Banking & Finance Statistics in Myanmar

Explore trusted banking & finance data and trends for Myanmar.

All Banking & Finance datasets for Myanmar (697)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+18.2%
Financial Access Survey (FAS)
IMF
0%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+18.2%
Investment: Credit to Agriculture
FAO
+10.3%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+18.2%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+18.2%
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%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
+14.4%
Total Reserves
Global Economic Monitor
+6.1%
Borrowed any money, women (% age 15+)
Gender Statistics
−30.4%
Borrowed any money, men (% age 15+)
Gender Statistics
−19%
Sent domestic remittances (% age 15+)
Gender Statistics
–
Sent domestic remittances, women (% age 15+)
Gender Statistics
–
Sent domestic remittances, men (% age 15+)
Gender Statistics
–
Sent or received domestic remittances (% age 15+)
Gender Statistics
–
Sent or received domestic remittances, women (% age 15+)
Gender Statistics
–
Sent or received domestic remittances, men (% age 15+)
Gender Statistics
–
Received domestic remittances (% age 15+)
Gender Statistics
–
Received domestic remittances, women (% age 15+)
Gender Statistics
–
Received domestic remittances, men (% age 15+)
Gender Statistics
–
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+12%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
–
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
–
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
−26.9%
Borrowed from a formal bank or similar financial institution (% age 15+)
Gender Statistics
−63%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
+63.7%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
−3.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
−47.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
+63.7%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
−3.6%
Borrowed from family or friends (% age 15+)
Gender Statistics
+3.7%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
−3.6%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+10.4%
Borrowed from a savings club (% age 15+)
Gender Statistics
−7.4%
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+70.2%
Borrowed for health or medical purposes, women (% age 15+)
Gender Statistics
−15.2%
Borrowed for health or medical purposes, men (% age 15+)
Gender Statistics
+15.3%
Borrowed to start or operate a business (% age 15+)
Gender Statistics
−26.7%
Borrowed to start or operate a business, women (% age 15+)
Gender Statistics
−17%
Borrowed to start or operate a business, men (% age 15+)
Gender Statistics
−34.9%
Used a credit card (% age 15+)
Gender Statistics
+1
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
−86.5%
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
+45.6%
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+53.3%
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: 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: 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
+1,395.6%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
–
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
–
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 digital online merchant payment for an online purchase, women (% age 15+)
Gender Statistics
–
Made a digital online merchant payment for an online purchase, men (% age 15+)
Gender Statistics
–
Sent domestic remittances: using an account (% age 15+)
Gender Statistics
–
Sent domestic remittances: using an account, women (% age 15+)
Gender Statistics
–
Sent domestic remittances: using an account, men (% age 15+)
Gender Statistics
–
Sent or received domestic remittances: using an account (% age 15+)
Gender Statistics
–
Sent or received domestic remittances: using an account, women (% age 15+)
Gender Statistics
–
Sent or received domestic remittances: using an account, men (% age 15+)
Gender Statistics
–
Received domestic remittances: into an account (% age 15+)
Gender Statistics
–
Received domestic remittances: into an account, women (% age 15+)
Gender Statistics
–
Received domestic remittances: into an account, men (% age 15+)
Gender Statistics
–
Made a utility payment (% age 15+)
Gender Statistics
+5.2%
Made a utility payment, women (% age 15+)
Gender Statistics
−4.4%
Made a utility payment, men (% age 15+)
Gender Statistics
+16.7%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+400.4%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+809.9%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+2,126.8%
Made a utility payment: using cash only (% age 15+)
Gender Statistics
−6.6%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−13.3%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
+1.6%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+346%
Received public sector wages: into an account (% age 15+)
Gender Statistics
+547.5%
Received wages: into an account (% age 15+)
Gender Statistics
+520%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+455.5%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+516.6%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+441.2%
Received wages: in cash only, men (% age 15+)
Gender Statistics
+9.4%
Received government transfer: into an account (% age 15+)
Gender Statistics
+44.2%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+8.4%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
−64.2%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
−60.7%
Received payments for the sale of agricultural products, livestock, or crops, men (% age 15+)
Gender Statistics
−51.3%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
−43.1%
Received payments for agricultural products: in cash only, women (% age 15+)
Gender Statistics
−28.5%
Received payments for agricultural products: in cash only, men (% age 15+)
Gender Statistics
−53.3%
Made or received a digital payment (% age 15+)
