In 2024, the population density of Singapore was 8,207 people per square kilometers. The population of Singapore had been increasing over the years within a very limited space, posing challenges such as housing shortages and land scarcity. Limited land, expanding population With an urban population of around 5.69 million people in 2020 and a land area of approximately 720 square kilometers, Singapore was the third most densely populated territory in the world. This was not expected to ease in the near future, with the population of Singapore estimated to grow to 6.52 million people in 2035. While this might not come close to the population size of other Asian metropolises such as Tokyo or Bangkok, the lack of land available for development poses a great challenge to the island city-state. Since its independence in 1965, Singapore has increased its land area from 581.5 square kilometers to its current size through land reclamation. However, Singapore’s proximity to Malaysia and the Riau Islands in Indonesia effectively limit the available area for reclamation to its maritime borders. The importance of urban planning Urban planning in Singapore must therefore make effective use of what little land is available without compromising livability. Most residents live in apartments situated in high-rise buildings, with a large majority of the population living in public housing provided by the Housing Development Board. Rooftop gardens, tree-lined roads and green innovations such as vertical farming and “breathing walls” help soften the presence of all that glass and concrete, earning Singapore its moniker of “Garden City”. Whether and how well Singapore can sustain the quality of life that its residents are used to with an ever-increasing population density in the next twenty years is, however, to be seen.

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 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.

Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.

Population density (people per sq. km of land area) in Singapore was reported at 7851 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Singapore SG: Population Density: People per Square Km data was reported at 7,915.731 Person/sq km in 2017. This records an increase from the previous number of 7,908.721 Person/sq km for 2016. Singapore SG: Population Density: People per Square Km data is updated yearly, averaging 4,374.479 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 7,915.731 Person/sq km in 2017 and a record low of 2,540.896 Person/sq km in 1961. Singapore SG: 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 Singapore – Table SG.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;

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

In 2023, there were around ***** inhabitants per square kilometer living in Singapore. In comparison, there were approximately two inhabitants per square kilometer living in Mongolia that year.

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. Singapore data available from WorldPop here.

Singapore Population: Density data was reported at 7,866.000 Person/sq km in 2019. This records an increase from the previous number of 7,804.000 Person/sq km for 2018. Singapore Population: Density data is updated yearly, averaging 4,679.000 Person/sq km from Jun 1957 (Median) to 2019, with 61 observations. The data reached an all-time high of 7,866.000 Person/sq km in 2019 and a record low of 2,486.000 Person/sq km in 1957. Singapore Population: Density data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Statistics.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_3d227e5d9fdec73f3bcadce671c333a6/view

Comprehensive socio-economic dataset for Singapore 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.

Density of physicians of Singapore rose by 3.51% from 2.5 number per thousand population in 2020 to 2.6 number per thousand population in 2021. Since the 4.40% upward trend in 2011, density of physicians soared by 42.17% in 2021.

The population density in Bangladesh reached its highest in 2020, amounting to approximately 1.27 thousand people per square kilometer. The South Asian country was the tenth most densely populated country in the world in 2019. Within the Asia Pacific region, Bangladesh’s population density was only exceeded by Macao, Singapore, Hong Kong, and the Maldives. Overall, Asia had the highest population density in the world in 2018.

Population growth in Bangladesh

In 1971, Bangladesh gained its independence from Pakistan. Bangladesh’s birth rate and mortality rate had declined significantly in the past years with a life expectancy of 72.59 years in 2019. In general, the population in Bangladesh had been growing at a slow pace, slightly fluctuating around an annual rate of one percent. This growth was forecasted to continue, although it was estimated to halve by 2040. As of today, Dhaka is the largest city in Bangladesh.

Population density explained

According to the source, “population density is the mid-year population divided by land area in square kilometers.” Further, “population is based on the de facto definition of population, which counts all residents.” Bangladesh’s population reached an estimated number of 164.69 million inhabitants in 2020. In 2018, the country’s land area amounted 130.2 thousand square kilometers.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_ae8f6f7e9184361a187dd335fa04b684/view

India's total population reached nearly **** billion people as of 2023, making the country by far the most populous throughout the Asia-Pacific region. Contrastingly, Micronesia had a total population of around *** thousand people in the same year. The demographics of APAC Asia-Pacific, made up of many different countries and regions, is the most populated region across the globe. Being home to a significant number of megacities, and with the population ever-increasing, the region is unsurprisingly expected to have the largest urban population by 2050. However, as of 2021, the majority of Asia-Pacific countries had rural populations greater than ** percent.  Population densities Despite China being the most populated country across the region, it fell in the middle of Asia-Pacific regions in terms of population density. On the other hand, Macao, Singapore, and Hong Kong all had the highest population densities across the Asia-Pacific region. These three Asia-Pacific regions also ranked among the top four densest populations worldwide.   

