Banking & Finance Statistics in Switzerland

Explore trusted banking & finance data and trends for Switzerland.

All Banking & Finance datasets for Switzerland (760)

Dataset
Financial Access Survey (FAS)
IMF
−2.2%
Currency Composition of the International Investment Position (IIPCC)
IMF
+12.1%
Effective Exchange Rate (EER)
IMF
+3.7%
Annual Purchasing Power Parities and exchange rates
OECD
−5.6%
Financial market
OECD
+0.5%
Monetary aggregates
OECD
+4.5%
Government Annual Financial Accounts (flows), consolidated
OECD
+10.5%
Government Annual Financial Accounts (flows), non-consolidated
OECD
+10.5%
Households' Financial Assets and Liabilities
OECD
−36.7%
Institutional Investors' Indicators
OECD
+0.5%
Financial Dashboard
OECD
+236.3%
Financial indicators dashboard: Total economy
OECD
−5.1%
Financial indicators dashboard: Non-financial corporations
OECD
+236.3%
Financial indicators dashboard: Financial corporations
OECD
−57%
Financial indicators dashboard: Government
OECD
+0.2
Financial indicators dashboard: Households and NPISH
OECD
−5.8%
Industrial countries' effective exchange rates - monthly data
Eurostat
+0.6%
Industrial countries' effective exchange rates - quarterly data
Eurostat
+0.2%
Real effective exchange rate - 42 trading partners
Eurostat
−0.8%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
+16.1%
Real effective exchange rate - euro area trading partners
Eurostat
−1.1%
Gross debt-to-income ratio of households
Eurostat
−1.5%
Industrial countries' effective exchange rates - annual data
Eurostat
+2%
Generation and discharge of wastewater in volume
Eurostat
+7%
Venture capital investments (market statistics)
OECD
+29.5%
Special Purpose Entities (SPEs) 2026 April
IMF
−11%
Individuals using the internet for internet banking
Eurostat
+2.3%
Investment: Credit to Agriculture
FAO
+2.2%
Currency Composition of the International Investment Position (IIPCC) 2026 April
IMF
+18.5%
Effective Exchange Rates (ER) 2026 April
IMF
+3.7%
Special Purpose Entities (SPEs) 2026 February
IMF
−11%
Currency Composition of the International Investment Position (IIPCC) 2026 February
IMF
−3.5%
Effective Exchange Rates (ER) 2026 February
IMF
+3.7%
Effective Exchange Rates (ER) 2026 January
IMF
+3.7%
Special Purpose Entities (SPEs) 2026 January
IMF
−11%
Currency Composition of the International Investment Position (IIPCC) 2026 January
IMF
−3.5%
Sustainable Bonds
IMF
−20.1%
Forward Looking Transition Risk Indicators
IMF
–
Balance sheet and income statement of insurance companies
OECD
+13.5%
Insurance business written by class of insurance
OECD
+8.3%
Insurance indicators
OECD
0%
Insurance companies and employees
OECD
+5.5%
Crypto-based Parallel Exchange Rates (Working Paper dataset WP-CPER)
IMF
0%
Working Paper Foreign Exchange Intervention (WPFXI) A Dataset of Public Data and Proxies
IMF
0%
Official exchange rate, LCU per USD, period average
Global Economic Monitor
−5.2%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
−5.2%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
−5.2%
Stock Markets, US$
Global Economic Monitor
+9.8%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
+2.5%
Nominal Effecive Exchange Rate
Global Economic Monitor
+2.6%
Real Effective Exchange Rate
Global Economic Monitor
+1.4%
Total Reserves
Global Economic Monitor
+3.4%
Borrowed any money, women (% age 15+)
Gender Statistics
+6.4%
Borrowed any money, men (% age 15+)
Gender Statistics
−1.1%
Owns a credit card, men (% age 15+)
Gender Statistics
+5%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
−5.5%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+1%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
−11.3%
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
−1.6%
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
−5.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
−1.6%
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
−5.6%
Borrowed from family or friends (% age 15+)
Gender Statistics
+21.2%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
–
Borrowed from family or friends, men (% age 15+)
Gender Statistics
–
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+231.6%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
+403.9%
Used a credit card (% age 15+)
Gender Statistics
−3.6%
Used a credit card, women (% age 15+)
Gender Statistics
+1.1%
Used a credit card, men (% age 15+)
Gender Statistics
−7.5%
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
−10.3
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
−39.7%
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
−89.7
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+9.7%
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: loan from a bank, employer, or private lender, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, men (% 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
–
Used a mobile phone or the internet to pay bills (% age 15+)
Gender Statistics
+11.2%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+19.3%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+3.9%
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
+4.5%
Made a utility payment, women (% age 15+)
Gender Statistics
+4%
Made a utility payment, men (% age 15+)
Gender Statistics
+5%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+12.1%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+8.7%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+15.6%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+12.1%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
+8.7%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+15.6%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+157.8%
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
−32.2%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−15.8%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
−27.3%
Received public sector wages, women (% age 15+)
Gender Statistics
−24.3%
Received public sector wages, men (% age 15+)
Gender Statistics
−30.4%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−32.7%
Received public sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−23.3%
Received public sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−25.9%
Received public sector wages: into an account (% age 15+)
Gender Statistics
−32.3%
Received public sector wages: into an account, women (% age 15+)
Gender Statistics
−23.3%
Received public sector wages: into an account, men (% age 15+)
Gender Statistics
−29%
Received wages: into an account (% age 15+)
Gender Statistics
−21.7%
Received wages: into an account, women (% age 15+)
Gender Statistics
−23.3%
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
−20.6%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−22.4%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−18.5%
Received private sector wages: into an account (% age 15+)
Gender Statistics
−18.6%
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
−23.3%
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
−45.1%
Received government transfer: into an account (% age 15+)
Gender Statistics
−50.3%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
−1.1%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
−29.5%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−51.3%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−1.1%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−30.7%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
−45.2%
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
−56.5%
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
