The statistic depicts the ten largest cities in Mexico in 2020. In 2020, Mexico City had around 8.84 million residents which made it the largest city in Mexico.

Population of Mexico

Mexico is a federal republic located in North America, sharing borders with the United States to the north, and to the southeast with Guatemala and Belize. With a total area of over 1.9 million square kilometers, it is the fourteenth largest nation in the world and the fifth largest in the Americas.

In 2014, Mexico’s total population amounted to approximately 120 million people. A little under two thirds of Mexico’s total population is of Mestizo ethnicity. The total population has steadily grown over the past decade, despite being the source to the largest migration flow between countries in the world; in 2010, around 11.6 million immigrants from Mexico lived in the United States. The migration flow between the United States and Mexico has however, decreased over the past ten years: Between 1995 and 2000, over 2.9 million migrants emigrated from Mexico to the United States. This was more than the double of migrants who emigrated from Mexico to the United States between 2005 and 2010. Each year, Mexico's population grows by about 1.24 percent compared to the previous year. Mexico City, the country’s capital and largest city, is home to approximately 8.6 million people.

In 2025, approximately 23 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the sixth most populated in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. The second place for the region was Mexico City with 22.75 million inhabitants. Brazil's cities Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 11.45 million inhabitants, and Rio de Janeiro around 6.21 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. Mexico City Mexico City's metropolitan area ranks sevenths in the ranking of most populated cities in the world. Founded over the Aztec city of Tenochtitlan in 1521 after the Spanish conquest as the capital of the Viceroyalty of New Spain, the city still stands as one of the most important in Latin America. Nevertheless, the preeminent economic, political, and cultural position of Mexico City has not prevented the metropolis from suffering the problems affecting the rest of the country, namely, inequality and violence. Only in 2023, the city registered a crime incidence of 52,723 reported cases for every 100,000 inhabitants and around 24 percent of the population lived under the poverty line.

A dataset listing New Mexico cities by population for 2024.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Deposit Taking Microfinance Institutions (MFIs) for Mexico (MEXFCBODMFLNUM) from 2009 to 2015 about microfinance, branches, Mexico, and deposits.

This statistic shows the ten largest cities in Italy in 2025. In 2025, around 2.75 million people lived in Rome, making it the largest city in Italy. Population of Italy Italy has high population figures and a high population density in comparison to other European countries. A vast majority of Italians lives in urban areas and in the metropolises (as can be seen in this statistic), while other areas, such as the island Sardinia, are rather sparsely inhabited. After an increase a few years ago, Italy’s fertility rate, i.e. the average amount of children born to a woman of childbearing age, is now on a slow decline; however, it is still high enough to offset any significant effect the decrease might have on the country’s number of inhabitants. The median age of Italy’s population has been increasing rapidly over the past 50 years – which mirrors a lower mortality rate – and Italy is now among the countries with the highest life expectancy worldwide, only surpassed by two Asian countries, namely Japan and Hong Kong. Currently, the average life expectancy at birth in Italy is at about 83 years. Most of Italy’s population is of Roman Catholic faith. The country actually boasts one of the largest numbers of Catholics worldwide; other such countries include Brazil, Mexico and the United States. The central government of the Roman Catholic Church, the Holy See, is located in Vatican City in the heart of Italy’s capital and ruled by the Bishop of Rome, the Pope. Officially, Vatican City does not belong to Italy, but is a sovereign state with its own legislation and jurisdiction. It has about 600 inhabitants, who are almost exclusively members of the clergy or government officials.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Other Financial Intermediaries for Mexico (MEXFCBMLNUM) from 2009 to 2012 about intermediaries, branches, Mexico, and financial.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Abstract

The COVID-19 pandemic is first and foremost a health shock, but the secondary economic shock is equally formidable. Access to timely, policy-relevant information on the awareness of, responses to and impacts of the health situation and related restrictions are critical to effectively design, target and evaluate programme and policy interventions. This research project investigates the main socioeconomic impacts of the pandemic on UNHCR people of concern (PoC) – and nationals where possible – in terms of access to information, services and livelihoods opportunities. Three geographic regions were taken into consideration: Southern Mexico, Mexico City and the Northern and Central Industrial Corridor. Two rounds of data collection took place for this survey, with the purpose of following up with the respondents.

