Actual value and historical data chart for Saudi Arabia Population Density People Per Sq Km

The population density in Saudi Arabia stood at 14.97 people in 2022. Between 1961 and 2022, the population density rose by 13.79 people, though the increase followed an uneven trajectory rather than a consistent upward trend.

Saudi Arabia SA: Population Density: People per Square Km data was reported at 15.322 Person/sq km in 2017. This records an increase from the previous number of 15.014 Person/sq km for 2016. Saudi Arabia SA: Population Density: People per Square Km data is updated yearly, averaging 7.329 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 15.322 Person/sq km in 2017 and a record low of 1.963 Person/sq km in 1961. Saudi Arabia SA: 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 Saudi Arabia – Table SA.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;

Saudi Arabia: Population density, people per square km: The latest value from 2021 is 17 people per square km, unchanged from 17 people per square km in 2020. In comparison, the world average is 456 people per square km, based on data from 196 countries. Historically, the average for Saudi Arabia from 1961 to 2021 is 8 people per square km. The minimum value, 2 people per square km, was reached in 1961 while the maximum of 17 people per square km was recorded in 2019.

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

The largest population group in the Kingdom of Saudi Arabia consisted of **** million male nationals and about **** million female Saudi nationals in 2018. Female foreigners numbered an estimated **** million - less than half of the number of male foreigners dwelling in Saudi Arabia. According to estimates, the total population of Saudi Arabia during this time period was 33.2 million people.   Regional context    Though Saudi Arabia, with a landmass of **** million square kilometers, is the largest Middle Eastern country, population wise it in the midfield. This results in a low population density in Saudi Arabia of only 15.3 inhabitants per square kilometer. Saudi Arabia has a unique position within the Gulf Cooperation Council countries as approximately two thirds of the population are Saudi Arabian nationals – unlike the other countries in the subregion were the citizens are the minority of the population.   Population development    The population of Saudi Arabia grew between 2011 and 2017 by 3.1 percent. This is reflected in Saudi Arabia’s relatively young population with a median age of 29.8 years. The average life expectancy in Saudi Arabia is increasing as well, which indicates social and economic improvement within the country.

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. Saudi Arabia data available from WorldPop here.

In 1800, the territory of modern-day Saudi Arabia had a population of just over two million people. This figure would see little change for over a century, only rising to three million in the 1940s, almost a century and a half later. The population of Saudi Arabia would only see a major increase starting in the 1950s, as the oil reservoirs discovered in 1938 led to a booming oil industry which has been fundamental to the country's socioeconomic development ever since. While growth would slow somewhat from the 1980s to 1990s, partially due to the economic impact of the oil-price crash of 1986, the population would continue to increase well into the 21st century, and in 2020, just under 35 million people are estimated to live in the country.

Comprehensive socio-economic dataset for Saudi Arabia 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.

