The total population of Thailand was estimated at 70.27 million people in 2024. Following a continuous upward trend, the total population has risen by 22.9 million people from 1980 to 2024. Looking forward, the total population will rise by 130,000 people until 2030, showing an overall upward trend with periodic ups and downs.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

The total population in Thailand was estimated at 66.1 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Thailand Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Thailand data available from WorldPop here.

In 1800, the population of the territory that makes up present-day Thailand was approximately 4.7 million people. As part of the kingdom of Siam, the population of Thailand would grow gradually through the 19 th century, with much of the population growth being driven by Chinese emigration from southern Qing China into Siam, in search of work and refuge from instability in their home country. This migrant influx would continue throughout the century, with estimates suggesting that the Chinese population in Siam grew from 230,000 in 1825, to over 792,000 in 1910; by 1932, over 12 percent of the population in modern-day Thailand was ethnically Chinese. Migration from China would see another surge under the reign of Vajiravudh, as the "Warlord era" in China, after the fall of the Qing dynasty, would see entire families of Chinese immigrants arriving in Thailand. While immigration would slow in later years, Chinese-Thai would remain a significant demographic in Thailand’s population, both as one of the largest overseas Chinese populations, and accounting for an estimated 11-14 percent of the total Thailand population in 2012.

Population growth would slow somewhat in the 1930s, as several rebellions and coups, paired with a rise in anti-Chinese sentiment in the country, would result in a sharp decline in immigration to the country. In the years following the Second World War, the population of Thailand would begin to grow rapidly, following a wave of urbanization and a significant increase in standard of living throughout the country. As a result, the population of Thailand would rise from approximately 20 million in 1950, to just under 63 million by the turn of the century just 50 years later. This population growth would slow somewhat as the country would continue to modernize in the 2000s, and in 2020, it is estimated that just under 70 million people live in Thailand.

Complete population data for Thailand showing how many people live in Thailand from 1960 to 2024

Thailand TH: Population Density: People per Square Km data was reported at 135.132 Person/sq km in 2017. This records an increase from the previous number of 134.791 Person/sq km for 2016. Thailand TH: Population Density: People per Square Km data is updated yearly, averaging 109.212 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 135.132 Person/sq km in 2017 and a record low of 55.245 Person/sq km in 1961. Thailand TH: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

As of March 2024, the population of those who were no older than 15 years old in Thailand amounted to approximately ***** million, which was the highest compared to other age groups. The next largest age group was between the ages of 46 and 55, with a total of around ***** million people.  Population development in Thailand Thailand is the fourth most populated country among all ASEAN (Association of South-East Asian Nations) member countries. The recent total population in the country stood at around ** million. While the total population number is expected to increase, the number of children in Thailand has decreased over the years. Thailand’s aging society   Thailand is one of the fastest-aging countries in the world. As of January 2023, the proportion of senior citizens in Thailand stood at ** percent. The elderly population in the country is predicted to continue growing steadily in the future. Therefore, ASEAN established the ASEAN Centre for Active Aging and Innovation (ACAI) in 2018 under the leadership of Thailand. ACAI aims to promote healthy aging and enhance the lifelong quality of aging in Thailand and other ASEAN countries.

About this dataset

Context

This list ranks the 50 states in the United States by Thai population, as estimated by the United States Census Bureau. It also highlights population changes in each state over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Thai Population: This column displays the rank of state in the United States by their Thai population, using the most recent ACS data available.
• State: The State for which the rank is shown in the previous column.
• Thai Population: The Thai population of the state is shown in this column.
• % of Total State Population: This shows what percentage of the total state population identifies as Thai. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total United States Thai Population: This tells us how much of the entire United States Thai population lives in that state. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Thailand TH: Population: as % of Total: Aged 15-64 data was reported at 71.308 % in 2017. This records a decrease from the previous number of 71.395 % for 2016. Thailand TH: Population: as % of Total: Aged 15-64 data is updated yearly, averaging 64.179 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 71.898 % in 2010 and a record low of 52.432 % in 1969. Thailand TH: Population: as % of Total: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Population and Urbanization Statistics. Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

Comprehensive socio-economic dataset for Thailand including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

This datasets includes the demographic information of Thailand in 2019. The information is in provincial level and it includes total population, population by gender and number of household.

