Banking & Finance Statistics in South Korea

Explore trusted banking & finance data and trends for South Korea.

Monitly News
Korean share prices reach a record quarterly average• Corporate profits lift Korea’s nominal GDP• Korea’s exports reach a new high• Korean share prices reach a record quarterly average• Corporate profits lift Korea’s nominal GDP• Korea’s exports reach a new high

All Banking & Finance datasets for South Korea (750)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+6.6%
Financial Access Survey (FAS)
IMF
0%
Currency Composition of the International Investment Position (IIPCC)
IMF
+4.8%
Annual Purchasing Power Parities and exchange rates
OECD
+4.3%
Financial market
OECD
−4.5%
Monetary aggregates
OECD
+4.5%
Government Annual Financial Accounts (flows), non-consolidated
OECD
+412.9%
Households' Financial Assets and Liabilities
OECD
–
Institutional Investors' Indicators
OECD
−2.9%
Financial Dashboard
OECD
+12.9%
Financial indicators dashboard: Total economy
OECD
+29.2%
Financial indicators dashboard: Non-financial corporations
OECD
+12.9%
Financial indicators dashboard: Financial corporations
OECD
−65.7%
Financial indicators dashboard: Government
OECD
–
Financial indicators dashboard: Households and NPISH
OECD
+9.7%
Industrial countries' effective exchange rates - monthly data
Eurostat
−1.3%
Industrial countries' effective exchange rates - quarterly data
Eurostat
−2.2%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
−93.9%
Real effective exchange rate - euro area trading partners
Eurostat
−7%
Industrial countries' effective exchange rates - annual data
Eurostat
−4.2%
Venture capital investments (market statistics)
OECD
+0.4%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+6.6%
Investment: Credit to Agriculture
FAO
+3.8%
Currency Composition of the International Investment Position (IIPCC) 2026 April
IMF
−5.7%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+6.6%
Currency Composition of the International Investment Position (IIPCC) 2026 February
IMF
−5.7%
Financing SMEs and Entrepreneurs: An OECD Scoreboard
OECD
−26.7%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+6.6%
Currency Composition of the International Investment Position (IIPCC) 2026 January
IMF
−5.7%
Sustainable Bonds
IMF
–
Forward Looking Transition Risk Indicators
IMF
–
Balance sheet and income statement of insurance companies
OECD
−1.7%
Insurance business written by class of insurance
OECD
−41.8%
Insurance indicators
OECD
+9.5%
Insurance companies and employees
OECD
−0.4%
Working Paper Foreign Exchange Intervention (WPFXI) A Dataset of Public Data and Proxies
IMF
−85.7%
Official exchange rate, LCU per USD, period average
Global Economic Monitor
+3.9%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
+3.9%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
+3.9%
Stock Markets, US$
Global Economic Monitor
−6.1%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
+0.7%
Nominal Effecive Exchange Rate
Global Economic Monitor
−2.2%
Real Effective Exchange Rate
Global Economic Monitor
−1.4%
Total Reserves
Global Economic Monitor
−1.1%
Borrowed any money, women (% age 15+)
Gender Statistics
−3.7%
Borrowed any money, men (% age 15+)
Gender Statistics
+9.1%
Owns a credit card, men (% age 15+)
Gender Statistics
+16.6%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+7.5%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+3.4%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+12.7%
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
+8.7%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
−3.3%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
+21.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
+8.7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
−3.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
+21.1%
Borrowed from family or friends (% age 15+)
Gender Statistics
+9.9%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
+15.6%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+4.6%
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+55.6%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
−18.3%
Used a credit card (% age 15+)
Gender Statistics
+6.9%
Used a credit card, women (% age 15+)
Gender Statistics
−2.9%
Used a credit card, men (% age 15+)
Gender Statistics
+17.7%
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
−8.2
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
−31.4%
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
−91.8
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+13.7%
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: 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
−5.5%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
−6.7%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
−4.6%
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
−1.1%
Made a utility payment, women (% age 15+)
Gender Statistics
−5.8%
Made a utility payment, men (% age 15+)
Gender Statistics
+3.1%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+3.3%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−5.9%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+12.3%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+3.3%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
−5.9%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+12.3%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+148.1%
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
−59.4%
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: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+27.2%
Received public sector wages: into an account (% age 15+)
Gender Statistics
+27.2%
Received wages: into an account (% age 15+)
Gender Statistics
+22%
Received wages: into an account, women (% age 15+)
Gender Statistics
+23.7%
Received wages: into an account, men (% age 15+)
Gender Statistics
+19.8%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+21.3%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+32.1%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+12.5%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+20.9%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
+31.5%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+22.1%
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
+117.9%
Received government transfer: into an account (% age 15+)
Gender Statistics
+243.8%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+335.4%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+182.5%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+179.9%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+221.1%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+149.8%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
−2.9%
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
+6.7%
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
−10.2%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−4%
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
−10.9%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
+6%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+6.1%
Made a digital payment (% age 15+)
