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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. Malaysia data available from WorldPop here.
In 2022, the population density in Malaysia remained nearly unchanged at around 105.6 inhabitants per square kilometer. Nevertheless, 2022 still represents a peak in the population density in Malaysia. 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 Philippines and Laos.
This data is including population and population density by State in Malaysia 2018. I created this table from the Department of statistics MALAYSIA. This source is exhibit 1 of below https://www.dosm.gov.my/v1/index.php?r=column/cthemeByCat&cat=333&bul_id=RWsxR3RwRVhDRlJkK1BLalgrMGRlQT09&menu_id=U3VPMldoYUxzVzFaYmNkWXZteGduZz09
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Population density (people per sq. km of land area) in Malaysia was reported at 106 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Malaysia - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Malaysia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
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Malaysia Population Density: People per Square Km data was reported at 96.254 Person/sq km in 2017. This records an increase from the previous number of 94.924 Person/sq km for 2016. Malaysia Population Density: People per Square Km data is updated yearly, averaging 53.374 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 96.254 Person/sq km in 2017 and a record low of 25.623 Person/sq km in 1961. Malaysia 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 Malaysia – Table MY.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;
As of July 2024, the population of Selangor was estimated at approximately 7.4 million. Selangor is Malaysia's most populous state, as well as the state with the largest economy in terms of gross domestic product. The Golden Peninsula Malaysia is comprised of 13 states and three Wilayah Persekutuan (WP) or federal territories, which include Labuan, an offshore financial center on the east; the nation’s capital, Kuala Lumpur; and the administrative center, Putrajaya - both on the west. The aforementioned two federal territories on the west are enclaves within Selangor. In addition to that and the many points of interest it has to offer, Selangor is Malaysia’s most visited state among domestic tourists. Darul Ehsan – The Abode of Sincerity Selangor is a sultanate, ruled by Sultan Sharafuddin Idris Shah since 2001. Located on the west coast of the Malaysian peninsula, the state hosts the country’s two main transportation hubs: Kuala Lumpur International Airport and Port Klang, the country’s largest port.The state is also Malaysia’s largest economy, which contributes a big part to Malaysia’s overall GDP per capita. With the prime location, good infrastructure, and two federal territories within, Selangor will continue to attract more people for work, travel, or more.
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MY: Population Density: Inhabitants per sq km data was reported at 105.600 Person in 2022. This records an increase from the previous number of 104.340 Person for 2021. MY: Population Density: Inhabitants per sq km data is updated yearly, averaging 80.410 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 105.600 Person in 2022 and a record low of 54.280 Person in 1990. MY: 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 Malaysia – Table MY.OECD.GGI: Social: Demography: Non OECD Member: Annual.
The population density in Laos saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 32.75 inhabitants per square kilometer. Nevertheless, 2022 still represents a peak in the population density in Laos with 32.75 inhabitants per square kilometer. Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 Malaysia and Brunei.
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.
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Since November 2019, most countries across the globe have suffered from the disastrous consequences of the Covid-19 pandemic which redefined every aspect of human life. Given the inevitable spread and transmission of the virus, it is critical to acknowledge the factors that catalyse transmission of the disease. This research investigates the relation of the external demographic parameters such as total population, population density and weighted population density on the spread of Covid-19 in Malaysia. Pearson correlation and simple linear regression were utilized to identify the relation between the population-related variables and the spread of Covid-19 in Malaysia using data from 15th March 2020 to 31st March 2021. As a result, a strong positive significant correlation between the total population and Covid-19 cases was found. However, a weak positive relationship was found between the density variable (population density and weighted population density) and the spread of Covid-19. Our findings suggest that the transmission of Covid-19 during lockdown (Movement Control Order, MCO) in Malaysia was more readily explained by the demographic variable population size, than population density or weighted population density. Thus, this study could be helpful in intervention planning and managing future virus outbreaks in Malaysia.
