This statistic shows the biggest cities in Vietnam in 2019. In 2019, approximately nine million people lived in Thành Phố Hồ Chí Minh (Ho Chi Minh City), making it the biggest city in Vietnam.

In 2023, Ho Chi Minh City was the largest municipality in Vietnam, with a population of over 9.5 million people. Home to over eight million people, Ha Noi ranking second, followed by Hai Phong. There are five municipalities in Vietnam, which are also the leading urban cities in the country.

In 2023, the population density in Ho Chi Minh City reached 4,513 inhabitants per square kilometer, making the largest city of Vietnam also the most crowded. Ha Noi, the capital, was much less crowded, with 2,556 people per square kilometer. In both Da Nang and Can Tho, this figure stayed around 900 inhabitants per square kilometer.

In 2022, the urban population in Vietnam stood at approximately 37.4 million people. The six largest urban agglomerations include Hanoi, Hai Phong, Da Nang, Bien Hoa, Ho Chi Minh City, and Can Tho. On the other hand, Ben Tre, Thai Binh, and Bac Giang had the lowest rates of urbanization in the country.

Urbanization in Vietnam

The rapid urbanization in Vietnam results in a disproportionate population density between its urban and rural areas. For instance, in 2022, Ho Chi Minh City recorded a population density of 4,481 inhabitants per square kilometer, nearly 15 times the country's average population density in the same year. The urban population is consistently increasing due to the country’s economic reforms and infrastructure development, as well as higher living standards. For example, the monthly income per capita in urban areas is nearly half as much as that in rural areas. Nevertheless, the poverty rate in Vietnam has been consistently diminishing each year, roughly at 4.2 percent as of 2022.

Urban infrastructure in Vietnam

Vietnam has made significant progress in developing its urban infrastructure, especially in major cities like Hanoi and Ho Chi Minh City. The expansion of highways, seaports, and airports has enhanced domestic and international connectivity, as well as greatly contributed to the country’s logistic industry. For instance, Hanoi and Ho Chi Minh City are developing a metro system which is expected to be put into operation in 2024. The country has also invested in modern healthcare facilities, schools, and commercial centers. However, challenges such as traffic jams, limited public transportation services, and environmental pollution still require significant efforts to meet the growing demands of the Vietnamese urban population.

In 2023, citizens of Ho Chi Minh City and Ha Noi had the highest monthly average monthly income per capita among Vietnam's four major cities, amounting to more than 6.5 million Vietnamese dong. People living in Da Nang had a slightly lower monthly income per capita that year, reaching an average of 6.22 million Vietnamese dong. In that year, the monthly average income per capita of the whole country was at 4.96 million Vietnamese dong.

Abstract

The STEP (Skills Toward Employment and Productivity) Measurement program is the first ever initiative to generate internationally comparable data on skills available in developing countries. The program implements standardized surveys to gather information on the supply and distribution of skills and the demand for skills in labor market of low-income countries.

The uniquely-designed Household Survey includes modules that measure the cognitive skills (reading, writing and numeracy), socio-emotional skills (personality, behavior and preferences) and job-specific skills (subset of transversal skills with direct job relevance) of a representative sample of adults aged 15 to 64 living in urban areas, whether they work or not. The cognitive skills module also incorporates a direct assessment of reading literacy based on the Survey of Adults Skills instruments. Modules also gather information about family, health and language.

Geographic coverage

The survey covers the urban area of two largest cities of Vietnam, Ha Noi and HCMCT.

Analysis unit

The units of analysis are the individual respondents and households. A household roster is undertaken at the start of the survey and the individual respondent is randomly selected among all household members aged 15 to 64 included. The random selection process was designed by the STEP team and compliance with the procedure is carefully monitored during fieldwork.

Universe

The STEP target population is the population aged 15 to 64 included, living in urban areas, as defined by each country's statistical office. In Vietnam, the target population comprised all people from 15-64 years old living in urban areas in Ha Noi and Ho Chi Minh City (HCM).

The reasons for selection of these two cities include :

(i) They are two biggest cities of Vietnam, so they would have all urban characteristics needed for STEP study, and (ii) It is less costly to conduct STEP survey in these to cities, compared to all urban areas of Vietnam, given limitation of survey budget.

• The target population is not representative for the national urban population.

