100+ datasets found
  1. COVID-19 cases and deaths in Mexico 2025

    • statista.com
    Updated May 12, 2025
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    Statista (2025). COVID-19 cases and deaths in Mexico 2025 [Dataset]. https://www.statista.com/statistics/1107063/mexico-covid-19-cases-deaths/
    Explore at:
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Mexico
    Description

    The first case of COVID-19 in Mexico was detected on March 1, 2020. By the end of the year, the total number of confirmed infections had surpassed 1.4 million. Meanwhile, the number of deaths related to the disease was nearing 148,000. On May 11, 2025, the number of cases recorded had reached 7.6 million, while the number of deaths amounted to around 335,000. The relevance of the Omicron variant Omicron, a highly contagious COVID-19 variant, was declared of concern by the World Health Organization (WHO) at the end of November 2021. As the pandemic unfolded, it became the variant with the highest share of COVID-19 cases in the world. In Latin America, countries such as Colombia, Argentina, Brazil, and Mexico were strongly affected. In fact, by 2023 nearly all analyzed sequences within these countries corresponded to an Omicron subvariant. Beyond a health crisis As the COVID-19 pandemic progressed worldwide, the respiratory disease caused by the virus SARS-CoV-2 virus first detected in Wuhan brought considerable economic consequences for countries and households. While Mexico’s gross domestic product (GDP) in current prices declined in 2020 compared to the previous year, a survey conducted among adults during the first months of 2021 showed COVID-19 impacted families mainly through finances and employment, with around one third of households in Mexico reporting an income reduction and the same proportion having at least one household member suffering from the disease.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  2. Covid-19 Data from mexico

    • kaggle.com
    zip
    Updated May 3, 2022
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    TavoGLC (2022). Covid-19 Data from mexico [Dataset]. https://www.kaggle.com/datasets/tavoglc/covid19-data-from-mexico
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    zip(143801999 bytes)Available download formats
    Dataset updated
    May 3, 2022
    Authors
    TavoGLC
    Description

    About

    Contains the positive cases information up to may 2022 from Mexico. Image by the author.

    "Información referente a casos COVID-19 en México " publicado por SALUD del gobierno de Mexico https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico 01/05/2022

  3. T

    Mexico Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/mexico/coronavirus-deaths
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 2, 2020 - May 17, 2023
    Area covered
    Mexico
    Description

    Mexico recorded 334013 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Mexico reported 7603871 Coronavirus Cases. This dataset includes a chart with historical data for Mexico Coronavirus Deaths.

  4. COVID-19 cases in Mexico 2023, by state

    • statista.com
    Updated Sep 15, 2023
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    Statista (2023). COVID-19 cases in Mexico 2023, by state [Dataset]. https://www.statista.com/statistics/1109180/mexico-coronavirus-cases-state/
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    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of August 2, 2023, Mexico was the third Latin American country with the highest number of confirmed cases of COVID-19, reaching over 7.6 million patients. By federate entity, Mexico City ranked first in number of confirmed cases, with around 1.9 million infections recorded by September 21, 2023. The State of Mexico followed with 760,699 reported cases of the disease.

    The leading cause of death in Mexico in 2020
    In 2020, COVID-19 was the leading cause of death in Mexico. The country reported its first fatal case due to the disease in March 2020. Since then, the number of COVID-19 deaths has increased steadily, reaching 334,336 deaths as of August 2, 2023. These figures place Mexico fifth in the total number of deaths related to COVID worldwide and second in Latin America, just after Brazil.

    Mexico’s vaccination strategy Mexico began its vaccination campaign at the end of December 2020, an immunization strategy that prioritized healthcare workers and those most at risk of developing severe COVID-19, such as the older population. With more than 223 million vaccines administered as of August 14, 2023, Mexico ranked as the Latin American country with the second highest number of applied vaccines, while slightly over three quarters of its population received at least one vaccine dose against the disease by March 2023.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. Latest Coronavirus COVID-19 figures for Mexico

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Mexico [Dataset]. https://covid19-today.pages.dev/countries/mexico/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Mexico
    Description

    In past 24 hours, Mexico, North America had N/A new cases, N/A deaths and N/A recoveries.

  6. covid-mexico

    • kaggle.com
    zip
    Updated Apr 3, 2020
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    Adan Galvan (2020). covid-mexico [Dataset]. https://www.kaggle.com/datasets/adangalvan/covidmexico/versions/6
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    zip(378114 bytes)Available download formats
    Dataset updated
    Apr 3, 2020
    Authors
    Adan Galvan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Context

    Currently the Dirección General de Epidemiología publishes a daily report of people who might be positive case of COVID-19, unfortunately the format is in pdf

    I wanted to make this information easy to consume for data analysis and visualization.

