In 2023, Vietnam's financial, banking and insurance sector accounted for a GDP value of approximately ****** trillion Vietnamese dong, equivalent to *** percent of the country's total GDP. In that year, Vietnam's total GDP amounted to around **** thousand trillion Vietnamese dong.

Vietnam VN: Domestic Credit: Provided by Financial Sector: % of GDP data was reported at 141.797 % in 2017. This records an increase from the previous number of 140.062 % for 2016. Vietnam VN: Domestic Credit: Provided by Financial Sector: % of GDP data is updated yearly, averaging 65.395 % from Dec 1992 (Median) to 2017, with 25 observations. The data reached an all-time high of 141.797 % in 2017 and a record low of 15.712 % in 1992. Vietnam VN: Domestic Credit: Provided by Financial Sector: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Bank Loans. Domestic credit provided by the financial sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The financial sector includes monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies.; ; International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.; Weighted average;

Actual value and historical data chart for Vietnam Domestic Credit Provided By Banking Sector Percent Of GDP

Vietnam VN: Banking Institutions: Demand Deposits data was reported at 986,529,003.706 VND mn in Mar 2018. This records an increase from the previous number of 972,619,029.779 VND mn for Dec 2017. Vietnam VN: Banking Institutions: Demand Deposits data is updated quarterly, averaging 102,089,363.000 VND mn from Dec 1992 (Median) to Mar 2018, with 98 observations. The data reached an all-time high of 986,529,003.706 VND mn in Mar 2018 and a record low of 3,379,013.000 VND mn in Mar 1993. Vietnam VN: Banking Institutions: Demand Deposits data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Vietnam – Table VN.IMF.IFS: Financial System: Deposit Money Banks: Quarterly.

Graph and download economic data for Use of Financial Services: Key Indicators, Outstanding Deposits with Commercial Banks for Vietnam (VNMFCLODCGGDPPT) from 2007 to 2023 about Viet Nam, deposits, financial, services, banks, and depository institutions.

Graph and download economic data for Use of Financial Services: Key Indicators, Outstanding Loans from Commercial Banks for Vietnam (VNMFCSODCGGDPPT) from 2007 to 2023 about Viet Nam, financial, loans, banks, services, and depository institutions.

As of the third quarter of 2023, the return on assets was estimated at approximately **** for Bank for Social Policies in Vietnam. In that period, the return on assets of the whole baking system in the country was **** percent.

Rapid development of the domestic private sector in communist China and Vietnam has been offered as evidence against a large literature that claims a solid legal infrastructure is required for the financial sector to contribute to economic development. One component of the counterargument holds that relationship-based lending has served as an effective substitute for legal institutions. In this article, we challenge this assertion with empirical findings that show bank credit allocation that relies heavily on “connections” undermines the impact of finance on investment growth. Our data come from Vietnam, where—like China—the private sector and financial sector are expanding dramatically but rule of law has not kept pace. Although Vietnam's banking sector is in transition toward a healthier system, it still allocates a disproportionate share of credit to “connected” enterprises in less competitive regions. We find that political connections, in particular, are an ineffective tool for channeling bank credit to the most profitable investors. Using a two-stage empirical approach, we find evidence that banks place greater value on connections than performance and that the firms with greater access to bank loans are no more profitable than firms without them. By some measures, connected firms are even significantly less profitable. We conclude by demonstrating that the most profitable investors in Vietnam have forgone the formal banking system, preferring to finance their activities out of reinvested earnings or informal loans (JEL G21, G28, G30, O12, K11).

Vietnam: Financial system deposits, percent of GDP: The latest value from 2021 is 23.34 percent, a decline from 24.8 percent in 2020. In comparison, the world average is 69.41 percent, based on data from 138 countries. Historically, the average for Vietnam from 1992 to 2021 is 12.3 percent. The minimum value, 3 percent, was reached in 1995 while the maximum of 24.8 percent was recorded in 2020.

Vietnam VN: Market Capitalization: Listed Domestic Companies: % of GDP data was reported at 5.157 % in 2017. This records a decrease from the previous number of 32.345 % for 2016. Vietnam VN: Market Capitalization: Listed Domestic Companies: % of GDP data is updated yearly, averaging 24.069 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 32.345 % in 2016 and a record low of 5.157 % in 2017. Vietnam VN: Market Capitalization: Listed Domestic Companies: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

As of the third quarter of 2023, the return on equity of state-owned banks reached approximately **** percent in Vietnam. In that period, the return on equity of the whole banking system in Vietnam was around **** percent.

In the first six months of 2024, the capital adequacy ratio (CAR) was estimated at approximately **** percent among banks in Vietnam. This was the first time since the pandemic that the banking industry in the country reached the pre-pandemic CAR.

All reporting countries - Cross-border total claims of banks with headquaters in All countries (total) vis-a-vis residents of Vietnam, unallocated non-financial sectors (amounts outstanding / stocks, debt securities in all currencies (=d+f+u), All currencies )

Actual value and historical data chart for Vietnam Financial System Deposits To GDP Percent

Vietnam VN: Stocks Traded: Total Value: % of GDP data was reported at 17.001 % in 2017. This records an increase from the previous number of 10.850 % for 2016. Vietnam VN: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 10.850 % from Dec 2008 (Median) to 2017, with 9 observations. The data reached an all-time high of 21.384 % in 2009 and a record low of 5.527 % in 2011. Vietnam VN: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Graph and download economic data for Amount Outstanding Due within One Year of International Debt Securities for Financial Corporations Sector, Residence of Issuer in Vietnam (DISCONTINUED) (IDS1YMAORIFCVN) from Q1 2009 to Q2 2015 about Viet Nam, 1-year, finance companies, companies, finance, sector, debt, financial, residents, and securities.