The following are excluded from the sample:

• Residents of institutions (prisons, hospitals, etc)
• Residents of senior homes and hospices
• Residents of other group dwellings such as college dormitories, halfway homes, workers' quarters, etc
• Persons living outside the country at the time of data collection

Kind of data

Sample survey data [ssd]

Sampling procedure

• The sample of 3405 households was selected from 227 urban Enumeration Areas (EAs) in Ha Noi (107 EAs) and Ho Chi Minh City (120 EAs). From each EA 15 households were selected, so the number of households selected in Ha Noi was 1245 HHs, and in HCM, 2160 HHs.
• The 2009 Population and Housing Census was used as a sample frame.
• Regarding PSUs (EAs), the sampling frame is the list of 15% of total EAs of the 2009 Population Census. Data items on the frame for PSU include provincecode, districtcode, commune code, and EA code; address of EA, number of households.
• Regarding ultimate sampling units (households), sampling frame is a list of (100) households in each EA. Data items on the frame for ultimate sampling units (households) include names of heads of households.

The sample frame includes the list of urban EAs and the count of households for each EA. Changes of the EAs list and household list would impact on coverage of sample frame. In a recent review of Ha Noi, there were only 3 EAs either new or destroyed from 140 randomly selected Eas (2%). GSO would increase the coverage of sample frame (>95% as standard) by updating the household list of the selected Eas before selecting households for STEP.

A detailed description of the sample design is available in section 4 of the NSDPR provided with the metadata. On completion of the household listing operation, GSO will deliver to the World Bank a copy of the lists, and an Excel spreadsheet with the total number of households listed in each of the 227 visited PSUs.

Mode of data collection

Face-to-face [f2f]

Research instrument

The STEP survey instruments include: (i) a Background Questionnaire developed by the WB STEP team (ii) a Reading Literacy Assessment developed by Educational Testing Services (ETS).

All countries adapted and translated both instruments following the STEP Technical Standards: 2 independent translators adapted and translated the Background Questionnaire and Reading Literacy Assessment, while reconciliation was carried out by a third translator. The WB STEP team and ETS collaborated closely with the survey firms during the process and reviewed the adaptation and translation to Vietnamese (using a back translation). - The survey instruments were both piloted as part of the survey pretest. - The adapted Background Questionnaires are provided in English as external resources. The Reading Literacy Assessment is protected by copyright and will not be published.

Cleaning operations

STEP Data Management Process 1. Raw data is sent by the survey firm 2. The WB STEP team runs data checks on the Background Questionnaire data. - ETS runs data checks on the Reading Literacy Assessment data. - Comments and questions are sent back to the survey firm. 3. The survey firm reviews comments and questions. When a data entry error is identified, the survey firm corrects the data. 4. The WB STEP team and ETS check the data files are clean. This might require additional iterations with the survey firm. 5. Once the data has been checked and cleaned, the WB STEP team computes the weights. Weights are computed by the STEP team to ensure consistency across sampling methodologies. 6. ETS scales the Reading Literacy Assessment data. 7. The WB STEP team merges the Background Questionnaire data with the Reading Literacy Assessment data and computes derived variables.

Detailed information data processing in STEP surveys is provided in the 'Guidelines for STEP Data Entry Programs' document provided as an external resource. The template do-file used by the STEP team to check the raw background questionnaire data is provided as an external resource.

Response rate

The response rate for Vietnam (urban) was 62%. (See STEP Methodology Note Table 4).

Sampling error estimates

A weighting documentation was prepared for each participating country and provides some information on sampling errors. All country weighting documentations are provided as an external resource.

As of the first quarter of 2023, Hai Phong was the centrally controlled city with the highest gross regional domestic product growth rate among all the municipalities in Vietnam, at 9.65 percent. Ha Noi, the capital city of the country, recorded a GRDP growth rate of nearly six percent that year. By comparison, the GRDP of Ho Chi Minh City, the largest city in Vietnam, only increased by almost one percent in the same year.

The Commercial Real Estate in Vietnam is Segmented by Type (Offices, Retail, Industrial, Logistics, Multi-family, and Hospitality) and Key Cities (Ho Chi Minh City, Hanoi, Quang Ninh, Da Nang, and Rest of Vietnam). The report offers market size and forecast for Vietnam's commercial real estate market in value (USD billion) for the above segments.

In 2023, the population of Ho Chi Minh City reached approximately 9.46 million inhabitants, showing an increase compared to the year before. Formerly known as Saigon, Ho Chi Minh City is the largest and most populous city in Vietnam.

