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Latin America Excess Mortality & COVID-19 Data

Patient Health Records & Digital Health

Tags and Keywords

Mortality

Covid

Latam

Excess

Health

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Latin America Excess Mortality & COVID-19 Data Dataset on Opendatabay data marketplace

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About

Detailed mortality statistics are essential for understanding the true impact of the COVID-19 pandemic in Latin America. This dataset facilitates an in-depth analysis of excess mortality across five key countries: Mexico, Peru, Chile, Brazil, and Colombia. By contrasting officially reported COVID-19 deaths with total deaths from all causes against a historical baseline (2015-2019), analysts can estimate the number of lives lost directly and indirectly due to the crisis. The data supports the creation of comparative indicators, such as deaths per 100,000 inhabitants, allowing for a fair "apples-to-apples" assessment of the health emergency's severity in the region, overcoming limitations such as under-reporting or testing shortages.

Columns

  • pais: The name of the country (Mexico, Peru, Chile, Brazil, Colombia).
  • fecha inicio: The start date of the data collection period for the recorded deaths.
  • fecha fin: The end date of the data collection period.
  • dias: The number of days covered in the record (typically 7 days for most countries; 28–31 days for Brazil).
  • semana: The specific week or month number of the year associated with the record.
  • total muertes reportadas: The total count of deaths from all causes registered during the period.
  • total muertes reportadas por covid: The total count of deaths explicitly attributed to COVID-19 during the period.

Distribution

The data is structured as a Comma Separated Values (CSV) file named muertes-covid-por-pais.csv. It consists of 1,332 records (rows) and 7 columns, with a file size of approximately 57.09 kB.

Usage

This dataset is designed for public health analysis, data visualisation, and educational projects. Users can employ it to:
  • Calculate "excess deaths" by comparing current mortality against pre-pandemic averages.
  • Generate time-series visualisations showing the progression of the pandemic week-by-week.
  • Normalise mortality figures per 100,000 inhabitants to rank the impact across different nations accurately.
  • Assess the gap between official COVID-19 statistics and total excess mortality.
  • Practise data manipulation skills, such as pivoting tables and connecting data sources.

Coverage

  • Geographic Scope: Latin America (specifically Mexico, Peru, Chile, Brazil, and Colombia).
  • Time Range: Records span from 29 December 2014 to 7 November 2021, providing extensive pre-pandemic historical data to establish baselines.
  • Demographic Scope: National-level mortality aggregates.

License

CC0: Public Domain

Who Can Use It

  • Data Analysts and Students: For developing skills in data cleaning, spreadsheet manipulation, and visualisation.
  • Public Health Researchers: To investigate mortality trends and validate the accuracy of official health reporting.
  • Journalists and Policymakers: To derive insights regarding the management of the health crisis and resource allocation (e.g., vaccines, oxygen).

Dataset Name Suggestions

  • Latin America Excess Mortality & COVID-19 Data
  • LATAM 5-Country Pandemic Mortality Tracker
  • Historical vs COVID-19 Death Statistics (Latin America)
  • South America & Mexico Excess Deaths Analysis

Attributes

Listing Stats

VIEWS

7

DOWNLOADS

1

LISTED

03/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in ZIP Format