Vietnam Consumer Price Index (CPI): Housing, and House Maintenance data was reported at 204.330 2000=100 in Oct 2009. This records an increase from the previous number of 203.210 2000=100 for Sep 2009. Vietnam Consumer Price Index (CPI): Housing, and House Maintenance data is updated monthly, averaging 132.300 2000=100 from Jul 2001 (Median) to Oct 2009, with 99 observations. The data reached an all-time high of 207.870 2000=100 in Apr 2008 and a record low of 102.400 2000=100 in Aug 2001. Vietnam Consumer Price Index (CPI): Housing, and House Maintenance data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.T015:Table VN.I015: Consumer Price Index: 2000=100. Rebased from 2005=100 to 2009=100. Replacement series ID: 228444402

This dataset provides values for HOUSE PRICE INDEX YOY reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2023, the consumer price index (CPI) for housing and construction materials in Vietnam was estimated at 106.58 index points, indicating an increase from the previous year. During that year, the country's overall CPI was at 103.25 index points.

Vietnam Consumer Price Index (CPI): PY=100: Annual: HCMC: Housing and Construction Materials data was reported at 104.430 Prev Year=100 in 2017. This records a decrease from the previous number of 106.850 Prev Year=100 for 2016. Vietnam Consumer Price Index (CPI): PY=100: Annual: HCMC: Housing and Construction Materials data is updated yearly, averaging 105.960 Prev Year=100 from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 116.800 Prev Year=100 in 2010 and a record low of 94.870 Prev Year=100 in 2014. Vietnam Consumer Price Index (CPI): PY=100: Annual: HCMC: Housing and Construction Materials 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.I028: Consumer Price Index: Ho Chi Minh City: Prev Dec=100.

Housing Index in Taiwan decreased to 168.42 points in the first quarter of 2025 from 169.46 points in the fourth quarter of 2024. This dataset provides - Taiwan House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Vietnam Consumer Price Index (CPI): Hanoi: Construction Materials: Residential Housing data was reported at 103.300 Prev Year=100 in 2017. This records an increase from the previous number of 101.500 Prev Year=100 for 2016. Vietnam Consumer Price Index (CPI): Hanoi: Construction Materials: Residential Housing data is updated yearly, averaging 107.215 Prev Year=100 from Dec 2000 (Median) to 2017, with 14 observations. The data reached an all-time high of 119.300 Prev Year=100 in 2011 and a record low of 98.400 Prev Year=100 in 2015. Vietnam Consumer Price Index (CPI): Hanoi: Construction Materials: Residential Housing data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.T021:Table VN.I021: Consumer Price Index: Hanoi: Annual.

Vietnam Consumer Price Index (CPI): Prev Dec=100: Housing and Construction Materials data was reported at 102.710 Prev Dec=100 in Oct 2018. This records an increase from the previous number of 102.390 Prev Dec=100 for Sep 2018. Vietnam Consumer Price Index (CPI): Prev Dec=100: Housing and Construction Materials data is updated monthly, averaging 102.535 Prev Dec=100 from Jan 1998 (Median) to Oct 2018, with 250 observations. The data reached an all-time high of 118.780 Prev Dec=100 in Aug 2008 and a record low of 98.055 Prev Dec=100 in Dec 2014. Vietnam Consumer Price Index (CPI): Prev Dec=100: Housing and Construction Materials data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I017: Consumer Price Index: Previous December=100.

Vietnam Consumer Price Index (CPI): MoM: Housing and Construction Materials data was reported at 0.310 % in Oct 2018. This records an increase from the previous number of 0.200 % for Sep 2018. Vietnam Consumer Price Index (CPI): MoM: Housing and Construction Materials data is updated monthly, averaging 0.310 % from Jan 2016 (Median) to Oct 2018, with 34 observations. The data reached an all-time high of 0.935 % in Aug 2017 and a record low of -0.410 % in Feb 2016. Vietnam Consumer Price Index (CPI): MoM: Housing and Construction Materials data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I005: Consumer Price Index: 2014=100: MoM & YoY Growth.

In 2023, the consumer price index (CPI) for household equipment and goods in Vietnam was estimated at 102.09 index points, indicating an increase from the previous year. During that year, the country's overall CPI was at 103.25 index points.

Vietnam Consumer Price Index (CPI): HCMC: Housing, and Construction Materials data was reported at 108.500 2014=100 in Jul 2018. This records an increase from the previous number of 108.260 2014=100 for Jun 2018. Vietnam Consumer Price Index (CPI): HCMC: Housing, and Construction Materials data is updated monthly, averaging 105.720 2014=100 from Jan 2016 (Median) to Jul 2018, with 31 observations. The data reached an all-time high of 108.500 2014=100 in Jul 2018 and a record low of 96.280 2014=100 in Feb 2016. Vietnam Consumer Price Index (CPI): HCMC: Housing, and Construction Materials 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.I025: Consumer Price Index: Ho Chi Minh City: 2014=100.