Abstract

This Labour Force Survey was conducted by the General Statistics Office of Viet Nam in 2014. The main objectives of the surveys are to collect basic information on Viet Nam's labour market in 2014 in accordance with previous LFS studies and international standards. The data was collected using two-stage stratified sampling; the sampling frame is the sample 15% enumeration areas of the 2009 Population and Housing Census.The sample size of the survey is 50,640 households per quarter, equivalent to 16,880 households per month. Data covers the whole country, urban/rural areas; 6 socio-economic regions, Hanoi and Ho Chi Minh city for quarterly and all 63 centrally governed provinces for yearly.

The target universe includes population ages 15 and over. Sampling units are households; all eligible individuals in sampled households comprise the sample for the survey.

This is an in-depth survey with complicated contents. For each month, 12 to 22 enumeration areas per province are selected, 15-20 households are enumerated at each of the enumeration areas (for Hanoi and Ho Chi Minh City, there are 80 and 63 enumeration areas, respectively).

Geographic coverage

Whole country

Analysis unit

• Households
• Individuals ages 15 and above

Universe

Population ages 15 and over (working age population).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample size of the survey is 50,640 households per quarter, equivalent to 16,880 households per month. Sample size was designed to ensure the statistical significance of data for region by quarter and for province by year. Households were randomly selected from the 15% sample enumeration areas of the Population and Housing Census 2009 following a two-stage procedure: 1. Selecting enumeration areas 2. Selecting households. All residents ages 15 and above were interviewed and enumerated.

Sample Frame: The sample of the 2014 Labour force survey is the two-stage stratified sample, presented for the whole country, urban/rural areas; 6 socio-economic regions, Hanoi and Ho Chi Minh City for quarterly and all centrally governed cities/provinces for yearly. Each centrally governed province, city constitutes a main stratum with two sub-stratums of urban areas and rural areas. The sample frame is the 15% sample enumeration areas of the 2009 Population and Housing Census.

Sample design: The survey followed a two-stage stratified sampling procedure designed as follows: - Stage 1 (selecting enumeration areas): Each centrally governed city/province constitutes a main stratum, after that, each main stratum was divided into 2 sub-stratums within each representing "urban" and "rural" areas. Then, the list of enumeration areas of cities/provinces (the master sampling frame was taken from the sampling frame 15% of the Population and Housing Census 2009) was divided into 2 independent samples (urban and rural) and enumeration areas were chosen by the Kish method. - Stage 2 (selecting households): for each enumeration area defined in stage 1, 15 enumeration households (55 provinces) or 20 enumeration households (8 provinces: Cao Bang, Bac Kan, Lao Cai, Lai Chau, Kon Tum, Gia Lai, ?ak Nong v? Binh D??ng) were systematically chosen.

Mode of data collection

Face-to-face [f2f]

Research instrument

Single questionnaire covering: - Household characteristcs - Individual characterists for those ages 15 and over as well as information on economic activity or inactivity

Vietnam's Residential Real Estate Market Report is Segmented by Type (villas and Landed Houses, Condominiums, and Apartments) and by City (Ho Chi Minh City, Hanoi, Danang, Quang Ninh, and the Rest of Vietnam). The Report Offers Market Size and Forecasts for the Vietnamese Residential Real Estate Market in USD for all the Above Segments.

Abstract

The objective of the Labour Force Survey 2009 is to collect basic information on labor maket in 2009, comparable with previous annual labour force surveys, in accordance with international standards to be used since 2010. In addition, the survey will support for assessing the impacts of the global economic downturn to the labour market. It was expected that the data taken from the survey would represent to the national level, urban/rural, six socialeconomic zones as well as two main cities – Hanoi city and Hochiminh city.

Geographic coverage

National

Analysis unit

Household Individual

Universe

The target universe (U) for the 2009 LFS consists of individuals aged 15 years old and over (working age population). Sampling units are households; all eligible individuals in sampled households comprise the sample for the survey. A target sample size of approximate 18,000 households is more than enough to provide reliable estimates for each of the sixteen domains.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample size of the survey is about 18,000 households. Households were selected randomly from the list of 15% sample enumeration areas of Population and Housing Census 2009, by 2 levels: Level 1: Selecting enumeration areas, Level 2: Selecting household. All usual residents of these selected households were interviewed and enumerated.

Sampling domain: The 2009 Labour Force Survey (LFS) is a nationally representative survey. In addition to national-level estimates, disaggregated by urban and rural areas, the survey was designed to provide reliable estimates for sixteen domains comprised of urban and rural areas of six social-economic regions and the cities of Hanoi and Ho Chi Minh. Table 1 in the Survey Report provided as external resources shows initial sample sizes(number of sampled households) by domain.

