The USD/VND exchange rate rose to 26,220.0000 on August 1, 2025, up 0.08% from the previous session. Over the past month, the Vietnamese Dong has weakened 0.19%, and is down by 4.03% over the last 12 months. Vietnamese Dong - values, historical data, forecasts and news - updated on August of 2025.

Money Supply M0 in Vietnam increased to 1425567 VND Billion in 2023 from 1352910 VND Billion in 2022. This dataset provides - Vietnam Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in Vietnam was last recorded at 4017.75 US dollars in 2024. The GDP per Capita in Vietnam is equivalent to 32 percent of the world's average. This dataset provides - Vietnam GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Economic growth is positively correlated with the annual increase in FDI attraction in Vietnam. FDI capital accounts for a significant proportion of total investment capital of the whole society. The increase in disbursed FDI will expand the production scale of economic sectors, thereby creating conditions to promote economic growth. FDI also helps boost exports, contributing to Vietnam's trade balance surplus, thereby boosting GDP growth. Foreign direct investment data from 2015 to the end of 2022 provides readers with the number of new investments and the amount of capital invested by foreign investors. The data is categorized by investment partner, investment provinces and by investment sectors.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Vietnam VN: BOP: Financial Account: Foreign Direct Investment: Net Outflows data was reported at 540.000 USD mn in 2017. This records a decrease from the previous number of 1.000 USD bn for 2016. Vietnam VN: BOP: Financial Account: Foreign Direct Investment: Net Outflows data is updated yearly, averaging 900.000 USD mn from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 1.956 USD bn in 2013 and a record low of 65.000 USD mn in 2005. Vietnam VN: BOP: Financial Account: Foreign Direct Investment: Net Outflows 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: Balance of Payments: Capital and Financial Account. Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world. Data are in current U.S. dollars.; ; International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.; Sum; Note: Data starting from 2005 are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6).

This dataset is about companies in Vietnam. It has 9,739 rows. It features 3 columns: revenue type, and environmental score (ESG).

Government Spending in Vietnam increased to 904845.64 VND Billion in 2023 from 853097.43 VND Billion in 2022. This dataset provides - Vietnam Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Vietnam VN: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Secondary Education Or More: % of Population Aged 15+ data was reported at 42.425 % in 2017. This records an increase from the previous number of 40.164 % for 2014. Vietnam VN: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Secondary Education Or More: % of Population Aged 15+ data is updated yearly, averaging 40.164 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 42.425 % in 2017 and a record low of 32.261 % in 2011. Vietnam VN: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Secondary Education Or More: % of Population Aged 15+ 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: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (secondary education or more, % of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted Average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This dataset is about countries per year in Vietnam. It has 1 row and is filtered where the date is 2021. It features 3 columns: country, and health expenditure per capita.

The Aqueduct Water Risk Atlas (Aqueduct) is a robust communication tool that represents water-related risk through hydrological indicators. The framework comprises of 12 indicators that were developed to aid decision makers in responding to the growing concerns around water issues and climate change. The entire dataset represents a global view and have been presented here as is with all available attributes for Vietnam.

Abstract

The main objective of this project is to collect household data for the ongoing assessment and monitoring of the socio-economic impacts of COVID-19 on households and family businesses in Vietnam. The estimated field work and sample size of households in each round is as follows:

Round 1 June fieldwork- approximately 6300 households (at least 1300 minority households) Round 2 August fieldwork - approximately 4000 households (at least 1000 minority households) Round 3 September fieldwork- approximately 4000 households (at least 1000 minority households) Round 4 December- approximately 4000 households (at least 1000 minority households) Round 5 - pending discussion

Geographic coverage

National, regional

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2020 Vietnam COVID-19 High Frequency Phone Survey of Households (VHFPS) uses a nationally representative household survey from 2018 as the sampling frame. The 2018 baseline survey includes 46980 households from 3132 communes (about 25% of total communes in Vietnam). In each commune, one EA is randomly selected and then 15 households are randomly selected in each EA for interview. Out of the 15 households, 3 households have information collected on both income and expenditure (large module) as well as many other aspects. The remaining 12 other households have information collected on income, but do not have information collected on expenditure (small module). Therefore, estimation of large module includes 9396 households and are representative at regional and national levels, while the whole sample is representative at the provincial level.

We use the large module of to select the households for official interview of the VHFPS survey and the small module households as reserve for replacement. The sample size of large module has 9396 households, of which, there are 7951 households having phone number (cell phone or line phone).

