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.

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.

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.

Context

This dataset was sourced from the government of Mexico and translated to English

Inspiration

Try to create a model that would predict multiple outcomes depending on patient's pre-existing medical conditions or vice versa.

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

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.

This study evaluates Mexican consumers' perceptions of the potential connection between COVID-19 transmission and food consumption and assesses changes in consumers' preferences for beef product attributes before and during the pandemic. Data for the study was collected through two online surveys of 2,020 Mexican consumers: 1,000 observations were collected before the pandemic (Dec 2019) and 1,020 during the pandemic (Dec 2020). The data were analyzed using descriptive statistics, Chi-square tests, and linear regression.
Originality/value - Several institutions collect and report data on quantities and prices of food products and consumers’ income, data on consumers’ perceptions of food quality attributes are not readily available. This study focused on consumer concerns and perceptions regarding COVID-19 and meat consumption. Keywords Preferences, Perception, COVID-19, Beef Resources in this dataset:Resource Title: Dataset Mexican Beef Preferences. File Name: Mexico_dataset.xlsxResource Description: Dataset_1: The first round of surveys (Dec 2019) Dataset_2: The second round of surveys (Dec 2020)Resource Software Recommended: Microsoft Excel ,url: https://www.microsoft.com/en-us/microsoft-365/excel

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

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.

Mexico SALUD: COVID-19: No. of Deaths: To Date: Baja California Sur data was reported at 2,748.000 Person in 24 Oct 2022. This stayed constant from the previous number of 2,748.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Baja California Sur data is updated daily, averaging 1,506.000 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 2,748.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 31 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: To Date: Baja California Sur 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 Deaths are based on the state where it is reported.

As of February 2025, a total of 86 clinical studies targeting COVID-19 in Mexico were in phase 3. Meanwhile, three COVID-19 clinical trials were in early phase 1 in the North American country. As of June 3, 2022, there were over 1,500 drugs and vaccines in development targeting the coronavirus disease (COVID-19) worldwide.

Clinical data from patients hospitalised with COVID19 in Mexico, shared as a part of the ISARIC Clinical Characterisation Group collaboration.

Casos de Coronavirus en Mexico

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.

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.

The number of COVID-19 vaccination doses administered per 100 people in Mexico rose to 175 as of Oct 27 2023. This dataset includes a chart with historical data for Mexico Coronavirus Vaccination Rate.

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

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

Amid the COVID-19 outbreak, the ENCOVID-19 provides information on the well-being of Mexican households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a project consisting of a series of cross-sectional telephone surveys collected once a month for one year. In addition to the four main domains and a set of COVID19-related questions, the survey includes new key indicators every month to capture the impact of the pandemic on issues like education, social programs, and crime. This is the third dataset of the project, corresponding to June 2020, collected three months after the lockdown began in Mexico.

Amid the COVID-19 outbreak, the ENCOVID-19 provides information on the well-being of Mexican households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a project consisting of a series of cross-sectional telephone surveys collected in key moments of the COVID-19 pandemic. In addition to the four main domains and a set of COVID19-related questions, the survey includes new key indicators every month to capture the impact of the pandemic on issues like education, social programs, and crime. This is the sixth dataset of the project, corresponding to December 2020, collected nine months after the lockdown began in Mexico. Data collection was performed from November 27 to December 11, 2020.

En el presente trabajo se acompañan los datos diarios de la epidemia COVID-19 en México. Para ello se discute uno de los modelos epidemiológico más básicos y se muestra como puede ser resuelto para analizar las cifras oficiales de los casos positivos identificados en la República Mexicana. Esto permite explorar la dinámica de las predicciones de su evolución, en un corto plazo. Adicionalmente, se explican los conceptos epidemiológicos más básicos y se hace énfasis en mostrar las herramientas computacionales que se requieren para ello.