−29.5%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−48.6%
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−56.6%
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−37.7%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
+1.8%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+2.1%
Made a digital payment (% age 15+)
Gender Statistics
+2.9%
Made a digital payment, men (% age 15+)
Gender Statistics
+2.4%
Received digital payments (% age 15+)
Gender Statistics
−31.8%
Received digital payments, women (% age 15+)
Gender Statistics
−35.4%
Received digital payments, men (% age 15+)
Gender Statistics
−27.8%
Saved any money (% age 15+)
Gender Statistics
+1.3%
Saved any money, women (% age 15+)
Gender Statistics
+2.4%
Saved any money, men (% age 15+)
Gender Statistics
+0.3%
Arrears on non-housing bills by risk of poverty threshold
Eurostat
–
Arrears on non-housing bills by income quintile
Eurostat
–
Loans (excluding mortgages on purchase of main residence) by risk of poverty threshold
Eurostat
–
Loans (excluding mortgages on purchase of main residence) by income quintile
Eurostat
–
Persons with loans for property purposes by risk of poverty threshold
Eurostat
–
Persons with loans for transport purposes by risk of poverty threshold
Eurostat
–
Persons with loans for education purposes by risk of poverty threshold
Eurostat
–
Persons with loans to cover daily living expenses by risk of poverty threshold
Eurostat
–
Persons with loans for purposes other than property, transport, education and daily living expenses by risk of poverty threshold
Eurostat
–
Savings in a typical month by household habits and risk of poverty threshold
Eurostat
–
Savings in a typical month by household habits and income quintile
Eurostat
–
Persons owning real estate other than main residence by risk of poverty threshold
Eurostat
–
Persons owning real estate other than main residence by income quantile
Eurostat
–
Market capitalization of listed domestic companies (current US$)
World Development Indicators
−3.6%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
−7.9%
Listed domestic companies, total
World Development Indicators
−3.3%
Stocks traded, total value (current US$)
World Development Indicators
−6.5%
Stocks traded, total value (% of GDP)
World Development Indicators
−10.7%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−4.6%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−2.7%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+2.2%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+2.2%
Broad money (% of GDP)
World Development Indicators
+1.8%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
+15.5%
Claims on central government, etc. (% GDP)
World Development Indicators
−2%
Domestic credit to private sector (% of GDP)
World Development Indicators
+2.2%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−1.2%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−1.4%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−0.8%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−1%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
+1.5%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−1.6%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
−1.9%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−1.1%
Official exchange rate (LCU per US$, period average)
World Development Indicators
−2%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
−5.5%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+1%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+11.6%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
−9.1%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
−11.3%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+152.8%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−14.4%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+3.7%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
−10.9%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+14.9%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
−17%
Owns a debit card (% age 15+)
Global Findex database
+1.2%
Owns a debit card, female (% age 15+)
Global Findex database
+1.6%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+2.2%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+0.6%
Owns a debit card, male (% age 15+)
Global Findex database
+0.8%
Owns a debit card, young (% ages 15-24)
Global Findex database
−5.2%
Owns a debit card, older (% age 25+)
Global Findex database
+1.9%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+3.9%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
−0.2%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
−3.8%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
+4.5%
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
+17.3%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
−5.1%
Borrowed any money, young (% ages 15-24)
Global Findex database
+232.7%
Borrowed any money, older (% age 25+)
Global Findex database
−7.7%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
+26.3%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−7.9%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
+16%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
−5.6%
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
+297%
Owns a credit card, older (% age 25+)
Global Findex database
−3.8%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
+28.9%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
−5.1%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
+16.9%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
−0.7%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+11.6%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−9.1%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
+152.8%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
−14.4%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+3.7%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−10.9%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+14.9%
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−17%
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+15.4%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−10.7%
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
+15.4%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
−10.7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+439.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−11.8%
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
+19.1%
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
−11.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
+15.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
−11.2%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
+439.1%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
−11.8%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+19.1%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−11.6%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+15.6%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−11.2%
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
–
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
–
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
–
Borrowed from family or friends, older (% age 25+)
Global Findex database
–
Borrowed from family or friends, primary education or less (% age 15+)
Global Findex database
–

Showing the 300 most recently updated of 760. Search all

Track Banking & Finance in Switzerland

Get instant alerts when new banking & finance data is published.

Start today