After data processing, the final sample size is 6,213 households.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire for Round 1 consisted of the following sections Section 2. Behavior Section 3. Health Section 4. Education & Child caring Section 5A. Employment (main respondent) Section 5B. Employment (other household member) Section 6. Coping Section 7. Safety Nets Section 8. FIES

Cleaning operations

Data cleaning began during the data collection process. Inputs for the cleaning process include available interviewers’ note following each question item, interviewers’ note at the end of the tablet form as well as supervisors’ note during monitoring. The data cleaning process was conducted in following steps: • Append households interviewed in ethnic minority languages with the main dataset interviewed in Vietnamese. • Remove unnecessary variables which were automatically calculated by SurveyCTO • Remove household duplicates in the dataset where the same form is submitted more than once. • Remove observations of households which were not supposed to be interviewed following the identified replacement procedure. • Format variables as their object type (string, integer, decimal, etc.) • Read through interviewers’ note and make adjustment accordingly. During interviews, whenever interviewers find it difficult to choose a correct code, they are recommended to choose the most appropriate one and write down respondents’ answer in detail so that the survey management team will justify and make a decision which code is best suitable for such answer. • Correct data based on supervisors’ note where enumerators entered wrong code. • Recode answer option “Other, please specify”. This option is usually followed by a blank line allowing enumerators to type or write texts to specify the answer. The data cleaning team checked thoroughly this type of answers to decide whether each answer needed recoding into one of the available categories or just keep the answer originally recorded. In some cases, that answer could be assigned a completely new code if it appeared many times in the survey dataset.
• Examine data accuracy of outlier values, defined as values that lie outside both 5th and 95th percentiles, by listening to interview recordings. • Final check on matching main dataset with different sections, where information is asked on individual level, are kept in separate data files and in long form. • Label variables using the full question text. • Label variable values where necessary.

Response rate

The target for Round 1 is to complete interviews for 6300 households, of which 1888 households are located in urban area and 4475 households in rural area. In addition, at least 1300 ethnic minority households are to be interviewed. A random selection of 6300 households was made out of 7951 households for official interview and the rest as for replacement. However, the refusal rate of the survey was about 27 percent, and households from the small module in the same EA were contacted for replacement and these households are also randomly selected.

This dataset shows the cases of Coronavirus (COVID-19) in Vietnam. The dataset information will be updated according to the announcements from the ministry of health in Vietnam. The data is updated frenquently along with the data of Ministry of Vietnam. Note: The first case of COVID-19 in Vietnam was first announced on January 22, 2020, including a 66-year-old Chinese man (#1) traveling from Wuhan to Hanoi to visit his son living in Vietnam, and his 28-year-old son (# 2), who is believed to have contracted the disease from his father when they met in Nha Trang. This dataset is updated as the case progresses, thus requiring the public to understand and verify the data that ODV has published.

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers. The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters. The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules. The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

This project examines a key assumption which underlies one of the main approaches to poverty reduction currently advocated and practised by many international development agencies. Enormous energies and resources are devoted to institutional reform in order to improve the investment climate and thus promote economic growth. The assumption is that institutional reform comes first and investment follows. The project investigates whether this widely assumed sequence applies in the real world or whether, in fact, investment and growth provide the impetus for institutional reform. The project suggests a new way of examining this issue by drawing on comparative intra-country evidence and by combining quantitative and qualitative methods. Vietnam has data on growth, investment and the quality of governance, disaggregated by province and component of governance reform, for five consecutive years. The availability of such panel data makes it possible to examine the sequencing and dynamics of reform. Complementary qualitative research methods will be used to check the quantitative results and explore political dynamics at work. The project was designed and will be executed jointly by a team of IDS Fellows and Vietnamese collaborators. Our source of firm data is the Vietnam Enterprise Census. This is an annual census of all firms with more than 10 employees with an additional random sample of smaller firms. The data includes a wide range of information on firm characteristics including: sector, employees, assets, legal type, performance, source of capital, and investment. We have data from 2000 to 2010. The number of enterprises increased rapidly over this period from 42,123 in 2000, to over 250,000 in the later years, reflecting the strong growth in private sector activity over the decade. Unfortunately, matching firms across years for the early years is extremely difficult. However, from 2006, a standardised firm identifier was used allowing us to construct an (unbalanced) panel of firms from 2006-2010. Our final panel dataset contains 391,631 firms. Fifteen percent of the firms are measured for all five years, but others are measured less frequently either because of firm entry and exit during the time period under investigation, or because they fell below the GSO threshold of ten employees for inclusion in the census in a particular year and therefore were only subject to random selection, leading to gaps in the data. To measure the quality of local economic governance we draw on the Provincial Competitiveness Index (PCI). The PCI is a composite index of provincial economic governance which has been calculated each year since 2006 by the Vietnam Chamber of Commerce and Industry (VCCI). It is based upon a mail-out survey to a random sample of firms in each province. The survey asks a range of questions about firms’ perceptions of local economic governance, as well as concrete measures of their experience of local governance. A particular strength of the PCI is that it focuses on aspects of local governance which are under the control of the provincial administration. It therefore excludes factors such as the quality or availability of national roads, airports and ports which would bias the index in favour of larger cities or provinces. Firm responses to the questions are combined into a set of nine sub-indices reflecting provincial performance on: • Entry costs • Land access and tenure security • Transparency • Time costs of regulatory compliance • Informal charges • Proactivity of the provincial government • Business support services • Labour training • Legal institutions Provincial scores on each sub-index represent the province’s performance on that topic relative to the performance of other provinces in Vietnam. The overall PCI index is a combination of the sub-indices, yielding an overall score for the quality of economic governance in each province. The published PCI scores use a weighted sum of the sub-indices, with weights determined by the influence of each sub-index in predicting different aspects of firm performance. We use this published PCI, since it is observable to decision makers in firms and in government. In addition to the Enterprise Census and PCI data, we also draw on a range of provincial statistics from the GSO Statistical Yearbook.

