%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
−2.1%
Investment: Credit to Agriculture
FAO
−0.8%
Effective Exchange Rates (ER) 2026 April
IMF
−0.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
−2.1%
Effective Exchange Rates (ER) 2026 February
IMF
−0.8%
Financing SMEs and Entrepreneurs: An OECD Scoreboard
OECD
+2.9
Effective Exchange Rates (ER) 2026 January
IMF
−0.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
−2.1%
Sustainable Bonds
IMF
−0.6%
Forward Looking Transition Risk Indicators
IMF
–
Balance sheet and income statement of insurance companies
OECD
+5.6%
Insurance business written by class of insurance
OECD
−10%
Insurance indicators
OECD
+4.9%
Insurance companies and employees
OECD
+6.4%
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
+1.1%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
+1.1%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
+1.1%
Stock Markets, US$
Global Economic Monitor
+25.7%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
−13.6%
Nominal Effecive Exchange Rate
Global Economic Monitor
−6.9%
Real Effective Exchange Rate
Global Economic Monitor
−7.7%
Total Reserves
Global Economic Monitor
−14.8%
Borrowed any money, women (% age 15+)
Gender Statistics
−9.1%
Borrowed any money, men (% age 15+)
Gender Statistics
+2%
Sent domestic remittances (% age 15+)
Gender Statistics
–
Sent domestic remittances, women (% age 15+)
Gender Statistics
–
Sent domestic remittances, men (% age 15+)
Gender Statistics
–
Sent or received domestic remittances (% age 15+)
Gender Statistics
–
Sent or received domestic remittances, women (% age 15+)
Gender Statistics
–
Sent or received domestic remittances, men (% age 15+)
Gender Statistics
–
Received domestic remittances (% age 15+)
Gender Statistics
–
Received domestic remittances, women (% age 15+)
Gender Statistics
–
Received domestic remittances, men (% age 15+)
Gender Statistics
–
Owns a credit card, men (% age 15+)
Gender Statistics
−6.6%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+47.1%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+49.2%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+45.7%
Saved using a savings club or a person outside the family (% age 15+)
Gender Statistics
−43.3%
Borrowed from a formal bank or similar financial institution (% age 15+)
Gender Statistics
−21.8%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
−32.5%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
−10.2%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
−21.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
−32.5%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
−10.2%
Borrowed from family or friends (% age 15+)
Gender Statistics
+36.4%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
+33.9%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+39.1%
Borrowed from a savings club (% age 15+)
Gender Statistics
−64.4%
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+24.3%
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
+27.3%
Used a credit card (% age 15+)
Gender Statistics
−22.4%
Used a credit card, women (% age 15+)
Gender Statistics
−38.2%
Used a credit card, men (% age 15+)
Gender Statistics
−1.8%
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
−14.8
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
−76%
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
−85.2
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+161.4%
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
+118.2%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+144.8%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+95.8%
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 digital online merchant payment for an online purchase, women (% age 15+)
Gender Statistics
–
Made a digital online merchant payment for an online purchase, men (% age 15+)
Gender Statistics
–
Sent domestic remittances: using an account (% age 15+)
Gender Statistics
–
Sent or received domestic remittances: using an account (% age 15+)
Gender Statistics
–
Received domestic remittances: into an account (% age 15+)
Gender Statistics
–
Made a utility payment (% age 15+)
Gender Statistics
+5.3%
Made a utility payment, women (% age 15+)
Gender Statistics
+9.4%
Made a utility payment, men (% age 15+)
Gender Statistics
+1.1%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+155.6%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+206.8%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+117%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+115.4%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
+139%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+95%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+245.1%
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
−46.2%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−45.1%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
−47.5%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+2%
Received public sector wages: into an account (% age 15+)
Gender Statistics
+1.5%
Received wages: into an account (% age 15+)
Gender Statistics
+21.3%
Received wages: into an account, women (% age 15+)
Gender Statistics
+19.5%
Received wages: into an account, men (% age 15+)
Gender Statistics
+22.9%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+43.2%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+31.6%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+52.3%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+25.9%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
+19.6%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+34.3%
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
–
Received government transfer: into an account (% age 15+)
Gender Statistics
+358.9%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+309%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+445.9%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+523.2%
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
+42.2%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+56.6%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
+2.3%
Made or received a digital payment (% age 15+)
Gender Statistics
+28.9%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+21%
Made a digital payment (% age 15+)
Gender Statistics
+37%
Made a digital payment, men (% age 15+)
Gender Statistics
+30.3%
Received digital payments (% age 15+)
Gender Statistics
+57.9%
Received digital payments, women (% age 15+)
Gender Statistics
+69.7%
Received digital payments, men (% age 15+)
Gender Statistics
+47%
Saved any money (% age 15+)
Gender Statistics
+18.1%
Saved any money, women (% age 15+)
Gender Statistics
+21.1%
Saved any money, men (% age 15+)
Gender Statistics
+15.7%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
−9%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
−7.6%
Listed domestic companies, total
World Development Indicators
+9.5%
Stocks traded, total value (current US$)
World Development Indicators
−4.4%
Stocks traded, total value (% of GDP)
World Development Indicators
−2.9%
Net official flows from UN agencies, FAO (current US$)
World Development Indicators
–
Net official flows from UN agencies, IAEA (current US$)
World Development Indicators
