Banking & Finance Statistics in Libya

Explore trusted banking & finance data and trends for Libya.

All Banking & Finance datasets for Libya (852)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
−20.3%
Financial Access Survey (FAS)
IMF
+11.1%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
−20.3%
Investment: Credit to Agriculture
FAO
+21.9%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
−20.3%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
−20.3%
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
+8.8%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
+8.8%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
+8.8%
Total Reserves
Global Economic Monitor
−10.5%
Borrowed any money, women (% age 15+)
Gender Statistics
−38.2%
Borrowed any money, men (% age 15+)
Gender Statistics
−18.5%
Digitally enabled account (% age 15+)
Gender Statistics
–
Digitally enabled account, women (% age 15+)
Gender Statistics
–
Digitally enabled account, men (% age 15+)
Gender Statistics
–
Owns a credit card, men (% age 15+)
Gender Statistics
–
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
−7.1%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+42.7%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
−23.7%
Saved using a savings club or a person outside the family (% age 15+)
Gender Statistics
+9.9
Made regular payments to insurance agent or company (% age 15+)
Gender Statistics
–
Made regular payments to insurance agent or company , women (% age 15+)
Gender Statistics
–
Made regular payments to insurance agent or company , men (% age 15+)
Gender Statistics
–
Borrowed from a formal bank or similar financial institution (% age 15+)
Gender Statistics
+45.2%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
–
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
+45.2%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
–
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
–
Borrowed from family or friends (% age 15+)
Gender Statistics
−33.2%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
−45.6%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
−20.7%
Borrowed from a savings club (% age 15+)
Gender Statistics
+2.1
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
−9.8%
Borrowed for health or medical purposes, women (% age 15+)
Gender Statistics
−4.6%
Borrowed for health or medical purposes, men (% age 15+)
Gender Statistics
−13%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
−40%
Purchased food on credit (% age 15+)
Gender Statistics
–
Used a credit card (% age 15+)
Gender Statistics
+61.5%
Paid off all credit card balances in full by their due date (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: not possible (% age 15+)
Gender Statistics
−98%
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
–
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
+41.1%
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+59.3%
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
–
Less than two weeks can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Gender Statistics
–
Less than two weeks can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Gender Statistics
–
Less than two weeks can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Gender Statistics
–
About one month can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Gender Statistics
–
About one month can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Gender Statistics
–
About one month can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Gender Statistics
–
About two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Gender Statistics
–
About two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Gender Statistics
–
About two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Gender Statistics
–
More than two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Gender Statistics
–
More than two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Gender Statistics
–
More than two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, 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: sale of assets, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: sale of assets, men (% 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 mobile phone or card to pay for in-store purchase (% age 15+)
Gender Statistics
–
Used mobile phone or card to pay for in-store purchase, women (% age 15+)
Gender Statistics
–
Used mobile phone or card to pay for in-store purchase, men (% age 15+)
Gender Statistics
–
Did NOT use mobile phone or card to pay for in-store purchase (% age 15+)
Gender Statistics
–
Did NOT use mobile phone or card to pay for in-store purchase , women (% age 15+)
Gender Statistics
–
Did NOT use mobile phone or card to pay for in-store purchase , men (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to pay bills (% age 15+)
Gender Statistics
+3.3%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
−20%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+23.2%
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
–
Used a card or mobile phone to make payments (% age 15+)
Gender Statistics
–
Used a card or mobile phone to make payments, women (% age 15+)
Gender Statistics
–
Used a card or mobile phone to make payments, men (% age 15+)
Gender Statistics
–
Made a utility payment (% age 15+)
Gender Statistics
–
Made a utility payment, women (% age 15+)
Gender Statistics
–
Made a utility payment, men (% age 15+)
Gender Statistics
–
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Made a utility payment: using an account (% age 15+)
Gender Statistics
–
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
–
Made a utility payment: using cash only (% age 15+)
Gender Statistics
–
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
–
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
–
Received public sector wages, women (% age 15+)
Gender Statistics
–
Received public sector wages, men (% age 15+)
Gender Statistics
–
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received public sector wages: into an account (% age 15+)
