Banking & Finance Statistics in Hong Kong

Explore trusted banking & finance data and trends for Hong Kong.

All Banking & Finance datasets for Hong Kong (636)

Dataset
Annual Purchasing Power Parities and exchange rates
OECD
−0.1%
Industrial countries' effective exchange rates - monthly data
Eurostat
+1%
Industrial countries' effective exchange rates - quarterly data
Eurostat
−3.1%
Industrial countries' effective exchange rates - annual data
Eurostat
+0.2%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
−2.6
Real effective exchange rate - euro area trading partners
Eurostat
−3.4%
Borrowed any money, women (% age 15+)
Gender Statistics
+16.3%
Borrowed any money, men (% age 15+)
Gender Statistics
+3%
Owns a credit card, men (% age 15+)
Gender Statistics
+4.1%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+16.8%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+29.3%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+5.5%
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
+12.8%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
+21.3%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
+3.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
+12.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
+21.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
+3.3%
Borrowed from family or friends (% age 15+)
Gender Statistics
+8.6%
Borrowed from a savings club (% age 15+)
Gender Statistics
0
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+157.4%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
+51%
Used a credit card (% age 15+)
Gender Statistics
+12.2%
Used a credit card, women (% age 15+)
Gender Statistics
+20.6%
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
−3.9
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
+0.6%
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
−96.1
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+40.9%
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
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: sale of assets (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, 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
+42.5%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+67.2%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+20.6%
Used a mobile phone or the internet to buy something online (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online, women (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to buy something online, men (% age 15+)
Gender Statistics
–
Made a digital online merchant payment for an online purchase (% age 15+)
Gender Statistics
–
Made a utility payment (% age 15+)
Gender Statistics
+10.8%
Made a utility payment, women (% age 15+)
Gender Statistics
+8%
Made a utility payment, men (% age 15+)
Gender Statistics
+14.1%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+22.9%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+28.9%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+16.9%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+22.9%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
+28.9%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+16.9%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+199.8%
Made a utility payment: using a mobile phone, women (% age 15+)
Gender Statistics
+246.5%
Made a utility payment: using a mobile phone, men (% age 15+)
Gender Statistics
+162.2%
Made a utility payment: using cash only (% age 15+)
Gender Statistics
−37.7%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−51.6%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
−10.8%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−11.1%
Received public sector wages: into an account (% age 15+)
Gender Statistics
−11.1%
Received wages: into an account (% age 15+)
Gender Statistics
+14%
Received wages: into an account, women (% age 15+)
Gender Statistics
+18.8%
Received wages: into an account, men (% age 15+)
Gender Statistics
+9.4%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+23.7%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+27.7%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+19.6%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+18.7%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
+25.3%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+17.5%
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
+166.4%
Received government transfer: into an account (% age 15+)
Gender Statistics
+201.4%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+158.2%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+146.1%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+168.4%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+125.9%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+106.9%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
+24.5%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+28%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
0
Made or received a digital payment (% age 15+)
Gender Statistics
+9.8%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+9.8%
Made a digital payment (% age 15+)
Gender Statistics
+11.1%
Made a digital payment, men (% age 15+)
Gender Statistics
+8.6%
Received digital payments (% age 15+)
Gender Statistics
+27.6%
Received digital payments, women (% age 15+)
Gender Statistics
+31.6%
Received digital payments, men (% age 15+)
Gender Statistics
+23.7%
Saved any money (% age 15+)
Gender Statistics
+11.7%
Saved any money, women (% age 15+)
Gender Statistics
+22.1%
Saved any money, men (% age 15+)
Gender Statistics
+1.8%
Borrowed any money (% age 15+)
Gender Statistics
+10%
Bank or similar financial institution account (% age 15+)
Gender Statistics
−0.5%
Bank or similar financial institution account, women (% age 15+)
Gender Statistics
−1.5%
Bank or similar financial institution account, men (% age 15+)
Gender Statistics
+0.7%
Owns a credit card (% age 15+)
Gender Statistics
−71.6
Owns a credit card, women (% age 15+)
Gender Statistics
+14.2%
