Banking & Finance Statistics in the United Arab Emirates

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

All Banking & Finance datasets for the United Arab Emirates (703)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+19%
Financial Access Survey (FAS)
IMF
0%
Effective Exchange Rate (EER)
IMF
+5.9%
Borrowed any money, women (% age 15+)
Gender Statistics
−33%
Borrowed any money, men (% age 15+)
Gender Statistics
−31.7%
Owns a credit card, men (% age 15+)
Gender Statistics
−44%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
−64%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
−85.5%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
−58%
Saved money using a mobile money account (% age 15+)
Gender Statistics
–
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
−51.3%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
−49.7%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
−51.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
−48.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
−47.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
−48.4%
Borrowed from family or friends (% age 15+)
Gender Statistics
−10.4%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
−27.5%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
−5.2%
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+5.5%
Borrowed for health or medical purposes, women (% age 15+)
Gender Statistics
−33.2%
Borrowed for health or medical purposes, men (% age 15+)
Gender Statistics
+13.9%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
−20.3%
Used a credit card (% age 15+)
Gender Statistics
−50.1%
Used a credit card, women (% age 15+)
Gender Statistics
−44.8%
Used a credit card, men (% age 15+)
Gender Statistics
−51.6%
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
−61.8%
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
−87%
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
+57%
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+101.3%
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
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: sale of assets (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
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
−64.5%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
−69.9%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
−62.8%
Used a mobile phone or the internet to buy something online (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online, women (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online, men (% age 15+)
Gender Statistics
–
Made a digital online merchant payment for an online purchase (% age 15+)
Gender Statistics
–
Made a utility payment (% age 15+)
Gender Statistics
−42.9%
Made a utility payment, women (% age 15+)
Gender Statistics
−41.9%
Made a utility payment, men (% age 15+)
Gender Statistics
−43.3%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
−55.6%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−71.1%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−52%
Made a utility payment: using an account (% age 15+)
Gender Statistics
−53%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
−64.3%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
−50.2%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
−43.4%
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
−40.3%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−17.2%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
−46.7%
Received public sector wages, women (% age 15+)
Gender Statistics
+90.2%
Received public sector wages, men (% age 15+)
Gender Statistics
+19.9%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−82.2%
Received public sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
–
Received public sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
–
Received public sector wages: into an account (% age 15+)
Gender Statistics
−80%
Received public sector wages: into an account, women (% age 15+)
Gender Statistics
+142.4%
Received public sector wages: into an account, men (% age 15+)
Gender Statistics
+24.9%
Received wages: into an account (% age 15+)
Gender Statistics
−76.1%
Received wages: into an account, women (% age 15+)
Gender Statistics
−84.7%
Received wages: into an account, men (% age 15+)
Gender Statistics
−74.1%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−77.7%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−85.2%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−76.1%
Received private sector wages: into an account (% age 15+)
Gender Statistics
−75.1%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
−85.2%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−78.7%
Received wages: in cash only, men (% age 15+)
Gender Statistics
–
Received government transfer: into an account (% age 15+)
Gender Statistics
−0.4%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−5.3%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
+82.5%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+61.5%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
−8.8%
Made or received a digital payment, men (% age 15+)
Gender Statistics
−15%
Made a digital payment (% age 15+)
Gender Statistics
−1.7%
Made a digital payment, men (% age 15+)
Gender Statistics
−7.8%
Received digital payments (% age 15+)
Gender Statistics
−73.4%
Received digital payments, women (% age 15+)
Gender Statistics
−78.2%
Received digital payments, men (% age 15+)
Gender Statistics
−72.3%
Saved any money (% age 15+)
Gender Statistics
−40.9%
Saved any money, women (% age 15+)
Gender Statistics
−60.2%
Saved any money, men (% age 15+)
Gender Statistics
−34.2%
Borrowed any money (% age 15+)
Gender Statistics
−31.9%
Bank or similar financial institution account (% age 15+)
Gender Statistics
−3.2%
Bank or similar financial institution account, women (% age 15+)
Gender Statistics
+15.1%
Bank or similar financial institution account, men (% age 15+)
Gender Statistics
−8.8%
Owns a credit card (% age 15+)
Gender Statistics
−40.9%
Owns a credit card, women (% age 15+)
Gender Statistics
−30.4%
Coming up with emergency funds in 30 days: not possible, men (% age 15+)
