For Thailand, Esri provides a standard demographics dataset sourced from data supplied by Michael Bauer Research GmbH, an advanced demographics dataset sourced from data supplied by Esri Thailand, and an ArcGIS Places dataset sourced from data supplied by NOSTRA through Esri Thailand. Visit Where to find Esri Location Data to learn more about using standard and advanced demographics and ArcGIS Places.
Release dates
- The standard demographics dataset was updated in February 2025; the vintage is 2024.
- The advanced demographics dataset was updated in February 2025; the vintage is 2023.
- The ArcGIS Places dataset was updated in February 2024; the vintage is 2023. This is an annual dataset.
Settlement points
- Esri's Thai standard demographics use population-weighted hexagonal centroid settlement points from 2022 Nostra residential housing unit points. The data was verified and corrected using Esri imagery and previous settlement points.
- Esri's Thai advanced demographics use population-weighted hexagonal centroid settlement points from 2021 Nostra residential housing unit points. The data was verified and corrected using Esri imagery and previous settlement points.
Base level geography
The Thai ArcGIS Places base level geography is geocoded points.
Geography levels
| Esri geography name | Local geography name | Standard demographics feature count | Advanced demographics feature count |
|---|---|---|---|
Country | Prathet Thai | 1 | 1 |
Provinces | Changwat | 77 | 77 |
Districts | Amphoe | 928 | 928 |
Subdistricts | None | — | 7,436 |
Visualize demographic data categories
The data browser is a visualization tool to help you explore the data categories available in this country or region's standard and advanced demographics. See Use the data browser to learn more about this visualization tool.
Standard demographics use cases
The Esri standard demographics dataset for Thailand is updated with Michael Bauer Research GmbH data updates to this region, approximately every two years. See the Standard demographics related links section below for a complete list of variables, release notes, and a sample report.
Example use cases that may help you understand Thailand's standard demographics include the following:
Total Population
 | What is measured: The total number of individuals living in a specific area. How you use it: Population counts are often used by local and national governments for policy planning, resource allocation, and to make informed decisions based on the needs of different population groups within a country or region. You can use this data to explore the allocation of public services, economic development, political representation, social research, and resources available for disaster preparedness. |
Population Density
 | What is measured: The number of people per unit of area (sq. mile or sq. kilometer). How you use it: Population Density is typically used for national and local projects such as infrastructure design, urban planning to allocate and distribute public services, and to assess the environmental impact of human activity based on where people are concentrated. |
Population per Mill
 | What is measured: The number of individuals in a region per thousand. How you use it: Population per Mill is used to understand the comparative distribution of population around a country or region based on a per-thousand ratio. This data is used to support market trend analysis, infrastructure planning, and regional and national policy development. Population distribution is often used in health care to track disease prevalence or vaccination rates. |
Male/Female Population Totals
 | What is measured: The total number of males and females in a region's population. How you use it: Male and Female Population counts provide insight into gender balance, which is used for informed decision-making in areas like education, workforce planning, health care, and skills training. This data is also used to help interpret complex results, such as health-care outcomes, crime statistics, targeted marketing campaigns, and housing shortages. |
Population Totals by Age and Gender
 | What is measured: The distribution of regional population across age groups and gender. How you use it: Male and Female Population by Age counts can be used to help predict future social and economic trends and to plan for future resource allocation based on age groups in fields such as education, health care, and the labor force. This data is important for identifying potential challenges related to shifts in age or gender ratios within different age brackets. |
Total Households
 | What is measured: The total number of households in a region. How you use it: Total Household counts can help you understand the composition of a country's population based on how many people live in a single dwelling or housing unit. This data assists with informed decision-making in areas like government policy, business strategy, community planning, and social research. You can use household counts to identify community needs, allocate public policy funds, perform business market analysis, and design targeted social programs. Local authorities use household counts to plan for community development projects, considering factors like housing availability and density. |
Average Household Size
 | What is measured: The median or average size of households (people who share the same living quarters) in a region. How you use it: Average Household Size data helps you to understand the overall population structure and informs policy decisions related to housing, resource allocation, and service provisioning. This data is used to analyze economic trends, specifically consumption patterns, based on the number of people sharing living spaces in a region. |
Purchasing Power
 | What is measured: The ability of individuals or households to buy goods and services in a region. Purchasing Power data consists of four metrics:
How you use it: Purchasing Power data can help improve understanding of the potential consumer market in a country or region, specifically to determine pricing strategies and market potential options. This data can be used to develop targeted product, business, and sales strategies when entering a new market or expanding within an existing one. |
Consumer Spending
 | What is measured: The amount of money spent by consumers on goods and services in a region. Consumer Spending data consists of four metrics:
How you use it: Consumer Spending data can be used to understand economic health, consumer behaviors, regional buying trends, and the preferences of different population segments across a country. This data can be used to inform marketing, product development, investment, and public policy strategies based on factors like age, income level, and geographic location data. Consumer Spending data can support market analysis initiatives, economic forecasting, investment planning, and policy development. |
Standard demographics related links
Refer to the following content:
- Release notes (PDF)
- Variable list (CSV)
- Sample report (PDF)
- Demographic map layers
Advanced demographics sample questions and use cases
Thailand's advanced demographics provide additional insight about this region for most data categories. You will find a range of detailed information about Thai regional population by nationality (Thai or non-Thai); population by age (1-year and 5-year groups); household income and spending; educational attainment; and a granular look at jobs and occupations. See the Advanced demographics related links section below for the complete list of variables, release notes, and a sample report.
