This statistic shows the ten biggest cities in Argentina in 2019. In 2019, approximately ***** million people lived in Buenos Aires, making it the biggest city in Argentina.

Population in largest city in Argentina was reported at 15618288 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Argentina AR: Population in Largest City: as % of Urban Population data was reported at 36.918 % in 2024. This records an increase from the previous number of 36.789 % for 2023. Argentina AR: Population in Largest City: as % of Urban Population data is updated yearly, averaging 38.673 % from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 45.060 % in 1960 and a record low of 36.395 % in 2019. Argentina AR: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.;United Nations, World Urbanization Prospects.;Weighted average;

As of January 2025, the province of Buenos Aires registered the highest number of inhabitants, with over 17.8 million. Córdoba and Santa Fe followed far behind with 3.91 and 3.58 million, respectively. The city of Buenos Aires ranked as the third most populated metropolitan area of Latin America, only behind São Paulo and Mexico City.

Population in the largest city (% of urban population) in Argentina was reported at 36.92 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Argentina AR: Population in Largest City data was reported at 15,618,288.000 Person in 2024. This records an increase from the previous number of 15,490,415.000 Person for 2023. Argentina AR: Population in Largest City data is updated yearly, averaging 11,407,033.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 15,618,288.000 Person in 2024 and a record low of 6,761,837.000 Person in 1960. Argentina AR: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.;United Nations, World Urbanization Prospects.;;

Based on the more than *** startup companies identified in Argentina, over half were located in Buenos Aires. The Argentine capital and its larger metropolitan area were home to *** startup companies as of September 2024. Córdoba, Argentina's second most populated city, was the second favorite city to found a startup in Argentina, with *** enterprises. The Argentine startup ecosystem In recent years, Argentina and Brazil concentrated over ** percent of the startup ecosystem value in Latin America. Argentina alone accounted for ** percent of the total. This South American nation's ecosystem was valued at ** billion U.S. dollars that year, followed closely by Brazil, whose ecosystem's value stood at ** billion dollars.In 2023, Buenos Aires topped the list of best cities for startups in Argentina, registering a total score of ****. That year, the country’s capital and Córdoba also appeared in the ranking of top cities for startups in Latin America and the Caribbean. Female entrepreneurship Female entrepreneurship has been on the rise in Latin America, pushing against a male-dominated environment in the business sector. It continues to encounter, however, remarkable obstacles. Argentina’s female entrepreneurial activity rate was remarkably distant from that of other Latin American countries, like Ecuador and Colombia, where it exceeded ** percent. By contrast, even if the entrepreneurial activity rate among women in Argentina was not particularly high, it can be said that most females started their business because it was their choice, and not out of necessity.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Commercial Banks for Argentina (ARGFCBODCLNUM) from 2004 to 2015 about branches, Argentina, banks, and depository institutions.

Due to the COVID-19 pandemic, the occupancy rate of hotels in Argentine cities plunged significantly in 2020 to levels below ** and even ** percent. For instance, Buenos Aires registered an average room occupancy of **** percent in the 12 months of 2020. The city of Mendoza, the capital of the main wine tourism destination in the country, recorded an average occupancy of roughly ** percent.

The Argentinian hospitality industry, valued at approximately $335 million in 2025, is projected to experience steady growth, with a Compound Annual Growth Rate (CAGR) of 3.00% from 2025 to 2033. This growth is fueled by several key factors. Firstly, Argentina's increasing popularity as a tourist destination, driven by its rich culture, diverse landscapes, and relatively affordable travel costs compared to other South American countries, is boosting demand for hotels and other hospitality services. Furthermore, the growth of the middle class and increasing disposable incomes are leading to higher domestic tourism and spending within the sector. The expansion of budget and economy hotels caters to a wider range of travelers, driving market penetration. However, economic volatility, inflation, and fluctuating currency exchange rates pose significant challenges and act as restraints on growth. The industry is segmented by type (chain vs. independent hotels) and service level (budget/economy, mid-scale, luxury, and service apartments). While international chains like Marriott and Wyndham have a presence, a substantial portion of the market is comprised of smaller, independent hotels, particularly in regions outside major cities. The luxury segment is expected to witness slower growth compared to the budget and mid-scale segments due to its sensitivity to economic fluctuations. Growth will likely be most pronounced in urban areas with strong tourist activity and improving infrastructure. The forecast period of 2025-2033 anticipates continued, albeit moderate, expansion. While the overall CAGR remains at 3%, specific segments will likely experience varying growth rates. Budget and economy hotels will probably outpace luxury hotels, driven by price-sensitive tourists and the growing middle class. The rise of online travel agencies and booking platforms will continue to influence market dynamics, impacting both pricing strategies and market share among different hotel chains and independent players. Addressing the challenges posed by economic instability and political uncertainty will be crucial for sustained industry growth in Argentina. Focusing on attracting foreign investment and improving infrastructure will likely be key strategies for stakeholders in the hospitality sector. Recent developments include: June 2022: Argentina’s hotel and restaurant federation sought to level the playing field in online distribution by debuting a homegrown booking website. Federación Empresaria Hotelera Gastronómica de la República Argentina (FEHGRA) has launched ReservAR AlojaMiento, which promotes local, licensed establishments and whether they are affiliated with the association or not., August 2023: IHG Hotels and Resorts, one of the world's hotel companies, launched its new midscale conversion brand, Garner an IHG Hotel. The brand will be the leading choice for guests wanting great value stays at high-quality properties and for owners seeking higher returns in the midscale segment.. Key drivers for this market are: Rising Tourism Sector is Driving the Market. Potential restraints include: Rising Tourism Sector is Driving the Market. Notable trends are: The Buenos Aries is Dominating the Market.