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Since November 2019, most countries across the globe have suffered from the disastrous consequences of the Covid-19 pandemic which redefined every aspect of human life. Given the inevitable spread and transmission of the virus, it is critical to acknowledge the factors that catalyse transmission of the disease. This research investigates the relation of the external demographic parameters such as total population, population density and weighted population density on the spread of Covid-19 in Malaysia. Pearson correlation and simple linear regression were utilized to identify the relation between the population-related variables and the spread of Covid-19 in Malaysia using data from 15th March 2020 to 31st March 2021. As a result, a strong positive significant correlation between the total population and Covid-19 cases was found. However, a weak positive relationship was found between the density variable (population density and weighted population density) and the spread of Covid-19. Our findings suggest that the transmission of Covid-19 during lockdown (Movement Control Order, MCO) in Malaysia was more readily explained by the demographic variable population size, than population density or weighted population density. Thus, this study could be helpful in intervention planning and managing future virus outbreaks in Malaysia.
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Comprehensive socio-economic dataset for Malaysia 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.
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Malaysia administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
In 2022, the population density in Cambodia remained nearly unchanged at around 97.45 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 Thailand and Malaysia.
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Since November 2019, most countries across the globe have suffered from the disastrous consequences of the Covid-19 pandemic which redefined every aspect of human life. Given the inevitable spread and transmission of the virus, it is critical to acknowledge the factors that catalyse transmission of the disease. This research investigates the relation of the external demographic parameters such as total population, population density and weighted population density on the spread of Covid-19 in Malaysia. Pearson correlation and simple linear regression were utilized to identify the relation between the population-related variables and the spread of Covid-19 in Malaysia using data from 15th March 2020 to 31st March 2021. As a result, a strong positive significant correlation between the total population and Covid-19 cases was found. However, a weak positive relationship was found between the density variable (population density and weighted population density) and the spread of Covid-19. Our findings suggest that the transmission of Covid-19 during lockdown (Movement Control Order, MCO) in Malaysia was more readily explained by the demographic variable population size, than population density or weighted population density. Thus, this study could be helpful in intervention planning and managing future virus outbreaks in Malaysia.
In 2023, the urban population in Malaysia reached approximately 27.65 million people. In the last decade, the urban population in Malaysia has increased by more than five million people, indicating an upward trend in urbanization. Rapid urbanization In 2023, approximately 78 percent of Malaysia’s population lived in urban areas and cities. This puts Malaysia as one of Southeast Asia’s most urbanized countries. The metropolitan area of Greater Kuala Lumpur had a population of more than eight million in that year, making it Malaysia’s biggest urban area. However, about twice as many Malaysians lived in cities with half a million inhabitants or less. Urban-rural divide For many Malaysians, urbanization brought about more and better economic opportunities and job prospects. The average monthly income for urban households was more than 3,000 Malaysian ringgit higher than that of rural households. Poverty rates in rural areas were also significantly higher than that in urban areas. Even so, the countryside still holds a nostalgic place in the hearts of Malaysians, encapsulated in the romanticized idea of the ‘kampung’ or Malay village.
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Pearson correlation and simple linear regression analysis for population density and cumulative Covid-19 cases.
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MY:人口密度:每平方公里人口在12-01-2017达96.254Person/sq km,相较于12-01-2016的94.924Person/sq km有所增长。MY: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53.374Person/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96.254Person/sq km,而历史最低值则出现于12-01-1961,为25.623Person/sq km。CEIC提供的MY: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马来西亚 – Table MY.World Bank.WDI:人口和城市化进程统计。
Market Size for Malaysia Dairy Food Products Industry on the Basis of Revenues in USD Billion, 2018-2024 In 2023, Dutch Lady Milk Industries launched a new line of fortified dairy beverages to cater to the health-conscious segment of the market. This initiative aims to tap into the growing demand for functional foods in Malaysia, offering products that provide additional health benefits beyond basic nutrition. Kuala Lumpur and Johor are key markets due to their high population density and strong retail infrastructure. The Malaysia dairy food products market reached a valuation of MYR 5.5 Billion in 2023, driven by the increasing demand for healthy and convenient food options, rising health awareness, and a growing population with a preference for dairy-based products. The market is characterized by major players such as Fonterra, Nestlé Malaysia, Dutch Lady Milk Industries, and Marigold. These companies are recognized for their extensive distribution networks, diverse product offerings, and customer-focused marketing strategies.
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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. Malaysia data available from WorldPop here.