Gender Statistics
+6%
Made a digital payment, men (% age 15+)
Gender Statistics
+7.5%
Received digital payments (% age 15+)
Gender Statistics
+40.7%
Received digital payments, women (% age 15+)
Gender Statistics
+51.8%
Received digital payments, men (% age 15+)
Gender Statistics
+31.1%
Saved any money (% age 15+)
Gender Statistics
+1.3%
Saved any money, women (% age 15+)
Gender Statistics
−3%
Saved any money, men (% age 15+)
Gender Statistics
+6.2%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
−20.9%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
+17%
Listed domestic companies, total
World Development Indicators
+2.5%
Stocks traded, total value (current US$)
World Development Indicators
−7.8%
Stocks traded, total value (% of GDP)
World Development Indicators
+8.7%
Net financial flows, IBRD (NFL, current US$)
World Development Indicators
0
Net financial flows, IDA (NFL, current US$)
World Development Indicators
0
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−0.5%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−1.4%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+0.7%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−8.9%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+0.7%
Broad money (% of GDP)
World Development Indicators
+0.4%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
−7.4%
Claims on central government, etc. (% GDP)
World Development Indicators
+1,265.8%
Domestic credit to private sector (% of GDP)
World Development Indicators
+0.7%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−2.8%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−1.6%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−2%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−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
−8.5%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−0.6%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
−0.2%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−1.8%
Firms using banks to finance working capital (% of firms)
World Development Indicators
+16.2%
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
–
Firms using banks to finance investment (% of firms)
World Development Indicators
+16.2%
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
+4.4%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+7.5%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+3.4%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+12%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
+1.2%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+12.7%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+55.4%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+1.6%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+18.2%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+7.6%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+6.2%
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
−5.3%
Owns a debit card, female (% age 15+)
Global Findex database
−6.1%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
−5.9%
Owns a debit card, in labor force (% age 15+)
Global Findex database
−4.8%
Owns a debit card, male (% age 15+)
Global Findex database
−4.3%
Owns a debit card, young (% ages 15-24)
Global Findex database
−7.7%
Owns a debit card, older (% age 25+)
Global Findex database
−4.1%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
−10.1%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
−4.5%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
−3%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
−6.5%
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
–
Mobile money account, female (% age 15+)
Global Findex database
–
Mobile money account, urban (% 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
–
Mobile money account, rural (% age 15+)
Global Findex database
–
Borrowed any money, out of laborforce (% age 15+)
Global Findex database
−13.1%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
+5.5%
Borrowed any money, young (% ages 15-24)
Global Findex database
0%
Borrowed any money, older (% age 25+)
Global Findex database
+2.4%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
+18.5%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
+1.7%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
−3.9%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
+6.5%
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
+98.2%
Owns a credit card, older (% age 25+)
Global Findex database
+3.7%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
+42.5%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
+4.6%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
+1.4%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
+10.8%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+12%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+1.2%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
+55.4%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
+1.6%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+18.2%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+7.6%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+6.2%
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
−3.7%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+6.3%
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
−3.7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
+6.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+169.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+4.1%
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
+31.4%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, secondary education or more (% age 15+)
Global Findex database
+7.2%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
−1.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
+14.2%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
+169.8%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
+4.1%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+31.4%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+7.2%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
−1.6%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
+14.2%
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
−4.2%
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
+25.4%
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
−20.7%
Borrowed from family or friends, older (% age 25+)
Global Findex database
+26.8%
Borrowed from family or friends, primary education or less (% age 15+)
Global Findex database
+34.9%
Borrowed from family or friends, secondary education or more (% age 15+)
Global Findex database
+6.3%
Borrowed from family or friends, poorest 40% (% age 15+)
Global Findex database
+42.8%
Borrowed from family or friends, richest 60% (% age 15+)
Global Findex database
−6.4%
Used a credit card, out of laborforce (% age 15+)
Global Findex database
−7.8%
Used a credit card, in laborforce (% age 15+)
Global Findex database
+5.5%
Used a credit card, young (% ages 15-24)
Global Findex database
+167.6%
Used a credit card, older (% age 25+)
Global Findex database
+2.7%

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