Banking & Finance Statistics in Russia

Explore trusted banking & finance data and trends for Russia.

All Banking & Finance datasets for Russia (1021)

Dataset
Monetary and Financial Statistics (MFS), Monetary Aggregates
IMF
+16.7%
Financial Access Survey (FAS)
IMF
−2.5%
Currency Composition of the International Investment Position (IIPCC)
IMF
−3.9%
Effective Exchange Rate (EER)
IMF
+9.8%
Annual Purchasing Power Parities and exchange rates
OECD
+8.7%
Financial market
OECD
+15%
Monetary aggregates
OECD
+10.6%
Government Annual Financial Accounts (flows), non-consolidated
OECD
−66.8%
Households' Financial Assets and Liabilities
OECD
+7.8%
Institutional Investors' Indicators
OECD
−5.8%
Financial Dashboard
OECD
+1.1
Financial indicators dashboard: Total economy
OECD
−37.8%
Financial indicators dashboard: Non-financial corporations
OECD
+1.1
Financial indicators dashboard: Financial corporations
OECD
+1,650%
Financial indicators dashboard: Government
OECD
+0.4%
Financial indicators dashboard: Households and NPISH
OECD
−23%
Industrial countries' effective exchange rates - monthly data
Eurostat
+3.5%
Industrial countries' effective exchange rates - quarterly data
Eurostat
−2.8%
Real effective exchange rate - percentage changes, 42 trading partners
Eurostat
+18.1
Real effective exchange rate - euro area trading partners
Eurostat
+1.2%
Industrial countries' effective exchange rates - annual data
Eurostat
−7.9%
Venture capital investments (market statistics)
OECD
−17%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 April
IMF
+16.7%
Investment: Credit to Agriculture
FAO
+19.9%
Currency Composition of the International Investment Position (IIPCC) 2026 April
IMF
+6.6%
Effective Exchange Rates (ER) 2026 April
IMF
+8.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 February
IMF
+16.7%
Currency Composition of the International Investment Position (IIPCC) 2026 February
IMF
+6.6%
Effective Exchange Rates (ER) 2026 February
IMF
+8.8%
Effective Exchange Rates (ER) 2026 January
IMF
+8.8%
Monetary and Financial Statistics (MFS), Monetary Aggregates 2026 January
IMF
+16.7%
Currency Composition of the International Investment Position (IIPCC) 2026 January
IMF
+6.6%
Sustainable Bonds
IMF
−64.4%
Forward Looking Transition Risk Indicators
IMF
–
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
−9.2%
Exchange rate, new LCU per USD extended backward, period average
Global Economic Monitor
−9.2%
Exchange rate, old LCU per USD extended forward, period average
Global Economic Monitor
−9.2%
Stock Markets, US$
Global Economic Monitor
+14.6%
Foreign Reserves, Months Import Cover, Goods
Global Economic Monitor
+2.7%
Nominal Effecive Exchange Rate
Global Economic Monitor
−5.4%
Real Effective Exchange Rate
Global Economic Monitor
−1.2%
Total Reserves
Global Economic Monitor
+1.8%
Borrowed any money, women (% age 15+)
Gender Statistics
+16.8%
Borrowed any money, men (% age 15+)
Gender Statistics
+31.7%
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
–
Owns a credit card, men (% age 15+)
Gender Statistics
+31.9%
Saved at a bank or similar financial institution (% age 15+)
Gender Statistics
+32.6%
Saved at a bank or similar financial institution, women (% age 15+)
Gender Statistics
+16.7%
Saved at a bank or similar financial institution, men (% age 15+)
Gender Statistics
+52.6%
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
−13.9%
Borrowed from a formal bank or similar financial institution (% age 15+)
Gender Statistics
+29.1%
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Gender Statistics
+31.1%
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Gender Statistics
+26.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Gender Statistics
+33.6%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Gender Statistics
+32.8%
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Gender Statistics
+34.3%
Borrowed from family or friends (% age 15+)
Gender Statistics
+25.1%
Borrowed from family or friends, women (% age 15+)
Gender Statistics
+14.7%
Borrowed from family or friends, men (% age 15+)
Gender Statistics
+39.2%
Borrowed from a savings club (% age 15+)
Gender Statistics
−74.7%
Borrowed for health or medical purposes (% age 15+)
Gender Statistics
+52.7%
Borrowed for health or medical purposes, women (% age 15+)
Gender Statistics
–
Borrowed for health or medical purposes, men (% age 15+)
Gender Statistics
–
Borrowed to start or operate a business (% age 15+)
Gender Statistics
+36.2%
Used a credit card (% age 15+)
Gender Statistics
+29.9%
Used a credit card, women (% age 15+)
Gender Statistics
+24.9%
Used a credit card, men (% age 15+)
Gender Statistics
+35.9%
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
−4.4
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Gender Statistics
+53.2%
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
−95.6
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Gender Statistics
+77.6%