Geographic coverage

Southern Mexico, Mexico City, Northern and Central Mexico

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

The ProGres database served as the sampling frame due to the unavailability of other reliable sources. Likewise, the sample was stratified by location and population groups based on country of origin helping to account for the different economic realities from one part of the country to another, as well as differences between nationalities. Following discussion with the UNHCR country team and regional bureau, three geographic regions were presented for consideration : a) Southern Mexico; b) Mexico City; and c) the Northern and Central Industrial Corridor. Additionally, partners expressed interest in the Venezuelan community as a separate group, primarily residing in Mexico City, Monterrey and Cancun. The population of the four groups represents 67% of the active registered refugees in Mexico. Out of the 35,140 refugee households in the four regions, 26,688 families have at least one phone number representing an overall high rate of phone penetration. Across regions of interest, Hondurans make up the single largest group of PoC in Southern Mexico (38%), and the Northern and Central Industrial Corridor (43%), whereas Venezuelans make up over half of the PoC population in Mexico City (52%). Based on the above, a sampling strategy based on four separate strata was proposed in order to adequately represent the regions and sub-groups of interest: 1. Southern Mexico – Honduran and El Salvadoran PoC population 2. Mexico City – Honduran, El Salvadoran and Cuban PoC population 3. Northern and Central Industrial Corridor – Hondurans and El Salvadoran PoC population 4. Venezuelan Population – Mexico City, Monterey (Nuevo Leon) and Cancun (Quintana Roo) A comparable sub-sample of the national population in the same locations PoC were sampled was also generated using random digit dialing (RDD). This was made possible through the inclusion of location-based area codes in the list of phone numbers, however selected participants were also asked about their current location as a first filter to proceed with the phone survey to ensure a comparable national sub-sample.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

Questionnaire contained the following sections: consent, knowledge, behaviour, access, employment, income, food security, concerns, resilience, networks, demographics

The state of Mexico is the most populated region in Mexico, being home to around 13.44 percent of the country's total population. In 2022, approximately 17.32 million people lived in the state of Mexico, whereas 9.3 million resided in the country's capital, Mexico City. The state with the lowest number of inhabitants was Colima, with around 770,900 residents.

In 2024, Colima in Mexico ranked as the world's most dangerous city with a homicide rate of 140 per 100,000 inhabitants. Seven of the 10 cities with the highest murder rates worldwide are found in Mexico. The list does not include countries where war and conflict exist. Latin America dominates murder statistics Except for Mandela Bay, all the cities on the list are found in Latin America. Latin America also dominate the list of the world's most dangerous countries. Violence in Latin America is caused in great part by drug trafficking, weapons trafficking, and gang wars. Crime in South Africa Mandela Bay in South Africa is the only city outside Latin America among the 10 most dangerous cities worldwide. The country is struggling with extremely high levels of inequality, and is struggling with high levels of crime and power outages, harming the country's economy and driving more people into unemployment and poverty.

Ajaplan was the most polluted city in Mexico in 2024, based on fine air particulate matter concentration (PM2.5). Throughout the year, the city had an average particulate matter concentration of 24.3 micrograms per cubic meter. The average particulate matter pollution in the national capital Mexico City stood at 19.5 micrograms per cubic meter that year. How bad is fine air pollution in Mexico? Fine air particulate pollution (PM2.5) refers to particles with a diameter smaller than 2.5 micrometers. Due to their small size, once inhaled they can penetrate body tissue, and trigger respiratory issues such as asthma and allergies, in addition to being associated with an increase in mortality from cardiovascular and respiratory diseases. The World Health Organization's air quality standards recommend a maximum annual average concentration of 10 µg/m³. Nevertheless, Mexico's PM2.5 levels in 2024 averaged over 17 µg/m³. This positioned Mexico in 55th place amongst the countries with the highest PM2.5 concentration that year, far below Chad, which ranked first in the list with pollution levels reaching over 90 µg/m³. Mexico also had some of the cities with the highest air pollution across Latin America, together with Chile and Peru. Where are the world’s most polluted cities? Despite pollution levels above those recommended by the World Health Organization, Mexico City didn’t even make it to the top 25 most polluted capital cities in 2024. That year, the ranking was topped by Indian capital New Delhi, with an average PM2.5 concentration of nearly 108.3 µg/m³. In fact, the majority of the most air polluted cities worldwide in 2024 were located in India, with the average PM2.5 concentration reaching as high as 128.2 µg/m³. Pakistan also had some of the world’s most polluted cities.