Vietnam: Furniture and household maintenance prices, world average = 100: The latest value from 2021 is 61.66 index points, an increase from 59.97 index points in 2017. In comparison, the world average is 82.49 index points, based on data from 165 countries. Historically, the average for Vietnam from 2017 to 2021 is 60.82 index points. The minimum value, 59.97 index points, was reached in 2017 while the maximum of 61.66 index points was recorded in 2021.

In 2023, the consumer price index (CPI) was highest in the education sector in Vietnam, which was estimated at approximately 107.44 index points. The housing and construction materials commodity group had a CPI of 106.58, the second-highest among all sectors.

Vietnam Consumer Price Index (CPI): Prev Dec=100: Hanoi: Housing and Construction Materials data was reported at 103.860 Prev Dec=100 in Jun 2018. This records a decrease from the previous number of 106.020 Prev Dec=100 for May 2018. Vietnam Consumer Price Index (CPI): Prev Dec=100: Hanoi: Housing and Construction Materials data is updated monthly, averaging 102.085 Prev Dec=100 from Aug 2008 (Median) to Jun 2018, with 118 observations. The data reached an all-time high of 117.090 Prev Dec=100 in Dec 2010 and a record low of 96.680 Prev Dec=100 in Dec 2014. Vietnam Consumer Price Index (CPI): Prev Dec=100: Hanoi: Housing and Construction Materials data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.I019: Consumer Price Index: Hanoi.

In the second quarter of 2022, the average price of an apartment in Ha Noi was around ***** U.S. dollars per square meter. In Ho Chi Minh City, the apartment price was much higher, at ***** U.S. dollars per square meter. Ha Noi and Ho Chi Minh City are the two largest cities in Vietnam.

The Vietnamese luxury apartment market has been experiencing robust growth, with a market size reaching USD 3.64 million in 2023. Driven by factors such as urban expansion, rising disposable incomes, and increasing demand for modern and luxurious living spaces, the market is projected to maintain its growth trajectory, expanding at a CAGR of 13.65% from 2023 to 2033. The market is segmented into apartments and condominiums, villas and landed houses, and cities such as Ho Chi Minh City, Ha Noi, and other major urban centers. Key market drivers include the growing affluence of the Vietnamese population, the increasing presence of multinational companies in the country, and the government's supportive policies for real estate development. However, the market is not without its challenges, including rising land prices, government regulations, and competition from other investment sectors. Major companies operating in this space include Nam Long Investment Corporation, CapitaLand, Phat Dat Real Estate Development Corporation, and Vingroup, among others. The government's focus on infrastructure development and economic diversification is expected to provide further impetus to the growth of the Vietnamese luxury apartment market in the coming years. Recent developments include: July 2023, Picking up and seeing off at the airport is one of the outstanding services of The Filmore Da Nang, contributing to perfecting the ultimate living space for its residents. This project increased its persuasiveness with solid implementation results during the most difficult period of the recent real estate market, confidently reaching its goal of becoming a desirable luxury apartment complex in Da Nang. Residents of The Filmore Da Nang can use the pick-up and drop-off service from home to Da Nang International Airport, with facilities and service standards equivalent to 5-star hotels and resorts., April 2023, Filmore Real Estate Development Joint Stock Company (Filmore Development) has just completed signing a memorandum of understanding (MOU) with POSCO E&C Group. The signing ceremony took place right at POSCO E&C headquarters in Korea. This is the opening event for an important cooperation between the two sides, aiming to exploit investment opportunities - developing luxury apartment projects in Ho Chi Minh City and a number of other fields in Vietnam.. Key drivers for this market are: 4., Incremental urbanization rate accelerates Vietnam's demand for luxury residential real estate4.; Growing middle-class buyers drive the market. Potential restraints include: 4., High imbalance in population versus real estate index. Notable trends are: Increasing Rich Population driving the Demand for Urban Branded Residences.

