17 datasets found
  1. Largest cities in Latin America by population 2025

    • statista.com
    Updated Apr 8, 2025
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    Statista (2025). Largest cities in Latin America by population 2025 [Dataset]. https://www.statista.com/statistics/1374285/largest-metropolitan-areas-in-latam/
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    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Latin America, Americas, LAC
    Description

    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.

  2. P

    Population projections

    • pacificdata.org
    • pacific-data.sprep.org
    • +1more
    csv
    Updated Apr 2, 2025
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    SPC (2025). Population projections [Dataset]. https://pacificdata.org/data/dataset/population-projections-df-pop-proj
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    csvAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    SPC
    Time period covered
    Jan 1, 1950 - Dec 31, 2050
    Description

    Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

    Find more Pacific data on PDH.stat.

  3. Mexico City: population 1990-2020

    • statista.com
    Updated Jul 11, 2024
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    Statista (2024). Mexico City: population 1990-2020 [Dataset]. https://www.statista.com/statistics/1038080/mexico-city-total-population/
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    Dataset updated
    Jul 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    In 2020, population of Mexico City reached 9.2 million, accounting for around seven percent of the total Mexican population. Over the timespan of 30 years, the number of inhabitants in the country's capital grew approximately by 974,000 persons.

  4. P

    Data from: Population densities

    • pacificdata.org
    • pacific-data.sprep.org
    • +1more
    csv
    Updated Dec 19, 2023
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    SPC (2023). Population densities [Dataset]. https://pacificdata.org/data/dataset/population-densities-df-pop-density
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    csvAvailable download formats
    Dataset updated
    Dec 19, 2023
    Dataset provided by
    SPC
    Time period covered
    Jan 1, 1950 - Dec 31, 2050
    Description

    Population densities for Pacific Island Countries and Territories based on mid-year population projections and available informaiton about land area.

    Find more Pacific data on PDH.stat.

  5. M

    Mexico Number of Immigrants: Ciudad de Mexico

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico Number of Immigrants: Ciudad de Mexico [Dataset]. https://www.ceicdata.com/en/mexico/number-of-immigrants/number-of-immigrants-ciudad-de-mexico
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1975 - Dec 1, 2015
    Area covered
    Mexico
    Description

    Number of Immigrants: Ciudad de Mexico data was reported at 47.305 Person th in 2015. This records a decrease from the previous number of 50.735 Person th for 2010. Number of Immigrants: Ciudad de Mexico data is updated yearly, averaging 42.714 Person th from Dec 1975 (Median) to 2015, with 9 observations. The data reached an all-time high of 51.408 Person th in 1980 and a record low of 28.303 Person th in 1975. Number of Immigrants: Ciudad de Mexico data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G008: Number of Immigrants.

  6. Mexico Number of Emigrants: Ciudad de Mexico

    • ceicdata.com
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    CEICdata.com, Mexico Number of Emigrants: Ciudad de Mexico [Dataset]. https://www.ceicdata.com/en/mexico/number-of-emigrants/number-of-emigrants-ciudad-de-mexico
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1975 - Dec 1, 2015
    Area covered
    Mexico
    Description

    Number of Emigrants: Ciudad de Mexico data was reported at 53.883 Person th in 2015. This records a decrease from the previous number of 83.006 Person th for 2010. Number of Emigrants: Ciudad de Mexico data is updated yearly, averaging 53.883 Person th from Dec 1975 (Median) to 2015, with 9 observations. The data reached an all-time high of 151.896 Person th in 2000 and a record low of 24.689 Person th in 1975. Number of Emigrants: Ciudad de Mexico data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G007: Number of Emigrants.

  7. Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF)

    • ceicdata.com
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    CEICdata.com, Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-working-age-population-labour-force-unemployed-by-sex/working-age-population-labour-force-unemployed-distrito-fed-df
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Mar 1, 2020
    Area covered
    Brazil
    Variables measured
    Unemployment
    Description

    Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) data was reported at 226.000 Person th in Mar 2020. This records an increase from the previous number of 208.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) data is updated quarterly, averaging 166.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 233.000 Person th in Mar 2019 and a record low of 119.000 Person th in Jun 2012. Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

  8. B

    Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF)

    • ceicdata.com
    Updated Mar 1, 2018
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    CEICdata.com (2018). Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-working-age-population-labour-force-employed-by-sex/working-age-population-labour-force-employed-distrito-fed-df
    Explore at:
    Dataset updated
    Mar 1, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Mar 1, 2020
    Area covered
    Brazil
    Variables measured
    Labour Force
    Description

    Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) data was reported at 1,428.000 Person th in Mar 2020. This records a decrease from the previous number of 1,451.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) data is updated quarterly, averaging 1,370.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 1,456.000 Person th in Sep 2019 and a record low of 1,288.000 Person th in Jun 2012. Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex.