SG：人口密度：每平方公里人口在12-01-2017达7,915.731Person/sq km，相较于12-01-2016的7,908.721Person/sq km有所增长。SG：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为4,374.479Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达7,915.731Person/sq km，而历史最低值则出现于12-01-1961，为2,540.896Person/sq km。CEIC提供的SG：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的新加坡 – 表 SG.世行.WDI：人口和城市化进程统计。

1. There is mounting concern that people living more urbanised, modern lifestyles have fewer and lower quality interactions with nature, and therefore have limited access to the associated health and wellbeing benefits. Yet, variation in the different types of nature interactions and the factors that influence these interactions across populations are poorly understood.
2. We compared four types of nature interactions by administering surveys across two cities that differ markedly in urbanisation pattern and population density—Singapore and Brisbane—: (i) indirect (viewing nature through a window at work or at home); (ii) incidental (spending time in nature as part of work); (iii) intentional interactions in gardens; and (iv) intentional interactions in public urban greenspaces.
3. Our results show that Singapore respondents spent about half as much time (25.8 hours per week) interacting with nature as Brisbane respondents (52.3 hours per week), and indirect interactions were the most prevalent across both cities.
4. Nature orientation, age, income and gender significantly predicted the duration of nature interactions in both cities, while self-reported health, education and ethnicity additionally predicted duration of nature interactions only for Brisbane. Also, the relationship(s) between each factor and duration could differ in direction and effect size between types of nature interactions.
5. As such, we conclude that there is much local variation in the dynamics of interactions between people and nature, and that focused studies are needed to develop effective interventions addressing declines in nature interactions in different locations. Methods Please refer to the readme.txt file, and the actual paper for more details.

The Singapore Self-Storage Market size was valued at USD 300 Million in 2024 and is projected to reach USD 472.5 Million by 2032, growing at a CAGR of 5.8% from 2026 to 2032.

Key Market Drivers:

• Urbanization and Limited Living Spaces: As Singapore’s population density grows, residential areas become more confined, creating a greater demand for self-storage options. This trend is predicted to continue, with the self-storage market projected to reach 3.11 million square feet in 2025 and increase at a compound annual growth rate (CAGR) of 6.30% to 4.23 million square feet by 2030.

• Evolving Business Needs: With the advent of e-commerce and the growing number of startups, particularly in the technology and e-commerce industries, businesses are looking for flexible and cost-effective storage solutions. Self-storage provides operational flexibility and cost savings, making it a popular choice for enterprises.

In the past decade, Japan’s degree of urbanization has leveled off at around 92.04 percent. This means that less than 10 percent of Japan’s population of 126 million inhabitants do not live in an urban setting. Japan is well above the degree of urbanization worldwide, which is 55 percent. Japan is also known for its high population density: In 2017, it amounted to an eye-watering 347.78 inhabitants per square kilometer - however, it is not even among the top twenty countries with the highest population density worldwide. That ranking is lead by Monaco, followed by China, and Singapore. Japan’s aging population The main demographic challenge that Japan currently faces is an aging population, as the number of inhabitants over 65 years old is an increasing percentage of the population. As of 2018, Japan is the country with the largest percentage of total population over 65 years, and life expectancy at birth there is about 84 years. Simultaneously, the birth rate in Japan is declining, resulting in negative population growth in recent years. One method Japan is using to address these demographic shifts is by investing in automated work processes; it's one of the top countries interested in collaborative robots.

Singapore Last Mile Delivery Market size was valued at USD 11.57 Billion in 2024 and is projected to reach USD 23.07 Billion by 2032, growing at a CAGR of 12.19% during the forecast period 2026-2032.

Singapore Last Mile Delivery Market Drivers

1. E-commerce boom E-commerce has grown as a result of Singapore's highly digitalized populace and extensive internet access.

Demand for quicker and more effective last-mile delivery services is fueled by websites like Lazada, Shopee, and Amazon Prime Now.

1. High Population Density and Urbanization Fast and effective last-mile logistics are made possible by Singapore's small metropolitan layout.

Because warehouses and customers are close to one another, businesses can maximize same-day or next-day delivery.