On September 19, 1985, a magnitude 8.1 earthquake occurred off the Pacific coast of Mexico. The damage was concentrated in a 25 km2 area of Mexico City, 350 km from the epicenter. The underlying geology and geologic history of Mexico City contributed to this unusual concentration of damage at a distance from the epicenter. Of a population of 18 million, an estimated 10,000 people were killed, and 50,000 were injured. In addition, 250,000 people lost their homes and property damage amounted to $5 billion. This set of slides shows different types of damaged buildings and the major kinds of structural failure that occurred in this earthquake including collapse of top, middle and bottom floors and total building failure. The effect of the subsoils on the earthshaking and building damage are emphasized. Over 800 buildings crumbled, including hotels, hospitals, schools, and businesses. Communications between Mexico City and the outside world were interrupted for many days. Surrounding areas affected by the earthquake included the Mexican States of Jalisco, Guerrero, and Michoacan. Damage in the epicentral area wasrestricted to a few tourist resorts and industrial estates along the Mexico Pacific coast. A two-meter tsunami also caused some damage in this area. There are geologic reasons why Mexico and especially Mexico City are vulnerable to earthquake damage. Along the west coast of southern Mexico and Central America, the Cocos Plate dips beneath the North American Plate producing a very active seismic zone. Since the beginning of the Twentieth Century, 84 earthquakes of magnitude greater than 7.0 have occurred in this zone. The location of the 1985 earthquake's epicenter near the coast at the border between the states of Michoacan and Guerrero was not a surprise. Prior to the 1985 earthquake this area, located between two areas that had experienced recent earthquakes, was known as the 'Michoacan Gap. 'The 'gap 'was filled in 1985 by the main shock and a severe aftershock (magnitude 7.5) that occurred two days later, on September 21. Mexico City lies in a broad basin formed approximately 30 million years ago by faulting of an uplifted plateau. Volcanic activity closed the basin and resulted in the formation of Lake Texcoco. The Aztecs chose an island in this lake as an easily defended location for their capitol. The expansion of Mexico City and the gradual draining of the lake left the world's largest population center located on unconsolidated lake-bed sediments. These soft sedimentary clay deposits amplified the seismic waves, or they liquefied, destroying the foundation of some buildings. Double resonance coupling between the earthquake waves, the subsoils, and the buildings caused intensity IX shaking in some areas, lasting up to three minutes. Earthquakes in 1957 and in 1979 also damaged Mexico City. However, neither of these earthquakes was quite as devastating as the 1985 earthquake. In the area of greatest damage in downtown Mexico City, some types of structures failed more frequently than others. In the highest damage category were buildings with six or more floors. Resonance frequencies of these buildings were similar to the resonance frequencies of the subsoil. Because of the unusual flexibility of Mexico City structures, upper floors swayed as much as one meter and frequently collapsed. Differential movements of adjacent buildings also resulted in damage. A flexible building often failed if it was held by adjacent, more rigid lower buildings. Damage or failure often occurred where two swaying buildings came in contact with each other. Corner buildings were also vulnerable to damage. Lessons learned from the patterns of earthquake damage need to be applied to prevent another disaster when an earthquake releases stress that is building in another area-along the Mexico coast between Acapulco and Zihuatanejo.

Mexico Luxury Goods Market size was valued to be USD 4.2 Billion in the year 2024, and it is expected to reach USD 7.22 Billion in 2032, at a CAGR of 7% over the forecast period of 2026 to 2032.