As of November 2024, the Bank for Investment and Development of Vietnam (BIDV), a state-owned financial institution, was the leading bank in Vietnam, with approximately *** thousand trillion Vietnamese dong worth of assets. Fellow state-owned Vietnam Joint Stock Commercial Bank For Industry and Trade (Vietinbank) ranked second in terms of assets, followed by the Joint Stock Commercial Bank For Foreign Trade Of Vietnam (Vietcombank), at *** and *** thousand trillion Vietnamese dong, respectively. Vietnamese financial institution system The central bank in Vietnam is the State Bank of Vietnam, which also serves as the main regulatory institution of the country’s banking system. Commercial banks are the most prevalent type of banking institutions in Vietnam, including state-owned commercial banks, joint-stock commercial banks, joint-venture banks, and wholly foreign-owned banks. State-owned banks led in terms of total assets and also outperformed other banking models in return on equity in 2024. Digital banking on the rise Many consumers in Vietnam still seem to have a stronger preference for traditional banks, as traditional banks are usually associated with trust, reputation, and good customer service, which Vietnamese consumers hold high regard for. As the country is considered quite late in digitalizing the banking system, there remains plenty of room for digital banking to grow in Vietnam. The internet and mobile banking boom during the COVID-19 pandemic is evidence of substantial growth potential, especially among tech-savvy younger generations. In addition to that, the number of FinTech users in Vietnam is also expected to double in seven years.

Graph and download economic data for Amount Outstanding of International Debt Securities for Issuers in Financial Institutions Sector (Banks), All Maturities, Residence of Issuer in Vietnam (DISCONTINUED) (IDSBMRIAOVN) from Q2 2012 to Q2 2015 about Viet Nam, maturity, sector, debt, financial, residents, securities, banks, and depository institutions.

Abstract

Well-functioning financial systems serve a vital purpose, offering savings, credit, payment, and risk management products to people with a wide range of needs. Yet until now little had been known about the global reach of the financial sector - the extent of financial inclusion and the degree to which such groups as the poor, women, and youth are excluded from formal financial systems. Systematic indicators of the use of different financial services had been lacking for most economies.

The Global Financial Inclusion (Global Findex) database provides such indicators. This database contains the first round of Global Findex indicators, measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. The data set can be used to track the effects of financial inclusion policies globally and develop a deeper and more nuanced understanding of how people around the world manage their day-to-day finances. By making it possible to identify segments of the population excluded from the formal financial sector, the data can help policy makers prioritize reforms and design new policies.

Geographic coverage

National Coverage.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above. The sample is nationally representative.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Global Findex indicators are drawn from survey data collected by Gallup, Inc. over the 2011 calendar year, covering more than 150,000 adults in 148 economies and representing about 97 percent of the world's population. Since 2005, Gallup has surveyed adults annually around the world, using a uniform methodology and randomly selected, nationally representative samples. The second round of Global Findex indicators was collected in 2014 and is forthcoming in 2015. The set of indicators will be collected again in 2017.

Surveys were conducted face-to-face in economies where landline telephone penetration is less than 80 percent, or where face-to-face interviewing is customary. The first stage of sampling is the identification of primary sampling units, consisting of clusters of households. The primary sampling units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid.

Surveys were conducted by telephone in economies where landline telephone penetration is over 80 percent. The telephone surveys were conducted using random digit dialing or a nationally representative list of phone numbers. In selected countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to teach a person in each household, spread over different days and times of year.

The sample size in the majority of economies was 1,000 individuals.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup, Inc. also provided valuable input. The questionnaire was piloted in over 20 countries using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on insurance, mobile payments, and loan purposes were asked only in developing economies. The indicators on awareness and use of microfinance insitutions (MFIs) are not included in the public dataset. However, adults who report saving at an MFI are considered to have an account; this is reflected in the composite account indicator.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country- and indicator-specific standard errors, refer to the Annex and Country Table in Demirguc-Kunt, Asli and L. Klapper. 2012. "Measuring Financial Inclusion: The Global Findex." Policy Research Working Paper 6025, World Bank, Washington, D.C.

Well-functioning financial systems serve a vital purpose, offering savings, credit, payment, and risk management products to people with a wide range of needs. Yet until now little had been known about the global reach of the financial sector the extent of financial inclusion and the degree to which such groups as the poor, women, and youth are excluded from formal financial systems. Systematic indicators of the use of different financial services had been lacking for most economies. The Global Financial Inclusion (Global Findex) database provides such indicators. This database contains the first round of Global Findex indicators, measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. The data set can be used to track the effects of financial inclusion policies globally and develop a deeper and more nuanced understanding of how people around the world manage their day-to-day finances. By making it possible to identify segments of the population excluded from the formal financial sector, the data can help policy makers prioritize reforms and design new policies.