Gender Statistics
−50.8%
Coming up with emergency funds in 30 days: possible, men (% age 15+)
Gender Statistics
+42.9%
Received wages, men (% age 15+)
Gender Statistics
−53.9%
Received public sector wages (% age 15+)
Gender Statistics
−66.3%
Received private sector wages: into an account, men (% age 15+)
Gender Statistics
−72.7%
Received wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
−84.5%
Received wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−77.4%
Made or received a digital payment, women (% age 15+)
Gender Statistics
+13%
Made a digital payment, women (% age 15+)
Gender Statistics
+18.7%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
+5.4%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
+0.3%
Listed domestic companies, total
World Development Indicators
−0.6%
Stocks traded, total value (current US$)
World Development Indicators
+25%
Stocks traded, total value (% of GDP)
World Development Indicators
+2.4%
Stocks traded, turnover ratio of domestic shares (%)
World Development Indicators
+2%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
+0.9%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−5.6%
Borrowers from commercial banks (per 1,000 adults)
World Development Indicators
+5.8%
Depositors with commercial banks (per 1,000 adults)
World Development Indicators
+13.6%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+2.9%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−3.6%
Total reserves (includes gold, current US$)
World Development Indicators
+22.9%
Total reserves in months of imports
World Development Indicators
+1.1%
Total reserves minus gold (current US$)
World Development Indicators
+21.7%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+2.9%
Broad money (% of GDP)
World Development Indicators
+8.3%
Claims on central government, etc. (% GDP)
World Development Indicators
−8%
Claims on other sectors of the domestic economy (% of GDP)
World Development Indicators
−14.2%
Domestic credit provided by financial sector (% of GDP)
World Development Indicators
−21.3%
Domestic credit to private sector (% of GDP)
World Development Indicators
−14.1%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
+0.5%
Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+)
World Development Indicators
−4.8%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
+13.4%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−7.9%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−3.9%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
+7.2%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−2.8%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
+31.9%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−2.8%
Official exchange rate (LCU per US$, period average)
World Development Indicators
0%
Official exchange rate, LCU per USD, period average
Global Economic Monitor
0%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
0%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
0%
Stock Markets, US$
Global Economic Monitor
+30.5%
Nominal Effecive Exchange Rate
Global Economic Monitor
+2.5%
Total Reserves
Global Economic Monitor
−9.1%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+14.5%
Investment: Credit to Agriculture
FAO
+6.4%
Effective Exchange Rates (ER) 2026 April
IMF
−0.1%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+14.5%
Effective Exchange Rates (ER) 2026 February
IMF
−0.1%
Effective Exchange Rates (ER) 2026 January
IMF
−0.1%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+14.5%
Sustainable Bonds
IMF
−42.3%
Working Paper Foreign Exchange Intervention (WPFXI) A Dataset of Public Data and Proxies
IMF
0%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
−62.4%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
−82.3%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
−69.1%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
−55.1%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
−56.9%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
−55.2%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−63.3%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
−60%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
−61.4%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
−45.1%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
−69%
Owns a debit card (% age 15+)
Global Findex database
−16.9%
Owns a debit card, female (% age 15+)
Global Findex database
+1.9%
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+53.9%
Owns a debit card, in labor force (% age 15+)
Global Findex database
−25.8%
Owns a debit card, male (% age 15+)
Global Findex database
−22.7%
Owns a debit card, young (% ages 15-24)
Global Findex database
+35%
Owns a debit card, older (% age 25+)
Global Findex database
−18.6%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
−24.1%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
−16.3%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
−12.2%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
−19.7%
Mobile money account (% age 15+)
Global Findex database
−37.8%
Mobile money account, female (% age 15+)
Global Findex database
−52.4%
Mobile money account, out of labor force (% age 15+)
Global Findex database
−0.5%
Mobile money account, in labor force (% age 15+)
Global Findex database
−35.3%
Mobile money account, male (% age 15+)
Global Findex database
−33.6%
Mobile money account, young (% ages 15-24)
Global Findex database
+5.9%
Mobile money account, older (% age 25+)
Global Findex database
−38.1%
Mobile money account, primary education or less (% ages 15+)
Global Findex database
−2.1%
Mobile money account, secondary education or more (% ages 15+)
Global Findex database
−38.9%
Mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
−31.6%
Mobile money account, income, richest 60% (% ages 15+)
Global Findex database
−40.5%
Borrowed any money, out of laborforce (% age 15+)
Global Findex database
−6.5%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
−32.4%
Borrowed any money, young (% ages 15-24)
Global Findex database
−3.1%
Borrowed any money, older (% age 25+)
Global Findex database
−33.4%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
