100+ datasets found
  1. T

    Mexico Coronavirus COVID-19 Cases

    • tradingeconomics.com
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/mexico/coronavirus-cases
    Explore at:
    xml, csv, json, 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
    Feb 18, 2020 - May 17, 2023
    Area covered
    Mexico
    Description

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

  2. y

    Mexico Coronavirus Cases Per Day

    • ycharts.com
    html
    Updated Nov 29, 2025
    + more versions
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    Johns Hopkins Center for Systems Science and Engineering (2025). Mexico Coronavirus Cases Per Day [Dataset]. https://ycharts.com/indicators/mexico_coronavirus_cases_per_day
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 29, 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 Cases Per Day
    Description

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

  3. 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
    Explore at:
    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

  4. COVID-19 MX

    • kaggle.com
    zip
    Updated Jul 24, 2020
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    Eduardo Rojas (2020). COVID-19 MX [Dataset]. https://www.kaggle.com/lalish99/covid19-mx
    Explore at:
    zip(13811181 bytes)Available download formats
    Dataset updated
    Jul 24, 2020
    Authors
    Eduardo Rojas
    License

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

    Description

    For the historic files from 12 April 2020 check my repo: Covid-19 Mexico public information

    Context

    Official posted data from the Mexican Health Department.

    Content

    Confirmed cases -> casos_confirmados

    Suspicious cases -> casos_sospechosos

    Complete information -> covid-19_general_MX

    Acknowledgements

    Secretaría de Salud - Mexican Gobernment: covid-19_general latest published information

    historic covid-19_general

    Independent suspicious and confirmed cases files stopped being distributed by the government on April 18th 2020 I'll add them again in case they publish them.

  5. 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
    Explore at:
    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.

  6. 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.

  7. 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

    ...

  8. Mexico: change in GDP by quarter & sector 2020-2024

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). Mexico: change in GDP by quarter & sector 2020-2024 [Dataset]. https://www.statista.com/statistics/1182609/change-gdp-mexico-covid-by-sector/
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As a result of the COVID-19 pandemic, Mexico's gross domestic product (GDP) decreased the most in 2020 in comparison to 2019. As of the first quarter of 2024, the GDP has increased steadily reaching an organic growth, for this the industry that got the most benefited from was construction, which showed an increase of **** percent that period. Moreover, the worst hit industry was mining, which showed a decrease of *** percent.

  9. 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.

  10. T

    Mexico Coronavirus COVID-19 Vaccination Total

    • tradingeconomics.com
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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. Data_Sheet_1_Evaluating the impact of mobility in COVID-19 incidence and...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 4, 2023
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    César Arturo Méndez-Lizárraga; MLucía Castañeda-Cediel; Guadalupe Delgado-Sánchez; Edith Elizabeth Ferreira-Guerrero; Leticia Ferreyra-Reyes; Sergio Canizales-Quintero; Norma Mongua-Rodríguez; Norma Tellez-Vázquez; María Eugenia Jiménez-Corona; Kathryn Bradford Vosburg; Omar Y. Bello-Chavolla; Lourdes García-García (2023). Data_Sheet_1_Evaluating the impact of mobility in COVID-19 incidence and mortality: A case study from four states of Mexico.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.877800.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    César Arturo Méndez-Lizárraga; MLucía Castañeda-Cediel; Guadalupe Delgado-Sánchez; Edith Elizabeth Ferreira-Guerrero; Leticia Ferreyra-Reyes; Sergio Canizales-Quintero; Norma Mongua-Rodríguez; Norma Tellez-Vázquez; María Eugenia Jiménez-Corona; Kathryn Bradford Vosburg; Omar Y. Bello-Chavolla; Lourdes García-García
    License

