Opendatabay APP

Indonesian Pandemic Data

Public Health & Epidemiology

Tags and Keywords

Coronavirus

Diseases

Health

Indonesia

Pandemic

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Indonesian Pandemic Data Dataset on Opendatabay data marketplace

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Free

About

This dataset provides detailed time-series information about the COVID-19 pandemic in Indonesia. Its primary purpose is to help identify various factors that can be considered for decision-making concerning the level of stringency within each province across Indonesia. The data is compiled from official sources, offering insights into the pandemic's progression and its impact, supporting analytical efforts for public health and policy formulation.

Columns

  • Date: The reporting date for the data.
  • Location ISO Code: Standardised ISO codes representing the location.
  • Location: The name of the geographical location.
  • New Cases: The number of new daily positive COVID-19 cases.
  • New Deaths: The number of new daily COVID-19 deaths.
  • New Recovered: The number of new daily recovered COVID-19 patients.
  • New Active Cases: The number of new daily active COVID-19 cases.
  • Total Cases: The running total of positive COVID-19 cases up to the related date.
  • Total Deaths: The running total of COVID-19 deaths up to the related date.
  • Total Recovered: The running total of recovered COVID-19 patients up to the related date.
  • Total Active Cases: The running total of active COVID-19 cases up to the related date.
  • Location Level: Indicates whether the data is at a 'Province' or 'Country' level.
  • City or Regency: The name of the city or district within the location. This column is currently largely empty.
  • Province: The name of the province within the location.
  • Country: The name of the country.
  • Continent: The name of the continent.
  • Island: The name of the major island related to the location.
  • Time Zone: The time zone of the location.
  • Special Status: Any special status applicable to the location, such as 'Daerah Khusus'.
  • Total Regencies: The total number of regencies in the location.
  • Total Cities: The total number of cities in the location.
  • Total Districts: The total number of districts in the location.
  • Total Urban Villages: The total number of urban villages in the location.
  • Total Rural Villages: The total number of rural villages in the location.
  • Area (km2): The geographical area of the location in square kilometres.
  • Population: The population of the location.
  • Population Density: The population density of the location, calculated as Population / Area.
  • Longitude: The longitude coordinate of the location.
  • Latitude: The latitude coordinate of the location.
  • New Cases per Million: New Cases / Population * 1,000,000.
  • Total Cases per Million: Total Cases / Population * 1,000,000.
  • New Deaths per Million: New Deaths / Population * 1,000,000.
  • Total Deaths per Million: Total Deaths / Population * 1,000,000.
  • Total Deaths per 100rb: Total Deaths / Total Cases * 100.
  • Case Fatality Rate: Total Recovered / Total Cases * 100.
  • Case Recovered Rate: Today New Cases / Yesterday New Cases. This indicates whether new cases are decreasing (under 1), flat (1), or increasing (above 1).
  • Growth Factor of New Cases: Today New Deaths / Yesterday New Deaths. This indicates whether new deaths are decreasing (under 1), flat (1), or increasing (above 1).
  • Growth Factor of New Deaths: Today New Deaths / Yesterday New Deaths. This indicates whether new deaths are decreasing (under 1), flat (1), or increasing (above 1).

Distribution

The dataset is primarily available as a CSV file, with a sample file typically updated separately to the platform. The main file, covid_19_indonesia_time_series_all.csv, is approximately 7.5 MB and contains 38 columns. The data is structured as a time series, providing information at both a country level (Indonesia) and a province level. For certain provinces, data may also be available at the city or regency level. Most columns contain over 31,800 valid records.

Usage

This dataset is ideally suited for applications requiring in-depth analysis of the COVID-19 pandemic's progression in Indonesia. Potential use cases include:
  • Informing government policy and public health interventions by analysing factors influencing disease spread and outcomes.
  • Researching epidemiological trends at national, provincial, and potentially city/regency levels.
  • Developing predictive models for case numbers, deaths, and recoveries.
  • Creating visualisations and dashboards to monitor the pandemic situation.
  • Supporting academic studies on the socioeconomic impacts of health crises.

Coverage

The dataset covers the entire nation of Indonesia, with data points available at both country and province levels. It also includes information for specific major islands like Sumatera and Jawa. The time range spans from 1st March 2020 to 16th September 2022. Demographic data is available, enabling analysis that combines population characteristics with pandemic statistics.

License

The dataset is provided under the CC BY-NC-SA 4.0 license.

Who Can Use It

This dataset is valuable for a wide range of users, including:
  • Public Health Officials and Policy Makers: For evidence-based decision-making on pandemic response and resource allocation.
  • Researchers and Academics: To conduct studies on epidemiology, public health, and societal impacts of the pandemic.
  • Data Scientists and Analysts: For statistical modelling, trend analysis, and dashboard creation.
  • Journalists and Media Professionals: To report on the pandemic's status and effects in Indonesia.
  • Students: For educational projects and learning about real-world data analysis.

Dataset Name Suggestions

  • Indonesia COVID-19 Daily Trends
  • Indonesian Pandemic Data
  • COVID-19 in Indonesia: Provincial and National Overview
  • Indonesia Health Crisis Dynamics

Attributes

Original Data Source: Indonesian Pandemic Data

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

08/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format