In 2024, the total population of all ASEAN states amounted to an estimated 686.1 million inhabitants. The ASEAN (Association of Southeast Asian Nations) member countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. ASEAN opportunity The Association of Southeast Asian Nations was founded by five states (Thailand, Indonesia, the Philippines, Malaysia, and Singapore) in 1967 to improve economic and political stability and social progress among the member states. It was originally modelled after the European Union. Nowadays, after accepting more members, their agenda also includes an improvement of cultural and environmental conditions. ASEAN is now an important player on the global stage with numerous alliances and business partners, as well as more contenders wanting to join. The major player in the SouthIndonesia is not only a founding member of ASEAN, it is also its biggest contributor in terms of gross domestic product and is also one of the member states with a positive trade balance. In addition, it has the highest number of inhabitants by far. About a third of all people in the ASEAN live in Indonesia – and it is also one of the most populous countries worldwide. Among the ASEAN members, it is certainly the most powerful one, not just in numbers, but mostly due to its stable and thriving economy.

In 2023, the median age of the population in Thailand was **** years, which was the oldest median age across Southeast Asia. Comparatively, the median age of Timor-Leste's population was ** years in 2023.

The average for 2023 based on 11 countries was 2.41 percent. The highest value was in India: 17.94 percent and the lowest value was in Brunei: 0.01 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

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

The average for 2024 based on 11 countries was 49.5 percent. The highest value was in Thailand: 51.31 percent and the lowest value was in Brunei: 46.9 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

The average for 2024 based on 11 countries was 8.25 percent. The highest value was in Thailand: 15.36 percent and the lowest value was in Laos: 4.67 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Pew Research Center conducted random, probability-based surveys among 13,122 adults (ages 18 and older) across six South and Southeast Asian countries: Cambodia, Indonesia, Malaysia, Singapore, Sri Lanka and Thailand. Interviewing was carried out under the direction of Langer Research Associates. In Malaysia and Singapore, interviews were conducted via computer-assisted telephone interviewing (CATI) using mobile phones. In Cambodia, Indonesia, Sri Lanka and Thailand, interviews were administered face-to-face using tablet devices, also known as computer-assisted personal interviewing (CAPI). All surveys were conducted between June 1 and Sept. 4, 2022.

This project was produced by Pew Research Center as part of the Pew-Templeton Global Religious Futures project, which analyzes religious change and its impact on societies around the world. Funding for the Global Religious Futures project comes from The Pew Charitable Trusts and the John Templeton Foundation (grant 61640). This publication does not necessarily reflect the views of the John Templeton Foundation.

As of July 2024, one report has been published that focuses on the findings from this data: Buddhism, Islam and Religious Pluralism in South and Southeast Asia: https://www.pewresearch.org/religion/2023/09/12/buddhism-islam-and-religious-pluralism-in-south-and-southeast-asia/

Spatially accurate, contemporary data on human population distributions are vitally important to many applied and theoretical researchers. The Southeast Asia region has undergone rapid urbanization and population growth over the past decade, yet existing spatial population distribution datasets covering the region are based principally on population count data from censuses circa 2000, with often insufficient spatial resolution or input data to map settlements precisely. Here we outline approaches to construct a database of GIS-linked circa 2010 census data and methods used to construct fine-scale (∼100 meters spatial resolution) population distribution datasets for each country in the Southeast Asia region. Landsat-derived settlement maps and land cover information were combined with ancillary datasets on infrastructure to model population distributions for 2010 and 2015. These products were compared with those from two other methods used to construct commonly used global population datasets. Results indicate mapping accuracies are consistently higher when incorporating land cover and settlement information into the AsiaPop modelling process. Using existing data, it is possible to produce detailed, contemporary and easily updatable population distribution datasets for Southeast Asia. The 2010 and 2015 datasets produced are freely available as a product of the AsiaPop Project and can be downloaded from: www.asiapop.org.

In 2020, the estimated size of the middle class population in the six selected Southeast Asian countries Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam amounted to around *** million. That year, approximately ** million people of Indonesia's total population were part of the middle class.

The average for 2024 based on 11 countries was 54.11 percent. The highest value was in Singapore: 100 percent and the lowest value was in Cambodia: 26.03 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

In 2023, the mid-year population of Indonesia stood at more than *** million people. Comparatively, the population of Timor-Leste stood at approximately *** million people, while that of Brunei was at about half a million as of mid-2023.

There is considerable ethno-linguistic and genetic variation among human populations in Asia, although tracing the origins of this diversity is complicated by migration events. Thailand is at the center of Mainland Southeast Asia (MSEA), a region within Asia that has not been extensively studied. Genetic substructure may exist in the Thai population, since waves of migration from southern China throughout its recent history may have contributed to substantial gene flow. Autosomal SNP data were collated for 438,503 markers from 992 Thai individuals. Using the available self-reported regional origin, four Thai subpopulations genetically distinct from each other and from other Asian populations were resolved by Neighbor-Joining analysis using a 41,569 marker subset. Using an independent Principal Components-based unsupervised clustering approach, four major MSEA subpopulations were resolved in which regional bias was apparent. A major ancestry component was common to these MSEA subpopulations and distinguishes them from other Asian subpopulations. On the other hand, these MSEA subpopulations were admixed with other ancestries, in particular one shared with Chinese. Subpopulation clustering using only Thai individuals and the complete marker set resolved four subpopulations, which are distributed differently across Thailand. A Sino-Thai subpopulation was concentrated in the Central region of Thailand, although this constituted a minority in an otherwise diverse region. Among the most highly differentiated markers which distinguish the Thai subpopulations, several map to regions known to affect phenotypic traits such as skin pigmentation and susceptibility to common diseases. The subpopulation patterns elucidated have important implications for evolutionary and medical genetics. The subpopulation structure within Thailand may reflect the contributions of different migrants throughout the history of MSEA. The information will also be important for genetic association studies to account for population-structure confounding effects.