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

    Area covered
    Mexico
    Description

    IntroductionThe COVID-19 pandemic in Mexico began at the end of February 2020. An essential component of control strategies was to reduce mobility. We aimed to evaluate the impact of mobility on COVID- incidence and mortality rates during the initial months of the pandemic in selected states.MethodsCOVID-19 incidence data were obtained from the Open Data Epidemiology Resource provided by the Mexican government. Mobility data was obtained from the Observatory for COVID-19 in the Americas of the University of Miami. We selected four states according to their compliance with non-pharmaceutical interventions and mobility index. We constructed time series and analyzed change-points for mobility, incidence, and mortality rates. We correlated mobility with incidence and mortality rates for each time interval. Using mixed-effects Poisson models, we evaluated the impact of reductions in mobility on incidence and mortality rates, adjusting all models for medical services and the percentage of the population living in poverty.ResultsAfter the initial decline in mobility experienced in early April, a sustained increase in mobility followed during the rest of the country-wide suspension of non-essential activities and the return to other activities throughout mid-April and May. We identified that a 1% increase in mobility yielded a 5.2 and a 2.9% increase in the risk of COVID-19 incidence and mortality, respectively. Mobility was estimated to contribute 8.5 and 3.8% to the variability in incidence and mortality, respectively. In fully adjusted models, the contribution of mobility to positive COVID-19 incidence and mortality was sustained. When assessing the impact of mobility in each state compared to the state of Baja California, increased mobility conferred an increased risk of incident positive COVID-19 cases in Mexico City, Jalisco, and Nuevo León. However, for COVID-19 mortality, a differential impact of mobility was only observed with Jalisco and Nuevo León compared to Baja California.ConclusionMobility had heterogeneous impacts on COVID-19 rates in different regions of Mexico, indicating that sociodemographic characteristics and regional-level pandemic dynamics modified the impact of reductions in mobility during the COVID-19 pandemic. The implementation of non-pharmaceutical interventions should be regionalized based on local epidemiology for timely response against future pandemics.

  12. 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

  13. Mexico: change in expenditure due to COVID-19 2020, by category

    • statista.com
    Updated Mar 27, 2020
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    Statista (2020). Mexico: change in expenditure due to COVID-19 2020, by category [Dataset]. https://www.statista.com/statistics/1107466/mexico-change-expenditure-coronavirus-category/
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    Dataset updated
    Mar 27, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of March 2020, consumers in Mexico decreased their level of expenditure in certain goods and services due to the spread of the disease caused by the coronavirus, officially known as SARS-CoV-2. The most affected sector was that of leisure activities, with an expenditure drop of close to 38 percent. Fuel and restaurants followed, with a decline of 36 and 30 percent, respectively. On February 28, the first cases of COVID-19 were confirmed in the country. As of March 25, 2020, the number of COVID-19 registered cases in Mexico amounted to 405.

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

  14. M

    Mexico SALUD: COVID-19: Confirmed Cases: New

    • ceicdata.com
    Updated Mar 15, 2019
    + more versions
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: New [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-new
    Explore at:
    Dataset updated
    Mar 15, 2019
    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
    Oct 10, 2022 - Oct 21, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: New data was reported at 0.000 Person in 24 Oct 2022. This stayed constant from the previous number of 0.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: Confirmed Cases: New data is updated daily, averaging 4,793.500 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 60,552.000 Person in 19 Jan 2022 and a record low of 0.000 Person in 24 Oct 2022. Mexico SALUD: COVID-19: Confirmed Cases: New 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. As of Oct 07, cases confirmed by clinical-epidemiological association to COVID-19 are included on the count of Confirmed Cases and Deaths. These cases are suspected cases or those who has symptoms but were unable to have a test or received medical attention before dying.

  15. 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.

  16. M

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

    • ceicdata.com
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    CEICdata.com, Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-queretaro
    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: Queretaro data was reported at 175,142.000 Person in 17 Aug 2022. This records an increase from the previous number of 174,943.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro data is updated daily, averaging 69,521.500 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 175,142.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 10 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro 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.

  17. 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
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    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

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

    • microdata.unhcr.org
    • datacatalog.ihsn.org
    • +2more
    Updated Mar 22, 2022
    + more versions
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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

  19. h

    covid-19-mexico

    • huggingface.co
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    Dashel Ruiz Perez, covid-19-mexico [Dataset]. https://huggingface.co/datasets/dashelruiz/covid-19-mexico
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Dashel Ruiz Perez
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Mexico
    Description

    dashelruiz/covid-19-mexico dataset hosted on Hugging Face and contributed by the HF Datasets community

  20. M

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

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-nayarit
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    Dataset updated
    Feb 15, 2019
    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: Nayarit data was reported at 71,233.000 Person in 17 Aug 2022. This records an increase from the previous number of 71,161.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit data is updated daily, averaging 12,041.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 71,233.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 20 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit 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.

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TRADING ECONOMICS, Mexico Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/mexico/coronavirus-cases

Mexico Coronavirus COVID-19 Cases

Mexico Coronavirus COVID-19 Cases - Historical Dataset (2020-02-18/2023-05-17)

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xml, csv, json, 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
Feb 18, 2020 - May 17, 2023
Area covered
Mexico
Description

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

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