Gender Statistics
–
Received wages: into an account (% age 15+)
Gender Statistics
–
Received wages: into an account, women (% age 15+)
Gender Statistics
–
Received wages: into an account, men (% age 15+)
Gender Statistics
–
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received private sector wages: into an account (% age 15+)
Gender Statistics
–
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received wages: in cash only, men (% age 15+)
Gender Statistics
–
Received government transfer: into an account (% age 15+)
Gender Statistics
–
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
Received a public sector pension: into an account (% age 15+)
Gender Statistics
–
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
–
First bank or similar financial institution account ever was opened to receive a wage payment or money from the government (% age 15+)
Gender Statistics
–
First bank or similar financial institution account ever was opened to receive a wage payment or money from the government, women (% age 15+)
Gender Statistics
–
First bank or similar financial institution account ever was opened to receive a wage payment or money from the government, men (% age 15+)
Gender Statistics
–
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
–
Most worrying financial issue: money for old age (% age 15+)
Gender Statistics
–
Most worrying financial issue: money for old age, men (% age 15+)
Gender Statistics
–
Most worrying financial issue: paying for medical costs in case of a serious illness or accident (% age 15+)
Gender Statistics
–
Most worrying financial issue: paying for medical costs in case of a serious illness or accident, women (% age 15+)
Gender Statistics
–
Most worrying financial issue: paying for medical costs in case of a serious illness or accident, men (% age 15+)
Gender Statistics
–
Most worrying financial issue: money to pay for monthly expenses or bills (% age 15+)
Gender Statistics
–
Most worrying financial issue: money to pay for monthly expenses or bills, women (% age 15+)
Gender Statistics
–
Most worrying financial issue: money to pay for monthly expenses or bills, men (% age 15+)
Gender Statistics
–
Most worrying financial issue: paying school or education fees (% age 15+)
Gender Statistics
–
Most worrying financial issue: paying school or education fees, women (% age 15+)
Gender Statistics
–
Most worrying financial issue: paying school or education fees, men (% age 15+)
Gender Statistics
–
Made or received a digital payment (% age 15+)
Gender Statistics
−26.3%
Made or received a digital payment, men (% age 15+)
Gender Statistics
−16.6%
Made a digital payment (% age 15+)
Gender Statistics
–
Made a digital payment, men (% age 15+)
Gender Statistics
–
Received digital payments (% age 15+)
Gender Statistics
–
Received digital payments, women (% age 15+)
Gender Statistics
–
Received digital payments, men (% age 15+)
Gender Statistics
–
Saved any money (% age 15+)
Gender Statistics
−39.7%
Saved any money, women (% age 15+)
Gender Statistics
−32.8%
Saved any money, men (% age 15+)
Gender Statistics
−43.9%
Net official flows from UN agencies, CERF (current US$)
World Development Indicators
+166.1%
Net official flows from UN agencies, FAO (current US$)
World Development Indicators
−28.4%
Net official flows from UN agencies, IAEA (current US$)
World Development Indicators
+1,057.5%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
+49.5%
Commercial bank branches (per 100,000 adults)
World Development Indicators
+1%
Borrowers from commercial banks (per 1,000 adults)
World Development Indicators
−5%
Depositors with commercial banks (per 1,000 adults)
World Development Indicators
+18.2%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+13.4%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−2.1%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+13.7%
Broad money (% of GDP)
World Development Indicators
−67.4%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
0%
Claims on central government, etc. (% GDP)
World Development Indicators
−142.2%
Domestic credit to private sector (% of GDP)
World Development Indicators
+13.7%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−48.5%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−58.6%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−41.4%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−45.9%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
−48.7%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−48.7%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
−63.1%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−49.6%
Official exchange rate (LCU per US$, period average)
World Development Indicators
+0.4%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
−7.1%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+42.7%
Saved at a financial institution or using a mobile money account, urban (% age 15+)
Global Findex database
–
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+43.2%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
−3.1%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
−23.7%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
−6.2%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−7.4%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+2.3%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
−6%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+4.5%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
−11.2%
Saved at a financial institution or using a mobile money account, rural (% age 15+)
Global Findex database
–
Owns a debit card (% age 15+)
Global Findex database
+12.5%
Owns a debit card, female (% age 15+)
Global Findex database
−12.2%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
−12.7%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+40.7%
Owns a debit card, male (% age 15+)
Global Findex database
+35.2%
Owns a debit card, young (% ages 15-24)
Global Findex database
−35.5%
Owns a debit card, older (% age 25+)
