In 2023, the total population of all ASEAN states amounted to an estimated 619.02 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 1.25 percent. The highest value was in Singapore: 4.86 percent and the lowest value was in Thailand: 0.15 percent. The indicator is available from 1961 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 2023 based on 7 countries was 69354 refugees. The highest value was in India: 252867 refugees and the lowest value was in Vietnam: 19 refugees. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

In 2023, it was estimated that approximately ** percent of the Indonesian population were Muslim, accounting for the highest share of Muslims in any Southeast Asian country. Indonesia also has the world's largest Muslim population, with an estimated *** million Muslims. Demographics of Indonesia The total population of Indonesia was estimated to reach around *** million in 2028. The median age of the population in the country was at an all-time high in 2020 and was projected to increase continuously until the end of the century. In 2020, the population density in Indonesia reached its highest value recorded at about ***** people per square kilometer. Shopping behavior during Ramadan in Indonesia Nearly all Muslims in Indonesia celebrated Ramadan in 2022. During the month of Ramadan, ** percent of Indonesian users utilized online applications to order food. Many Indonesians planned to shop online or offline during Ramadan, with around ** percent of online users planning to purchase fashion wear and accessories. Shopee was the most used app for shopping purposes during that period.

The average for 2023 based on 11 countries was 49.48 percent. The highest value was in Thailand: 51.26 percent and the lowest value was in Brunei: 46.86 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The number of internet users in Southeast Asia was forecast to continuously increase between 2024 and 2029 by 86.4 million users (+15.32 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach a new peak at 650.4 million in 2029. Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the data source clarifies, connection quality and usage frequency are distinct aspects, not taken into account here. The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic, and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press, and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like Central Asia and Eastern Asia.

The average for 2023 based on 11 countries was 2.41 percent. The highest value was in India: 17.91 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.

Rural population (% of total population) in South Asia was reported at 63.67 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Asia - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The number of smartphone users in Southeast Asia was forecast to continuously increase between 2024 and 2029 by in total 105.9 million users (+23.9 percent). After the nineteenth consecutive increasing year, the smartphone user base is estimated to reach 548.92 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Western Asia and Southern Asia.

About this dataset

Context

This list ranks the 2 cities in the Southeast Fairbanks Census Area, AK by 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 Hispanic Asian Population: This column displays the rank of cities in the Southeast Fairbanks Census Area, AK by their Hispanic Asian population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Hispanic Asian Population: The 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 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 Hispanic Asian Population: This tells us how much of the entire Southeast Fairbanks Census Area, AK 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/.

A database (NDP-068) was generated from estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam.

The data sets within this database are provided in three file formats: ARC/INFOTM exported integer grids; ASCII (American Standard Code for Information Interchange) files formatted for raster-based GIS software packages; and generic ASCII files with x, y coordinates for use with non-GIS software packages.

The database includes ten ARC/INFO exported integer grid files (five with the pixel size 3.75 km x 3.75 km and five with the pixel size 0.25 degree longitude x 0.25 degree latitude) and 27 ASCII files. The first ASCII file contains the documentation associated with this database. Twenty-four of the ASCII files were generated by means of the ARC/INFO GRIDASCII command and can be used by most raster-based GIS software packages. The 24 files can be subdivided into two groups of 12 files each.

The files contain real data values representing actual carbon and potential carbon density in Mg C/ha (1 megagram = 10^6 grams) and integer-coded values for country name, Weck's Climatic Index, ecofloristic zone, elevation, forest or non- forest designation, population density, mean annual precipitation, slope, soil texture, and vegetation classification. One set of 12 files contains these data at a spatial resolution of 3.75 km, whereas the other set of 12 files has a spatial resolution of 0.25 degree. The remaining two ASCII data files combine all of the data from the 24 ASCII data files into 2 single generic data files. The first file has a spatial resolution of 3.75 km, and the second has a resolution of 0.25 degree. Both files also provide a grid-cell identification number and the longitude and latitude of the centerpoint of each grid cell.

The 3.75-km data in this numeric data package yield an actual total carbon estimate of 42.1 Pg (1 petagram = 10^15 grams) and a potential carbon estimate of 73.6 Pg; whereas the 0.25-degree data produced an actual total carbon estimate of 41.8 Pg and a total potential carbon estimate of 73.9 Pg.