This research study analysed the crime rate spatially and it examined the relationship between crime and spatial factors in Saudi Arabia. It reviewed the related literature that has utilised crime mapping techniques, such as Geographic Information Systems (GIS) and remote sensing (RS); these techniques are a basic part of effectively helping security and authority agencies by providing them with a clear perception of crime patterns and a surveillance direction to track and tackle crime. This study analysed the spatial relationships between crime and place, immigration, changes in urban areas, weather and transportation networks. The research study was divided into six parts to investigate the correlation between crime and these factors. The first part of the research study examined the relationship between crime and place across the 13 provinces of Saudi Arabia using GIS techniques based on population density in order to identify and visualise the spatial distributions of national and regional crime rates for drug crimes, thefts, murders, assaults, and alcohol-related and ‘outrageous crimes’ (offences against Islam) over a 10-year period from 2003 to 2012. Social disorganisation theory was employed to guide the study and explain the diversity in crime patterns across the country. The highest rates of overall crimes were identified in the Northern Borders Province and Jizan, which are located in the northern and southern regions of the country, respectively; the eastern area of the country was found to have the lowest crime rate. Most drug offences occurred in the Northern Borders Province and Jizan; high rates of theft were recorded in the Northern Borders Province, Jouf Province and Makkah Province, while the highest rates of homicide occurred in Asir Province. The second part of the research study aimed to determine the trends of overall crime in relation to six crime categories: drug-related activity, theft, murder, assault, alcohol-related crimes and outrageous or sex-related crimes, in Saudi Arabia’s 13 provinces over a 10-year period from 2003 to 2012. The study analysed the spatial and temporal changes of criminal cases. Spatial changes were used to determine the differences over the time period of 2003–2012 to show the provincial rates of change for each crime category. Temporal changes were used to compute the trends of the overall crime rate and crimes in the six categories per 1,000 people per year. The results showed that the overall crime rate increased steadily until 2008; thereafter it decreased in all areas except for the Northern Borders Province and Jizan, which recorded the highest crime rates throughout the study period. We have explained that decrease in terms of changes in wages, support for the unemployed and service improvements, which were factors that previous studies also emphasised as being the primary cause for the decrease. This study includes a detailed discussion to contribute to the understanding of the changes in the crime rates in these categories throughout this period in the 13 provinces of Saudi Arabia. The third part of the research study aimed to explain the effects of immigration on the overall crime rate in the six most significant categories of crime in Saudi Arabia, which are drug-related activity, theft, murder, assault, alcohol-related crimes and outrageous crimes, during a 10-year period from 2003 to 2012, in all 13 administrative provinces. It also sought to identify the provinces most affected by the criminal activities of immigrants during this period. No positive association between immigrants and criminal cases was found. It was clearly visible that the highest rate of overall criminal activities was in the south, north and Makkah areas, where there is a high probability of illegal immigrants. This finding supports the basic criminological theory that areas with high levels of immigrants also experience high rates of crime. The study’s results provide recommendations to the Saudi government, policy-makers, decision-makers and immigration authorities, which could assist in reducing crimes perpetrated by immigrants. In the fourth part of the research study, urban areas were examined in relation to crime rates. Urban area expansion is one of the most critical types of worldwide change, and most urban areas are experiencing increased population growth and infrastructure development. Urban change leads to many changes in the daily activities of people living within an affected area. Many studies have suggested that urbanisation and crime are related. However, those studies focused on land uses, types of land use and urban forms, such as the physical features of neighbourhoods, roads, shopping centres and bus stations. It is very important for criminologists and urban planning decision-makers to understand the correlation between urban area expansion and crime. In this research, satellite images were used to measure urban expansion over a 10-year period; the study tested the correlations between these expansions and the number of criminal activities within these specific areas. The results show that there is a measurable relationship between urban expansion and criminal activities. The findings support the crime opportunity theory as one possibility, which suggests that population density and crime are conceptually related. Moreover, the results show that the correlations are stronger in areas that have undergone greater urban growth. This study did not evaluate many other factors that might affect the crime rate, such as information on the spatial details of the population, city planning, economic considerations, the distance from the city centre, the quality of neighbourhoods, and the number of police officers. However, this research will be of particular interest to those who aim to use remote sensing to study crime patterns. The fifth part of the research study investigated the impacts of weather on crime rates in two different cities: Riyadh and Makkah. While a number of studies have examined climate influences on crime and human behaviour by investigating the correlation between climate and weather elements, such as temperature, humidity and precipitation, and crime rates, few studies have focused on haze as a weather element and its correlation with crime. This research examined haze as a weather variable to investigate its effects on criminal activity and compare its effects with those of temperature and humidity. Monthly crime data and monthly weather records were used to build a regression model to predict crime cases based on three weather factors using temperature, humidity and haze values. This model was applied to two provinces in Saudi Arabia with different types of climates: Riyadh and Makkah. Riyadh Province is a desert area in which haze occurs approximately 17 days per month on average. Makkah Province is a coastal area where it is hazy an average of 4 days per month. A measurable relationship was found between each of these three variables and criminal activity. However, haze had a greater effect on theft, drug-related crimes and assault in Riyadh Province than temperature and humidity. Temperature and humidity were the efficacious variables in Makkah Province, while haze had no significant influence in that region. Finally, the sixth part of the research study examined the influence of the quality and extent of road networks on crime rates in both urban and rural areas in Jizan Province, Saudi Arabia. We performed both Ordinary Least Squares regression (OLS) and Geographically Weighted Regression (GWR) where crime rate was the dependent variable and paved (sealed) roads, non-paved (unsealed/gravel) roads and population density were the explanatory variables. Population density was a control variable. The findings reveal that, across all 14 districts in that province, the districts with better quality paved road networks had lower rates of crime than the districts with unpaved roads. Furthermore, the more extensive the road networks, the lower the crime rate whether or not the roads were paved. These findings concur with those reported in studies conducted in other countries, which revealed that rural areas are not always the safe, crime-free places they are often believed to be. This research contributes knowledge about the geographical information of criminal movement, and it offers some conceivable reasons for crime rates and patterns in relation to the spatial factors and the socio-cultural perspectives of Saudi Arabian life. More geographical research is still needed in terms of criminology, which will provide a better understanding of crime patterns, particularly in Saudi Arabia, and across the globe, where the spatial distribution of criminal cases is an essential base in crime research. Furthermore, additional studies are needed to investigate the complex interventions of the effect of different spatial variables on crime and the uncertainties correlation with the impact of environmental factors. This can help predict the impact of socioeconomic and environmental factors. The greater part of such an investigation will enhance the understanding of crime patterns, which is imperative for advancing a framework that can be used to address crime reduction and crime prevention.