Thailand administrative level 0-2 2020 projected sex and age disaggregated population statistics

REFERENCE YEAR: 2020

These tables are suitable for database or GIS linkage to the administrative level 0 and 1 Thailand - Subnational Administrative Boundaries shapefiles and geodatabase features.

In 2024, the number of inhabitants in the Bangkok Metropolitan Area, Thailand, was estimated to amount to around **** million people. The figures show a gradual increase in Bangkok's population in the last 10 years. Bangkok’s most populated and most popular areas Bangkok experienced rapid growth between the 1960s and 1980s and has developed into one of Southeast Asia's leading commercial markets, a hub for real estate, retail, manufacturing, commerce, transportation, and financial services, despite challenges and political instability over the last decades. Khlong Sam Wa, Sai Mai, and Bang Khae, located on the outskirts, are the most populated districts in Bangkok, with comparatively low rental prices. In contrast, rather expensive areas around Wireless Road, upper and lower Sukhumvit, Sathorn, and Silom are particularly sought after by high-income residents and working expatriates. Bangkok’s housing prices Local buyers are facing difficulties as a result of Bangkok's increasing interest rates, which have reduced house affordability, as well as a lack of confidence in the economy. The price index of townhouses in Bangkok has shown increases since 2013. The same goes for single-detached houses and condominiums. Long-term demand will be limited by Thailand's aging population, and many prospective new purchasers, particularly Millennials and Gen Y, often choose to rent instead of buying.

In 2023, the annual population growth in Thailand amounted to -0.05 percent. Between 1961 and 2023, the figure dropped by 2.98 percentage points, though the decline followed an uneven course rather than a steady trajectory.

TH: Population: Male: Aged 0-14 data was reported at 6,144,671.000 Person in 2017. This records a decrease from the previous number of 6,246,677.000 Person for 2016. TH: Population: Male: Aged 0-14 data is updated yearly, averaging 7,959,803.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9,501,422.000 Person in 1980 and a record low of 5,913,974.000 Person in 1960. TH: Population: Male: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Population and Urbanization Statistics. Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

Thailand TH: Population: Male: Aged 15-64 data was reported at 24,084,798.000 Person in 2017. This records an increase from the previous number of 24,053,844.000 Person for 2016. Thailand TH: Population: Male: Aged 15-64 data is updated yearly, averaging 17,514,710.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 24,084,798.000 Person in 2017 and a record low of 7,411,947.000 Person in 1960. Thailand TH: Population: Male: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Population and Urbanization Statistics. Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

Actual value and historical data chart for Thailand Population Total

Abstract

The Thai Demographic and Health Survey (TDHS) was a nationally representative sample survey conducted from March through June 1988 to collect data on fertility, family planning, and child and maternal health. A total of 9,045 households and 6,775 ever-married women aged 15 to 49 were interviewed. Thai Demographic and Health Survey (TDHS) is carried out by the Institute of Population Studies (IPS) of Chulalongkorn University with the financial support from USAID through the Institute for Resource Development (IRD) at Westinghouse. The Institute of Population Studies was responsible for the overall implementation of the survey including sample design, preparation of field work, data collection and processing, and analysis of data. IPS has made available its personnel and office facilities to the project throughout the project duration. It serves as the headquarters for the survey.