Gender Statistics
+417.7%
Made or received a digital payment, men (% age 15+)
Gender Statistics
–
Made a digital payment (% age 15+)
Gender Statistics
+946.2%
Made a digital payment, men (% age 15+)
Gender Statistics
–
Received digital payments (% age 15+)
Gender Statistics
+267.8%
Received digital payments, women (% age 15+)
Gender Statistics
–
Received digital payments, men (% age 15+)
Gender Statistics
–
Saved any money (% age 15+)
Gender Statistics
+15.7%
Saved any money, women (% age 15+)
Gender Statistics
+15.5%
Saved any money, men (% age 15+)
Gender Statistics
+15.8%
External debt stocks, total (DOD, current US$)
World Development Indicators
−3%
External debt stocks (% of GNI)
World Development Indicators
−9.5%
Use of IMF credit (DOD, current US$)
World Development Indicators
−2.6%
External debt stocks, long-term (DOD, current US$)
World Development Indicators
−3.2%
External debt stocks, short-term (DOD, current US$)
World Development Indicators
+40%
Short-term debt (% of total reserves)
World Development Indicators
+22.7%
Short-term debt (% of exports of goods, services and primary income)
World Development Indicators
−43.2%
Short-term debt (% of total external debt)
World Development Indicators
+44.3%
Net financial flows, bilateral (NFL, current US$)
World Development Indicators
+193,000,000
Net official flows from UN agencies, CERF (current US$)
World Development Indicators
+20%
Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$)
World Development Indicators
−63.5%
Net official flows from UN agencies, FAO (current US$)
World Development Indicators
+33.3%
Net official flows from UN agencies, IAEA (current US$)
World Development Indicators
−0.3%
Net financial flows, IBRD (NFL, current US$)
World Development Indicators
+19.2%
Net financial flows, IDA (NFL, current US$)
World Development Indicators
−58.4%
Net financial flows, multilateral (NFL, current US$)
World Development Indicators
−29.8%
IFC, private nonguaranteed (NFL, US$)
World Development Indicators
−90.5%
PPG, official creditors (NFL, US$)
World Development Indicators
+87.2%
PPG, commercial banks (NFL, current US$)
World Development Indicators
+14.4%
PNG, commercial banks and other creditors (NFL, current US$)
World Development Indicators
−63.5%
PPG, private creditors (NFL, US$)
World Development Indicators
+19.4%
Net financial flows, RDB concessional (NFL, current US$)
World Development Indicators
−4%
Net financial flows, RDB nonconcessional (NFL, current US$)
World Development Indicators
+2.8%
Debt service on external debt, total (TDS, current US$)
World Development Indicators
−3.6%
Total debt service (% of exports of goods, services and primary income)
World Development Indicators
−0.5%
Total debt service (% of GNI)
World Development Indicators
−10.1%
IMF repurchases and charges (TDS, current US$)
World Development Indicators
+449.1%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
+21.8%
Commercial bank branches (per 100,000 adults)
World Development Indicators
+10.1%
Borrowers from commercial banks (per 1,000 adults)
World Development Indicators
+192%
Depositors with commercial banks (per 1,000 adults)
World Development Indicators
+42.2%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
+8.8%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
−1.3%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
+8.8%
Broad money (% of GDP)
World Development Indicators
+23.3%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
+12.5%
Claims on central government, etc. (% GDP)
World Development Indicators
+32.5%
Domestic credit to private sector (% of GDP)
World Development Indicators
+8.8%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
+46.3%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
+77.6%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
+90.4%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
+43.9%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
+11.2%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
+122.1%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
+394.4%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
+83.9%
Firms using banks to finance working capital (% of firms)
World Development Indicators
+135.9%
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
+57.3%
Firms using banks to finance investment (% of firms)
World Development Indicators
+154.2%
Firms that are fully credit constrained (% of firms)
World Development Indicators
−46.7%
Firms that are partially credit constrained (% of firms)
World Development Indicators
+77%
CPIA financial sector rating (1=low to 6=high)
World Development Indicators
0%
Official exchange rate (LCU per US$, period average)
World Development Indicators
−9%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+59%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+20.4%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+12%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
−2.9%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
−14.4%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+81.6%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
−19.2%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
−58.8%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+10.6%
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
+1.8%
Owns a debit card (% age 15+)
Global Findex database
+429.6%
Owns a debit card, female (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
–
Owns a debit card, in labor force (% age 15+)
Global Findex database
–
Owns a debit card, male (% age 15+)
Global Findex database
–
Owns a debit card, young (% ages 15-24)
Global Findex database
–
Owns a debit card, older (% age 25+)
Global Findex database
–
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
–
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
–
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
–
Owns a debit card, income, richest 60% (% ages 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, 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