  9. f

    Demographic data of dengue patients with DF and DHF.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Lin Wang; Rong-Fu Chen; Jien-Wei Liu; Ing-Kit Lee; Chiu-Ping Lee; Ho-Chang Kuo; Shau-Ku Huang; Kuender D. Yang (2023). Demographic data of dengue patients with DF and DHF. [Dataset]. http://doi.org/10.1371/journal.pntd.0000934.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Lin Wang; Rong-Fu Chen; Jien-Wei Liu; Ing-Kit Lee; Chiu-Ping Lee; Ho-Chang Kuo; Shau-Ku Huang; Kuender D. Yang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *Values are the mean ± SEM or number (%). P values were determined by application of Student's t-test for continuous variables and by X2 test or Fisher exact test for categorical variables.#Defined as a 20% increase in hematocrit between the highest and lowest levels.

  10. B

    Brazil Working Age Population: Labour Force: Employed: DF: Male

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Working Age Population: Labour Force: Employed: DF: Male [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-working-age-population-labour-force-employed-by-sex/working-age-population-labour-force-employed-df-male
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Mar 1, 2020
    Area covered
    Brazil
    Variables measured
    Employment
    Description

    Brazil Working Age Population: Labour Force: Employed: DF: Male data was reported at 774.000 Person th in Mar 2020. This records an increase from the previous number of 759.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Employed: DF: Male data is updated quarterly, averaging 731.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 774.000 Person th in Mar 2020 and a record low of 684.000 Person th in Sep 2012. Brazil Working Age Population: Labour Force: Employed: DF: Male data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex.

  11. WORLD DATA by country (2020)

    • kaggle.com
    Updated Sep 19, 2020
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    Daniboy370 (2020). WORLD DATA by country (2020) [Dataset]. https://www.kaggle.com/datasets/daniboy370/world-data-by-country-2020/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 19, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Daniboy370
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Area covered
    World
    Description

    Context

    The kernel aims to extract data from Wikipedia's list of countries by category, and visualize it. The database itself, contains a HUGE amount of analyzed data at different categories, waiting anxiously for someone to present them elegantly ( 😏 ), and compare the trends between the different countries.

                   <img src="https://github.com/Daniboy370/Machine-Learning/blob/master/Misc/Animation/VID-out-Wiki.gif?raw=true" width="550">
    

    Content

    The list contains 143 analyses of countries with respect to a specific criterion. Practically, I will refer to several criteria that I found interesting, however the reader is free to add as much as he pleases :

    CriterionFile
    GDP per capitadf_{GDP}
    Population growthdf_{Pop-Growth}
    Life expectancydf_{Life-exp}
    Median agedf_{Med-age}
    Meat consumptiondf_{Meat-cons}
    Sex-ratiodf_{GDP}
    Suicide ratedf_{Suicide}
    Urbanizationdf_{Urban}
    Fertility ratedf_{Fertile}

    The well processed data should be able to provide such a visualization ( for example ) :

                          <img src="https://github.com/Daniboy370/Uploads/blob/master/Kaggle-Dataset-Wiki.gif?raw=true" width="600">
    

    Pipeline

    Choose criterion >> Extract data >> Examine & Clean >> Convert to dataframe >> Visualize :

                          <img src="https://github.com/Daniboy370/Uploads/blob/master/VID-Globe.gif?raw=true" width="400">
    

    \[ \text{Enjoy !}\]

  12. f

    Demographic, clinical, and laboratorial characteristics of patients with...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 16, 2014
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    Ramos, Grazielle Viana; Brum, Ana Livia Garcia; Póvoa, Tiago Fajardo; Marchiori, Edson; Basilio-de-Oliveira, Carlos Alberto; Borghi, Danielle Provençano; Paes, Marciano Viana; Bozza, Fernando Augusto; Rodrigues, Rosana Souza (2014). Demographic, clinical, and laboratorial characteristics of patients with dengue fever (DF), warning signs, and severe dengue (SD). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001250018
    Explore at:
    Dataset updated
    May 16, 2014
    Authors
    Ramos, Grazielle Viana; Brum, Ana Livia Garcia; Póvoa, Tiago Fajardo; Marchiori, Edson; Basilio-de-Oliveira, Carlos Alberto; Borghi, Danielle Provençano; Paes, Marciano Viana; Bozza, Fernando Augusto; Rodrigues, Rosana Souza
    Description

    DF: dengue fever; W/SD: warning signs or severe dengue; ALT: alanine aminotransferase; AST: aspartate aminotransferase.

  13. B

    Brazil Working Age Population: Labour Force: Employed: DF: Female

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Working Age Population: Labour Force: Employed: DF: Female [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-working-age-population-labour-force-employed-by-sex/working-age-population-labour-force-employed-df-female
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Mar 1, 2020
    Area covered
    Brazil
    Variables measured
    Employment
    Description

    Brazil Working Age Population: Labour Force: Employed: DF: Female data was reported at 654.000 Person th in Mar 2020. This records a decrease from the previous number of 691.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Employed: DF: Female data is updated quarterly, averaging 635.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 695.000 Person th in Jun 2019 and a record low of 597.000 Person th in Mar 2012. Brazil Working Age Population: Labour Force: Employed: DF: Female data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex.