The Thai Demographic and Health Survey (TDHS) was undertaken for the main purpose of providing data concerning fertility, family planning and maternal and child health to program managers and policy makers to facilitate their evaluation and planning of programs, and to population and health researchers to assist in their efforts to document and analyze the demographic and health situation. It is intended to provide information both on topics for which comparable data is not available from previous nationally representative surveys as well as to update trends with respect to a number of indicators available from previous surveys, in particular the Longitudinal Study of Social Economic and Demographic Change in 1969-73, the Survey of Fertility in Thailand in 1975, the National Survey of Family Planning Practices, Fertility and Mortality in 1979, and the three Contraceptive Prevalence Surveys in 1978/79, 1981 and 1984.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49

Universe

The population covered by the 1987 THADHS is defined as the universe of all women Ever-married women in the reproductive ages (i.e., women 15-49). This covered women in private households on the basis of a de facto coverage definition. Visitors and usual residents who were in the household the night before the first visit or before any subsequent visit during the few days the interviewing team was in the area were eligible. Excluded were the small number of married women aged under 15 and women not present in private households.

Kind of data

Sample survey data

Sampling procedure

SAMPLE SIZE AND ALLOCATION

The objective of the survey was to provide reliable estimates for major domains of the country. This consisted of two overlapping sets of reporting domains: (a) Five regions of the country namely Bangkok, north, northeast, central region (excluding Bangkok), and south; (b) Bangkok versus all provincial urban and all rural areas of the country. These requirements could be met by defining six non-overlapping sampling domains (Bangkok, provincial urban, and rural areas of each of the remaining 4 regions), and allocating approximately equal sample sizes to them. On the basis of past experience, available budget and overall reporting requirement, the target sample size was fixed at 7,000 interviews of ever-married women aged 15-49, expected to be found in around 9,000 households. Table A.I shows the actual number of households as well as eligible women selected and interviewed, by sampling domain (see Table i.I for reporting domains).

THE FRAME AND SAMPLE SELECTION

The frame for selecting the sample for urban areas, was provided by the National Statistical Office of Thailand and by the Ministry of the Interior for rural areas. It consisted of information on population size of various levels of administrative and census units, down to blocks in urban areas and villages in rural areas. The frame also included adequate maps and descriptions to identify these units. The extent to which the data were up-to-date as well as the quality of the data varied somewhat in different parts of the frame. Basically, the multi-stage stratified sampling design involved the following procedure. A specified number of sample areas were selected systematically from geographically/administratively ordered lists with probabilities proportional to the best available measure of size (PPS). Within selected areas (blocks or villages) new lists of households were prepared and systematic samples of households were selected. In principle, the sampling interval for the selection of households from lists was determined so as to yield a self weighting sample of households within each domain. However, in the absence of good measures of population size for all areas, these sampling intervals often required adjustments in the interest of controlling the size of the resulting sample. Variations in selection probabilities introduced due to such adjustment, where required, were compensated for by appropriate weighting of sample cases at the tabulation stage.

SAMPLE OUTCOME

The final sample of households was selected from lists prepared in the sample areas. The time interval between household listing and enumeration was generally very short, except to some extent in Bangkok where the listing itself took more time. In principle, the units of listing were the same as the ultimate units of sampling, namely households. However in a small proportion of cases, the former differed from the latter in several respects, identified at the stage of final enumeration: a) Some units listed actually contained more than one household each b) Some units were "blanks", that is, were demolished or not found to contain any eligible households at the time of enumeration. c) Some units were doubtful cases in as much as the household was reported as "not found" by the interviewer, but may in fact have existed.

Mode of data collection

Face-to-face

Research instrument

The DHS core questionnaires (Household, Eligible Women Respondent, and Community) were translated into Thai. A number of modifications were made largely to adapt them for use with an ever- married woman sample and to add a number of questions in areas that are of special interest to the Thai investigators but which were not covered in the standard core. Examples of such modifications included adding marital status and educational attainment to the household schedule, elaboration on questions in the individual questionnaire on educational attainment to take account of changes in the educational system during recent years, elaboration on questions on postnuptial residence, and adaptation of the questionnaire to take into account that only ever-married women are being interviewed rather than all women. More generally, attention was given to the wording of questions in Thai to ensure that the intent of the original English-language version was preserved.

a) Household questionnaire

The household questionnaire was used to list every member of the household who usually lives in the household and as well as visitors who slept in the household the night before the interviewer's visit. Information contained in the household questionnaire are age, sex, marital status, and education for each member (the last two items were asked only to members aged 13 and over). The head of the household or the spouse of the head of the household was the preferred respondent for the household questionnaire. However, if neither was available for interview, any adult member of the household was accepted as the respondent. Information from the household questionnaire was used to identify eligible women for the individual interview. To be eligible, a respondent had to be an ever-married woman aged 15-49 years old who had slept in the household 'the previous night'.

