In 2023, Ho Chi Minh City was the largest municipality in Vietnam, with a population of over *** 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.

Population in largest city in Vietnam was reported at 9567656 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Vietnam - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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.

Vietnam VN: Population in Largest City: as % of Urban Population data was reported at 23.394 % in 2017. This records an increase from the previous number of 23.302 % for 2016. Vietnam VN: Population in Largest City: as % of Urban Population data is updated yearly, averaging 23.202 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 29.151 % in 1960 and a record low of 21.883 % in 1993. Vietnam VN: Population in Largest City: as % of Urban Population 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: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

Population in the largest city (% of urban population) in Vietnam was reported at 23.57 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Vietnam - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

Vietnam VN: Population in Largest City data was reported at 7,870,501.000 Person in 2017. This records an increase from the previous number of 7,604,915.000 Person for 2016. Vietnam VN: Population in Largest City data is updated yearly, averaging 2,905,317.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7,870,501.000 Person in 2017 and a record low of 1,400,000.000 Person in 1960. Vietnam VN: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

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 *** million Vietnamese dong. People living in Da Nang had a slightly lower monthly income per capita that year, reaching an average of **** million Vietnamese dong. In that year, the monthly average income per capita of the whole country was at **** million Vietnamese dong.

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.

This horizontal bar chart displays female population (people) by capital city using the aggregation sum in Vietnam. The data is filtered where the date is 2021. The data is about countries per year.

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.

This horizontal bar chart displays ranking by city using the aggregation sum in Vietnam. The data is about universities.

This horizontal bar chart displays net migration (people) by capital city using the aggregation sum in Vietnam. The data is filtered where the date is 2021. The data is about countries per year.

In 2023, the population of Ho Chi Minh City reached approximately **** 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.

This horizontal bar chart displays inflation (annual %) by capital city using the aggregation median in Vietnam. The data is filtered where the date is 2021. The data is about countries per year.

The Vietnam ride-hailing market, valued at $880 million in 2025, is experiencing robust growth, projected to expand at a 19.5% Compound Annual Growth Rate (CAGR) from 2025 to 2033. This expansion is fueled by several key factors. Increasing urbanization and rising disposable incomes within Vietnam are driving greater demand for convenient and affordable transportation options. The proliferation of smartphones and readily available internet access has significantly increased the adoption of ride-hailing apps, contributing to the market's rapid growth. Furthermore, the expansion of e-commerce and the rise of delivery services are creating synergistic opportunities for ride-hailing companies to diversify their revenue streams beyond passenger transportation. The market is segmented by vehicle type (passenger cars and motorcycles), propulsion type (ICE and electric), and geographic location, with major cities like Hanoi, Ho Chi Minh City, and others contributing significantly to overall market size. Competition is fierce, with established players like Grab, Gojek (now GoViet), and Vinasun competing with newer entrants and local companies. The ongoing development of electric vehicle infrastructure in Vietnam presents a considerable opportunity for ride-hailing services to transition towards more sustainable and environmentally friendly operations, further shaping future market dynamics. Regulatory changes and government initiatives concerning traffic management and environmental sustainability could impact the growth trajectory in the coming years. The competitive landscape necessitates continuous innovation and strategic adaptations by ride-hailing companies. Factors such as driver compensation models, technological advancements in app functionality (including enhanced safety features and payment options), and effective marketing strategies will play critical roles in market share acquisition and retention. Expansion into underserved areas and targeting specific demographic groups are also crucial strategies for growth. The market's future success will largely depend on the companies' ability to navigate these challenges, adapt to evolving consumer preferences, and capitalize on emerging opportunities related to technological advancements and sustainable transportation solutions. This comprehensive report provides an in-depth analysis of the rapidly evolving Vietnam ride-hailing market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period extending to 2033, this report offers invaluable insights for businesses, investors, and policymakers seeking to understand this dynamic sector. The report analyzes market trends, competitive landscapes, and future growth potential, incorporating data from key players like Grab, Gojek, and Vinasun, alongside emerging players such as Xanh SM and Mai Linh. We delve into crucial market segments including motorcycle taxis, passenger cars, ICE vehicles, electric vehicles, and regional breakdowns focusing on major cities such as Hanoi and Ho Chi Minh City, as well as expanding provinces like Binh Duong and Dong Nai. The report's detailed analysis of market size (in millions of USD), key drivers, challenges, and emerging trends, makes it an indispensable resource for navigating the complexities of the Vietnam ride-hailing market. Recent developments include: March 2024: Following successful launches in Vientiane and the tourist town of Vang Vieng, Xanh SM Laos officially expanded its electric taxi service to Savannakhet Province. This marks Xanh SM’s next step in brand development and the company’s continued commitment toward promoting electric vehicles and environmental protection worldwide., January 2024: Mai Linh Corporation expanded its services in Hanoi, Da Nang, and DongNai to further strengthen its legacy in the ride-hailing market., October 2023: Gojek, the Indonesian technology firm, announced its expansion into Binh Duong (Di An, Thuan An, and Thu Dau Mot) and Dong Nai (Bien Hoa) provinces, situated as neighboring cities to Ho Chi Minh City (HCMC)., June 2023: VinFast announced the launch of VF 3, a mini electric car model designed for the Vietnamese market. The VinFast VF 3, categorized as a mini car, presents various advantages, rendering it appropriate for diverse applications and conditions.. Key drivers for this market are: Increased Travel and Tourism to Provide Long-term Momentum in Market, Increased Internet and Smartphone Penetration to Drive Market Demand. Potential restraints include: High Purchase and Maintenance Costs. Notable trends are: Passenger Cars will Continue to be the Largest Segment.