Abstract

The principal objective of the VNLSS is to collect basic data reflescting the actual living standard of the population. These data then be used for evaluating socio-economic development and formulationg policies to improve living standard. Followings are the main goals by the year of 2000. - Reduce the population growth rate less than 2 % peryear - Reduce the infant mortaility (under 5 years old) 0,81% (1990) to 0,55%; and from 0,46% (1990) to 0,3% (under one year old) - Reduce the mortality rate of women concerning the pregnancy and maternity - Reduce the malnutrition of children under 5years old from 51,5% at present to 40% in 1995 and under 30% by the year of 2000. Heavy malnutrition should not be existed by the year of 2000. - Population can access to safe water resources from 43% (1990) to 82% of which 40% to 80% in rural areas. Population use sanitary latrine from 22% (1990) to 65% of which in rural areas from 15% to 60% - 90 percent of children complete the endeavor universal first level education before the age of 15, and the rest should complete the third grade. By the year of 2000 no children at the age of 15 will be illiterate - Improve the cultural, spiritual life of the children, to ensure that 30% of communes (by the year of 1995) and 50% of communes (by the year of 2000) have entertaining place for children

The main information collected by the survey includes: - Household income and expenditures - Health and education - Employment and other productive and activities - Demographic characteristics and migration - Housing conditions

In addition, the information gatherd is intended to improve planning of economic and social policies in Vietnam and to assist in evaluating the impact of the policies. It should enable decision makers to: - indentify target groups for government assistance - Construct models of socio-economic development policies, both overall and on individuals groups - Analyze the impact of decisions available and of the current economic situation on living condition of household

Geographic coverage

National

Analysis unit

• Households
• Individuals
• Community

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design The sample covers 4800 households from all areas of Viet Nam. The sample design was self-weighted, which means that each household in Viet Nam had the same probability of being selected. The overall sampling frame was stratified into two groups urban and rural, with sampling was carried out separately in each group (strata). About 20% of Vietnamese households live in urban areas, so the sample stratification ensures that 20% of selected households also come from urban areas. Within urban and rural areas, two lists of all communes was drawn up (one of urban communes and another of rural ones), province by province, in "serpentine" order. 2 The selection of communes within each list was done to ensure that they were spread out evenly among all provinces in Viet Nam.

The VNLSS sample design is the following. Within each province in Viet Nam, rural areas can be broken down into districts, and districts in turn are divided into communes (Xa). Urban areas in all provinces consist of centers/towns, which are divided into quarters (Quai), and then divided further into communes (Phuong). The number of communes in all of Viet Nam, both urban and rural, is about 10,000, and the average population in each is about 6,500. As explained in Section 4, each survey team covers 32 households in 4 weeks, 16 households in one area, and 16 in another area. For convenience all 32 households (i.e. both sets of 16 household) were selected from the same commune. This implied that 150 communes needed to be randomly selected (32x150=4800), 30 in urban areas and 120 in urban areas. Within urban areas communes can be further divided into clusters (Cum), two of which were selected from which to draw two "workloads" of 16 households (16 from each of the two clusters). The same was done in rural areas, where each commune is divided into several villages (Thon). The average size of urban clusters and rural villages is somewhat less than 1000 households.

The VNLSS sample was drawn in three stages. Because the General Statistical Office in Hanoi knows the current population of each commune in Viet Nam (but not of each cluster or village within each commune), 150 communes were selected out of the 10,000 in all of Viet Nam with the probability of selection proportional to their population size. At the second stage, information was gathered from the 150 selected communes on the population of each cluster (in urban areas) or villages (in rural areas), and two clusters or villages were randomly drawn with probability proportional to their population size. Finally, the third stage involved random selection of 20 households (16 for the sample plus four "extras" to serve as replacements if some of the 16 "originals" could not be interviewed) within each cluster or village from a list of all households within each cluster or village. Note that the first stage of the sample is based on information from the 1989 Census, but the second and third stages use updated information available from the communes. The first and second stage samples were drawn in Hanoi, while the third stage was drawn in the field (see Section 4.3 below for more details).

Implementation

The attached map shows the commune number and approximate location of the 150 communes selected in Viet Nam. Of the 150 communes chosen, one was in a very remote and inaccessible area near the Chinese border and was replaced by another not quite as inaccessible. The actual interview schedule went smoothly. In one instance (commune 68) one of the selected villages was replaced because when the survey team arrived in the village it discovered that most of the adults were away from the village and thus could not be interviewed. In each cluster or village interviews were completed for 16 households, thus the 4800 household target sample was fully achieved. About 3% of the households (155) were replaced; the main reason for replacement was that their occupants were not at home. Only four households refused to participate. Community questionnaires were completed for all 120 rural communes. Price questionnaires were completed for 118 of 120 communes (the exceptions were communes 62 and 63), and comparable price data were collected from existing sources for all 30 urban areas.

Mode of data collection

Face-to-face [f2f]

Research instrument

HOUSEHOLD QUESTIONNAIRE

The household questionnaire contains modules (sections) to collect data on household demographic structure, education, health, employment, migration, housing conditions, fertility, agricultural activities, household non-agricultural businesses, food expenditures, non-food expenditures, remittances and other income sources, savings and loans, and anthropometric (height and weight) measures.