Prior evidence has indicated that when asked about current age, Thais are as likely to report age at next birthday as age at last birthday (the usual demographic definition of age). Since the birth date of each household number was not asked in the household questionnaire, it was not possible to calculate age at last birthday from the birthdate. Therefore a special procedure was followed to ensure that eligible women just under the higher boundary for eligible ages (i.e. 49 years old) were not mistakenly excluded from the eligible woman sample because of an overstated age. Ever-married women whose reported age was between 50-52 years old and who slept in the household the night before birthdate of the woman, it was discovered that these women (or any others being interviewed) were not actually within the eligible age range of 15-49, the interview was terminated and the case disqualified. This attempt recovered 69 eligible women who otherwise would have been missed because their reported age was over 50 years old or over.

b) Individual questionnaire

The questionnaire administered to eligible women was based on the DHS Model A Questionnaire for high contraceptive prevalence countries. The individual questionnaire has 8 sections: - Respondent's background - Reproduction - Contraception - Health and breastfeeding - Marriage - Fertility preference - Husband's background and woman's work - Heights and weights of children and mothers

The questionnaire was modified to suit the Thai context. As noted above, several questions were added to the standard DHS core questionnaire not only to meet the interest of IPS researchers hut also because of their relevance to the current demographic situation in Thailand. The supplemental questions are marked with an asterisk in the individual questionnaire. Questions concerning the following items were added in the individual questionnaire: - Did the respondent ever

In 2021, more than ** percent of the Thai population were Buddhists. This was followed by *** percent of Thais who were Muslim, and *** percent declared to be Christians. While Buddhism is prevalent all over the country, the Muslim community is primarily found in the southern provinces.

Abstract

The Population and Housing Census 2000 in Thailand was the tenth Population Census and the fourth Housing Census of Thailand. The objective of the census was to collect basic information on demographic, social, and economic characteristics of population as well as housing characteristics of everyone residing in the country. The census date is April 1, 2000.

It contains data on: - characteristics of the household - personal characteristics - literacy and education - fertility - employment - migration - housing characteristics

Geographic coverage

National

Analysis unit

Households and individuals

Universe

Population Coverage 1) Population covered: - All Thai citizens residing in Thailand on the Census day (April 1, 2000); - Thai residents who usually live in Thailand but temporarily outside the country on the Census Day; - Thai civil/military diplomatic officers and their families in foreign countries; - Foreign citizens having usual place of abode in Thailand or entering the country on temporary basis at least three months prior to the Census Day.

2) Population not covered: - Hilltribes with no fixed address (except those in well established villages); - Foreign military and diplomatic officers and their families stationed in Thailand; - Foreigners staying in the country for less than three months prior to the Census Day. - Refugees or illegal migrants staying in the centres designated by the authorities.

Housing Coverage All private households in the areas of population enumeration.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Microdata encompasses 1% of the Census 2000.

The data of the entire Census (of which the attached datafiles comprise 1%) was sampled as follows All persons and households were listed and simultaneously enumerated with the basic information (age, sex, relationship to household head, marital status, religion, nationality, education, occupation, industry and work status) except for sample households. The sample households, which were 20 per cent of households in every area, were also asked for more detailed information and housing information. The self-enumeration questionnaires were based on the basic information.

A post enumeration survey (PES) was carried out by staff members of the NSO. A stratified one-stage sample of 1,520 urban blocks and rural villages was selected. The purpose of the PES was to determine the completeness of an accuracy of the census (coverage error and content error). The content error includes relationship to head of household, age, sex, and marital status.

Mode of data collection

Face-to-face [f2f]