Sample Design: The sample of the 2009 Labour Force Survey was drawn using a two phase design. First phase: corresponds to the selection of the 15% census sample of the 2009 Census of Population and Housing (See Instruction No 11/VPBCÐTW-HD for sample selection in the Population and Housing Census 2009). Second phase: consists of selecting the 7,840 sample households from the 15% census sample. This follows the standard two stage sample design calls for: Stage 1: Select sample of EAs. For the 2009 Labour Force Survey, the EAs are the census enumeration areas for the 2009 Census of Population and Housing (CPH). The sampling frame for stage 1 is the 15% census sample which was designed by General Statistic Office (GSO) as part of the 2009 CPH to serve as future master sampling frame for household surveys. Stage 2: Select sample of households (subsample size) from each sample EA selected in stage 1. The households were systematically selected for each of the areas chosen in the first stage, based on the household lists of the 2009 Population and Housing Census and being updated closely to the time-point of the survey.

Mode of data collection

Face-to-face [f2f]

Research instrument

The content of the survey was designed into 2 questionnaires. The Household Schelude collected information on individual characteristics of population and the Individual Questionnaire was for those 15 and over to collect detailed information on economic characteristics of labour force.

Cleaning operations

The data entry and data processing was carried out by the Department of Population and Labour Statistics collaborating with the Center of Statistics Informatics. In the questionnaire, there were questions on occupation and industry, and the coding of these questions was assigned to the Provincial Statistics Offices (PSO). The coding was done in combination with the checking of questionnaires by PSOs as long as a requirement that provincial staff had to check 100% of the completed questionnaires before handing over the General Statistics Office. Here, a number of consistency checks of data were undertaken, using software developed to attach at the computer’s data processing system.

Response rate

In the total of 18,025 households selected for the survey, only 181 households did not respond to the survey although enumerators contacted those households several times. These mainly consisted of households that were vacant during the survey period. Apart from these 181 households, the remaining households were fully contacted and interviewed by field enumerators, and the survey achieved a completeness rate of 99.0%.

Vietnam Luxury Residential Real Estate Market size was valued at USD 3.9 Billion in 2024 and is projected to reach USD 8.3 Billion by 2032, growing at a CAGR of 10% during the forecast period 2025 to 2032.
Vietnam Luxury Residential Real Estate Market: Definition/Overview

Vietnam luxury residential real estate is defined as high-end residential properties in prime locations that provide exceptional quality, design, amenities, and services. These houses are often found in large cities like Hanoi, Ho Chi Minh City, and seaside areas, drawing both wealthy local purchasers and foreign investors. Luxury residential real estate consists of premium villas, penthouses, condominiums, and exclusive gated communities, with amenities such as panoramic views, cutting-edge technology, high-end finishes, and access to recreational facilities such as private pools, gyms, and spas.

Abstract

The household registration system known as ho khau has been a part of the fabric of life in Vietnam for over 50 years. The system was used as an instrument of public security, economic planning, and control of migration, at a time when the state played a stronger role in direct management of the economy and the life of its citizens. Although the system has become less rigid over time, concerns persist that ho khau limits the rights and access to public services of those who lack permanent registration in their place of residence. Due largely to data constraints, however, previous discussions about the system have relied largely on anecdotal or partial information.

Drawing from historical roots as well as the similar model of China’s hukou, the ho khau system was established in Vietnam in 1964. The 1964 law established the basic parameters of the system: every citizen was to be registered as a resident in one and only household at the place of permanent residence, and movements could take place only with the permission of authorities. Controlling migration to cities was part of the system’s early motivation, and the system’s ties to rationing, public services, and employment made it an effective check on unsanctioned migration. Transfer of one’s ho khau from one place to another was possible in principle but challenging in practice.

The force of the system has diminished since the launch of Doi Moi as well as a series of reforms starting in 2006. Most critically, it is no longer necessary to obtain permission from the local authorities in the place of departure to register in a new location. Additionally, obtaining temporary registration status in a new location is no longer difficult. However, in recent years the direction of policy changes regarding ho khau has been varied. A 2013 law explicitly recognized the authority of local authorities to set their own policies regarding registration, and some cities have tightened the requirements for obtaining permanent status.

