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.

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.

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.

Brazil is the Latin American country affected the most by the COVID-19 pandemic. As of May 2025, the country had reported around 38 million cases. It was followed by Argentina, with approximately ten million confirmed cases of COVID-19. In total, the region had registered more than 83 million diagnosed patients, as well as a growing number of fatal COVID-19 cases. The research marathon Normally, the development of vaccines takes years of research and testing until options are available to the general public. However, with an alarming and threatening situation as that of the COVID-19 pandemic, scientists quickly got on board in a vaccine marathon to develop a safe and effective way to prevent and control the spread of the virus in record time. Over two years after the first cases were reported, the world had around 1,521 drugs and vaccines targeting the COVID-19 disease. As of June 2022, a total of 39 candidates were already launched and countries all over the world had started negotiations and acquisition of the vaccine, along with immunization campaigns. COVID vaccination rates in Latin America As immunization against the spread of the disease continues to progress, regional disparities in vaccination coverage persist. While Brazil, Argentina, and Mexico were among the Latin American nations with the most COVID-19 cases, those that administered the highest number of COVID-19 doses per 100 population are Cuba, Chile, and Peru. Leading the vaccination coverage in the region is the Caribbean nation, with more than 406 COVID-19 vaccines administered per every 100 inhabitants as of January 5, 2024.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Mexico SALUD: COVID-19: No. of Deaths: To Date: Sinaloa data was reported at 9,948.000 Person in 24 Oct 2022. This stayed constant from the previous number of 9,948.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Sinaloa data is updated daily, averaging 6,416.500 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 9,948.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 29 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: To Date: Sinaloa 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.

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

Mexico SALUD: COVID-19: No. of Deaths: To Date: Puebla data was reported at 16,659.000 Person in 24 Oct 2022. This stayed constant from the previous number of 16,659.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Puebla data is updated daily, averaging 12,326.000 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 16,659.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 28 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: To Date: Puebla 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.

Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data was reported at 144,158.000 Person in 17 Aug 2022. This records an increase from the previous number of 143,948.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data is updated daily, averaging 46,424.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 144,158.000 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: Oaxaca 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: Michoacan data was reported at 8,712.000 Person in 24 Oct 2022. This stayed constant from the previous number of 8,712.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Michoacan data is updated daily, averaging 5,853.000 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 8,712.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 26 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: To Date: Michoacan 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.

This is the survey through which the data was collected to know the perception of the Mexican population during the mandatory quarantine during phase 2 of the COVID-19 pandemic, in the month of April 2020. Incudes: General data , Knowledge of the virus , Current health status , Work status , Economy , Emotional state and Media (relationship of images with emotions perception).

Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers about the communities that are hardest-hit by the economic toll of the pandemic. IPA has rolled out the RECOVR survey in Burkina Faso, Colombia, Côte d'Ivoire, Ghana, Metro Mexico City, the Philippines, Rwanda, Sierra Leone, and Zambia. We document severe negative shocks to employment, income and food security, and identify how families are caring for and educating their children during extended school closures.

Context

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness. During the entire course of the pandemic, one of the main problems that healthcare providers have faced is the shortage of medical resources and a proper plan to efficiently distribute them. In these tough times, being able to predict what kind of resource an individual might require at the time of being tested positive or even before that will be of immense help to the authorities as they would be able to procure and arrange for the resources necessary to save the life of that patient.

The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

content

The dataset was provided by the Mexican government (link). This dataset contains an enormous number of anonymized patient-related information including pre-conditions. The raw dataset consists of 21 unique features and 1,048,576 unique patients. In the Boolean features, 1 means "yes" and 2 means "no". values as 97 and 99 are missing data.