Money Supply M2 in Vietnam increased to 15998956 VND Billion in 2023 from 14226792 VND Billion in 2022. This dataset provides - Vietnam Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Vietnam VN: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Primary Education Or Less: % of Population Aged 15+ data was reported at 13.047 % in 2017. This records a decrease from the previous number of 15.341 % for 2014. Vietnam VN: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Primary Education Or Less: % of Population Aged 15+ data is updated yearly, averaging 13.047 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 15.341 % in 2014 and a record low of 4.506 % in 2011. Vietnam VN: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Primary Education Or Less: % of Population Aged 15+ 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 Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (primary education or less, % of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This dataset is about books. It has 1 row and is filtered where the book is The irony of Vietnam : the system worked. It features 7 columns including author, publication date, language, and book publisher.

Prepared by Lan Thuong Nguyen, a PhD. Candidate from the International Doctoral Program in Asia-Pacific Studies (IDAS) at National Chengchi University (NCCU), at the Center for Asia-Pacific Resilience and Innovation (CAPRi).

Lan Thuong Nguyen is a co-author of this project alongside an American researcher, Dr. Yen Pottinger, who has clearly defined responsibilities. Her role is sourcing and analyzing documents related to public health policies during the COVID-19 pandemic, vaccination promotion programs, communication strategies against COVID-19, and research articles and reports on vaccine acceptance rates among the Vietnamese population. Additionally, she examines public sentiment regarding the government's COVID-19 strategies and other relevant information. As a result, she searched, curated, and compiled the datasets and stored them in the depositar. She is also responsible for overseeing the storage, management, and, if necessary, customization of these data. The management process does not require additional resources or incur storage or data preparation costs. The datasets will be shared via the repository, with access requests managed by Lan Thuong Nguyen. No personal data is included in the datasets.

The project titled "Misinformation, Disinformation, and Vaccine Hesitancy in Vietnam" forms part of a broader series of studies analyzing vaccine hesitancy across various countries in the Asia-Pacific region. This research examines both the historical context and the impact of the COVID-19 pandemic, with a particular focus on the influence of misinformation and disinformation on governmental and civil society efforts to promote vaccination. It belongs to the Center for Asia-Pacific Resilience and Innovation (CAPRi). The project has been completed and posted on the Center for Asia-Pacific Resilience and Innovation (CAPRi) website.

In this case, the project aims to analyze the factors contributing to vaccine hesitancy in Vietnam, with a particular focus on the influence of misinformation and disinformation. It will examine the historical context, the role of digital and social media, and the effectiveness of governmental and public health responses in addressing these challenges during the COVID-19 pandemic. The project contains metadata on the Vietnamese vaccination program and focuses on the country's public health policy, communication strategies, and vaccination experiences.

The dataset below is part of this project. It introduces the COVID-19 prevention policies, provides an overview of the current status, and compiles academic research on vaccine acceptance, the prevalence of misinformation, and how governments are addressing these issues.

Files must be downloaded to use the entire dataset (depositar only provides limited data previews). This dataset comprises one ZIP file, one XLSX spreadsheet, and one PDF file. The ZIP files contain academic research and documents on experiences propagating COVID-19 vaccination in Vietnamese and English. They are collected for reference in this project, and each article/ research paper/ report is attached with links in this ZIP file. The XLSX spreadsheet is a collection of public health policies applicable to the country made by the author to understand how the Vietnamese government prevented, combated, and governed the anti-COVID-19 campaign. It is used for reference purposes. The PDF file is a literature review written by the author with detailed citations and references. It is conducted based on the requirements of the project manager to have an overview of Vietnam's public health policy.

In its present state, the dataset is presented primarily in Vietnamese and English.

Government Revenues in Vietnam increased to 1614059 VND Billion in 2022 from 1568453 VND Billion in 2021. This dataset provides - Vietnam Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.