Understanding of the system has been hampered by the fact that those without permanent registration have not appeared in most conventional sources of socioeconomic data. To gather data for this project, a survey of 5000 respondents in five provinces was done in June-July 2015. The samples are representative of the population in 5 provinces – Ho Chi Minh City, Ha Noi, Da Nang, Binh Duong and Dak Nong. Those five provinces/cities are among the provinces with the highest rate of migration as estimated using data from Population Census 2009.

Geographic coverage

5 provinces – Ho Chi Minh City, Ha Noi, Da Nang, Binh Duong and Dak Nong.

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling for the Household Registration Survey was conducted in two stages. The two stages were selection of 250 enumeration areas (50 EAs in each of 5 provinces) and then selection of 20 households in each selected EA, resulting in a total sample size of 5000 households. The EAs were selected using Probability Proportional to Size (PPS) method based on the square number of migrants in each EA, with the aim to increase the probability of being selected for EAs with higher number of migrants. “Migrants” were defined using the census data as those who lived in a different province five years previous to the census. The 2009 Population Census data was used as the sample frame for the selection of EAs. To make sure the sampling frame was accurate and up to date, EA leaders of the sampled EAs were asked to collection information of all households regardless of registration status at their ward a month before the actual fieldwork. Information collected include name of head of household, address, gender, age of household’s head, household phone number, residence registration status of household, and place of their registration 5 years ago. All households on the resulting lists were found to have either temporary or permanent registration in their current place of residence.

Using these lists, selection of survey households was stratified at the EA level to ensure a substantial surveyed population of households without permanent registration. In each EA random selection was conducted of 12 households with temporary registration status and 8 households with permanent registration status. For EAs where the number of temporary registration households was less than 12, all of the temporary registration households were selected and additional permanent registration households were selected to ensure that each EA had 20 survey households. Sampling weights were calculated taking into the account the selection rules for the first and second stages of the survey.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was mostly adapted from the Vietnam Household Living Standard Survey (VHLSS), and the Urban Poverty Survey (UPS) with appropriate adjustment and supplement of a number of questions to follow closely the objectives of this survey. The household questionnaire consists of a set of questions on the following contents:

• Demographic characteristics of household members with emphasis on their residence status in terms of both administrative management (permanent/temporary residence book) and real residential situation. • Education of household members. Beside information on education level, the respondents are asked whether a household member attend school as “trai-tuyen” , how much “trai-tuyen” fee/enrolment fee, and difficulty in attending schools without permanent residence status. • Health and health care, collecting information on medical status and health insurance card of household members. • Labour and employment, asking household member’s employment status in the last 30 days; their most and second-most time-consuming employment during the last 30 days; and whether they had been asked about residence status when looking for job. • Assets and housing conditions. This section collects information on household’s living conditions such as assets, housing types and areas, electricity, water and energy. • Income and expenditure of households. • Social inclusion and protection. The respondents are asked whether their household members participate in social organizations, activities, services, contribution; whether they benefit from any social project/policy; do they have any loans within the last 12 months; and to provide information about five of their friends at their residential area. • Knowledge on the Law of Residence, current regulations on conditions for obtaining permanent residence, experience dealing with residence issues, and opinion on current household registration system of the respondents.

Cleaning operations

Managing and Cleaning the Data

Data were managed and cleaned each day immediately upon being received, which occurred at the same time as the fieldwork surveys. At the end of each workday, the survey teams were required to review all of the interviews conducted and transfer collected data to the server. The data received by the main server were downloaded and monitored by MDRI staff.

At this stage, MDRI assigned a technical team to work on the data. First, the team listened to interview records and used an application to detect enumerators’ errors. In this way, MDRI quickly identified and corrected the mistakes of the interviewers. Then the technical team proceeded with data cleaning by questionnaire, based on the following quantity and quality checking criteria.

• Quantity checking criteria: The number of questionnaires must be matched with the completed interviews and the questionnaires assigned to each individual in the field. According to the plan, each survey team conducted 20 household questionnaires in each village. All questionnaires were checked to ensure that they contained all essential information, and duplicated entries were eliminated. • Quality checking criteria: Our staff performed a thorough examination of the practicality and logic of the data. If there was any suspicious or inconsistent information, the data management team re – listened to the records or contacted the respondents and survey teams for clarification via phone call. Necessary revisions would then be made.