    Content

    This data set is the daily report about people who might be a positive case of COVID-19, the same data from Coronavirus (COVID-19) -Comunicado Técnico Diario but in .csv format

    https://www.gob.mx/salud/documentos/nuevo-coronavirus-2019-ncov-comunicado-tecnico-diario

    Acknowledgements

    Many thanks to Dirección General de Epidemiología for publishing the daily reports

  7. COVID-19 clinical studies in Mexico 2025, by status

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). COVID-19 clinical studies in Mexico 2025, by status [Dataset]. https://www.statista.com/statistics/1203587/mexico-covid-19-clinical-trials-status/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 13, 2025
    Area covered
    Mexico
    Description

    As of February 2025, a total of *** clinical studies on COVID-19 had been completed in Mexico. Meanwhile, another ** COVID-19 clinical trials were recruiting participants. As of June 3, 2022, there were over ***** drugs and vaccines in development targeting the coronavirus disease (COVID-19) worldwide.

  8. COVID-19 Mexico Clean & Order by States

    • kaggle.com
    zip
    Updated Sep 18, 2020
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    Andres J Ramos (2020). COVID-19 Mexico Clean & Order by States [Dataset]. https://www.kaggle.com/andresjramos/covid19-mexico-clean-order-by-states
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    zip(410916 bytes)Available download formats
    Dataset updated
    Sep 18, 2020
    Authors
    Andres J Ramos
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Context

    The data obtained from the Mexico's General Direction of Epidemiology contains multiple information on the current pandemic situation. However, these data are saturated with features that may not be very useful in a predictive analysis.

    Due to this I decided to clean and format the original data and generate a dataset that groups confirmed, dead, recovered and active cases by State, Municipality and Date.

    This is very useful if you want to generate geographically specific models

    Content

    The data set contains the covid cases columns (positive, dead, recovered and active) that are counted by state and municipality.

    I.e

    SateMunicipalityDateDeathsConfirmedrecoveredActive
    Ciudad de MexicoIztapalapa2020-07-18142041
    Ciudad de MexicoIztapalapa2020-07-19014014
    Ciudad de MexicoIztapalapa2020-07-20041041

    Would you like to see the data cleaning notebook? You can check it in my Github

    Classification criteria

    • Recovered cases: If the patient is not dead and it has been more than 15 days then he is considered as recovered.
    • Active cases: If the patien isn't recovered an isn't dead then is active

    Time lapse

    The first documented case is on 2020-01-13. The dataset will be updated every day adding new cases

    Acknowledgements

    For this project, the data are obtained from the official URL of the government of México whose author is “Dirección General de Epidemiología”:

    Corona Virus Data: https://www.gob.mx/salud/documentos/datos-abiertos-152127

    Data Dictionary: https://www.gob.mx/salud/documentos/datos-abiertos-152127

    Differences in results

    According to the official results obtained from: https://coronavirus.gob.mx/datos/

    • The main difference between the official data and this dataset is in the recovered cases. This is because the Mexican government only considers outpatient cases when counting recovered cases. This dataset considers outpatient and inpatient cases when counting recovered people.

    • The second difference is some rows that contained nonsense information(I think this was a data collection error by the institution), these were eliminated.

  9. Mexico COVID-19 clinical data

    • kaggle.com
    zip
    Updated Jun 5, 2020
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    Mariana R Franklin (2020). Mexico COVID-19 clinical data [Dataset]. https://www.kaggle.com/datasets/marianarfranklin/mexico-covid19-clinical-data/code
    Explore at:
    zip(6399963 bytes)Available download formats
    Dataset updated
    Jun 5, 2020
    Authors
    Mariana R Franklin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Mexico COVID-19 clinical data 🦠🇲🇽

    This dataset contains the results of real-time PCR testing for COVID-19 in Mexico as reported by the [General Directorate of Epidemiology](https://www.gob.mx/salud/documentos/datos-abiertos-152127).

    The official, raw dataset is available in the Official Secretary of Epidemiology website: https://www.gob.mx/salud/documentos/datos-abiertos-152127.

    You might also want to download the official column descriptors and the variable definitions - e.g. SEXO=1 -> Female; SEXO=2 -> Male; SEXO=99 -> Undisclosed) - in the following [zip file](http://datosabiertos.salud.gob.mx/gobmx/salud/datos_abiertos/diccionario_datos_covid19.zip). I've maintained the original levels as described in the official dataset, unless otherwise specified.

