India reported over 44 million confirmed cases of the coronavirus (COVID-19) as of October 20, 2023. The number of people infected with the virus was declining across the south Asian country.

What is the coronavirus?

COVID-19 is part of a large family of coronaviruses (CoV) that are transmitted from animals to people. The name COVID-19 is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged. Symptoms of COVID-19 resemble that of the common cold, with fever, coughing, and shortness of breath. However, serious infections can lead to pneumonia, multi-organ failure, severe acute respiratory syndrome, and even death, if appropriate medical help is not provided.

COVID-19 in India

India reported its first case of this coronavirus in late January 2020 in the southern state of Kerala. That led to a nation-wide lockdown between March and June that year to curb numbers from rising. After marginal success, the economy opened up leading to some recovery for the rest of 2020. In March 2021, however, the second wave hit the country causing record-breaking numbers of infections and deaths, crushing the healthcare system. The central government has been criticized for not taking action this time around, with "#ResignModi" trending on social media platforms in late April. The government's response was to block this line of content on the basis of fighting misinformation and reducing panic across the country.

India recorded 44983152 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, India reported 531794 Coronavirus Deaths. This dataset includes a chart with historical data for India Coronavirus Cases.

India reported almost 45 million cases of the coronavirus (COVID-19) as of October 20, 2023, with more than 44 million recoveries and about 532 thousand fatalities. The number of cases in the country had a decreasing trend in the past months.

Burden on the healthcare system

With the world's second largest population in addition to an even worse second wave of the coronavirus pandemic seems to be crushing an already inadequate healthcare system. Despite vast numbers being vaccinated, a new variant seemed to be affecting younger age groups this time around. The lack of ICU beds, black market sales of oxygen cylinders and drugs needed to treat COVID-19, as well as overworked crematoriums resorting to mass burials added to the woes of the country. Foreign aid was promised from various countries including the United States, France, Germany and the United Kingdom. Additionally, funding from the central government was expected to boost vaccine production.

Situation overview
Even though days in April 2021 saw record-breaking numbers compared to any other country worldwide, a nation-wide lockdown has not been implemented. The largest religious gathering - the Kumbh Mela, sacred to the Hindus, along with election rallies in certain states continue to be held. Some states and union territories including Maharashtra, Delhi, and Karnataka had issued curfews and lockdowns to try to curb the spread of infections.

This Dataset contains day-wise cumulative total positive cases, active cases, recoveries and death statistics due to COVID-19 in India up to 10 June 2024

A majority of the coronavirus (COVID-19) cases in India affected people between ages 31 and 40 years as of October 18, 2021. Of these, the highest share of deaths during the measured time period was observed in people under the age of 50 years.

India COVID-19: As on Date: Total Number of Active Cases data was reported at 35.000 Case in 05 May 2025. This records an increase from the previous number of 29.000 Case for 28 Apr 2025. India COVID-19: As on Date: Total Number of Active Cases data is updated daily, averaging 44,029.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 3,745,237.000 Case in 10 May 2021 and a record low of 1.000 Case in 24 Feb 2025. India COVID-19: As on Date: Total Number of Active Cases data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

The Indian state of Punjab reported the highest number of active coronavirus (COVID-19) cases of over one thousand cases as of October 20, 2023. Kerala and Karnataka followed, with relatively lower casualties. That day, there were a total of over 44 million confirmed infections across India.

India COVID-19: As on Date: Total Number of Confirmed Cases data was reported at 45,044,752.000 Case in 28 Apr 2025. This records an increase from the previous number of 45,044,668.000 Case for 21 Apr 2025. India COVID-19: As on Date: Total Number of Confirmed Cases data is updated daily, averaging 43,124,585.500 Case from Mar 2020 (Median) to 28 Apr 2025, with 1586 observations. The data reached an all-time high of 45,044,752.000 Case in 28 Apr 2025 and a record low of 110.000 Case in 15 Mar 2020. India COVID-19: As on Date: Total Number of Confirmed Cases data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

Total Covid cases, end of month in India, March, 2023 The most recent value is 44700000 total Covid cases as of March 2023, no change compared to the previous value of 44700000 total Covid cases. Historically, the average for India from February 2020 to March 2023 is 26611526 total Covid cases. The minimum of 7 total Covid cases was recorded in February 2020, while the maximum of 44700000 total Covid cases was reached in October 2022. | TheGlobalEconomy.com

Content

The WHO coronavirus (COVID-19) dashboard presents official daily counts of COVID-19 cases, deaths and vaccine utilization reported by countries, territories and areas. Through this dashboard, we aim to provide a frequently updated data visualization, data dissemination and data exploration resource, while linking users to other useful and informative resources.