Coming up with emergency funds in 30 days: not possible, men (% age 15+)
Gender Statistics
+17.6%
Coming up with emergency funds in 30 days: possible, men (% age 15+)
Gender Statistics
+21.8%
Received wages, men (% age 15+)
Gender Statistics
+6.1%
Received public sector wages (% age 15+)
Gender Statistics
−10.6%
Received private sector wages: into an account, men (% age 15+)
Gender Statistics
+12.5%
Received wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+20.7%
Received wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+14.3%
Made or received a digital payment, women (% age 15+)
Gender Statistics
+9.7%
Made a digital payment, women (% age 15+)
Gender Statistics
+13.1%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
+33.8%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
+27.9%
Listed domestic companies, total
World Development Indicators
+2.4%
Stocks traded, total value (current US$)
World Development Indicators
+95.7%
Stocks traded, total value (% of GDP)
World Development Indicators
+87%
Stocks traded, turnover ratio of domestic shares (%)
World Development Indicators
+14.8%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−0.1%
Commercial bank branches (per 100,000 adults)
World Development Indicators
−2%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
−3.3%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−10.5%
Total reserves (includes gold, current US$)
World Development Indicators
+0.4%
Total reserves in months of imports
World Development Indicators
−0.5%
Total reserves minus gold (current US$)
World Development Indicators
+0.4%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
−3.3%
Broad money (% of GDP)
World Development Indicators
+6.4%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
−4.4%
Claims on central government, etc. (% GDP)
World Development Indicators
+12.4%
Domestic credit to private sector (% of GDP)
World Development Indicators
−3.3%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−2.8%
Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+)
World Development Indicators
+1%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−1.5%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
+0.7%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−1.5%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
−2.8%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
+0.4%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
+7.9%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−0.5%
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$, period average)
World Development Indicators
−0.1%
Official exchange rate, LCU per USD, period average
Global Economic Monitor
−0.1%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
−0.1%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
−0.1%
Stock Markets, US$
Global Economic Monitor
+33.3%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
−12%
Nominal Effecive Exchange Rate
Global Economic Monitor
−2.4%
Real Effective Exchange Rate
Global Economic Monitor
+2%
Total Reserves
Global Economic Monitor
+1.5%
Balance sheet and income statement of insurance companies
OECD
–
Insurance business written by class of insurance
OECD
+30.8%
Insurance indicators
OECD
−1.3%
Insurance companies and employees
OECD
0%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+16.8%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+29.3%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+11%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
+13.4%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+5.5%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+6.7%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+18.7%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+60.9%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+17%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
+26.5%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
+13.5%
Owns a debit card (% age 15+)
Global Findex database
+0.2%
Owns a debit card, female (% age 15+)
Global Findex database
−0.5%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+5.2%
Owns a debit card, in labor force (% age 15+)
Global Findex database
−0.3%
Owns a debit card, male (% age 15+)
Global Findex database
+1.1%
Owns a debit card, young (% ages 15-24)
Global Findex database
+1.3%
Owns a debit card, older (% age 25+)
Global Findex database
0%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+17%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
+0.3%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
+2.7%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
−1.1%
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
+2%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
+8.8%
Borrowed any money, young (% ages 15-24)
Global Findex database
+27.6%
Borrowed any money, older (% age 25+)
Global Findex database
+7.7%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
+27%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
+11.2%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
+13.7%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
+8.5%
Own a mobile phone, urban (% age 15+)
Global Findex database
–
Own a mobile phone, out of laborforce (% age 15+)
Global Findex database
–
Own a mobile phone, in laborforce (% age 15+)
Global Findex database
–
Own a mobile phone, young (% ages 15-24)
Global Findex database
–
Own a mobile phone, older (% age 25+)
Global Findex database
–
Own a mobile phone, primary education or less (% age 15+)
Global Findex database
–
Own a mobile phone, secondary education or more (% age 15+)
Global Findex database
–
Own a mobile phone, poorest 40% (% age 15+)
Global Findex database
–
Own a mobile phone, richest 60% (% age 15+)
Global Findex database
–
Own a mobile phone, rural (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, urban (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, out of laborforce (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, in laborforce (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, young (% ages 15-24)