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We cover all regions and cities in the country. A few example:

Regions:

Argentine Northwest: Jujuy, Salta, Tucumán, Catamarca Gran Chaco: Formosa, Chaco, Santiago del Estero Mesopotamia (or Littoral): Misiones, Entre Ríos, Corrientes Cuyo: San Juan, La Rioja, Mendoza, San Luis Pampas: Córdoba, Santa Fe, La Pampa, Buenos Aires Patagonia: Rio Negro, Neuquén, Chubut, Santa Cruz, Tierra del Fuego

Cities: 1. Buenos Aires
2. Cordoba 3. Rosario 4. Mendoza 5. La Plata
6. Tucumán 7. Mar del Plata
8. Salta
9. Santa Fe
10. San Juan
11. Resistencia 12. Santiago del Estero 13. Corrientes
14. Neuquén 15. Posadas 16. San Salvador de Jujuy
17. Bahía Blanca
18. Paraná
19. Formosa 20. San Fernando del Valle de Catamarca 21. San Luis
22. La Rioja
23. Comodoro Rivadavia
24. Río Cuarto
San Nicolás de los Arroyos (Buenos Aires) San Rafael (Mendoza) Rafael Castillo (Buenos Aires) Trelew (Chubut) Santa Rosa (La Pampa) Tandil (Buenos Aires) Villa Mercedes (San Luis) Puerto Madryn (Chubut) Morón (Buenos Aires) Virrey del Pino (Buenos Aires) Caseros (Buenos Aires) San Carlos de Bariloche (Río Negro) Maipú (Mendoza) Zárate (Buenos Aires) Burzaco (Buenos Aires) Pergamino (Buenos Aires) Grand Bourg (Buenos Aires) Monte Chingolo (Buenos Aires) Olavarría (Buenos Aires) Rawson (San Juan) Rafaela (Santa Fe) Junín (Buenos Aires) Remedios de Escalada (Buenos Aires) La Tablada (Buenos Aires) Río Gallegos (Santa Cruz) Campana (Buenos Aires) Presidencia Roque Sáenz Peña (Chaco) Rivadavia (San Juan) Florida (Buenos Aires) Villa Madero (Buenos Aires) Olivos (Buenos Aires) Gualeguaychú (Entre Ríos) Villa Gobernador Gálvez (Santa Fe) Villa Luzuriaga (Buenos Aires) Boulogne Sur Mer (Buenos Aires) Chimbas (San Juan) Ciudadela (Buenos Aires) Luján de Cuyo (Mendoza) Ezpeleta (Buenos Aires) Villa María (Córdoba) General Roca (Río Negro) San Fernando (Buenos Aires) Ciudad Evita (Buenos Aires) Venado Tuerto (Santa Fe) Bella Vista (Buenos Aires) Luján (Buenos Aires) San Ramón de la Nueva Orán (Salta) Cipolletti (Río Negro) Goya (Corrientes) Reconquista (Santa Fe) Wilde (Buenos Aires) Martínez (Buenos Aires) Necochea (Buenos Aires) Don Torcuato (Buenos Aires) Banda del Río Salí (Tucumán) Concepción del Uruguay (Entre Ríos) General Rodríguez (Buenos Aires) Villa Tesei (Buenos Aires) Ciudad Jardín El Libertador (Buenos Aires) Villa Carlos Paz (Córdoba) Sarandí (Buenos Aires) Villa Elvira (Buenos Aires) Villa Domínico (Buenos Aires) Béccar (Buenos Aires) San Francisco (Córdoba) Glew (Buenos Aires) Punta Alta (Buenos Aires) El Palomar (Buenos Aires) Rafael Calzada (Buenos Aires) Tartagal (Salta) San Pedro de Jujuy (Jujuy) Belén de Escobar (Buenos Aires) Mariano Acosta (Buenos Aires) San Francisco Solano (Buenos Aires) Los Polvorines (Buenos Aires) Azul (Buenos Aires) Chivilcoy (Buenos Aires) Lomas del Mirador (Buenos Aires) Río Grande (Tierra del Fuego) Guernica (Buenos Aires) General Pico (La Pampa) Mercedes (Buenos Aires) Bosques (Buenos Aires) Oberá (Misiones) Barranqueras (Chaco) Yerba Buena Villa Centenario (Buenos Aires) San Martín (Mendoza) Gobernador Julio A. Costa (Buenos Aires) William Morris (Buenos Aires) El Jagüel (Buenos Aires) Villa Mariano Moreno (Tucumán) Eldorado (Misiones) Longchamps (Buenos Aires) Clorinda (Formosa) Viedma (Río Negro) Concepcion (Tucumán) Tres Arroyos (Buenos Aires) Ushuaia (Tierra del Fuego) Palpala (Jujuy)