• sex: 1 for female and 2 for male.
• age: of the patient.
• classification: covid test findings. Values 1-3 mean that the patient was diagnosed with covid in different degrees. 4 or higher means that the patient is not a carrier of covid or that the test is inconclusive.
• patient type: type of care the patient received in the unit. 1 for returned home and 2 for hospitalization.
• pneumonia: whether the patient already have air sacs inflammation or not.
• pregnancy: whether the patient is pregnant or not.
• diabetes: whether the patient has diabetes or not.
• copd: Indicates whether the patient has Chronic obstructive pulmonary disease or not.
• asthma: whether the patient has asthma or not.
• inmsupr: whether the patient is immunosuppressed or not.
• hypertension: whether the patient has hypertension or not.
• cardiovascular: whether the patient has heart or blood vessels related disease.
• renal chronic: whether the patient has chronic renal disease or not.
• other disease: whether the patient has other disease or not.
• obesity: whether the patient is obese or not.
• tobacco: whether the patient is a tobacco user.
• usmr: Indicates whether the patient treated medical units of the first, second or third level.
• medical unit: type of institution of the National Health System that provided the care.
• intubed: whether the patient was connected to the ventilator.
• icu: Indicates whether the patient had been admitted to an Intensive Care Unit.
• date died: If the patient died indicate the date of death, and 9999-99-99 otherwise.

Mexico SALUD: COVID-19: No. of Deaths: To Date: Jalisco data was reported at 19,811.000 Person in 24 Oct 2022. This stayed constant from the previous number of 19,811.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Jalisco data is updated daily, averaging 12,564.000 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 19,811.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 22 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: 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 Deaths are based on the state where it is reported.

Mexico SALUD: COVID-19: No. of Deaths: To Date: Oaxaca data was reported at 6,051.000 Person in 24 Oct 2022. This stayed constant from the previous number of 6,051.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Oaxaca data is updated daily, averaging 3,811.500 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 6,051.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 29 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: To Date: Oaxaca 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.

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.

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.

Context

Mexico is in the Top 5 countries with more COV19 deaths. many patients are dying every day in the hospitals. But here's the thing:

How can we know what people are at greater risk of dying by COV19? and then what can we do with that information?

This dataset was collected by Mexican health authorities and contains all registers about COV19 patients by the time this dataset was downloaded (April, 2021).

Content

What's inside is data about the patients, and there are many things we can know about the patients such as where did they were hospitalized, in what state of Mexico, them age and the date of the death.

Also there are many interesting columns that tell us is the patient has a health issue apart from COVID19 and there's a long list about this issues such as obesity, hypertension, asthma, diabetes, ....

And there are other important features: if the patient smokes, if the patient was diagnosed with pneumonia or whether the patient was intubated.

Acknowledgements

We wouldn't be here without the help of others. This dataset was collected by the Mexican health authorities. Thanks to them we have this dataset today.

The dataset was downloaded from the government page

Inspiration

This dataset contains many data that could help us to answer many questions, for example:

• How probability of dying increase with the patient's age?
• How that probability increases if the patient has another health issue?
• How dying probability increases when the patient has been intubated?
• Is it true that smoking increases the probability of dying by COV19?
• In what state there are more deaths?

There are many other questions that you can answer.

Mexico SALUD: COVID-19: No. of Deaths: To Date: Queretaro data was reported at 6,571.000 Person in 24 Oct 2022. This stayed constant from the previous number of 6,571.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: No. of Deaths: To Date: Queretaro data is updated daily, averaging 4,647.000 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 6,571.000 Person in 24 Oct 2022 and a record low of 0.000 Person in 29 Mar 2020. Mexico SALUD: COVID-19: No. of Deaths: 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 Deaths are based on the state where it is reported.

Context

A health crisis of massive proportion such as the current COVID-9 pandemic provides us with an opportunity to ponder and reflect over what we can better in the way we deal with healthcare to make us humans be more prepared and enabled to combat such an event in the future. During the entire course of the pandemic, one of the main problems that healthcare providers have faced is the shortage of medical resources and a proper plan to efficiently distribute them. They have been in the dark failing to understand how much resource they could even in the very next week as the COVID-19 curve has swayed very unpredictably. In these tough times, being able to predict what kind of resource an individual might require at the time of being tested positive or even before that will be of great help to the authorities as they would be able to procure and arrange for the resources necessary to save the life of that patient.

Content

While the above are lofty thoughts, procuring patient data of COVID-19 patients containing patient-specific information regarding patient history and habits is a different ball game altogether. This is mainly due to the regulatory security laws such as HIPAA and GDPR which makes it almost impossible for anyone to get hands-on PHI data. I spend literally days and nights searching for a suitable data-set, called up people I knew for any directions towards a data-set which might be of use to me. Finally, I found this data-set https://www.gob.mx/salud/documentos/datos-abiertos-152127 which was released by the Mexican government. This data-set contains a huge number of anonymised patient-related information.