Coming up with emergency funds in 30 days: possible and somewhat difficult (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and somewhat difficult, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and somewhat difficult, men (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and very difficult (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and very difficult, women (% age 15+)
Gender Statistics
–
Coming up with emergency funds in 30 days: possible and very difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: family or friends, possible and very difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: sale of assets (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, women (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, men (% age 15+)
Gender Statistics
–
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult (% age 15+)
Gender Statistics
–
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
+69.2%
Used a mobile phone or the internet to pay bills, women (% age 15+)
Gender Statistics
+59.9%
Used a mobile phone or the internet to pay bills, men (% age 15+)
Gender Statistics
+80.5%
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
−6.3%
Made a utility payment, men (% age 15+)
Gender Statistics
−3.3%
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Gender Statistics
+52.4%
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+50.8%
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+55%
Made a utility payment: using an account (% age 15+)
Gender Statistics
+85.3%
Made a utility payment: using an account, women (% age 15+)
Gender Statistics
+83.7%
Made a utility payment: using an account, men (% age 15+)
Gender Statistics
+87.9%
Made a utility payment: using a mobile phone (% age 15+)
Gender Statistics
+289.3%
Made a utility payment: using a mobile phone, women (% age 15+)
Gender Statistics
+316.6%
Made a utility payment: using a mobile phone, men (% age 15+)
Gender Statistics
+257.7%
Made a utility payment: using cash only (% age 15+)
Gender Statistics
−55.2%
Made a utility payment: using cash only, women (% age 15+)
Gender Statistics
−54.9%
Made a utility payment: using cash only, men (% age 15+)
Gender Statistics
−55.2%
Received public sector wages, women (% age 15+)
Gender Statistics
+22%
Received public sector wages, men (% age 15+)
Gender Statistics
+91.3%
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+65.6%
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
+46.3%
Received public sector wages: into an account, women (% age 15+)
Gender Statistics
+26.8%
Received public sector wages: into an account, men (% age 15+)
Gender Statistics
+84.1%
Received wages: into an account (% age 15+)
Gender Statistics
+23%
Received wages: into an account, women (% age 15+)
Gender Statistics
+7.8%
Received wages: into an account, men (% age 15+)
Gender Statistics
+42%
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+26.3%
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+12.5%
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+39.8%
Received private sector wages: into an account (% age 15+)
Gender Statistics
+9.4%
Received private sector wages: into an account, women (% age 15+)
Gender Statistics
−5.1%
Received wages: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+38.7%
Received wages: in cash only, men (% age 15+)
Gender Statistics
−16.6%
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Gender Statistics
+16.3%
Received government transfer: into an account (% age 15+)
Gender Statistics
+102.2%
Received government transfer: into an account, women (% age 15+)
Gender Statistics
+144.6%
Received government transfer: into an account, men (% age 15+)
Gender Statistics
+41.7%
Received government transfer: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+114%
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+155.1%
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
+51.4%
Received a public sector pension: into an account (% age 15+)
Gender Statistics
+13.8%
Received a public sector pension: into an account, women (% age 15+)
Gender Statistics
+33.3%
Received a public sector pension: into an account, men (% age 15+)
Gender Statistics
−7.9%
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Gender Statistics
+20.5%
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Gender Statistics
+42.3%
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Gender Statistics
−3.4%
Received payments for agricultural products: in cash only (% age 15+)
Gender Statistics
−62.7%
Made or received a digital payment (% age 15+)
Gender Statistics
+24%
Made or received a digital payment, men (% age 15+)
Gender Statistics
+23%
Made a digital payment (% age 15+)
Gender Statistics
+33.1%
Made a digital payment, men (% age 15+)
Gender Statistics
+32.7%
Received digital payments (% age 15+)
Gender Statistics
+32.9%
Received digital payments, women (% age 15+)
Gender Statistics
+34.7%
Received digital payments, men (% age 15+)
Gender Statistics
+30.7%
Saved any money (% age 15+)
Gender Statistics
+3.1%
Saved any money, women (% age 15+)
Gender Statistics
−3.2%
Saved any money, men (% age 15+)
Gender Statistics
+9.6%
Market capitalization of listed domestic companies (current US$)
World Development Indicators
+22.7%