    IMPORTANT: This dataset has been maintained since the original data releases, which weren't tabular, but rather consisted of PDF files, often with many/different inconsistencies which had to be resolved carefully and is annotated in the .R script. More later datasets should be more reliable, but earlier there were a lot of things to figure out like e.g. when the official methodology to assign the region of the case was changed to be based on residence rather than origin). I've added more notes on very early data here: https://github.com/marianarf/covid19_mexico_data.

    [More official information here](https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico/resource/e8c7079c-dc2a-4b6e-8035-08042ed37165).

    Motivation

    I hope that this data serves to as a base to understand the clinical symptoms 🔬that characterize a COVID-19 positive case from another viral respiratory disease and help expand the knowledge about COVID-19 worldwide.

    👩‍🔬🧑‍🔬🧪

    With more models tested, added features and fine-tuning, clinical data could be used to predict a patient with pending COVID-19 results will get a positive or a negative result in two scenarios:

    • As lab results are processed, this leaves a window when it's uncertain whether a result will return positive or negative (this is merely didactic, as new reports will corroborate the prediction as soon as the laboratory data for missing cases is reported).
    • More importantly, it could help predict for similar symptoms e.g. from a survey or an app that checks for similar data (ideally, containing most of the parameters that can be assessed without using variables only available after hospitalization, like e.g. age of the person which is readily available).

    The value of the lab result comes from a RT-PCR, and is stored in RESULTADO, where the original data is encoded 1 = POSITIVE and 2 = NEGATIVE.

    Source

    The data was gathered using a "sentinel model" that samples 10% of the patients that present a viral respiratory diagnosis to test for COVID-19, and consists of data reported by 475 viral respiratory disease monitoring units (hospitals) named USMER (Unidades Monitoras de Enfermedad Respiratoria Viral) throughout the country in the entire health sector (IMSS, ISSSTE, SEDENA, SEMAR, and others).

    Preprocess

    Data is first processed with this [this .R script](https://github.com/marianarf/covid19_mexico_analysis/blob/master/notebooks/preprocess.R). The file containing the processed data will be updated daily until. Important: Since the data is updated to Github, assume the data uploaded here isn't the latest version, and instead, load data directly from the 'csv' [in this github repository](https://raw.githubusercontent.com/marianarf/covid19_mexico_analysis/master/mexico_covid19.csv).

    • The data aggregates official daily reports of patients admitted in COVID-19 designated units.
    • New cases are usually concatenated at the end of the file, but each individual case also contains a unique (official) identifier 'ID_REGISTRO' as well as a (new) unique reference 'id' to remove duplicates.
    • I fixed a specific change in methodology in reporting, where the patient record used to be assigned in ENTIDAD_UM (the region of the medical unit) but now uses ENTIDAD_RES (the region of residence of the patient).
    Note: I have preserved the original structure (column names and factors) as closely as possible to the official data, so that code is reproducible in cross-reference to the official sources. ### Added features

    In addition to original features reported, I've included missing regional names and also a field 'DELAY' which corresponds to the lag in the processing lab results (since new data contains records from the previous day, this allows to keep track of this lag).

    Additional info

    ...

  10. T

    Mexico Coronavirus COVID-19 Vaccination Total

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Vaccination Total [Dataset]. https://tradingeconomics.com/mexico/coronavirus-vaccination-total
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 24, 2020 - Mar 3, 2023
    Area covered
    Mexico
    Description

    The number of COVID-19 vaccination doses administered in Mexico rose to 223158993 as of Oct 27 2023. This dataset includes a chart with historical data for Mexico Coronavirus Vaccination Total.

  11. f

    datasheet1_Epidemiological Characteristics of COVID-19 in Mexico and the...