Mexico Luxury Goods Market Drivers

Rising Disposable Income and Economic Growth: A sustained increase in per capita income and overall economic growth in Mexico is boosting the purchasing power of consumers. This is leading to an expanding aspirational middle class and a growing number of high-net-worth individuals who have the financial capacity to spend on premium and aspirational goods.
Changing Consumer Preferences and Lifestyle Aspirations: Mexican consumers, particularly the younger generation and the growing middle class, are increasingly drawn to luxury brands as symbols of status, exclusivity, and refined taste. Luxury products are seen as lifestyle statements, fostering a strong emotional connection with consumers and reflecting personal style.
Urbanization and Expansion of Luxury Retail Spaces: Rapid urbanization in major Mexican cities like Mexico City, Monterrey, and Guadalajara is leading to the development of premium shopping destinations, including upscale malls and standalone boutiques. This expansion of physical retail infrastructure makes luxury goods more accessible and provides immersive brand experiences.
Growth of E-commerce and Digital Luxury Retail: Digital platforms are significantly increasing the accessibility of luxury goods, especially in tier-2 and tier-3 cities. High-end brands are investing in user-friendly websites, virtual try-ons, and AI-driven personalization to replicate the in-store experience online, catering to tech-savvy consumers. E-commerce in Mexico has seen robust growth across various categories, including fashion and luxury goods.

PurposeIn Mexico, 39.5% of adolescents do not meet the World Health Organisation’s physical activity guidelines. Urbanicity is a potential correlate of physical activity. The aim of this study was to examine the associations between different aspects of urbanicity and adolescents’ physical activity.MethodsParticipants were 4,079 Mexican adolescents aged 15–18 from Mexico City and Oaxaca, Mexico. Data was collected between February and June 2016. Multiple imputation of missing data was implemented after confirming values were missing at random. Multivariable regression models examined associations between five domains of self-reported physical activity: 1) moderate-to-vigorous physical activity, 2) sports activities, 3) leisure time activities, 4) Physical Education class at school, 5) active commuting to school; and a composite measure of urbanicity and its seven sub-scores: 1) demographic, 2) economic activity, 3) built environment, 4) communication, 5) education, 6) diversity and 7) health services. Multivariable regression models were adjusted for parents’ education and participants’ age.ResultsUrbanicity was positively associated with activity spent in Physical Education class. The association between urbanicity and sport activities depended on state context. Communication-based urbanicity was negatively associated with leisure physical activity and active commuting. Population density was positively associated with active commuting.ConclusionUrbanicity is associated with adolescents’ physical activity in Mexico. Findings were largely consistent between Mexico City and Oaxaca and highlight the value of examining urbanicity as a multidimensional construct.

Reducing energy use is a key way in which we can help to reduce carbon emissions in the UK. Communal environments, such as shared offices, consume a large amount of energy. It is therefore important to examine people's perceptions and motivations to use and save energy. This study examines motivations to save energy at work and at home and the likely reactions to different cooperative scenarios around energy use. Data comprises: demographics, including whether participants have managerial responsibitilites, size and sector of organisation worked for; behavioural intentions for energy use at home and at work; motivations to save energy at work and at home; concern about climate change and energy security; experience of black outs, power cuts and air pollution.

This project will investigate innovative ways of dividing up and representing energy use in shared buildings so as to motivate occupants to save energy. Smart meters (energy monitors that feed information back to suppliers) are currently being introduced in Britain and around the world; the government aims to have one in every home and business in Britain by 2019. One reason for this is to provide people with better information about their energy use to help them to save energy. Providing energy feedback can be problematic in shared buildings, and here we focus on workplaces, where many different people interact and share utilities and equipment within that building. It is often difficult to highlight who is responsible for energy used and difficult therefore to divide up related costs and motivate changes in energy usage. We propose to focus on these challenges and consider the opportunities that exist in engaging whole communities of people in reducing energy use.