Some sample questions that could be answered using Thai advanced demographics include the following:
- Which provinces have the highest population density in Thailand?
- What is the average household income in Bangkok compared to other major cities?
- Which regions have a high percentage of single-person households?
- Where are the highest concentrations of skilled workers located?
- What is the age breakdown in different regions of Thailand?
A selection of example use cases that may help you understand Thai advanced demographics include the following:
Population by Occupation
 | What is measured: The regional total, female, and male population age 4+ based on occupation categories. For example, the regional female population age 4+ employed in civil service. How you use it: Thai population categorized by occupation can be used by labor analysts to review the regional distribution of occupations and provide insights into labor market dynamics, such as the demand for different types of skills or overall employment trends in a region. Regional and local governments can use this data to create workforce development, education, and job training programs to address gaps or surpluses in specific occupations. Urban planners can use population by occupation data to make informed decisions about infrastructure, housing, and transportation requirements. Organizations can use this data to assess the diversity of their workforce and implement strategies to promote equal opportunities. |
Population by Age Groups
 | What is measured: Regional Central House Registered (Thai nationality) total, female, and male population based on specific age groups (age 0-14, age 15-59, and age 60+). For example, the regional Central House Registered male population age 15-59. How you use it: Thai population categorized by age groups can help healthcare agencies plan for health services tailored to different age groups within the local population. This includes anticipating healthcare needs, disease prevention strategies, and healthcare resource allocation. Educational institutions can use this data to forecast student enrollment numbers among Thai citizens across different age groups. This information can aid in planning school infrastructure, developing age-appropriate educational programs, and ensuring that educational resources are aligned with the demographic composition of the local population. Analyzing the age distribution of Thai citizens can provide insights into the composition of the local workforce, retirement trends, and potential labor shortages or surpluses within specific age brackets. Policymakers can use data about the age groups of Thai citizens to develop age-appropriate policies related to public assistance, healthcare, education, employment, and retirement. |
Advanced demographics related links
Refer to the following content:
ArcGIS Places example use cases
The ArcGIS Places dataset for Thailand—sourced from data supplied by NOSTRA through Esri Thailand—contains information about destinations such as shopping centers, hotels, banks, public parks, and more. Attributes may include the address, category, and landmark details, when available. See the Introduction to ArcGIS Places or NOSTRA topics for more information.
Some example use cases that may help you understand the ArcGIS Places dataset for Thailand include the following:
- Businesses may use the ArcGIS Places dataset for Thailand to locate competitors, perform site selections, identify marketing opportunities, and perform proximity analysis.
- Urban planners may leverage the ArcGIS Places dataset for Thailand to understand the distribution of amenities and services within a city, aiding in effective zoning and infrastructure development.
- Retailers may use this dataset to assess how well their venues perform and to conduct market research.
- Emergency services may utilize the ArcGIS Places dataset for Thailand to identify critical facilities such as hospitals, fire stations, and schools, enhancing response times and resource allocation during emergencies.
- Tourism industry professionals can use the ArcGIS Places dataset for Thailand to create travel guides that highlight points of interest, helping visitors navigate local attractions.
- Environmental study researchers can use the ArcGIS Places dataset for Thailand to study the impact of human activities on the environment by analyzing the proximity of certain points of interest to natural resources or protected areas.
ArcGIS Places related links
Refer to the following content: