Banking & Finance Statistics in the United States

Explore trusted banking & finance data and trends for the United States.

All Banking & Finance datasets for the United States (735)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
−0.2%
Financial Soundness Indicators (FSI), Concentration and Distribution Measures
IMF
−42.1%
Monetary and Financial Statistics (MFS): Financial Market Prices
IMF
+1.8%
Financial Access Survey (FAS)
IMF
−3.2%
Currency Composition of the International Investment Position (IIPCC)
IMF
+17.4%
Effective Exchange Rate (EER)
IMF
−0.1%
Annual Purchasing Power Parities and exchange rates
OECD
0%
Financial market
OECD
+0.7%
Monetary aggregates
OECD
+3.9%
Government Annual Financial Accounts (flows), consolidated
OECD
+268.4%
Government Quarterly Financial Accounts (flows), consolidated
OECD
+218.9%
Government Annual Financial Accounts (flows), non-consolidated
OECD
0
Households' Financial Assets and Liabilities
OECD
+17.1%
Institutional Investors' Indicators
OECD
−1.8%
Financial Dashboard
OECD
−16.4%
Financial indicators dashboard: Total economy
OECD
−34.6%
Financial indicators dashboard: Non-financial corporations
OECD
−16.4%
Financial indicators dashboard: Financial corporations
OECD
+138.8%
Financial indicators dashboard: Government
OECD
+15%
Financial indicators dashboard: Households and NPISH
OECD
+4.9%
Industrial countries' effective exchange rates - monthly data
Eurostat
+0.9%
Industrial countries' effective exchange rates - quarterly data
Eurostat
−2.9%
Real effective exchange rate - 42 trading partners
Eurostat
+0.8%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
−73.8%
Real effective exchange rate - euro area trading partners
Eurostat
−2.6%
Government bond yields, 10 years' maturity - monthly data
Eurostat
+2.9%
Money market interest rates - monthly data
Eurostat
0%
Industrial countries' effective exchange rates - annual data
Eurostat
−0.1%
Money market interest rates - quarterly data
Eurostat
+6.9%
Venture capital investments (market statistics)
OECD
+17.2%
Monetary and Financial Statistics (MFS), Financial Market Prices 2026 April
IMF
+1.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+5.4%
Special Purpose Entities (SPEs) 2026 April
IMF
−7.2%
Investment: Credit to Agriculture
FAO
+2.1%
Currency Composition of the International Investment Position (IIPCC) 2026 April
IMF
+18.9%
Effective Exchange Rates (ER) 2026 April
IMF
−0.1%
Government bond yields, 10 years' maturity - annual data
Eurostat
+2.7%
Money market interest rates - annual data
Eurostat
+138.5%
Monetary and Financial Statistics (MFS), Financial Market Prices 2026 February
IMF
+1.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+5.4%
Special Purpose Entities (SPEs) 2026 February
IMF
−7.2%
Currency Composition of the International Investment Position (IIPCC) 2026 February
IMF
−1.4%
Effective Exchange Rates (ER) 2026 February
IMF
−0.1%
Effective Exchange Rates (ER) 2026 January
IMF
−0.1%
Monetary and Financial Statistics (MFS), Financial Market Prices 2026 January
IMF
+1.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+5.4%
Special Purpose Entities (SPEs) 2026 January
IMF
−7.2%
Currency Composition of the International Investment Position (IIPCC) 2026 January
IMF
−1.4%
Sustainable Bonds
IMF
−29.5%
Forward Looking Transition Risk Indicators
IMF
–
Balance sheet and income statement of insurance companies
OECD
+8.4%
Insurance business written by class of insurance
OECD
−1.5%
Insurance indicators
OECD
0
Insurance companies and employees
OECD
−0.6%
Crypto-based Parallel Exchange Rates (Working Paper dataset WP-CPER)
IMF
−1%
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
0%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
0%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
0%
Stock Markets, US$
Global Economic Monitor
+9%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
−8.3%
Nominal Effecive Exchange Rate
Global Economic Monitor
+1.9%
Real Effective Exchange Rate
Global Economic Monitor
+1.8%
Total Reserves
Global Economic Monitor
−2.7%
Borrowed any money, women (% age 15+)
Gender Statistics
−1.2%
Borrowed any money, men (% age 15+)
Gender Statistics
−2.1%
Owns a credit card, men (% age 15+)
Gender Statistics
−3.5%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+4.4%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+1.8%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+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
−3.2%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
−0.4%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
−5.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
−3.2%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
−0.4%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
−5.8%
Borrowed from family or friends (% age 15+)
Gender Statistics
+18.6%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
+15.8%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+23%
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
−1.5%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
+44.9%
Used a credit card (% age 15+)
Gender Statistics
+1%
Used a credit card, women (% age 15+)
Gender Statistics
+4.8%
Used a credit card, men (% age 15+)
Gender Statistics
−2.6%
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
−5
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
−19%
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
−95
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+37.5%
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 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
+2.3%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+4.2%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+0.4%
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
−2.6%
Made a utility payment, women (% age 15+)
Gender Statistics
−5%
Made a utility payment, men (% age 15+)
Gender Statistics
+0.1%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+4%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+3.5%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+4.6%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+4%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
+3.5%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+4.6%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+9.8%
Made a utility payment: using a mobile phone, women (% age 15+)
Gender Statistics
+13.1%
Made a utility payment: using a mobile phone, men (% age 15+)
Gender Statistics
+6.7%
Made a utility payment: using cash only (% age 15+)
Gender Statistics
−50%
Received public sector wages, women (% age 15+)
Gender Statistics
−6.8%
Received public sector wages, men (% age 15+)
Gender Statistics
+18.9%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+8.4%
Received public sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−12.6%
Received public sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+35.4%
Received public sector wages: into an account (% age 15+)
Gender Statistics
+6.9%
Received public sector wages: into an account, women (% age 15+)
Gender Statistics
−14%
Received public sector wages: into an account, men (% age 15+)
Gender Statistics
+33.7%
Received wages: into an account (% age 15+)
Gender Statistics
+6.3%
Received wages: into an account, women (% age 15+)
Gender Statistics
+1.6%
Received wages: into an account, men (% age 15+)
Gender Statistics