    • datasetcatalog.nlm.nih.gov
    Updated Dec 21, 2020
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    Ricardo, Cristy Leonor Azanza; Hernandez-Vargas, Esteban A. (2020). datasheet1_Epidemiological Characteristics of COVID-19 in Mexico and the Potential Impact of Lifting Confinement Across Regions.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000554254
    Explore at:
    Dataset updated
    Dec 21, 2020
    Authors
    Ricardo, Cristy Leonor Azanza; Hernandez-Vargas, Esteban A.
    Area covered
    Mexico
    Description

    The novel coronavirus SARS-CoV-2 has paralyzed our societies, leading to self-isolation and quarantine for several days. As the 10th most populated country in the world, Mexico is on a major threat by COVID-19 due to the limitations of intensive care capacities, about 1.5 hospital beds for every 1,000 citizens. In this paper, we characterize the COVID-19 pandemic in Mexico and projected different scenarios to evaluate sharp or gradual quarantine lifting strategies. Mexican government relaxed strict social distancing regulations on June 1, 2020, deriving to pandemic data with large fluctuations and uncertainties of the tendency of the pandemic in Mexico. Our results suggest that lifting social confinement must be gradually sparse while maintaining a decentralized region strategy among the Mexican states. To substantially lower the number of infections, simulations highlight that a fraction of the population that represents the elderly should remain in social confinement (approximately 11.3% of the population); a fraction of the population that represents the confined working class (roughly 27% of the population) must gradually return in at least four parts in consecutive months; and to the last a fraction of the population that assumes the return of students to schools (about 21.7%). As the epidemic progresses, deconfinement strategies need to be continuously re-adjusting with the new pandemic data. All mathematical models, including ours, are only a possibility of many of the future, however, the different scenarios that were developed here highlight that a gradual decentralized region deconfinement with a significant increase in healthcare capacities is paramount to avoid a high death toll in Mexico.

  12. Mexico: number of people in the social circle who have died from COVID-19

    • statista.com
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    Statista, Mexico: number of people in the social circle who have died from COVID-19 [Dataset]. https://www.statista.com/statistics/1173671/number-people-in-the-social-circle-who-have-died-coronavirus-mexico/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 9, 2020 - Jul 14, 2020
    Area covered
    Mexico
    Description

    According to a survey carried out in July 2020, ** percent of respondents in Mexico none of their family members, friends, neighbors or co-workers had died from COVID-19, while ** percent stated knowing one or two people who had died as a result of complications from this coronavirus.

  13. M

    Mexico Total Covid deaths per million, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
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    Globalen LLC (2023). Mexico Total Covid deaths per million, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Mexico/covid_deaths_per_million/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Mar 31, 2020 - Mar 31, 2023
    Area covered
    Mexico
    Description

    Total Covid deaths per million in Mexico, March, 2023 The most recent value is 2616 total Covid deaths as of March 2023, an increase compared to the previous value of 2613 total Covid deaths. Historically, the average for Mexico from March 2020 to March 2023 is 1833 total Covid deaths. The minimum of 0 total Covid deaths was recorded in March 2020, while the maximum of 2616 total Covid deaths was reached in March 2023. | TheGlobalEconomy.com

  14. Socioeconomic Impact of COVID-19, 2021 - Mexico

    • microdata.unhcr.org
    • datacatalog.ihsn.org
    • +2more
    Updated Mar 22, 2022
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    UNHCR (2022). Socioeconomic Impact of COVID-19, 2021 - Mexico [Dataset]. https://microdata.unhcr.org/index.php/catalog/643
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    Dataset updated
    Mar 22, 2022
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Time period covered
    2021
    Area covered
    Mexico
    Description

    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

  15. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco

    • ceicdata.com
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    CEICdata.com, Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-jalisco
    Explore at:
    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
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data was reported at 277,335.000 Person in 17 Aug 2022. This records an increase from the previous number of 276,948.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data is updated daily, averaging 86,289.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 277,335.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 13 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  16. y

    Mexico Coronavirus Deaths Per Day

    • ycharts.com
    html
    Updated Nov 10, 2025
    + more versions
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    Johns Hopkins Center for Systems Science and Engineering (2025). Mexico Coronavirus Deaths Per Day [Dataset]. https://ycharts.com/indicators/mexico_coronavirus_deaths_per_day
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    htmlAvailable download formats
    Dataset updated
    Nov 10, 2025
    Dataset provided by
    YCharts
    Authors
    Johns Hopkins Center for Systems Science and Engineering
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 23, 2020 - Mar 9, 2023
    Area covered
    Mexico
    Variables measured
    Mexico Coronavirus Deaths Per Day
    Description

    View daily updates and historical trends for Mexico Coronavirus Deaths Per Day. Source: Johns Hopkins Center for Systems Science and Engineering. Track ec…

  17. COVID-19 Mexico

    • kaggle.com
    zip
    Updated Apr 19, 2020
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    Carlos Lira (2020). COVID-19 Mexico [Dataset]. https://www.kaggle.com/carloslira/covid19-mexico
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    zip(52739 bytes)Available download formats
    Dataset updated
    Apr 19, 2020
    Authors
    Carlos Lira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Content

    COVID-19 data for Mexico, consist of two main datasets: time_series_confirmed_MX: time series of confirmed cases by state. time_series_deaths_MX: time series of deaths by state The data will be updated every day at the start of Secretaría de Salud conference (18:00), with last information recived at 13:00.
    If you want the data in github form: https://github.com/carloscerlira/COVIDMX.

