In 2020, the total population of Mexico City reached 9.2 million and a population density of 6,163.3 residents by square kilometer. Population density has grown considerably in the country's capital during the past few decades, as it stood at 5,494 inhabitants per square meter in 1990.

Mexico City ranked as the most densely populated city in Mexico as of 2023. The capital recorded ***** inhabitants per square kilometer. Xalapa and Acapulco followed with ***** and ***** inhabitants per square kilometer, respectively.

Population density (people per sq. km of land area) in Mexico was reported at 66.74 sq. Km in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Mexico MX: Population Density: People per Square Km data was reported at 66.444 Person/sq km in 2017. This records an increase from the previous number of 65.609 Person/sq km for 2016. Mexico MX: Population Density: People per Square Km data is updated yearly, averaging 43.056 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 66.444 Person/sq km in 2017 and a record low of 20.265 Person/sq km in 1961. Mexico MX: 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 Mexico – Table MX.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;

The population density in Mexico stood at 66.16 people in 2022. In a steady upward trend, the population density rose by 46.67 people from 1961.

Comprehensive socio-economic dataset for Mexico 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 map shows the population density of Mexico in relation to freshwater sources and water bodies.

Mexico Population Density data was reported at 61.000 Person/sq km in 2015. This records an increase from the previous number of 57.300 Person/sq km for 2010. Mexico Population Density data is updated yearly, averaging 51.250 Person/sq km from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 61.000 Person/sq km in 2015 and a record low of 41.000 Person/sq km in 1990. Mexico Population Density data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G003: Population Density.

The Global Human Footprint dataset of the Last of the Wild Project, version 2, 2005 (LWPv2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1 km grid cells, created from nine global data layers covering human population pressure (population density), human land use and infraestructure (built-up areas, nighttime lights, land use/land cover) and human access (coastlines, roads, navigable rivers).The Human Footprint Index (HF) map, expresses as a percentage the relative human influence in each terrestrial biome. HF values from 0 to 100. A value of zero represents the least influence -the "most wild" part of the biome with value of 100 representing the most influence (least wild) part of the biome.

Mexico MX: Population Density: Inhabitants per sq km data was reported at 66.940 Person in 2022. This records an increase from the previous number of 66.350 Person for 2021. Mexico MX: Population Density: Inhabitants per sq km data is updated yearly, averaging 55.120 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 66.940 Person in 2022 and a record low of 43.300 Person in 1990. Mexico MX: 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 Mexico – Table MX.OECD.GGI: Social: Demography: OECD Member: Annual.

Guerrero is the Mexican state with the highest proportion of Afro-descendant population. In 2020, 8.6 percent of residents in this federal entity located on the coast of the Pacific Ocean defined themselves as Afro-descendants or Afro-Mexicans. In Mexico City, approximately two percent of inhabitants self-identified as Afro-descendants.

In 1800, the present-day region of Mexico had a population of just over six million people. Mexico gained its independence from the Spanish crown in 1821, and population growth remained steady for the next 85 years. Growth then halted with with the Panic of 1907, an American financial crisis whose ripple effects in Mexico would set the stage for the Mexican Revolution in 1910. This revolution would see population flatline at just over fifteen million between 1910 and 1920, as widespread conflict and result in the death of between 1.7 to 2.7 million over the decade, and the coinciding 1918 Spanish Flu epidemic would see the loss of another 300,000 in this time period. Following the end of both the Mexican Revolution and the Spanish Flu epidemic in 1920, the population of Mexico would begin to increase rapidly as modernization would see mortality rates fall and standards of living rise throughout the country. This growth has continued steadily into the 21st century, and in 2020, Mexico is estimated to have a population of just under 129 million.

Mexico City is a city with a population of 7,970,105 and lies in the 5000 and above (Very High) density category. The city has an area of 859.86 km² with a total green space of 28% and a tree coverage of 20%. The city lies in the Torrid Zone of the world. The city has improved its Urban green space per capita when compared to Global Average and also improved its Urban green space per capita when compared to previous year. Within Latin America, 38.5% of cities are ranked lower than Mexico City.

From the year 2015 to 2020 there has been an increase in the population density in Guadalajara, Mexico. During the last year, the city had around ***** inhabitants per square meter, while five years prior the density was lower than ***** inhabitants.

This panel dataset contains annual observations for 860 Mexican municipalities from 2000 to 2021. It includes fiscal, socioeconomic, political, and demographic variables used to study spatial interdependence in public expenditure. Key variables cover total expenditure, capital formation, subsidies, and service use (all in per capita terms), as well as explanatory and control variables such as household income, employment rate, political alignment, migration, federal transfers, taxation, population density, and reelection eligibility. The dataset also contains spatially lagged variables constructed using multiple spatial weight matrices (e.g., Queen contiguity, k-nearest neighbors with k=1 to 15) to facilitate spatial econometric analysis.