+11.4%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+5.5%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+9%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+2.1%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+4.7%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
+6.2%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+6.4%
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
+34.5%
Received government transfer: into an account (% age 15+)
Gender Statistics
+27.8%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+12.4%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+45.6%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+39.2%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+39.1%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+39.2%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
−12.5%
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
−25.7%
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
+1%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−9.9%
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−21.7%
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+1.8%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
+2%
Made or received a digital payment, men (% age 15+)
Gender Statistics
−1.3%
Made a digital payment (% age 15+)
Gender Statistics
+2.6%
Made a digital payment, men (% age 15+)
Gender Statistics
−1.1%
Received digital payments (% age 15+)
Gender Statistics
+6.8%
Received digital payments, women (% age 15+)
Gender Statistics
+3.3%
Received digital payments, men (% age 15+)
Gender Statistics
+10.5%
Saved any money (% age 15+)
Gender Statistics
−0.9%
Saved any money, women (% age 15+)
Gender Statistics
+1.1%
Saved any money, men (% age 15+)
Gender Statistics
−2.9%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
+27%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
+20.6%
Listed domestic companies, total
World Development Indicators
−7.1%
Stocks traded, total value (current US$)
World Development Indicators
+14.3%
Stocks traded, total value (% of GDP)
World Development Indicators
+8.6%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
+3.6%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−2.1%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
−6.1%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−14.4%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
−6.1%
Broad money (% of GDP)
World Development Indicators
−4.5%
Claims on central government, etc. (% GDP)
World Development Indicators
+3.7%
Claims on other sectors of the domestic economy (% of GDP)
World Development Indicators
+2.6%
Domestic credit provided by financial sector (% of GDP)
World Development Indicators
+2.8%
Domestic credit to private sector (% of GDP)
World Development Indicators
+2.9%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
+4.7%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
+0.3%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
+4.1%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
+3.8%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
+60.7%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
+0.8%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
−6.5%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
+2.2%
Firms using banks to finance working capital (% of firms)
World Development Indicators
–
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
–
Firms using banks to finance investment (% of firms)
World Development Indicators
–
Firms that are fully credit constrained (% of firms)
World Development Indicators
–
Firms that are partially credit constrained (% of firms)
World Development Indicators
–
Official exchange rate (LCU per US$, period average)
World Development Indicators
0%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+4.4%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+1.8%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+22.6%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
−0.7%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+7%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+1.2%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+5%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
−43.5%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+5%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+6%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
+3.9%
Owns a debit card (% age 15+)
Global Findex database
+5.6%
Owns a debit card, female (% age 15+)
Global Findex database
−0.4%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+5.6%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+5.8%
Owns a debit card, male (% age 15+)
Global Findex database
+12.2%
Owns a debit card, young (% ages 15-24)
Global Findex database
+7.3%
Owns a debit card, older (% age 25+)
Global Findex database
+5.3%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+51.5%
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
+11.9%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
+1.7%
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
−7.4%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
+1.6%
Borrowed any money, young (% ages 15-24)
Global Findex database
−15.1%
Borrowed any money, older (% age 25+)
Global Findex database
+0.5%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
−9.9%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−1.8%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
−5.1%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
+0.2%
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
–
Owns a credit card, young (% ages 15-24)
Global Findex database
−5.4%
Owns a credit card, older (% age 25+)
Global Findex database
+2.4%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
−19.9%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
+1.9%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
+5.6%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
+0.3%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+22.6%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−0.7%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
+1.2%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
+5%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
−43.5%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+5%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+6%
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
+3.9%
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
−7.8%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−0.5%
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
−7.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
−0.5%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
−17.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−1.5%
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
−61.7%
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
−2.4%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
−9.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
−0.6%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
−17.6%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
−1.5%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
−61.7%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−2.4%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
−9.3%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−0.6%
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
+0.6%
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
+27.5%
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
−16.5%

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