In 2023, the share of the population older than 60 years old in Thailand accounted for 20.17 percent. In 2040, the percentage of the population above the age of 60 years old is forecast to reach 31.37 percent.

Population ages 65 and above (% of total population) in Thailand was reported at 14.72 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Population ages 65 and above (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

As of September 2024, the northern region of Thailand had an elderly population of around 24 percent. This figure exceeded the national average.

Objective: This study investigated the prevalence of food security, and the association of food security with financial hardship and socio-demographic characteristics among the ageing population in Thailand.Methods: The study extracted data on 1,197 persons age 60 years or older from a nationally-representative sample survey of Thai households. The food security data were collected using the Food Insecurity Experience Scale (FIES), developed by the Food and Agriculture Organization. Multiple regression analysis was used to investigate the association between financial hardship, socio-demographic characteristics, and food security.Results: Of the total sample, 71% had food security. The least probability of having food security was observed in the respondents who sometimes and often had income problems (p < 0.001), and felt dissatisfied with their financial situation (p < 0.001). The respondents who were female, at oldest-old age, with lower than primary school education and in the Northeast were less likely to have food security.Conclusion: These findings suggest the need for government assistance for those who are experiencing financial hardship to help them manage their finances and food security more effectively, taking into account different socio-demographic characteristics.

As of June 2024, there were around 7.45 million female senior citizens and 5.87 male senior citizens in Thailand. In that year, the population of Thailand was estimated to be approximately 70 million people.

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.

Thailand TH: Population: as % of Total: Male: Aged 15-64 data was reported at 71.543 % in 2017. This records a decrease from the previous number of 71.583 % for 2016. Thailand TH: Population: as % of Total: Male: Aged 15-64 data is updated yearly, averaging 63.804 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 71.827 % in 2010 and a record low of 52.368 % in 1969. Thailand TH: Population: as % of Total: 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.WDI: Population and Urbanization Statistics. Male population between the ages 15 to 64 as a percentage of the total male 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;

In 2023, the share of the population of Japan above the age of 65 was projected to amount to around ** percent. In contrast, the share of the population older than 65 in Thailand was projected to be about *** percent that year.

Thailand TH: Population: as % of Total: Female: Aged 65 and Above data was reported at 12.485 % in 2017. This records an increase from the previous number of 12.027 % for 2016. Thailand TH: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 4.723 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 12.485 % in 2017 and a record low of 3.766 % in 1960. Thailand TH: Population: as % of Total: Female: Aged 65 and Above 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. Female population 65 years of age or older as a percentage of the total female 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; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

In 2022, around 22.04 percent of the population in Bangkok in Thailand was adults aged 60 years and older, higher than the previous year, which was about 20.64 percent. The share of older people in Bangkok has been growing constantly.

In Thailand Elderly Care Market, It is expanding rapidly due to the rising aging population, increasing prevalence of chronic diseases, and growing demand for long-term care solutions.

TH: Population: Total: Aged 65 and Above data was reported at 7,851,584.000 Person in 2017. This records an increase from the previous number of 7,543,105.000 Person for 2016. TH: Population: Total: Aged 65 and Above data is updated yearly, averaging 2,385,059.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7,851,584.000 Person in 2017 and a record low of 908,171.000 Person in 1960. TH: Population: Total: Aged 65 and Above 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 65 years of age or older. 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: Age Dependency Ratio: % of Working-Age Population data was reported at 40.237 % in 2017. This records an increase from the previous number of 40.067 % for 2016. Thailand TH: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 55.820 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 90.722 % in 1969 and a record low of 39.085 % in 2010. Thailand TH: Age Dependency Ratio: % of Working-Age Population 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. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

In 2040, the percentage of the population of Singapore above the age of 65 was forecasted to reach more than ** percent. Comparatively, the share of the population older than 65 in Laos was forecasted to reach about *** percent.

In Thailand Long Term Care Market, It is witnessing substantial growth due to demographic shifts, primarily the aging population, and the rising incidence of chronic diseases.

In 2022, there were approximately 1.2 million adults aged 60 years and older in Bangkok in Thailand, higher than the previous year which was around 1.1 million. The number of elderly living Bangkok has been increasing over the years.

In 2020, the average age in Thailand is expected to reach 38.2 years, twenty years higher than in 1980, when it began to rise after a steady decrease in prior years. Previously, from 1950 to 1975, the average age hovered around 17 years. The increased average age corresponds with rising life expectancy globally, accelerating especially around the mid-twentieth century onward. In this century, the life expectancy in Thailand has increased by roughly 2.5 years since 2007, reaching 78.39 in 2017. The standard of living is increasing In Thailand, people ages 15 to 64 have consistently made up the majority of the population from 2007 to 2017. In this time, the older population grew increased by about three percent, while the younger population shrunk at roughly the same rate. This indicates that many people within the middle age category are reaching 65 or older, and that the birth rate is simultaneously declining. Birth rates are declining Every year, families are having fewer children in Thailand, with a fertility rate of less than 1.5 children per women of childbearing age in 2017. This is not necessarily a bad sign – it points towards increasing healthcare and living standards. Another indicator for this is the decreasing infant mortality in Thailand, meaning more of the children born each year survive. Lower infant mortality also contributes to the calculations of a higher life expectancy, and thus affects the country’s median age.

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

This statistic displays the population aged 15 years and above in Thailand from 2006 to 2017. In 2017, the working age population in Thailand amounted to approximately 55.96 million people.

In Thailand Assistive Technology Market, It has experienced significant growth in recent years, driven by the growing number of people with disabilities, the rising aging population, and increasing technological advancements.