In 2023, Bangkok had the highest population density of all provinces in Thailand, with almost ***** people per square kilometer. Nonthaburi followed second, with a population density of around ***** people per square kilometer.

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.

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;

Population density (people per sq. km of land area) in Thailand was reported at 140 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The population density in Thailand saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 140.41 inhabitants per square kilometer. Nevertheless, 2022 still represents a peak in the population density in Thailand with 140.41 inhabitants per square kilometer. Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Myanmar and Laos.

In 2023, the population density of Bangkok was around ***** people per square kilometer, lower than the previous year, which was over ***** people per square kilometer. This value has slightly decreased over the past few years.

Historical dataset showing Thailand population density by year from 1961 to 2022.

Population density of Thailand, Myanmar, Laos, Cambodia, and Vietnam based on data from the World Data Bank. This dataset also includes a visualization of the data using CartoDB. The time period is from 1995 to 2000.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

TH: Population Density: Inhabitants per sq km data was reported at 140.410 Person in 2022. This records an increase from the previous number of 140.400 Person for 2021. TH: Population Density: Inhabitants per sq km data is updated yearly, averaging 130.300 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 140.410 Person in 2022 and a record low of 107.140 Person in 1990. TH: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Thailand – Table TH.OECD.GGI: Social: Demography: Non OECD Member: Annual.

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.

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

Chart and table of population level and growth rate for the Bangkok, Thailand metro area from 1950 to 2025.

Density of nursing and midwifery personnel of Thailand jumped by 14.30% from 2.7 number per thousand population in 2018 to 3.1 number per thousand population in 2019. Since the 1.24% fall in 2007, density of nursing and midwifery personnel shot up by 103.30% in 2019.

In 2023, there were approximately 14.6 million males in Thailand who were 25 to 54 years old, which was the largest population group compared to other age groups. In comparison, there were around 3.9 million males who were over 65 years old in that same year.

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. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

This bar chart displays population (people) by ISO 3 country code using the aggregation sum in Thailand. The data is filtered where the date is 2021. The data is about countries per year.

In 2023, the share of children in Thailand amounted to approximately 16.22 percent of the population. This was a slight decrease compared to the previous year, which amounted to 16.43 percent of the population in Thailand.

In 2023, there were around 14.87 million females in Thailand who were 25 to 54 years old, which was the largest population group compared to other female age groups. In comparison, there were almost four million females who were 15 to 24 years old in that same year.