For some sections (survey information, housing, and respondents for second round) the individual designated by the household members as the household head provided responses. For some others (agro-pastoral activities, non-farm self employment, food expenditures, non-food expenditures) a member identified as most knowledgeable provided responses. Identification codes for respondents of different sections indicate who provided the information. In sections where the information collected pertains to individuals (education, health, employment, migration, and fertility) each member of the household was asked to respond for himself or herself, except that parents were allowed to respond for younger children. In the case of the employment and fertility sections it is possible that the information was not provided by the relevant person; variables in these sections indicate when this is the case. The household questionnaire was completed in two interviews two weeks apart: Sections 0-8, were conducted in the first interview, sections 9-14 were conducted in the second interview, and section 15 was administered in both interviews. The survey was designed so that more sensitive issues such as credit and savings were discussed near the end. The content of each module is briefly described below.

I. FIRST INTERVIEW

Section 0 SURVEY INFORMATION 0A HOUSEHOLD HEAD AND RESPONDENT INFORMATION 0B SUMMARY OF SURVEY RESULTS 0C OBSERVATIONS AND COMMENTS

The date of the interview, the religion, ethnic group of the household head, the language used by the respondent and other technical information related to the interview are noted. Section 0B summarizes the results of the survey visits, i.e. whether a section was completed on the first visit or the second visit. Section 0C, not entered into the computer, contains remarks of the interviewer and the supervisor. Since the data in Section 0C are retained only on the questionnaires, researchers cannot gain access to them without checking the original questionnaires at the General Statistical Office in Hanoi.

Section 1 HOUSEHOLD MEMBERSHIP 1A HOUSEHOLD ROSTER 1B INFORMATION ON PARENTS OF HOUSEHOLD MEMBERS 1C CHILDREN RESIDING ELSEWHERE

The roster in Section 1A lists the age, sex, marital status and relation to household head of all people who spent the previous night in that household and for household members who are temporarily away from home. The household head is listed first and receives the personal id code 1. Household members were defined to include "all the people who normally live and eat their meals together in this dwelling. Those who were absent more than nine of the last twelve months were excluded, except for the head of the household and infants less than three months old. A lunar calendar is provided in the

Vietnam Consumer Price Index (CPI): Weights: 2019=100: Housing and Construction Materials data was reported at 18.820 % in Aug 2020. Vietnam Consumer Price Index (CPI): Weights: 2019=100: Housing and Construction Materials data is updated monthly, averaging 18.820 % from Aug 2020 (Median) to Aug 2020, with 1 observations. Vietnam Consumer Price Index (CPI): Weights: 2019=100: Housing and Construction Materials data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I007: Consumer Price Index: 2019=100: Weights.

Vietnam Consumer Price Index (CPI): MoM: HCMC: Housing and Construction Materials data was reported at 0.290 % in Oct 2018. This records a decrease from the previous number of 0.330 % for Sep 2018. Vietnam Consumer Price Index (CPI): MoM: HCMC: Housing and Construction Materials data is updated monthly, averaging 0.295 % from Jan 2016 (Median) to Oct 2018, with 34 observations. The data reached an all-time high of 1.860 % in May 2016 and a record low of -0.530 % in Mar 2018. Vietnam Consumer Price Index (CPI): MoM: HCMC: Housing and Construction Materials 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.T025:Table VN.I025: Consumer Price Index: Ho Chi Minh City: 2014=100.

Vietnam Consumer Price Index (CPI): YoY: YTD: Housing and Construction Materials data was reported at 3.520 % in Nov 2018. This records a decrease from the previous number of 3.640 % for Oct 2018. Vietnam Consumer Price Index (CPI): YoY: YTD: Housing and Construction Materials data is updated monthly, averaging 3.730 % from Jan 2016 (Median) to Nov 2018, with 35 observations. The data reached an all-time high of 4.640 % in Jan 2018 and a record low of 2.057 % in Jul 2016. Vietnam Consumer Price Index (CPI): YoY: YTD: Housing and Construction Materials data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I005: Consumer Price Index: 2014=100: MoM & YoY Growth.

Vietnam Consumer Price Index (CPI): YoY: Hanoi: Housing and Construction Materials data was reported at 6.810 % in Jun 2018. This records an increase from the previous number of 5.970 % for May 2018. Vietnam Consumer Price Index (CPI): YoY: Hanoi: Housing and Construction Materials data is updated monthly, averaging 4.980 % from Aug 2008 (Median) to Jun 2018, with 118 observations. The data reached an all-time high of 23.560 % in Aug 2011 and a record low of -5.300 % in Feb 2015. Vietnam Consumer Price Index (CPI): YoY: Hanoi: Housing and Construction Materials data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.I020: Consumer Price Index: Hanoi: MoM & YoY Growth.