Fortran and SASTM access codes are provided to read the ASCII data files, and ARC/INFO and ARCVIEW command syntax are provided to import the ARC/INFO exported integer grid files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

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.

The statistic depicts the share of international immigrants among the total population of Southeast Asia in 2017, broken down by country. During the measured time period, around 46 percent of the population of Singapore were international immigrants.

Living Identity™ Southeast Asia (Demographic Data): Verified Identity and Lifestyle Intelligence Across 5 High-Growth Markets

Living Identity™ Southeast Asia provides access to 401 million verified consumer profiles across five of the fastest-growing Southeast Asian economies. Combining structured identity verification with rich lifestyle, location, and demographic data, this multi-country dataset is purpose-built for marketing strategy, audience analytics, KYC, and consumer intelligence applications.

Key Features:

• Volume: 401,000,000 verified records • Coverage: 5 strategic Southeast Asian countries • Historical Depth: 6 months of current, refreshed data • Attributes: Full name, address, phone, email, government ID (where available), geo-coded location, lifestyle behaviors, consumer interests • Location Precision: Geo-coded at high accuracy

Data Storage: Fully on-premise, with secure, compliant architecture What’s Inside: Profiles are structured around core identity data and enhanced with mobility, lifestyle segmentation, demographic classification, and public sector insights. This enables real-world, cross-channel consumer targeting, onboarding, and marketing optimization.

Primary Use Cases: • Marketing Strategy and Data-Driven Campaign Design • Location-Based Audience Analytics • Consumer Intelligence for Product and Market Expansion • Real-Time KYC and Identity Verification • Cross-Sell/Upsell Strategy Based on Lifestyle and Affluence Indicators

Ideal For: • Marketing and Media Agencies • Retailers, E-Commerce Platforms, and Payment Companies • Customer Intelligence and Analytics Teams • Audience Modeling and Predictive Analytics Specialists • Financial Services Firms Targeting Southeast Asia

Data Quality and Compliance: Living Identity™ Southeast Asia is built with regulatory alignment to GDPR, LGPD, PDPA, and relevant national frameworks, ensuring lawful data sourcing, privacy-first practices, and operational security.

Pricing and additional samples available upon request.

This data is from the Korea Tourism Knowledge Information System and shows the population statistics of Thai, Indonesian, Filipino, and Vietnamese people who entered Korea through the major ports of Incheon and Busan. Source: Tourism Knowledge & Information System (hosted by Ministry of Culture, Sports and Tourism) Countries: Thailand, Indonesia, Philippines, Vietnam Ports of entry: Incheon, Busan Data type: Monthly and weekly (inferred from monthly data) Time period: Up to November 2022

The average for 2023 based on 11 countries was 7.93 percent. The highest value was in Thailand: 14.72 percent and the lowest value was in Laos: 4.54 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2023 based on 11 countries was 53.65 percent. The highest value was in Singapore: 100 percent and the lowest value was in Cambodia: 25.57 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

This statistic shows Indonesia's total population from 2020 to 2024, with projections up until 2030. In 2024, the total population of Indonesia amounted to approximately 281.6 million inhabitants. Population of Indonesia Indonesia is a sovereign state archipelago in Southeast Asia and Oceania. Indonesia shares borders with Papua New Guinea, East Timor and Malaysia. With a total population of more than 255 million inhabitants, Indonesia is one of the top five most populous countries in the world. Indonesia is a developing nation and a founding member of the Association of Southeast Asian Nations as well as a member of the G-20 economies. It is slowly establishing itself amongst the top world economies. Gross domestic product of Indonesia showed an estimated growth rate of around 6.4 percent in 2014 in comparison to the previous year. Not only is the economy growing, but the population has rapidly grown also. It is estimated that by 2015, the total population will have grown by around 40 million people since 2003. However, despite the increase in the population growth, the fertility rate has slowly decreased over the past decade. Still, due to a better economic situation in the country and improved health and living conditions, life expectancy at birth has steadily increased over the last decade, a fact which also contributes to the total population growth in Indonesia.