–
Mobile money account (% age 15+)
Global Findex database
+4,104.3%
Mobile money account, female (% age 15+)
Global Findex database
–
Mobile money account, out of labor force (% age 15+)
Global Findex database
–
Mobile money account, in labor force (% age 15+)
Global Findex database
–
Mobile money account, male (% age 15+)
Global Findex database
–
Mobile money account, young (% ages 15-24)
Global Findex database
–
Mobile money account, older (% age 25+)
Global Findex database
–
Mobile money account, primary education or less (% ages 15+)
Global Findex database
–
Mobile money account, secondary education or more (% ages 15+)
Global Findex database
–
Mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
–
Borrowed any money, out of laborforce (% age 15+)
Global Findex database
−37.5%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
−21.4%
Borrowed any money, young (% ages 15-24)
Global Findex database
−18%
Borrowed any money, older (% age 25+)
Global Findex database
−25%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
−28.2%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
−15.4%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
−38.3%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
−13%
Sent domestic remittances, out of laborforce (% age 15+)
Global Findex database
–
Sent domestic remittances, in laborforce (% age 15+)
Global Findex database
–
Sent domestic remittances, young (% ages 15-24)
Global Findex database
–
Sent domestic remittances, older (% age 25+)
Global Findex database
–
Sent domestic remittances, primary education or less (% age 15+)
Global Findex database
–
Sent domestic remittances, secondary education or more (% age 15+)
Global Findex database
–
Sent domestic remittances, poorest 40% (% age 15+)
Global Findex database
–
Sent domestic remittances, richest 60% (% age 15+)
Global Findex database
–
Sent or received domestic remittances, out of laborforce (% age 15+)
Global Findex database
–
Sent or received domestic remittances, in laborforce (% age 15+)
Global Findex database
–
Sent or received domestic remittances, young (% ages 15-24)
Global Findex database
–
Sent or received domestic remittances, older (% age 25+)
Global Findex database
–
Sent or received domestic remittances, primary education or less (% age 15+)
Global Findex database
–
Sent or received domestic remittances, secondary education or more (% age 15+)
Global Findex database
–
Sent or received domestic remittances, poorest 40% (% age 15+)
Global Findex database
–
Sent or received domestic remittances, richest 60% (% age 15+)
Global Findex database
–
Received domestic remittances, out of laborforce (% age 15+)
Global Findex database
–
Received domestic remittances, in laborforce (% age 15+)
Global Findex database
–
Received domestic remittances, young (% ages 15-24)
Global Findex database
–
Received domestic remittances, older (% age 25+)
Global Findex database
–
Received domestic remittances, primary education or less (% age 15+)
Global Findex database
–
Received domestic remittances, secondary education or more (% age 15+)
Global Findex database
–
Received domestic remittances, poorest 40% (% age 15+)
Global Findex database
–
Received domestic remittances, richest 60% (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, young (% ages 15-24)
Global Findex database
–
Saved at a bank or similar financial institution, older (% age 25+)
Global Findex database
–
Saved at a bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
–
Saved at a bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
–
Borrowed from a formal bank or similar financial institution, out of laborforce (% age 15+)
Global Findex database
+50.9%
Borrowed from a formal bank or similar financial institution, in laborforce (% age 15+)
Global Findex database
+17.9%
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
+50.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, in laborforce (% age 15+)
Global Findex database
+17.9%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+121.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+18%
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
+21.8%
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
+23%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, poorest 40% (% age 15+)
Global Findex database
+44.1%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, richest 60% (% age 15+)
Global Findex database
+7%
Borrowed from a formal bank or similar financial institution, young (% ages 15-24)
Global Findex database
+121.1%
Borrowed from a formal bank or similar financial institution, older (% age 25+)
Global Findex database
+18%
Borrowed from a formal bank or similar financial institution, primary education or less (% age 15+)
Global Findex database
+21.8%
Borrowed from a formal bank or similar financial institution, secondary education or more (% age 15+)
Global Findex database
+23%
Borrowed from a formal bank or similar financial institution, poorest 40% (% age 15+)
Global Findex database
+44.1%
Borrowed from a formal bank or similar financial institution, richest 60% (% age 15+)
Global Findex database
+7%
Borrowed from a mobile money provider (% age 15+)
Global Findex database
–
Borrowed from family or friends, out of laborforce (% age 15+)
Global Findex database
−16.3%
Borrowed from family or friends, in laborforce (% age 15+)
Global Findex database
+8.9%
Borrowed from family or friends, young (% ages 15-24)
Global Findex database
−15%
Borrowed from family or friends, older (% age 25+)
Global Findex database
+11.8%
Borrowed from family or friends, primary education or less (% age 15+)
Global Findex database
+2.4%
Borrowed from family or friends, secondary education or more (% age 15+)
Global Findex database
+3.2%
Borrowed from family or friends, poorest 40% (% age 15+)
Global Findex database
−16.9%

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