季节性调整后：人口密度：每平方公里人口在12-01-2017达15.322Person/sq km，相较于12-01-2016的15.014Person/sq km有所增长。季节性调整后：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7.329Person/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15.322Person/sq km，而历史最低值则出现于12-01-1961，为1.963Person/sq km。CEIC提供的季节性调整后：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沙特阿拉伯 – 表 SA.世行.WDI：人口和城市化进程统计。

All columns except Population and Density limited to: Metropolitan France, Britain, Mainland.http://data.worldbank.org). The columns NUTS1, NUTS2, and NUTS3 refer to the numbers of official administrative regions. Alternative partitions (Alt.) refer to the 11 historical regions of Portugal going back to the Administrative Code of 1936 [27], to the 19 regions of Ivory Coast, and to the 13 regions of Saudi Arabia. Column L1 shows the number of communities found by the community detection algorithm, L2 the number of sub-communitites after iterative application to subnetworks. Density (Dens.) is given in population per square kilometer, population data (Pop.), in millions, is taken from the World Bank, 2011 (

The Saudi Arabian electric water heater market, valued at $873.5 million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) exceeding 4.90% from 2025 to 2033. This expansion is fueled by several key factors. Rising urbanization and increasing disposable incomes within the Kingdom are driving higher demand for convenient and energy-efficient hot water solutions. Government initiatives promoting energy efficiency and sustainable technologies further bolster market growth. The shift towards modern housing construction, featuring pre-installed electric water heaters, also contributes significantly. Furthermore, advancements in technology, including the introduction of smart water heaters with enhanced features like remote control and energy monitoring, are attracting consumers and driving market expansion. Competition is fierce, with established international players like Bosch, Rheem, Whirlpool, and AO Smith alongside local manufacturers vying for market share. Challenges include the fluctuating price of electricity and the ongoing development of the overall Saudi Arabian infrastructure. However, the long-term outlook remains positive, given the Kingdom’s ongoing infrastructure development and the growing adoption of modern home appliances. The market segmentation, while not explicitly detailed, is likely diverse, encompassing various capacity ranges, features (e.g., tankless vs. tank), and price points to cater to the varied consumer needs and preferences. The regional distribution is expected to reflect the population density and development patterns across Saudi Arabia, with major cities experiencing higher demand. Future market growth will depend on sustained economic growth, government policies promoting energy conservation, and continued innovation within the electric water heater industry. The market's strength resides in its alignment with the broader trends of urbanization, improved living standards, and a focus on energy efficiency within Saudi Arabia. Key drivers for this market are: Raising construction Projects. Potential restraints include: Availability of Substitutes. Notable trends are: Growing Construction in Saudi Arabia.

BackgroundVitamin D deficiency has been linked to an increased risk of osteoporosis. Vitamin D deficiency has reached high levels in the Saudi population, but there is conflicting evidence both in the Saudi population, and worldwide, regarding the existence of a correlation between these low vitamin D levels and reduced BMD (bone mineral density), or osteoporosis.ObjectiveThe objective of this study was primarily to determine whether there was a correlation between vitamin D deficiency and osteoporosis in the Saudi population. We aimed to investigate whether the high levels of vitamin D deficiency and insufficiency would translate to higher prevalence of osteoporosis, and whether there is a correlation between vitamin D levels and bone mineral density.Materials and methodsThis was a community based cross sectional study conducted in the Family Medicine Clinics at King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia. Electronic records of 1723 patients were reviewed. Laboratory and radiology results were collected, including vitamin D levels, calcium levels, and bone mineral density scan results.ResultsAmong the whole population, 61.5% had moderate to severe vitamin D deficiency with levels less than 50nmol/L. 9.1% of the population had osteoporosis, and 38.6% had osteopenia. Among the whole population, there was no significant correlation between spine or total femoral BMD and serum 25(OH) D.ConclusionVitamin D deficiency is prevalent in the Saudi population. However, no correlation has been found between vitamin D deficiency and reduced bone mineral density in any age group, in males or females, Saudis or Non-Saudis, in our population in Riyadh, Saudi Arabia.

