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.

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: 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;

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.

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.

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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)

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

The data for this study were collected in 1963 in five cities in Argentina: Buenos Aires, Mendoza, Cordoba, Rosario, and Resistencia. The sample contained two distinct groups: students at Argentine universities and nonstudent adults. The principal variables examined influences in the respondent's choice of a major field of study, study habits, participation in the university government, social contacts within the university government, social contacts within the universities, and views on the prestige of a university education. In addition, the study explored political attitudes and behavior, perceptions of stratification, occupational status, and attitudes toward group interests. Demographic data include the respondents' age, sex, marital status, religion, and residence during childhood, as well as their fathers' education, occupation, and income.

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.

Here we provide the data set obtained as described in detail in Antico et al. (2018, doi:10.1002/2017WR020897); a brief description is presented below. We imaged and digitized paper format official national data of daily Paraná water level observations taken at Rosario City, Argentina, from January 1875 to July 2017. Quality checks were applied to the digitized official daily levels in order to flag suspicious values. A corrected version of the official level data was obtained by eliminating the errors caused by gauge sinkings that may have occurred from 1875 to 1908. A rating curve was obtained for Rosario and it was used to convert official and corrected levels into official and corrected discharges, respectively. The water level and discharge data provided here constitute the longest (last 143 years) continuous hydrometric records of the Paraná River, one of the ten largest rivers in the world.

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.

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.

Excessive speed is a major risk factor for serious injuries and death. However, speeding remains a pervasive problem around the world. This study aimed to investigate the factors associated with speeding behavior in the city of Buenos Aires, Argentina. A sample of vehicles (n = 34,967) from ten locations in the city was observed in two waves during 2021. Measurements were made at different times and days of the week. Observation sites were free of intersections, traffic lights, speed bumps and cameras, allowing drivers to speed freely. Data on speed, drivers and vehicle types were collected. Factors associated with speeding were identified through logistic regression analyses. 15.3% of vehicles were observed to be speeding. Roads with posted speed limits of 40 km/h showed higher speeding compared to 60 km/h roads. 77% of vehicles traveled above 30 km/h on local roads, and 30% above 50 km/h on avenues. Motorcycles, both commercial and private, showed a higher percentage of speeding compared to all other vehicles. Speeding was lower among women, among adults over 60 years of age, and among those using cell phones. It is crucial to strengthen strategies for increased compliance with speed limits. Actions targeting motorcyclists must be a priority.

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。