−19.9%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−32.1%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
−21.6%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
−37.7%
Owns a credit card, young (% ages 15-24)
Global Findex database
+148.1%
Owns a credit card, older (% age 25+)
Global Findex database
−46.2%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
−7.8%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
−41.1%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
−12.9%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
−51.2%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
−74.3%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−56.1%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
−55.2%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
−65.2%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
−60%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−63%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
−46.8%
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−70.5%
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+4.4%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
−53%
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
+15.5%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
−50.7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+95.5%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−53%
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
−43.4%
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
−47.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
−31.2%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
−54.9%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
+69.2%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
−54.9%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
−43.4%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
−51.2%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
−33.6%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
−58.5%
Borrowed from a mobile money provider (% age 15+)
Global Findex database
–
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
−23.6%
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
−2.5%
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
−31.5%
Borrowed from family or friends, older (% age 25+)
Global Findex database
−6.4%
Borrowed from family or friends, primary education or less (% age 15+)
Global Findex database
−50.2%
Borrowed from family or friends, secondary education or more (% age 15+)
Global Findex database
−7.9%
Borrowed from family or friends, poorest 40% (% age 15+)
Global Findex database
−22.7%
Borrowed from family or friends, richest 60% (% age 15+)
Global Findex database
−0.1%
Borrowed for health or medical purposes, out of laborforce (% age 15+)
Global Findex database
+67.2%
Borrowed for health or medical purposes, in laborforce (% age 15+)
Global Findex database
+8.2%
Borrowed for health or medical purposes, young (% ages 15-24)
Global Findex database
+63.3%
Borrowed for health or medical purposes, older (% age 25+)
Global Findex database
+4.4%
Borrowed for health or medical purposes, primary education or less (% age 15+)
Global Findex database
−9%
Borrowed for health or medical purposes, secondary education or more (% age 15+)
Global Findex database
+3.6%
Borrowed for health or medical purposes, poorest 40% (% age 15+)
Global Findex database
−10.5%
Borrowed for health or medical purposes, richest 60% (% age 15+)
Global Findex database
+26.4%
Used a credit card, out of laborforce (% age 15+)
Global Findex database
+23.8%
Used a credit card, in laborforce (% age 15+)
Global Findex database
−52.6%
Used a credit card, young (% ages 15-24)
Global Findex database
+114.3%
Used a credit card, older (% age 25+)
Global Findex database
−54.8%
Used a credit card, primary education or less (% age 15+)
Global Findex database
+30.8%
Used a credit card, secondary education or more (% age 15+)
Global Findex database
−50.8%
Used a credit card, poorest 40% (% age 15+)
Global Findex database
−28.4%
Used a credit card, richest 60% (% age 15+)
Global Findex database
−58.1%
Paid off all credit card balances in full by their due date, out of laborforce (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, in laborforce (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, young (% ages 15-24)
Global Findex database
–
Paid off all credit card balances in full by their due date, older (% age 25+)
Global Findex database
–
Paid off all credit card balances in full by their due date, primary education or less (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, secondary education or more (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date, poorest 40% (% age 15+)
Global Findex database
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Paid off all credit card balances in full by their due date, richest 60% (% age 15+)
Global Findex database
–
Paid off all credit card balances in full by their due date (% who used a credit card, age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: not possible, out of laborforce (% age 15+)
Global Findex database
−80.6%
Coming up with emergency funds in 30 days: not possible, in laborforce (% age 15+)
Global Findex database
−51.9%
Coming up with emergency funds in 30 days: not possible, young (% ages 15-24)
Global Findex database
−77.7%
Coming up with emergency funds in 30 days: not possible, older (% age 25+)
Global Findex database
−58.2%
Coming up with emergency funds in 30 days: not possible, primary education or less (% age 15+)
Global Findex database
−28.1%
Coming up with emergency funds in 30 days: not possible, secondary education or more (% age 15+)
Global Findex database
−65.3%
Coming up with emergency funds in 30 days: not possible, poorest 40% (% age 15+)
Global Findex database
−51.8%
Coming up with emergency funds in 30 days: not possible, richest 60% (% age 15+)
Global Findex database
−72.3%
Coming up with emergency funds in 30 days: possible and not difficult at all, out of laborforce (% age 15+)
Global Findex database
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