The Vietnam real estate and mortgage market presents a compelling investment opportunity, exhibiting robust growth and significant potential. With a 2025 market size of $47.59 billion and a Compound Annual Growth Rate (CAGR) of 12.94% projected through 2033, the sector is poised for substantial expansion. Key drivers include a burgeoning population, rapid urbanization, increasing disposable incomes, and government initiatives promoting infrastructure development and foreign investment. Strong demand across residential, retail, logistics/industrial, hospitality, and office segments fuels this growth. The market is segmented by property value (premium, luxury, affordable), reflecting diverse consumer preferences and affordability levels. Major cities like Ho Chi Minh City and Hanoi are key growth centers, attracting significant investment and development. While challenges such as land scarcity and regulatory hurdles exist, the overall outlook remains positive, supported by the sustained economic growth and increasing middle class in Vietnam. Prominent developers like Vingroup, Dat Xanh Group, and Novaland Group are shaping the market landscape, contributing significantly to the ongoing construction and development activities across various property types. The mortgage market complements this real estate boom, providing crucial financing for both individual homebuyers and large-scale development projects. The long-term forecast anticipates continued expansion across all segments, although the growth rate may moderate slightly in later years as the market matures. The segmentation within the market offers further insights into its dynamics. The residential sector, driven by a young and growing population, represents a significant portion of the market. The increasing demand for modern and efficient logistics facilities contributes to the growth of the industrial sector. The hospitality and office segments are benefiting from the rising tourism sector and increasing foreign investment. The premium and luxury segments cater to a growing affluent population, while the affordable segment serves the vast majority of the population, indicating a diverse and robust market structure that caters to varying income levels and preferences. Analyzing the market performance across key cities such as Ho Chi Minh City and Hanoi will provide detailed understanding of geographical variations in demand and supply within the Vietnam real estate market. Further, understanding the role of mortgage finance and the various lending institutions involved is crucial to a complete market analysis. Recent developments include: November 2023: Phat Dat Real Estate Development Joint Stock Company and Military Commercial Joint Stock Bank (MB Bank) signed a comprehensive cooperation agreement with the purpose of financial sponsorship for investors and customers. The sponsored project is the Thuan An 1 and 2 high-rise housing complex with a scale of 4.47 hectares, located in a prime location right in the central area of Thuan An City, connected to many large industrial clusters in Binh Duong. The project completed its legality with an investment of more than VND 10,800 billion, including apartment products, shophouses, and townhouses.June 2023: The world's largest contract electronics maker and assembler, Foxconn, received approval from Vietnam to invest USD 246 million in two new projects in the northern province of Quang Ninh.. Key drivers for this market are: Ho Chi Minh City and Hanoi Experiencing Rapid Urban Expansion, Streamlined Real Estate Lending Services. Potential restraints include: Ho Chi Minh City and Hanoi Experiencing Rapid Urban Expansion, Streamlined Real Estate Lending Services. Notable trends are: Residential Segment Experiencing Rapid Growth in the Market.

Vietnam Rental And Sale Real Estate Dataset in Feb 2025

This dataset contains rental property listings from various cities and provinces across Vietnam. It includes details such as location, rental price, property area, number of bedrooms, and number of bathrooms. The data can be used for analyzing rental trends, comparing property prices across regions, and identifying patterns in Vietnam’s real estate market.

Dataset Overview

Geographic Coverage: Listings come from different provinces and major cities in Vietnam, including Hà Nội, Hồ Chí Minh City, Đà Nẵng, and other regions. Price (price): Represents the monthly rental cost and sale price, typically listed in Vietnamese đồng (VND). Some listings have negotiable pricing indicated as "Giá thỏa thuận". Area (area): Specifies the total available space in square meters (m²), ranging from small apartments to large commercial or industrial properties. Bedrooms (bedrooms_num) and Bathrooms (bathrooms_num): - If both values are greater than zero, the listing is likely a residential property such as an apartment, house, or villa. - If both values are zero, the listing may not be a traditional residential building but could be an office space, commercial property, warehouse, or vacant land available for rent. Example Listings

Vietnam HSS: HS: Urban data was reported at 3.700 Person in 2016. This records a decrease from the previous number of 3.810 Person for 2014. Vietnam HSS: HS: Urban data is updated yearly, averaging 3.950 Person from Dec 2002 (Median) to 2016, with 8 observations. The data reached an all-time high of 4.270 Person in 2002 and a record low of 3.700 Person in 2016. Vietnam HSS: HS: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.H021: Household Living Standard Survey (HSS): Household Size .