  14. Brazil Working Age Population: Labour Force: Unemployed: DF: Male

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Brazil Working Age Population: Labour Force: Unemployed: DF: Male [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-working-age-population-labour-force-unemployed-by-sex/working-age-population-labour-force-unemployed-df-male
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Mar 1, 2020
    Area covered
    Brazil
    Variables measured
    Unemployment
    Description

    Brazil Working Age Population: Labour Force: Unemployed: DF: Male data was reported at 91.000 Person th in Mar 2020. This records a decrease from the previous number of 92.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: DF: Male data is updated quarterly, averaging 71.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 103.000 Person th in Mar 2019 and a record low of 47.000 Person th in Jun 2012. Brazil Working Age Population: Labour Force: Unemployed: DF: Male data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

  15. B

    Brazil Working Age Population: Labour Force: Unemployed: DF: Female

    • ceicdata.com
    Updated May 15, 2023
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    CEICdata.com (2023). Brazil Working Age Population: Labour Force: Unemployed: DF: Female [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-working-age-population-labour-force-unemployed-by-sex/working-age-population-labour-force-unemployed-df-female
    Explore at:
    Dataset updated
    May 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Mar 1, 2020
    Area covered
    Brazil
    Variables measured
    Unemployment
    Description

    Brazil Working Age Population: Labour Force: Unemployed: DF: Female data was reported at 134.000 Person th in Mar 2020. This records an increase from the previous number of 116.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: DF: Female data is updated quarterly, averaging 93.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 134.000 Person th in Mar 2020 and a record low of 70.000 Person th in Sep 2012. Brazil Working Age Population: Labour Force: Unemployed: DF: Female data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

  16. f

    Socio-Demographic profile of the 403 respondents.

    • plos.figshare.com
    xls
    Updated Feb 1, 2024
    + more versions
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    Maryam N. Chaudhary; Voon-Ching Lim; Erwin Martinez Faller; Pramod Regmi; Nirmal Aryal; Siti Nursheena Mohd Zain; Adzzie Shazleen Azman; Norhidayu Sahimin (2024). Socio-Demographic profile of the 403 respondents. [Dataset]. http://doi.org/10.1371/journal.pone.0297527.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 1, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Maryam N. Chaudhary; Voon-Ching Lim; Erwin Martinez Faller; Pramod Regmi; Nirmal Aryal; Siti Nursheena Mohd Zain; Adzzie Shazleen Azman; Norhidayu Sahimin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundGlobally, 390 million dengue virus infections occur per year. In Malaysia, migrant workers are particularly vulnerable to dengue fever (DF) due to mosquito breeding sites exposure and poor health literacy. Therefore, this study aimed to (i) assess the current DF knowledge, attitudes and practices (KAP), and (ii) identify strategies to promote DF awareness, among migrant workers in Klang Valley.MethodA survey was conducted with 403 Nepali, Filipino and Indonesian migrant workers through phone interviews and online self-administered questionnaires. Piecewise structural equation modelling was applied to identify predictor variables for DF KAP.ResultsMost respondents were male, working in the services industry, had completed high school, aged between 30–39 years and with less than ten years work experience in Malaysia. Overall, respondents’ knowledge was positively correlated with attitude but negatively with practices. Older respondents, who had completed higher education, obtained higher knowledge scores. Similarly, those with working experience of >20 years in Malaysia obtained higher attitude scores. Respondents with a previous history of DF strongly considered the removal of mosquito breeding sites as their own responsibility, hence tended to frequently practise DF preventive measures. Respondents’ knowledge was also positively correlated to their understanding of DF information sourced from social media platforms.ConclusionThese findings highlighted: (i) the need for targeted DF educational intervention among younger and newly arrived workers with lower levels of education and (ii) maximising the usage of social media platforms to improve DF public awareness.

  17. Average house price in Mexico, by state 2025

    • statista.com
    Updated Aug 28, 2025
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    Statista (2025). Average house price in Mexico, by state 2025 [Dataset]. https://www.statista.com/statistics/1056997/average-housing-prices-mexico-state/
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    Dataset updated
    Aug 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    Mexico's housing market demonstrates significant regional price variations, with Mexico City emerging as the most expensive area for residential property in the second quarter of 2025. The capital city's average house price of 3.87 million Mexican pesos far exceeds the national average of 1.86 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 second quarter of 2025, the nominal house price index reached 247 points, representing a 147 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.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Largest cities in Latin America by population 2025 [Dataset]. https://www.statista.com/statistics/1374285/largest-metropolitan-areas-in-latam/
Organization logo

Largest cities in Latin America by population 2025

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2025
Area covered
Latin America, Americas, LAC
Description

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.

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