In 2023, the City of Buenos Aires, Argentina, had the public administration as the main employer of the city, with over 458,000 employees. The real state, business and rental services sector employed over 436,000 people in the Argentinian capital the same year. In the fourth quarter of 2023, the city had an unemployment rate of 4.6 percent.

In 2022, the total population of the City of Buenos Aires, Argentina, had a population of about 3.12 million inhabitants. While the commune 13 (Núñez, Belgrano y Colegiales) is the most populated, with over 264,300 inhabitants, the commune 3 (Balvanera y San Cristóbal), has the largest population density, with 30,735 inhabitants per square kilometer.

Pairwise FST values for Ae. aegypti collected in Buenos Aires and in Northeastern and Northwestern Argentina localities.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Argentine township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Argentine township, the median household income for the households where the householder is White increased by $12,166(14.87%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $81,842 in 2011 and $94,008 in 2021.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2011 and 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/argentine-township-mi-median-household-income-by-race-trends.jpeg" alt="Argentine Township, Michigan median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Argentine township.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Argentine township median household income by race. You can refer the same here

In this article, I explore Twitter data to analyze Gender Neutral Language (GNL) in (Greater) Buenos Aires, (Greater) La Plata, and Córdoba. The goal is to characterize the social context behind GNL. Social context analysis of social media data is challenging given that this data type does not contain the social characteristics of its users and the circumstances under which the tweets were written. In order to fill this gap, I will derive the social context information from textual and temporal features by analyzing the names of locations, companies, and people used in the text and relating these entities to the message of the tweet. The analysis of temporal features will give us insights into the correlation between language use and social events. Our results show that the general characterization of the social context behind GNL is associated with socio-economically rich areas in city centers. Users of GNL in the investigated areas address certain groups of people with words that express familiarity and close social relationships, such as those meaning “friends” and “neighbors” and that give them information about a political, cultural, or social event or concerning commercial products/services. The temporal analysis by month supports this characterization by showing that certain political and social events induce a higher frequency of GNL. This paper contributes to previous research on GNL in Argentina by testing existing hypotheses quantitatively. The new discovery presented here is that political activism is not the only language context in which GNL is used in social media and that GNL is not exclusively used in big cities of Argentina but also in smaller cities.

Dataset and full R script used in the data analysis of the paper "Searching for the lost treasure: An urban shelter for overlooked pollinators in one of the most urbanised cities of southern South America".

Summary:

Insect pollinators are essential and their conservation should be a priority for both ecological and agricultural reasons, especially in the remaining green spaces within highly urbanised cities. We studied the diversity of flower visitors associated with a remnant of native vegetation in the city of Cordoba (Argentina), one of the largest cities in South America. We recorded 198 insect species from six orders (Hymenoptera, Diptera, Lepidoptera, Coleoptera, Thysanoptera and Hemiptera) interacting as potential pollinators with the flowers of 94 plant species. We identified the pollinators to the lowest possible taxonomic level and confirmed the identifications through a collaborative project using a non-profit biodiversity social network (iNaturalist 2024). The plant-pollinator interaction network was significantly modular, with 178 of the 198 pollinators playing a peripheral role. We focused our study on these peripheral pollinators, which are often neglected in ecological studies. We conducted a bibliographic search to understand the requirements of these peripheral pollinators, which are often neglected in ecological studies. We categorised their needs to complete their life cycle and persist over time in three broad categories: flowers to feed on, places to reproduce and additional resources.

Abstract

Polluted air is a major health hazard in developing countries. Improvements in pollution monitoring and statistical techniques during the last several decades have steadily enhanced the ability to measure the health effects of air pollution. Current methods can detect significant increases in the incidence of cardiopulmonary and respiratory diseases, coughing, bronchitis, and lung cancer, as well as premature deaths from these diseases resulting from elevated concentrations of ambient Particulate Matter (Holgate 1999).

