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Morocco Coronavirus Daily Case Tracking

Patient Health Records & Digital Health

Tags and Keywords

Morocco

Covid-19

Confirmed

Regional

Deaths

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Morocco Coronavirus Daily Case Tracking Dataset on Opendatabay data marketplace

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About

This collection of data focuses on the Novel Coronavirus Disease 2019 (COVID-19) pandemic within Morocco. It traces the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) following the first confirmed case reported in Casablanca on 2 March 2020. The collection offers the latest available public information, detailing the daily situation update, including confirmed cases, recoveries, and deaths. Users should be aware that updates include retrospective adjustments to earlier counts as new information is received subsequent to initial reports.

Columns

The data is provided across several files detailing daily national metrics and regional specifics:
Daily National Metrics (example file: covid19-morocco.csv):
  • date: The date of observation in YYYY/MM/DD format.
  • total_cases: The cumulative count of confirmed cases.
  • recovered: The cumulative count of recovered cases.
  • active_cases: The current count of active cases.
  • total_deaths: The cumulative count of confirmed deaths.
Daily Regional Metrics (example file: covid19-morocco-regions.csv):
  • Date: The date of observation in YYYY/MM/DD format.
  • Confirmed: Cumulative confirmed cases.
  • Deaths: Cumulative confirmed deaths.
  • Recovered: Cumulative recovered cases.
  • Excluded: Cumulative negative tests performed.
  • Regional Columns: Daily cumulative confirmed cases broken down across the twelve administrative regions: TTH (Tanger-Tétouan-Al Hoceima), OR (Oriental), FM (Fès-Meknès), RSK (Rabat-Salé-Kénitra), BK (Béni Mellal-Khénifra), CS (Casablanca-Settat), MS (Marrakesh-Safi), DT (Drâa-Tafilalet), SM (Souss-Massa), GO (Guelmim-Oued Noun), LS (Laâyoune-Sakia El Hamra), and DO (Dakhla-Oued Ed-Dahab).
Regional Context Metrics (example file: regions-morocco.csv):
  • Region: Name of the Administrative Region of Morocco.
  • Id: Unique identifier for the regions.
  • Latitude & Longitude: DD Coordinates for the Administrative Regions.
  • Population: Population estimate per region (based on 2020 projections).
  • Contribution_GDP: Contribution of the Region to the National GDP Growth (data based on 2018).

Distribution

The information is generally structured in CSV file formats. Key daily and regional files contain roughly 215 records, covering the period from 2 March 2020. The data is structured with specific validation fields, indicating that most records are valid, though some regional fields may have a small number of missing data points (approximately 3%). The mean value for cumulative confirmed cases across the sample period is about 25.3 thousand, while cumulative deaths average 469. Updates are expected to occur weekly.

Usage

This data is ideal for public health research, epidemiological modelling, and time-series analysis focused on pandemic tracking. It is valuable for studying the geographical spread of the virus across different administrative regions. Furthermore, the inclusion of regional population and GDP contribution metrics allows for sophisticated analyses of the socio-economic impact of the pandemic and risk factor mapping across Morocco.

Coverage

Geographic: The entire nation of Morocco, with specific metrics provided for the Twelve Administrative Regions. Time Range: The observation period begins on 02 March 2020, coinciding with the start of the pandemic in the country. Sample records extend into October 2020. Scope Notes: Data captures daily cumulative figures for cases, deaths, and recoveries. It also provides regional context, including 2020 population projections and 2018 regional GDP contribution figures.

License

CC0: Public Domain

Who Can Use It

  • Public Health Experts and Epidemiologists: To monitor and model disease progression and test effectiveness (using the cumulative negative tests metric).
  • Government Analysts: To correlate health outcomes with regional demographic characteristics like population density and economic contribution.
  • Data Scientists: For time-series analysis, forecasting future case counts, or creating regional risk visualisations.

Dataset Name Suggestions

  • Morocco COVID-19 Daily & Regional Statistics
  • SARS-CoV-2 Pandemic Data in Moroccan Regions
  • Morocco Coronavirus Daily Case Tracking
  • Moroccan Administrative Regions Health and Population Metrics

Attributes

Listing Stats

VIEWS

5

DOWNLOADS

1

LISTED

22/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

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