IntroductionReferrals are an integral part of any healthcare system. In the Kingdom of Saudi Arabia (KSA) an electronic referral (e-referral) system known as the Saudi Medical Appointments and Referrals Centre (SMARC) began formally functioning in 2019. This study aims to showcase the Saudi experience of the e-referral system and explore the epidemiology of referrals nationally.MethodsThis retrospective descriptive study utilised secondary collected data between 2020 and 2021 from the SMARC system. Cross tabulations with significance testing and colour-coded maps were used to highlight the patterns across all regions.ResultsThe study analysed over 600,000 referral requests. The mean age of patients was 40.70 ± 24.66 years. Males had a higher number of referrals (55.43%). Referrals in 2021 were higher than those in 2020 (56.21%). Both the Autumn and Winter seasons had the highest number of referrals (27.09% and 27.43%, respectively). The Surgical specialty followed by Medicine had the highest referrals (26.07% and 22.27%, respectively). Life-saving referrals in the Central region were more than double those in other regions (14.56%). Emergency referrals were also highest in the Southern regions (44.06%). The Central and Eastern regions had higher referrals due to unavailable sub-speciality (68.86% and 67.93%, respectively). The Southern regions had higher referrals due to both unavailable machine and unavailable beds (18.44% and 6.24%, respectively).ConclusionThis study shows a unique system in which referrals are between secondary, tertiary, and specialised care. It also highlights areas of improvement for equitable resource allocation and specialised care in slightly problematic areas as well as the use of population density in future planning.

Smart Metering for Water Use in Developing Countries (DCs) Market Outlook

According to our latest research, the Global Smart Metering for Water Use in Developing Countries (DCs) market size was valued at $1.8 billion in 2024 and is projected to reach $5.9 billion by 2033, expanding at a robust CAGR of 14.2% during the forecast period of 2025–2033. One of the primary drivers propelling this market growth is the urgent need for efficient water management and loss reduction in developing countries, where aging infrastructure and rapid urbanization are putting immense pressure on existing water resources. As governments and utilities in these regions intensify efforts to monitor, control, and optimize water distribution, the adoption of smart metering solutions is accelerating, laying the foundation for sustainable water use and improved service delivery across diverse sectors.

Regional Outlook

The Asia Pacific region currently holds the largest share of the Smart Metering for Water Use in DCs market, accounting for approximately 38% of the global market in 2024. This dominance is attributed to the region’s rapid urbanization, substantial investments in smart infrastructure, and the presence of several large-scale government initiatives aimed at modernizing utility networks. Countries such as China and India are spearheading the adoption of smart water metering, driven by chronic water scarcity, high population density, and a growing focus on digital transformation. Moreover, favorable government policies, public-private partnerships, and pilot projects in metropolitan areas are accelerating market expansion. The maturity of the Asia Pacific market is further underscored by the presence of established local manufacturers and technology providers who are actively collaborating with municipal authorities to deploy scalable, cost-effective solutions.

In terms of growth momentum, the Middle East & Africa region is forecasted to be the fastest-growing market, with a projected CAGR of 17.8% from 2025 to 2033. This impressive rate is largely driven by acute water stress, government mandates to reduce non-revenue water, and increasing investments in smart city initiatives. Countries such as the United Arab Emirates, Saudi Arabia, and South Africa are rapidly embracing advanced metering infrastructure to address water scarcity and improve billing accuracy. International funding agencies and development banks are also playing a pivotal role by supporting infrastructure upgrades and technology transfers. The region’s ambitious targets for water conservation and efficient utility management are expected to sustain high demand for smart metering solutions over the coming decade.

Emerging economies in Latin America are also witnessing a steady uptick in smart water meter adoption, although their market share remains comparatively modest. Key challenges in these regions include limited access to capital, fragmented regulatory frameworks, and the need for localized solutions tailored to diverse urban and rural environments. Nevertheless, increasing awareness about the economic and environmental benefits of smart metering, coupled with pilot deployments in countries like Brazil, Mexico, and Colombia, is gradually paving the way for broader market penetration. Policy reforms, capacity-building initiatives, and technology partnerships are expected to further accelerate adoption, although progress may be uneven due to infrastructural and socio-economic disparities.