This project is multidisciplinary, drawing primarily on computer science skills of joining up data from different sources and in examining user interactions with technology, design skills of developing innovative and fun ways of representing data, and social science skills (sociology and psychology) in ensuring that displays are engaging, can motivate particular actions, and fit appropriately within the building environment and constraints. We will use a variety of methods making use of field deployments, user studies, ethnography, and small-scale surveys so as to evaluate ideas at every step.

We have divided the project into three key work packages: 'Taking Ownership' which will focus on responsibility for energy usage, 'Putting it Together' where we will put energy usage in context, and 'People Power' where we will focus on creating collective behaviour change. In more detail, 'Taking Ownership' will explore how to identify who is using energy within a building, how best to assign responsibility and how to feed that back to the occupants. We know that simplicity of design is key here, as well as issues of fairness and ethics, and indeed privacy (might people be able to monitor your coffee drinking habits from this data?). 'Putting it Together' will consider different ways of combining energy data, e.g. joining this up across user groups or spaces, and combining energy data with other commonly available information, e.g. weather or diary data, so as to put it in context. We will also spend time considering the particular building context, the routines that currently exist for occupants, and the motivations that people have for using and saving energy within the building, in understanding how best to present energy information to the occupants.

Our third theme, 'People Power' will focus on changing building user's behaviour collectively. We will examine how people interact around different energy goals, considering in particular cooperation and regulation, in finding out what works best in different contexts. The project then brings all aspects of research together in the use of themed challenge days where we promote specific energy actions for everyone in a building (e.g. switching off equipment after use) and demonstrate the impact that collective behaviour change can have. Beyond simply observing what works in this context through objective measures of energy usage, we will analyse when and where behaviour changes occurred and speak to the users themselves to find out what was engaging.

These activities will combine to inform technical, design and policy recommendations for energy monitoring in workplaces as well as conclusions for other multi-occupancy buildings. Moreover, we will develop a tool kit to pass on to other companies and buildings so that others can use the findings and experience gained here. We will also explore theoretical implications of our results and communicate our academic findings to the range of disciplines involved

Patterns of fish mislabeling found in three cities within Mexico, including sample size (N) and mislabeling rates (% M).

Mexico's housing market demonstrates significant regional price variations, with Mexico City emerging as the most expensive area for residential property in 2024. The capital city's average house price of 3.91 million Mexican pesos far exceeds the national average of 1.73 million pesos, highlighting the stark contrast in property values across the country. This disparity reflects broader economic and demographic trends shaping Mexico's real estate landscape. Sustained growth in housing prices The Mexican housing market has experienced substantial growth over the past decade, with home prices more than doubling since 2010. By the third quarter of 2023, the nominal house price index reached 255.54 points, representing a 146 percent increase from the baseline year. Even when adjusted for inflation, the real house price index showed a notable 40 percent growth, underscoring the market's resilience and attractiveness to investors. The mortgage market is dominated by three main player types: Infonavit, Fovissste, and commercial banks including Sofomes. In 2023, Infonavit, a scheme by Mexico's National Housing Fund Institute which provides lending to workers in the formal sector, was responsible for the majority of mortgages granted to individuals. Challenges in mortgage lending Despite the overall growth in housing prices, Mexico's mortgage market has faced challenges in recent years. The number of new mortgage loans granted has declined over the past decade, falling by approximately 200,000 loans between 2008 and 2023. This decrease in lending activity may be attributed to various factors, including economic uncertainties and changing consumer preferences. The state of Mexico, which is home to 13 percent of the country's population, likely plays a significant role in shaping these trends, given its large demographic influence on the national housing market.

Two out of every three persons in Chiapas lived under the poverty line in 2022, making it the federal entity with the largest share of poor population in Mexico. On average, about 36 percent of the Mexican population was living in poverty that year.

As of 2024, three out of ten Latin American and Caribbean cities with the highest local purchasing power were located in Mexico. With an index score of 51.3, people in Querétaro had the highest domestic purchasing power in Mexico. In South America, the city with the highest domestic purchasing power for 2024 was Montevideo, scoring 53 index points.

A dataset listing New Mexico counties by population for 2024.