The red sea urchin fishery has a long harvest and management history along the Northeastern Pacific coast. In Mexico, it has been commercially harvested since 1972, and although it is one of the most important fisheries in Baja California, efforts to assess the condition and dynamics of harvestable stocks have been focused on certain harvested areas with scarce fisheries independent data. Additionally, the analysis of yearly information for small geographic areas has obscured the actual status of harvested populations. This study aims to re-assess population trends, fishing effort, and catches, incorporating all available information from the last 19 years. Information was grouped based on 14 landing sites along Baja California’s Pacific coast. Length based virtual population analysis (LVPA) was implemented to estimate site-specific catch rates and densities. Red sea urchin catches/landings varied widely within and between areas. Population density was below 1 urchin m–2 in most of the sites, and was composed of higher recruits and juvenile densities that may partially mitigate for fishery removals. LVPA produced biomass estimations that double previous estimates. We suggest that the model parameters used in previous estimations might not reflect key biological traits of the red sea urchin, failing to reproduce population trends accurately. Results from this study allowed identifying the specific sites where population attributes (biomass, densities), fishery data (catch, effort), and the combination of both (Kobe plots), suggest that urchin populations may need attention. New management measures must be adopted: maximum legal size of 110 mm, improvement on fishery logs and analysis, continuous fishery independent surveys to track changes in the population that might not be so apparent when observing only catch/biomass data. Reinforce the under legal size management strategy, since results suggest that sites with high abundances of small urchins can support higher catches.

The Mexico data center construction market exhibits robust growth potential, projected to reach a market size of XX million with a Compound Annual Growth Rate (CAGR) of 7.13% during the forecast period (2025-2033). This expansion is fueled by several key drivers. The burgeoning IT and telecommunications sector, coupled with increasing government initiatives to bolster digital infrastructure and enhance cybersecurity, are significantly boosting demand. Furthermore, the rising adoption of cloud computing and big data analytics necessitates substantial data center capacity, driving construction activity. Key trends shaping the market include the increasing adoption of sustainable and energy-efficient technologies like immersion cooling and direct-to-chip cooling systems within mechanical infrastructure, a shift towards higher-tier data centers (Tier III and Tier IV), and the growing demand for resilient and geographically diverse data center locations. However, the market faces certain restraints, including high initial investment costs associated with building and equipping data centers, the need for specialized skilled labor, and regulatory hurdles related to land acquisition and environmental compliance. The market is segmented by infrastructure type (electrical and mechanical), construction type (general), tier type (Tier I-IV), and end-user industry (banking, finance, IT, government, healthcare, and others). Within electrical infrastructure, key components include power distribution solutions (PDUs, transfer switches, switchgear), power backup solutions (UPS, generators), and associated services. Mechanical infrastructure segments comprise cooling systems (various types), racks, and other supporting components. The market's competitive landscape includes both international and domestic players such as Clune Construction Company LP, IBM Corporation, Schneider Electric SE, and others, vying for market share through strategic partnerships, technological innovation, and service offerings. The regional focus on Mexico underscores the country's strategic importance as a data center hub for North America. The analysis from 2019 to 2024 forms the historical base, informing projections through 2033. This growth trajectory is expected to be particularly strong in key metropolitan areas with high population density and robust economic activity. While the precise market size is not provided, the data clearly points to a significant and expanding market opportunity. Continued investments in renewable energy sources, coupled with government incentives to attract foreign investment in the data center sector, are anticipated to further fuel market growth. However, potential risks include geopolitical instability, economic fluctuations, and the availability of skilled labor, factors that need careful consideration for a comprehensive market outlook. Future analysis should focus on the detailed breakdown of regional growth patterns within Mexico, analyzing the specific contributions of each segment and end-user industry to provide more granular insights into market dynamics. This report provides a comprehensive analysis of the Mexico Data Center Construction Market, offering valuable insights into market dynamics, trends, and future growth potential. The market is segmented by infrastructure type, tier level, end-user industry, and key players. The report also analyzes the impact of recent industry developments and provides forecasts for the market's future growth. Market values are expressed in millions of USD. Recent developments include: November 2022: Kio Networks has purchased a new campus of data centers in the greater Mexico City Metro area. The campus, known as KIO MEX6, has a 50,000-square-meter building with a 20 MW energy capacity and the ability to house operations and essential communications and IT services., September 2022: The company, owned by América Móvil, signed a deal to jointly provide Oracle Cloud Infrastructure (OCI) services to clients throughout Mexico. As part of the collaboration, TELMEX-Triara was the host organization for the second Oracle Cloud Region planned for Mexico. Telmex's data center division, Triara, has five locations in Queretaro, Monterey, Mexico City, Guadalajara, and Cancun, offering 74,000 square meters (796,500 square feet) of space.. Key drivers for this market are: 9.1 Growing Cloud Applications, AI, and Big Data9.2 Growing Adoption of Hyperscale Data Centers in Large Enterprises9.3 Advent Green Data Center. Potential restraints include: 10.1 High CaPex, OpEx & TCO for building Data Center. Notable trends are: IT and Telecom to have significant market share.