−35.2%
Net financial flows, IBRD (NFL, current US$)
World Development Indicators
+2,160.4%
Net financial flows, IDA (NFL, current US$)
World Development Indicators
0
IFC, private nonguaranteed (NFL, US$)
World Development Indicators
–
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
+1.2%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−5.3%
Borrowers from commercial banks (per 1,000 adults)
World Development Indicators
+1.4%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
−6.2%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−54.8%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
−6.2%
Broad money (% of GDP)
World Development Indicators
−11.5%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
−8.6%
Claims on central government, etc. (% GDP)
World Development Indicators
+12.4%
Claims on other sectors of the domestic economy (% of GDP)
World Development Indicators
−5.5%
Domestic credit provided by financial sector (% of GDP)
World Development Indicators
−2.7%
Domestic credit to private sector (% of GDP)
World Development Indicators
−5.6%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−12.8%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−4%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−0.5%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−1.6%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
−3.7%
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
−5.1%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−2.3%
Firms using banks to finance working capital (% of firms)
World Development Indicators
+12.7%
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
+15.3%
Firms using banks to finance investment (% of firms)
World Development Indicators
+54.2%
Official exchange rate (LCU per US$, period average)
World Development Indicators
+12.3%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+47.1%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+49.2%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+79.5%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
+28.1%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+45.7%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+160%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+30.5%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+88.6%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+43.9%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+97.7%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
+29.2%
Owns a debit card (% age 15+)
Global Findex database
+2.6%
Owns a debit card, female (% age 15+)
Global Findex database
+3.1%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+7.9%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+1.7%
Owns a debit card, male (% age 15+)
Global Findex database
+2%
Owns a debit card, young (% ages 15-24)
Global Findex database
+2.4%
Owns a debit card, older (% age 25+)
Global Findex database
+2.8%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+10%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
+1.3%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
−5.3%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
+7.5%
Owns a debit card, rural (% age 15+)
Global Findex database
–
Has access to the Internet (% age 15+)
Global Findex database
–
Mobile money account (% age 15+)
Global Findex database
+392.7%
Mobile money account, female (% age 15+)
Global Findex database
–
Mobile money account, out of labor force (% age 15+)
Global Findex database
–
Mobile money account, in labor force (% age 15+)
Global Findex database
–
Mobile money account, male (% age 15+)
Global Findex database
–
Mobile money account, young (% ages 15-24)
Global Findex database
–
Mobile money account, older (% age 25+)
Global Findex database
–
Mobile money account, primary education or less (% ages 15+)
Global Findex database
–
Mobile money account, secondary education or more (% ages 15+)
Global Findex database
–
Mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
–
Borrowed any money, out of laborforce (% age 15+)
Global Findex database
+5.7%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
−13%
Borrowed any money, young (% ages 15-24)
Global Findex database
+4.3%
Borrowed any money, older (% age 25+)
Global Findex database
−5.1%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
+9.6%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−6%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
+6.9%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
−9.2%
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
–
Sent domestic remittances, out of laborforce (% age 15+)
Global Findex database
–
Sent domestic remittances, in laborforce (% age 15+)
Global Findex database
–
Sent domestic remittances, young (% ages 15-24)
Global Findex database
–
Sent domestic remittances, older (% age 25+)
Global Findex database
–
Sent domestic remittances, primary education or less (% age 15+)
Global Findex database
–
Sent domestic remittances, secondary education or more (% age 15+)
Global Findex database
–
Sent domestic remittances, poorest 40% (% age 15+)
Global Findex database
–
Sent domestic remittances, richest 60% (% age 15+)
Global Findex database
–
Sent or received domestic remittances, out of laborforce (% age 15+)
Global Findex database
–
Sent or received domestic remittances, in laborforce (% age 15+)
Global Findex database
–
Sent or received domestic remittances, young (% ages 15-24)
Global Findex database
–
Sent or received domestic remittances, older (% age 25+)
Global Findex database
–
Sent or received domestic remittances, primary education or less (% age 15+)
Global Findex database
–
Sent or received domestic remittances, secondary education or more (% age 15+)
Global Findex database
–
Sent or received domestic remittances, poorest 40% (% age 15+)
Global Findex database
–
Sent or received domestic remittances, richest 60% (% age 15+)
Global Findex database
–
Received domestic remittances, out of laborforce (% age 15+)
Global Findex database
–
Received domestic remittances, in laborforce (% age 15+)
Global Findex database
–
Received domestic remittances, young (% ages 15-24)
Global Findex database
–
Received domestic remittances, older (% age 25+)
Global Findex database
–
Received domestic remittances, primary education or less (% age 15+)
Global Findex database
–
Received domestic remittances, secondary education or more (% age 15+)
Global Findex database
–
Received domestic remittances, poorest 40% (% age 15+)
Global Findex database
–
Received domestic remittances, richest 60% (% age 15+)
Global Findex database
–
Owns a credit card, young (% ages 15-24)
Global Findex database
−2.2%
Owns a credit card, older (% age 25+)
Global Findex database
−20.1%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
−53.1%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
−13.3%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
−15.5%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
−19.9%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+79.5%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+28.1%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
+160%

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