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Daily Coronavirus Metrics for States and UTs in India

Patient Health Records & Digital Health

Tags and Keywords

Covid-19

India

Statewise

Cases

Pandemic

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Daily Coronavirus Metrics for States and UTs in India Dataset on Opendatabay data marketplace

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About

provides specific, daily insights into the progression of the COVID-19 pandemic across India at the State and Union Territory level. It captures essential metrics regarding cumulative corona cases and is a valuable resource for studying the initial waves of the outbreak. The data spans approximately a year and a half of reporting, offering detailed quantitative historical context on the virus's spread and impact throughout the nation.

Columns

  • S. No.: Represents the Serial Number for each entry.
  • Date: The specific date corresponding to the reported case figures, with 535 unique values represented in the sample.
  • Region: Identifies the Name of the State or Union Territory (UT) to which the data pertains, featuring 39 unique regions.
  • Confirmed Cases: The cumulative total number of confirmed COVID-19 cases recorded up to that date, with a maximum value exceeding 214 million in the available data.
  • Active Cases: The current number of cases that are actively infectious or under treatment. Note that approximately 3% of the records may show missing values for this metric.
  • Cured/Discharged: The count of individuals who have either been cured or officially discharged from care.
  • Death: The cumulative number of deaths attributed to the virus.

Distribution

The information is generally delivered in a tabular file format, most commonly CSV. The structure consists of 7 columns and holds nearly 19.3 thousand valid entries for key metrics. The associated file size is approximately 948.9 kB. The data collection is generally consistent across the records, though a small percentage of records show missing values for Cured/Discharged and Active Cases.

Usage

📈 This data is ideal for time-series analysis focused on tracking daily changes in state-level case counts. It is widely applicable for creating epidemiological models to understand transmission rates and recovery dynamics. Furthermore, the dataset supports visual analytics and dashboard creation to monitor the state-wise burden of the disease over the specified period.

Coverage

The geographic scope of the data covers every State and Union Territory (UT) located within India. The temporal coverage ranges from 12 March 2020 through to 30 August 2021, providing daily granularity across this period. The focus is strictly on aggregated case counts (confirmed, active, cured, death).

License

CC0: Public Domain

Who Can Use It

  • Healthcare Policy Makers: Utilise the regional data to review past responses and allocate future resources based on historical severity levels.
  • Academic Researchers: Employ the confirmed, active, and death figures for deep statistical studies into regional health crises.
  • Software Developers: Integrate the state-wise figures into applications that require historical public health data.

Dataset Name Suggestions

  • Indian State-Level COVID-19 Statistics (Mar 2020 - Aug 2021)
  • Daily Coronavirus Metrics for States and UTs in India
  • India Statewise COVID-19 Case Tracking Data

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

11/11/2025

REGION

ASIA

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format