Climate change, urbanization, and global trade have contributed to the recent spread of dengue viruses. In this study, we investigate the relationship between dengue occurrence in humans, climate factors (temperature and minimum quarterly rainfall), socio-economic factors (such as household income, regional rates of education, regional unemployment, housing overcrowding, life expectancy, and medical resources), and demographic factors (such as migration flows, age structure of the population, and population density). From a geographical perspective, this study focuses on Mexico and parts of the United States to exploit similarity in climate conditions and differences in socio-economic and demographic factors, so as to try to isolate the role of the latter. Areas at risk of dengue are first selected based on the predicted presence of at least one of the two mosquito vectors responsible for dengue's transmission: Aedes aegypti and Aedes albopictus. The presence of the mosquito in a region...

From the year 2015 to 2020, there has been an increase in the population density in the Mexican city of Monterrey starting with ******* inhabitants per square kilometer and ending with 2020 with ****** inhabitants, an ***** increase.

Early pioneer species share life histories enabling them to colonize disturbed sites, but how much they differ demographically and how such differentiation determines pioneer species turnover during succession are still open questions. Here, we approached these issues by comparing the demography of dominant pioneer tree species during the old-field succession of tropical rainforest in Southeast Mexico.

We assessed changes in population density, population structure, vital rates, and intrinsic population growth rate (r) of the pioneer species Trema micrantha, Cecropia peltata, and Trichospermum mexicanum during the first 35 years of succession. For this, we combined chronosequence and long-term (from 2000 to 2018) data from 14 old-fields with 0.5-35 years fallow age.

Trema colonized and disappeared first during succession (< 15 years), followed by Cecropia (< 28) and Trichospermum (> 31). All species exhibited hump-shaped successional trajectories of population density and biomass with Trema reaching a peak first, followed by Cecropia and later Trichospermum. Species exhibited a fast reduction in r with fallow age, with Trema reaching negative growth rates (r < 0) in the third, Cecropia in the fourth, and Trichospermum in the seventh year of succession. Recruitment, growth, and mortality rates of seedlings and juveniles defined the period of population increase and the age of succession at which each species reached maximum density and biomass. The mortality rate in mature stages determined how long each species persisted during succession. An important variation in species replacement occurred among study sites. In some sites one species was abundant and the others were almost absent, while it was the opposite in other sites. We inferred that priority inhibitory effects operated among species during the field colonization.

Synthesis: Although Trema, Cecropia, and Trichospermum are considered typical pioneer trees, these species differed importantly in their demographic attributes during succession. The speed at which r declined with age of succession indicated the moment at which each species reached its maximum density and species replacement sequence during succession. However, inter-specific priority inhibitory effects during field colonization may also be involved in the chance of colonization and replacement between species with similar regeneration strategies.

Methods Data were gathered from fourteen 10 x 50 m (500 m2) plots, eleven established in 2000, one in 2002, and two in 2004. All plots were established in abandoned cornfields. Due to the land-use dynamics in the region, the number of plots was unbalanced regarding fallow age. Nonetheless, the initial fallow age range (0.5-17 years) of the plots represented the most common secondary forest ages in the region. Trees of Cecropia peltata, Trema micrantha, and Trichospermum mexicanum with heights >= 1.5 m were monitored and measured in the entire plots every year until 2018. Individuals < 1.5 m height were monitored and measured in twenty 1 x 2 m subplots in five plots, which represented an initial fallow age range of 1.5 to 19 years. Additionally, in these five plots were sampled the seed rain (12 seed traps per plot, randomly distributed) and the seed bank (20 soil cores - 10 cm diameter, 10 cm depth- per plot, randomly distributed) during two years (2002-2004). Finally, in the year period 2017-2018, fecundity data was gathered from mature trees (> 5 cm DBH) of Cecropia and Trichospermum, which were located outside the plots. No fecundity data for Trema was collected.

Data were introduced into Excel files and regularly curated by a specialized technician.