    Source

    https://www.gob.mx/salud/archivo/documentos?idiom=es&filter_id=395&filter_origin=archive

  18. T

    Mexico Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/mexico/coronavirus-recovered
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 2020 - Dec 15, 2021
    Area covered
    Mexico
    Description

    Mexico recorded 1997381 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Mexico reported 296983 Coronavirus Deaths. This dataset includes a chart with historical data for Mexico Coronavirus Recovered.

  19. People Hospitalized By Day COVID-19 CDMX

    • kaggle.com
    zip
    Updated May 12, 2020
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    MarioRuizGonzalez (2020). People Hospitalized By Day COVID-19 CDMX [Dataset]. https://www.kaggle.com/marioruizgonzalez/people-hospitalized-by-day-covid19-cdmx
    Explore at:
    zip(1179 bytes)Available download formats
    Dataset updated
    May 12, 2020
    Authors
    MarioRuizGonzalez
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico City
    Description

    This data set contains the daily total of people hospitalized, confirmed or suspected, by COVID-19 in the hospitals and medical centers of the Metropolitan Area of the Valley of Mexico (ZMVM).

    It contains the daily data reported to the daily hospital capacity and occupation system designed to receive in a timely and daily way the data of people hospitalized in the medical centers of the Metropolitan Area of the Valley of Mexico. The information is reported by each hospital on suspected and confirmed individuals by COVID19. It is important to note that this information does not replace or invalidate that published by the Government of Mexico, but represents a source of complementary information with a lower level of detail.

    Version 1.0 Update frequency daily Themes Health, Covid-19 Keywords covid-19, covid19, Health, public health, hospitals, metropolitan area, coronavirus, CDMX, edomex, zmvm License CC BY Language Spanish Modified May 11, 2020 9:14 AM Publisher Health Secretary

  20. M

    Mexico New Covid deaths per million people, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    + more versions
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    Globalen LLC, Mexico New Covid deaths per million people, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Mexico/covid_new_deaths_per_million/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    Mexico
    Description

    New Covid deaths per million people in Mexico, March, 2023 The most recent value is 3 new Covid deaths per million people as of March 2023, a decline compared to the previous value of 4 new Covid deaths per million people. Historically, the average for Mexico from February 2020 to March 2023 is 69 new Covid deaths per million people. The minimum of 0 new Covid deaths per million people was recorded in February 2020, while the maximum of 302 new Covid deaths per million people was reached in January 2021. | TheGlobalEconomy.com

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Statista (2025). COVID-19 cases and deaths in Mexico 2025 [Dataset]. https://www.statista.com/statistics/1107063/mexico-covid-19-cases-deaths/
Organization logo

COVID-19 cases and deaths in Mexico 2025

Explore at:
Dataset updated
May 12, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 1, 2020 - May 11, 2025
Area covered
Mexico
Description

The first case of COVID-19 in Mexico was detected on March 1, 2020. By the end of the year, the total number of confirmed infections had surpassed 1.4 million. Meanwhile, the number of deaths related to the disease was nearing 148,000. On May 11, 2025, the number of cases recorded had reached 7.6 million, while the number of deaths amounted to around 335,000. The relevance of the Omicron variant Omicron, a highly contagious COVID-19 variant, was declared of concern by the World Health Organization (WHO) at the end of November 2021. As the pandemic unfolded, it became the variant with the highest share of COVID-19 cases in the world. In Latin America, countries such as Colombia, Argentina, Brazil, and Mexico were strongly affected. In fact, by 2023 nearly all analyzed sequences within these countries corresponded to an Omicron subvariant. Beyond a health crisis As the COVID-19 pandemic progressed worldwide, the respiratory disease caused by the virus SARS-CoV-2 virus first detected in Wuhan brought considerable economic consequences for countries and households. While Mexico’s gross domestic product (GDP) in current prices declined in 2020 compared to the previous year, a survey conducted among adults during the first months of 2021 showed COVID-19 impacted families mainly through finances and employment, with around one third of households in Mexico reporting an income reduction and the same proportion having at least one household member suffering from the disease.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

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