Global Findex database
+29.7%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+124.8%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
+10.2%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
+29.4%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
+5.1%
Owns a debit card, rural (% age 15+)
Global Findex database
–
Has access to the Internet (% age 15+)
Global Findex database
–
Made a digital merchant payment (% age 15+)
Global Findex database
–
Made a digital merchant payment, female (% age 15+)
Global Findex database
–
Made a digital merchant payment, urban (% age 15+)
Global Findex database
–
Made a digital merchant payment, out of labor force (% age 15+)
Global Findex database
–
Made a digital merchant payment, in labor force (% age 15+)
Global Findex database
–
Made a digital merchant payment, male (% age 15+)
Global Findex database
–
Made a digital merchant payment, young (% ages 15-24)
Global Findex database
–
Made a digital merchant payment, older (% age 25+)
Global Findex database
–
Made a digital merchant payment, primary education or less (% ages 15+)
Global Findex database
–
Made a digital merchant payment, secondary education or more (% ages 15+)
Global Findex database
–
Made a digital merchant payment, income, poorest 40% (% ages 15+)
Global Findex database
–
Made a digital merchant payment, income, richest 60% (% ages 15+)
Global Findex database
–
Made a digital merchant payment, rural (% age 15+)
Global Findex database
–
Borrowed any money, urban (% age 15+)
Global Findex database
–
Borrowed any money, out of laborforce (% age 15+)
Global Findex database
−37.4%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
−18.8%
Borrowed any money, young (% ages 15-24)
Global Findex database
−38.2%
Borrowed any money, older (% age 25+)
Global Findex database
−23.9%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
−36.9%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−26.4%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
−22.9%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
−31.8%
Borrowed any money, rural (% age 15+)
Global Findex database
–
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
–
Main mobile phone is a basic text phone, urban (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, out of laborforce (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, in laborforce (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, young (% ages 15-24)
Global Findex database
–
Main mobile phone is a basic text phone, older (% age 25+)
Global Findex database
–
Main mobile phone is a basic text phone, primary education or less (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, secondary education or more (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, poorest 40% (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, richest 60% (% age 15+)
Global Findex database
–
Main mobile phone is a basic text phone, rural (% age 15+)
Global Findex database
–
Digitally enabled account, urban (% age 15+)
Global Findex database
–
Digitally enabled account, out of laborforce (% age 15+)
Global Findex database
–
Digitally enabled account, in laborforce (% age 15+)
Global Findex database
–
Digitally enabled account, young (% ages 15-24)
Global Findex database
–
Digitally enabled account, older (% age 25+)
Global Findex database
–
Digitally enabled account, primary education or less (% age 15+)
Global Findex database
–
Digitally enabled account, secondary education or more (% age 15+)
Global Findex database
–
Digitally enabled account, poorest 40% (% age 15+)
Global Findex database
–
Digitally enabled account, richest 60% (% age 15+)
Global Findex database
–
Digitally enabled account, rural (% age 15+)
Global Findex database
–
Owns a credit card, young (% ages 15-24)
Global Findex database
–
Owns a credit card, older (% age 25+)
Global Findex database
–
Owns a credit card, primary education or less (% age 15+)
Global Findex database
–
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
–
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
–
Owns a credit card, richest 60% (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, urban (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+43.2%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−3.1%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
−6.2%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
−7.4%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+2.3%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−6%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+4.5%
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−11.2%
Saved at a bank or similar financial institution, rural (% age 15+)
Global Findex database
–
Received interest or additional money for savings in account in the past 12 months (% age 15+)
Global Findex database
–
Saved for old age (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , urban (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , out of laborforce (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , in laborforce (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , young (% ages 15-24)
Global Findex database
–
Made regular payments to insurance agent or company , older (% age 25+)
Global Findex database
–
Made regular payments to insurance agent or company , primary education or less (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , secondary education or more (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , poorest 40% (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , richest 60% (% age 15+)
Global Findex database
–
Made regular payments to insurance agent or company , rural (% age 15+)
Global Findex database
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Applied for a loan using a mobile phone (% age 15+)
Global Findex database
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Received loan using a mobile phone (% age 15+)
Global Findex database
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