Report Scope

サウジアラビアの人口密度を国土面積と総人口から算出し最新の推移グラフや日本との比較表、世界人口密度ランキング(狭い)等を用い、人口密度が低いのか高いのかを説明しています。各種データはcsv出力・ダウンロードも可能です。（EXCELでも使用可能）元データのソースはworldbank.orgで、当サイト(GraphToChart)が独自に計算・算出し全て無料で利用可能ですので、研究や分析レポートにお役立て頂ければ幸いです。

Aadhaar e-KYC Market Outlook

According to our latest research, the Global Aadhaar e-KYC market size was valued at $1.8 billion in 2024 and is projected to reach $7.5 billion by 2033, expanding at a CAGR of 17.2% during 2024–2033. The primary driver of this rapid growth is the increasing mandate for digital identity verification across both public and private sectors, fueled by ongoing digitization initiatives and the need for secure, seamless customer onboarding processes. As governments and enterprises worldwide strive to streamline their operations and enhance security, Aadhaar e-KYC solutions have become indispensable in enabling fast, compliant, and cost-effective identity verification, especially in sectors like banking, telecom, and e-commerce.

Regional Outlook

The Asia Pacific region currently holds the largest share of the global Aadhaar e-KYC market, accounting for over 65% of the total market value in 2024. This dominance is primarily driven by India, where Aadhaar-based e-KYC has become the gold standard for digital identity verification, underpinning a wide array of government and private sector services. Mature digital infrastructure, progressive regulatory frameworks, and widespread adoption of the Aadhaar platform have enabled rapid scaling of e-KYC solutions. Additionally, countries like Singapore and Malaysia are also investing heavily in digital identity ecosystems, further consolidating Asia Pacific’s leadership in this market. The region’s robust growth is underpinned by a combination of high population density, mobile internet penetration, and strong government backing for digital transformation initiatives.

The fastest-growing region in the Aadhaar e-KYC market is the Middle East & Africa, projected to register a CAGR of 19.5% from 2024 to 2033. This surge is attributed to increasing investments in digital infrastructure, government-led digital ID programs, and a burgeoning fintech sector. Countries such as the United Arab Emirates and Saudi Arabia are spearheading national digital identity frameworks, driving adoption of e-KYC solutions across banking, telecom, and government services. Furthermore, the region’s youthful, tech-savvy population and high mobile phone penetration are catalyzing the transition to digital onboarding and authentication processes. Strategic collaborations between local governments and global technology providers are further accelerating market growth in this region.

In contrast, emerging economies in Latin America and Africa face unique challenges in Aadhaar e-KYC adoption. While there is significant potential due to underbanked populations and growing demand for financial inclusion, issues such as inadequate digital infrastructure, inconsistent regulatory frameworks, and limited public awareness have hampered widespread implementation. However, ongoing pilot projects, donor-backed digital ID initiatives, and increasing mobile penetration are gradually bridging these gaps. Localized demand from microfinance institutions, e-commerce platforms, and healthcare providers is expected to drive gradual adoption, especially as governments introduce supportive policies and invest in foundational digital infrastructure.

Report Scope

Abbreviations: SR, Saudi riyal (currency unit of Saudi Arabia); HbA1c, glycated hemoglobin; HDL, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; CRP, C-reactive protein.†Logistic regression model adjusted for sex, age (continuous) and nationality (Saudi, non-Saudi).‡For ordinal variables, P-value was estimated from the linear trend test.Association between risk factors and prevalence of diabetic peripheral neuropathy among individuals with diabetes. †

As of 2018, the demographic group of 30 to 34-year-olds in the Emirate of Dubai was above *** thousand people. Considering that the total population of the Emirate of Dubai was estimated to be around *** million people in 2020, the above-mentioned age bracket is a substantial share of Dubai’s society.   In the context of the United Arab Emirates   Dubai is the most populous region in the United Arab Emirates, followed by the Emirate of Abu Dhabi the United Arab Emirates was the second largest country amongst the Gulf Cooperation Council countries with almost ** million people, behind Saudi Arabia with a population thrice the size. The United Arab Emirates has about *** million male and *** million female inhabitants altogether.  Expats and Emirati    When discussing the demographic composition of this region, the gender imbalance is not the only demographic skewness experienced in the United Arab Emirates, particularly in its Dubai region. Additionally, foreign workers and expatriates significantly outnumber the indigenous population. Only an estimated *** million people in the United Arab Emirates are nationals of their country. The majority of the expatriate’s hail from the subcontinent. In terms of the working population of the United Arab Emirates, ** percent of men and ** percent of women in the labor force are from Asia.  Outlook    The population density of the UAE is continuing to grow, though the urban population growth of the UAE had slowed down considerably.