Scarce public resources have limited the monitoring of atmospheric particulate matter (PM) concentrations in developing countries, despite their large potential health effects. As a result, policymakers in many developing countries remain uncertain about the exposure of their residents to PM air pollution. The Global Model of Ambient Particulates (GMAPS) is an attempt to bridge this information gap through an econometrically estimated model for predicting PM levels in world cities (Pandey et al. forthcoming).

The estimation model is based on the latest available monitored PM pollution data from the World Health Organization, supplemented by data from other reliable sources. The current model can be used to estimate PM levels in urban residential areas and non-residential pollution hotspots. The results of the model are used to project annual average ambient PM concentrations for residential and non-residential areas in 3,226 world cities with populations larger than 100,000, as well as national capitals.

The study finds wide, systematic variations in ambient PM concentrations, both across world cities and over time. PM concentrations have risen at a slower rate than total emissions. Overall emission levels have been rising, especially for poorer countries, at nearly 6 percent per year. PM concentrations have not increased by as much, due to improvements in technology and structural shifts in the world economy. Additionally, within-country variations in PM levels can diverge greatly (by a factor of 5 in some cases), because of the direct and indirect effects of geo-climatic factors.

The primary determinants of PM concentrations are the scale and composition of economic activity, population, the energy mix, the strength of local pollution regulation, and geographic and atmospheric conditions that affect pollutant dispersion in the atmosphere.

Geographic coverage

The database covers the following countries: Afghanistan Albania Algeria Andorra Angola
Antigua and Barbuda Argentina
Armenia Australia
Austria Azerbaijan
Bahamas, The
Bahrain Bangladesh
Barbados
Belarus Belgium Belize
Benin
Bhutan
Bolivia Bosnia and Herzegovina
Brazil
Brunei
Bulgaria
Burkina Faso
Burundi Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Colombia
Comoros Congo, Dem. Rep.
Congo, Rep. Costa Rica
Cote d'Ivoire
Croatia Cuba
Cyprus
Czech Republic
Denmark Dominica
Dominican Republic
Ecuador Egypt, Arab Rep.
El Salvador Eritrea Estonia Ethiopia
Faeroe Islands
Fiji
Finland France
Gabon
Gambia, The Georgia Germany Ghana
Greece
Grenada Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary Iceland India
Indonesia
Iran, Islamic Rep.
Iraq
Ireland Israel
Italy
Jamaica Japan
Jordan
Kazakhstan
Kenya
Korea, Dem. Rep.
Korea, Rep. Kuwait
Kyrgyz Republic Lao PDR Latvia
Lebanon Lesotho Liberia Liechtenstein
Lithuania
Luxembourg
Macao, China
Macedonia, FYR
Madagascar
Malawi
Malaysia
Maldives
Mali
Mauritania
Mexico
Moldova Mongolia
Morocco Mozambique
Myanmar Namibia Nepal
Netherlands Netherlands Antilles
New Caledonia
New Zealand Nicaragua
Niger
Nigeria Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines Poland
Portugal
Puerto Rico Qatar
Romania Russian Federation
Rwanda
Sao Tome and Principe
Saudi Arabia
Senegal Sierra Leone
Singapore
Slovak Republic Slovenia
Solomon Islands Somalia South Africa
Spain
Sri Lanka
St. Kitts and Nevis St. Lucia
St. Vincent and the Grenadines
Sudan
Suriname
Swaziland
Sweden
Switzerland Syrian Arab Republic
Tajikistan
Tanzania
Thailand
Togo
Trinidad and Tobago Tunisia Turkey
Turkmenistan
Uganda
Ukraine United Arab Emirates
United Kingdom
United States
Uruguay Uzbekistan
Vanuatu Venezuela, RB
Vietnam Virgin Islands (U.S.)
Yemen, Rep. Yugoslavia, FR (Serbia/Montenegro)
Zambia
Zimbabwe

Kind of data

Observation data/ratings [obs]

Mode of data collection

Other [oth]

最大城市人口占城市总人口的百分比在12-01-2024达36.918%，相较于12-01-2023的36.789%有所增长。最大城市人口占城市总人口的百分比数据按年更新，12-01-1960至12-01-2024期间平均值为38.673%，共65份观测结果。该数据的历史最高值出现于12-01-1960，达45.060%，而历史最低值则出现于12-01-2019，为36.395%。CEIC提供的最大城市人口占城市总人口的百分比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阿根廷 – Table AR.World Bank.WDI: Population and Urbanization Statistics。

The population of the City of Buenos Aires, Argentina, grew rapidly between 1855 and 1947. Between 1887 and 1895, the city experienced its biggest growth rate per 1,000 inhabitants, with 55,4. It wasn't until 1960 that the city registered a decrease in population, -0.4 per 1,000 inhabitants, compared to 1947. In 2022, the Argentinian capital had a population of over 3.1 million people.