Data cleaning was implemented by the following stages: 1. Identification of illogical values; 2. Software – based detection of errors for clarification and revision; 3. Information re-checking with respondents and/or enumerators via phone or through looking at the records; 4. Development and implementation of errors correction algorithms; The list of detected and adjusted errors is attached in Annex 6.

Outlier detection methods The data team applied a popular non - parametric method for outlier detection, which can be done with the following procedure: 1. Identify the first quartile Q1 (the 25th percentile data point) 2. Identify the third quartile Q3 (the 75th percentile data point) 3. Identify the inter-quartile range(IQR): IQR=Q3-Q1 4. Calculate lower limits (L) and upper limits (U) by the following formulas: o L=Q1-1.5*IQR o U=Q3+1.5*IQR 5. Detect outliers by the rule: An observation is an outlier if it lies below the lower bound or beyond the upper bound (i.e. less than L or greater than U)

Data Structure The completed dataset for the “Household registration survey 2015” includes 9 files in STATA format (.dta): • hrs_maindata: Information on the households, including: assets, housing, income, expenditures, social inclusion and social protection issues, household registration procedures • hrs_muc1: Basic information on the

During Tet in 2024, Da Nang received around 177,000 international visitors, making it the leading destination in Vietnam for foreign tourists during this time. Tet, also known as the Vietnamese New Year, is the most important holiday in Vietnamese culture. Tet usually lasts at least a week, falling between January and February each year.

Ho Chi Minh City is the dominant region in the Vietnam steel market, due to the city's rapid industrialization, extensive infrastructure projects, and its role as a major commercial hub. The presence of large industrial parks and manufacturing facilities further consolidates its leading position. Ho Chi Minh City is the dominant region in the Vietnam steel market, due to the city's rapid industrialization, extensive infrastructure projects, and its role as a major commercial hub. The presence of large industrial parks and manufacturing facilities further consolidates its leading position.

The Vietnam hotel market, valued at $2.87 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 19.4% from 2025 to 2033. This significant expansion is fueled by several key drivers. Firstly, a surge in international and domestic tourism, driven by Vietnam's growing popularity as a travel destination, is creating high demand for hotel accommodations. Secondly, increasing business travel and investment in infrastructure projects further contribute to this growth. The market is segmented by application (tourist accommodation and official business) and hotel type (chain hotels and independent hotels). Chain hotels, leveraging their brand recognition and established networks, hold a substantial market share, while independent hotels cater to specific niche markets and offer personalized services. The competitive landscape is dynamic, with both international and domestic players vying for market share. Major players such as Accor, Marriott, and Hilton compete with local brands like Vinpearl and Muong Thanh Hospitality. Successful strategies involve targeted marketing campaigns, strategic partnerships, and investments in enhancing the guest experience through improved amenities and technology. While the market faces challenges such as seasonal fluctuations in tourism and potential economic instability, the long-term outlook remains positive, given Vietnam's economic growth trajectory and increasing appeal as a tourism hotspot. The forecast period from 2025 to 2033 anticipates continued strong growth, with the market size likely exceeding $10 billion by 2033. This projection factors in the anticipated expansion of Vietnam's tourism sector, infrastructure developments, and the increasing sophistication of the hotel industry in the country. However, sustained growth hinges on the successful management of potential restraints such as environmental concerns, sustainable tourism practices, and effective infrastructure development to support the burgeoning tourist influx. The increasing focus on luxury travel and personalized experiences will also shape future market trends, influencing the strategies of both established and emerging hotel operators. Competition will intensify, necessitating continuous innovation and strategic adaptation within the Vietnam hotel market.

Vietnam Real Estate & Mortgage Market Report is Segmented by Type (Residential, Retail, Logistics/Industrial, Hospitality, and Office), Value (Premium, Luxury, and Affordable), and Key Cities (Ho Chi Minh City, Hanoi, Quang Ninh, and Da Nang). The Report Offers Market Sizes and Forecasts in Value (USD) for all the Above Segments.

During Tet of 2024, Ho Chi Minh City recorded a tourism revenue of over 6.5 trillion Vietnamese dong. Tet, also known as Vietnamese New Year, is the most important holiday in the Vietnamese culture, which falls between January and February each year. The official holiday lasts at least seven days, which usually leads to an increase in travel activities among tourists.

The Vietnam Luxury Real Estate Market Report Segmented by Type (Apartments and Condominiums, Villas, and Landed Houses) and by Cities (Ho Chi Minh City, Ha Noi, and Other Cities). The Report Offers Market Size and Forecast in Values (USD Billion) for all the Above Segments.