Global Findex database
–
Main mobile phone is a smartphone, older (% age 25+)
Global Findex database
–
Main mobile phone is a smartphone, primary education or less (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, secondary education or more (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, poorest 40% (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, richest 60% (% age 15+)
Global Findex database
–
Main mobile phone is a smartphone, rural (% age 15+)
Global Findex database
–
Owns a credit card, young (% ages 15-24)
Global Findex database
+43.6%
Owns a credit card, older (% age 25+)
Global Findex database
+6%
Owns a credit card, primary education or less (% age 15+)
Global Findex database
+12.9%
Owns a credit card, secondary education or more (% age 15+)
Global Findex database
+11.2%
Owns a credit card, poorest 40% (% age 15+)
Global Findex database
+12%
Owns a credit card, richest 60% (% age 15+)
Global Findex database
+8.5%
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+11%
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+13.4%
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
+6.7%
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
+18.7%
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+60.9%
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+17%
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+26.5%
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
+13.5%
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+9.9%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+8.9%
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
+9.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
+8.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+55.4%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+8.8%
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
+25.9%
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
+14.3%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
+19.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
+10.3%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
+55.4%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
+8.8%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+25.9%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+14.3%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+19.1%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
+10.3%
Used a credit card, out of laborforce (% age 15+)
Global Findex database
+7.5%
Used a credit card, in laborforce (% age 15+)
Global Findex database
+8.9%
Used a credit card, young (% ages 15-24)
Global Findex database
+51.1%
Used a credit card, older (% age 25+)
Global Findex database
+8.4%
Used a credit card, primary education or less (% age 15+)
Global Findex database
+25.9%
Used a credit card, secondary education or more (% age 15+)
Global Findex database
+13.5%
Used a credit card, poorest 40% (% age 15+)
Global Findex database
+18.8%
Used a credit card, richest 60% (% age 15+)
Global Findex database
+9.6%
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
–
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
+8.3%
Coming up with emergency funds in 30 days: not possible, in laborforce (% age 15+)
Global Findex database
+11.7%
Coming up with emergency funds in 30 days: not possible, young (% ages 15-24)
Global Findex database
+25.8%
Coming up with emergency funds in 30 days: not possible, older (% age 25+)
Global Findex database
+3.1%
Coming up with emergency funds in 30 days: not possible, primary education or less (% age 15+)
Global Findex database
+11.2%
Coming up with emergency funds in 30 days: not possible, secondary education or more (% age 15+)
Global Findex database
+12.5%
Coming up with emergency funds in 30 days: not possible, poorest 40% (% age 15+)
Global Findex database
+15.3%
Coming up with emergency funds in 30 days: not possible, richest 60% (% age 15+)
Global Findex database
−3%
Coming up with emergency funds in 30 days: possible and not difficult at all, out of laborforce (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, in laborforce (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, young (% ages 15-24)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, older (% age 25+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, primary education or less (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, secondary education or more (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, poorest 40% (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and not difficult at all, richest 60% (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible, out of laborforce (% age 15+)
Global Findex database
+47%
Coming up with emergency funds in 30 days: possible, in laborforce (% age 15+)
Global Findex database
+21.9%
Coming up with emergency funds in 30 days: possible, young (% ages 15-24)
Global Findex database
+54.6%
Coming up with emergency funds in 30 days: possible, older (% age 25+)
Global Findex database
+28.8%
Coming up with emergency funds in 30 days: possible, primary education or less (% age 15+)
Global Findex database
+106%
Coming up with emergency funds in 30 days: possible, secondary education or more (% age 15+)
Global Findex database
+25.9%
Coming up with emergency funds in 30 days: possible, poorest 40% (% age 15+)
Global Findex database
+67.6%
Coming up with emergency funds in 30 days: possible, richest 60% (% age 15+)
Global Findex database
+16.6%
Coming up with emergency funds in 30 days: possible and somewhat difficult, out of laborforce (% age 15+)
Global Findex database
–
Coming up with emergency funds in 30 days: possible and somewhat difficult, in laborforce (% age 15+)
Global Findex database
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Coming up with emergency funds in 30 days: possible and somewhat difficult, young (% ages 15-24)
Global Findex database
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