About this dataset

Context

This list ranks the 2 cities in the Southeast Fairbanks Census Area, AK by Non-Hispanic Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities 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
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Non-Hispanic Asian Population: This column displays the rank of cities in the Southeast Fairbanks Census Area, AK by their Non-Hispanic Asian population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Asian Population: The Non-Hispanic Asian population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Southeast Fairbanks Census Area Non-Hispanic Asian Population: This tells us how much of the entire Southeast Fairbanks Census Area, AK Non-Hispanic Asian population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis 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/.

In 2022, about **** percent of Singapore's population was aged 65 years and over. In comparison, only about *** percent of the population in the Laos was aged 65 years and over, while the country's five to 19 age group accounted for approximately **** percent of the total population in the same year.

The Cham people are the major Austronesian speakers of Mainland Southeast Asia (MSEA) and the reconstruction of the Cham population history can provide insights into their diffusion. In this study, we analyzed non-recombining region of the Y chromosome markers of 177 unrelated males from four populations in MSEA, including 59 Cham, 76 Kinh, 25 Lao, and 17 Thai individuals. Incorporating published data from mitochondrial DNA (mtDNA), our results indicated that, in general, the Chams are an indigenous Southeast Asian population. The origin of the Cham people involves the genetic admixture of the Austronesian immigrants from Island Southeast Asia (ISEA) with the local populations in MSEA. Discordance between the overall patterns of Y chromosome and mtDNA in the Chams is evidenced by the presence of some Y chromosome lineages that prevail in South Asians. Our results suggest that male-mediated dispersals via the spread of religions and business trade might play an important role in shaping the patrilineal gene pool of the Cham people.

The U.S. Census defines Asian Americans as individuals having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent (U.S. Office of Management and Budget, 1997). As a broad racial category, Asian Americans are the fastest-growing minority group in the United States (U.S. Census Bureau, 2012). The growth rate of 42.9% in Asian Americans between 2000 and 2010 is phenomenal given that the corresponding figure for the U.S. total population is only 9.3% (see Figure 1). Currently, Asian Americans make up 5.6% of the total U.S. population and are projected to reach 10% by 2050. It is particularly notable that Asians have recently overtaken Hispanics as the largest group of new immigrants to the U.S. (Pew Research Center, 2015). The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the Asian American population.

Canada was home to almost 4 million individuals who identified themselves as visible minorities in 2001, accounting for 13.4% of the total population. The proportion of the visible minority population has increased steadily over the past 20 years. In 1981, 1.1 million visible minorities accounted for 4.7% of the total population; by 1996, 3.2 million accounted for 11.2%.

The range of collection years is shown. Number of individuals sequenced (n), number of haplotypes (nH), haplotype diversity (Hd) and nucleotide diversity (π) are displayed along with the total summary for all populations.

See S6 Table for a more specific summary of COI haplotypes by population.

BackgroundAbout 600 million people are estimated to be infected with Strongyloides stercoralis, the species that causes most of the human strongyloidiasis cases. S. stercoralis can also infect non-human primates (NHPs), dogs and cats, rendering these animals putative sources for zoonotic human S. stercoralis infection. S. fuelleborni is normally found in old world NHPs but occasionally also infects humans, mainly in Africa. Dogs in southeast Asia carry at least two types of Strongyloides, only one of which appears to be shared with humans ("dog only" and "human and dog" types). For S. stercoralis with molecular taxonomic information, there is a strong sampling bias towards southeast and east Asia and Australia.Methodology/Principle findingsIn order to extend the geographic range of sampling, we collected human and dog derived Strongyloides spp. and hookworms from two locations in Bangladesh and subjected them to molecular taxonomic and genomic analysis based on nuclear and mitochondrial sequences. All hookworms found were Necator americanus. Contrary to earlier studies in Asia, we noticed a rather high incidence of S. fuelleborni in humans. Also in this study, we found the two types of S. stercoralis and no indication for genetic isolation from the southeast Asian populations. However, we found one genomically "dog only" type S. stercoralis in a human sample and we found two worms in a dog sample that had a nuclear genome of the "dog only" but a mitochondrial genome of the "human and dog" type.Conclusions/SignificanceS. fuelleborni may play a more prominent role as a human parasite in certain places in Asia than previously thought. The introgression of a mitochondria haplotype into the "dog only" population suggests that rare interbreeding between the two S. stercoralis types does occur and that exchange of genetic properties, for example a drug resistance, between the two types is conceivable.