Market capitalization of listed domestic companies (% of GDP)
World Development Indicators
+35.7%
Listed domestic companies, total
World Development Indicators
−0.5%
Stocks traded, total value (current US$)
World Development Indicators
+5.9%
Stocks traded, total value (% of GDP)
World Development Indicators
+17.1%
Automated teller machines (ATMs) (per 100,000 adults)
World Development Indicators
−16.9%
Commercial bank branches (per 100,000 adults)
World Development Indicators
+1.2%
Domestic credit to private sector by banks (% of GDP)
World Development Indicators
−8.3%
Bank liquid reserves to bank assets ratio (%)
World Development Indicators
+6.6%
Monetary Sector credit to private sector (% GDP)
World Development Indicators
−8.3%
Broad money (% of GDP)
World Development Indicators
+18.8%
Interest rate spread (lending rate minus deposit rate, %)
World Development Indicators
+5.1%
Claims on central government, etc. (% GDP)
World Development Indicators
−58.5%
Claims on other sectors of the domestic economy (% of GDP)
World Development Indicators
+14.3%
Domestic credit provided by financial sector (% of GDP)
World Development Indicators
+21.6%
Domestic credit to private sector (% of GDP)
World Development Indicators
−8.3%
Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
World Development Indicators
−17.7%
Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
World Development Indicators
−14.3%
Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
World Development Indicators
−8.5%
Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
World Development Indicators
−12.4%
Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
World Development Indicators
−23.7%
Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
World Development Indicators
−10.1%
Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
World Development Indicators
−5.4%
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
World Development Indicators
−11.6%
Firms using banks to finance working capital (% of firms)
World Development Indicators
+56.9%
Firms with a bank loan/line of credit (% of firms)
World Development Indicators
+54.9%
Firms using banks to finance investment (% of firms)
World Development Indicators
+199.3%
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
+24.4%
Saved at a financial institution or using a mobile money account (% age 15+)
Global Findex database
+39.1%
Saved at a financial institution or using a mobile money account, female (% age 15+)
Global Findex database
+17.1%
Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)
Global Findex database
+36.7%
Saved at a financial institution or using a mobile money account, in labor force (% age 15+)
Global Findex database
+38.9%
Saved at a financial institution or using a mobile money account, male (% age 15+)
Global Findex database
+66.9%
Saved at a financial institution or using a mobile money account, young (% ages 15-24)
Global Findex database
+166.2%
Saved at a financial institution or using a mobile money account, older (% age 25+)
Global Findex database
+20.1%
Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)
Global Findex database
+96.1%
Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)
Global Findex database
+30.4%
Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)
Global Findex database
−5%
Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)
Global Findex database
+55.2%
Owns a debit card (% age 15+)
Global Findex database
+9.6%
Owns a debit card, female (% age 15+)
Global Findex database
+11.4%
Owns a debit card, urban (% age 15+)
Global Findex database
–
Owns a debit card, out of labor force (% age 15+)
Global Findex database
+9.7%
Owns a debit card, in labor force (% age 15+)
Global Findex database
+8.9%
Owns a debit card, male (% age 15+)
Global Findex database
+7.4%
Owns a debit card, young (% ages 15-24)
Global Findex database
+11.4%
Owns a debit card, older (% age 25+)
Global Findex database
+10%
Owns a debit card, primary education or less (% ages 15+)
Global Findex database
+1.3%
Owns a debit card, secondary education or more (% ages 15+)
Global Findex database
+10.7%
Owns a debit card, income, poorest 40% (% ages 15+)
Global Findex database
+13.8%
Owns a debit card, income, richest 60% (% ages 15+)
Global Findex database
+7.4%
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, 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
−82.3%
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
+43.8%
Borrowed any money, in laborforce (% age 15+)
Global Findex database
+12.7%
Borrowed any money, young (% ages 15-24)
Global Findex database
+22.4%
Borrowed any money, older (% age 25+)
Global Findex database
+23.5%
Borrowed any money, primary education or less (% age 15+)
Global Findex database
+65.4%
Borrowed any money, secondary education or more (% age 15+)
Global Findex database
+18%
Borrowed any money, poorest 40% (% age 15+)
Global Findex database
+25.6%
Borrowed any money, richest 60% (% age 15+)
Global Findex database
+22%
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
–

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