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.

This dataset is about cities in Vietnam, featuring 3 columns: city, country, and population. The preview is ordered by population (descending).

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.

Vietnam Population: Ho Chi Minh City (HCMC) data was reported at 8,643.044 Person th in 2017. This records an increase from the previous number of 8,441.902 Person th for 2016. Vietnam Population: Ho Chi Minh City (HCMC) data is updated yearly, averaging 6,239.938 Person th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 8,643.044 Person th in 2017 and a record low of 4,541.470 Person th in 1993. Vietnam Population: Ho Chi Minh City (HCMC) data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G007: Population: Ho Chi Minh City.

Vietnam Population: Annual Avg: South East: Ho Chi Minh City data was reported at 8,444.600 Person th in 2017. This records an increase from the previous number of 8,287.000 Person th for 2016. Vietnam Population: Annual Avg: South East: Ho Chi Minh City data is updated yearly, averaging 5,908.350 Person th from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 8,444.600 Person th in 2017 and a record low of 4,143.600 Person th in 1990. Vietnam Population: Annual Avg: South East: Ho Chi Minh City data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G001: Population.

Vietnam Population: Hanoi: Birth Rate: Whole City data was reported at 15.860 ‰ in 2017. This records an increase from the previous number of 15.850 ‰ for 2016. Vietnam Population: Hanoi: Birth Rate: Whole City data is updated yearly, averaging 16.535 ‰ from Dec 2000 (Median) to 2017, with 14 observations. The data reached an all-time high of 19.970 ‰ in 2012 and a record low of 15.850 ‰ in 2016. Vietnam Population: Hanoi: Birth Rate: Whole City data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.G012: Vital Statistics: Birth Rate: Hanoi.

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 Population Density: SE: Ho Chi Minh city data was reported at 4,513.100 Person/sq km in 2023. This records an increase from the previous number of 4,481.000 Person/sq km for 2022. Vietnam Population Density: SE: Ho Chi Minh city data is updated yearly, averaging 4,196.400 Person/sq km from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 4,513.100 Person/sq km in 2023 and a record low of 3,633.100 Person/sq km in 2011. Vietnam Population Density: SE: Ho Chi Minh city data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G003: Population Density: By Provinces.

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.

Vietnam Population: HCMC: Males data was reported at 4,138.632 Person th in 2017. This records an increase from the previous number of 4,041.641 Person th for 2016. Vietnam Population: HCMC: Males data is updated yearly, averaging 2,996.516 Person th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 4,138.632 Person th in 2017 and a record low of 2,139.033 Person th in 1993. Vietnam Population: HCMC: Males data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G007: Population: Ho Chi Minh City.

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.

Chart and table of population level and growth rate for the Ha Noi, Vietnam metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

Vietnam Population: HCMC: Rural data was reported at 1,654.724 Person th in 2017. This records an increase from the previous number of 1,582.979 Person th for 2016. Vietnam Population: HCMC: Rural data is updated yearly, averaging 1,244.184 Person th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 1,654.724 Person th in 2017 and a record low of 859.118 Person th in 2000. Vietnam Population: HCMC: Rural data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G007: Population: Ho Chi Minh City.

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.

In 2023, the population living in urban areas in Vietnam accounted for 38.1 percent of the total population. Since the past years, the share of the urban population in the country has been growing steadily year on year.

In 2023, on average, 4,513 people were living in a square kilometer in Ho Chi Minh City, Vietnam. As the most crowded city in the country, the population density of Ho Chi Minh City has been steadily increasing during the given period. In less than ten years, this figure rose by around 800 inhabitants per square kilometer.

Vietnam Population: Hanoi: Birth Rate: City: Son Tay data was reported at 12.670 ‰ in 2017. This records a decrease from the previous number of 13.190 ‰ for 2016. Vietnam Population: Hanoi: Birth Rate: City: Son Tay data is updated yearly, averaging 14.660 ‰ from Dec 2000 (Median) to 2017, with 14 observations. The data reached an all-time high of 18.560 ‰ in 2012 and a record low of 12.670 ‰ in 2017. Vietnam Population: Hanoi: Birth Rate: City: Son Tay data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.G012: Vital Statistics: Birth Rate: Hanoi.

In 2023, the population density of Vietnam was around 303 people per square kilometer of land area. In that year, Vietnam's total population reached approximately 100.3 million. The country is among those with the highest population density in the Asia Pacific region, ranking 11th in 2020. Population density in Vietnam In comparison, Vietnam’s population density is roughly twice as much as China and Indonesia. The average population density in the world is at 59 inhabitants per square kilometer. The largest population within the country can be found in the Red River Delta and the Mekong River Delta. The most populated city is Ho Chi Minh City with roughly nine million inhabitants. Population growth in Vietnam Vietnam’s total population was forecast to surpass 100 million by 2050. Traditionally, Vietnamese families had an average of six children, while today, the birth rate is at two children per woman. This is due to an improving economy and higher living standards. In 2020, the population growth in Vietnam reached 0.90 percent, down from about three percent in the 1960s.

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