Caution must be taken when interpreting all data presented, and differences between information products published by WHO, national public health authorities, and other sources using different inclusion criteria and different data cut-off times are to be expected. While steps are taken to ensure accuracy and reliability, all data are subject to continuous verification and change. All counts are subject to variations in case detection, definitions, laboratory testing, vaccination strategy, and reporting strategies.

Acknowledgements

© World Health Organization 2020, All rights reserved.

WHO supports open access to the published output of its activities as a fundamental part of its mission and a public benefit to be encouraged wherever possible. Permission from WHO is not required for the use of the WHO coronavirus disease (COVID-19) dashboard material or data available for download. It is important to note that:

WHO publications cannot be used to promote or endorse products, services or any specific organization.

WHO logo cannot be used without written authorization from WHO.

WHO provides no warranty of any kind, either expressed or implied. In no event shall WHO be liable for damages arising from the use of WHO publications.

For further information, please visit WHO Copyright, Licencing and Permissions.

Citation: WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/

Inspiration

Daily cases start increasing suddenly just before the new year and there's a fear for the upcoming wave. Everybody starts to predict the peak cases in the 3rd wave and the date the peak will be reached. Assume you are in the 1st week of January 2022 and there's panic in the country, for the Omicron variant is said to be highly transmittable. Using your machine learning and deep learning skills, you have to create a model that predicts accurately the peak for the 3rd wave.

Context

Covid-19 is spreading in India at a very high rate. Recently, India witnessed the most number of positive cases in a day. We must do what we can to understand and defeat this deadly virus. Here is the data set I gathered from official 'Indian Ministry of Health' website updated on 15 June, 2020. I hope you find it useful. I will keep updating the data set on a regular basis.

Acknowledgements

https://www.mohfw.gov.in/

PC: Photo by Fusion Medical Animation on Unsplash

Column Description

State - Name of the State/ Union Territory Active Cases - Number of active cases in the State Cured/Migrated - Number of Cases Cured/ Migrated from the State Deaths - Number of deaths in the State due to Covid19 Total Confirmed Cases - Total number of confirmed cases in the State (Active + Cured + Deaths)

COVID-19: As on Date: Number of Confirmed Cases: Bihar data was reported at 855,691.000 Case in 05 May 2025. This stayed constant from the previous number of 855,691.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Confirmed Cases: Bihar data is updated daily, averaging 830,695.000 Case from Mar 2020 (Median) to 05 May 2025, with 1580 observations. The data reached an all-time high of 855,691.000 Case in 05 May 2025 and a record low of 2.000 Case in 23 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Bihar data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

In past 24 hours, India, Asia had 68 new cases, N/A deaths and N/A recoveries.

Scraped https://www.mohfw.gov.in/ website for covid-19 cases in india from feb onwards and then created this dataset. https://github.com/Gurdit559/Data-science-projects

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

https://www.mohfw.gov.in/

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Case data from 03-10-2020 to 08-16-2020, this data repository stores COVID-19 virus case data for India, including the daily case, summary data, and base map. Each zip file contains weekly case data from Monday to Sunday.

COVID-19: As on Date: Number of Active Cases: Maharashtra data was reported at 5.000 Case in 05 May 2025. This records an increase from the previous number of 2.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Active Cases: Maharashtra data is updated daily, averaging 6,087.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 701,614.000 Case in 23 Apr 2021 and a record low of 0.000 Case in 21 Apr 2025. COVID-19: As on Date: Number of Active Cases: Maharashtra data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

India COVID-19: As on Date: Number of Confirmed Cases: Dadra and Nagar Haveli data was reported at 26.000 Case in 11 Jun 2020. This records an increase from the previous number of 22.000 Case for 10 Jun 2020. India COVID-19: As on Date: Number of Confirmed Cases: Dadra and Nagar Haveli data is updated daily, averaging 2.000 Case from May 2020 (Median) to 11 Jun 2020, with 37 observations. The data reached an all-time high of 26.000 Case in 11 Jun 2020 and a record low of 1.000 Case in 23 May 2020. India COVID-19: As on Date: Number of Confirmed Cases: Dadra and Nagar Haveli data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

Analysis of ‘Latest Covid-19 India Statewise Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/anandhuh/latest-covid19-india-statewise-data on 12 November 2021.

--- Dataset description provided by original source is as follows ---

About

This dataset contains latest Covid-19 India state-wise data as on November 07, 2021. This dataset can be used to analyze covid in India. This dataset is great for Exploratory Data Analysis

Attribute Information

1. State/UTs - Names of Indian States and Union Territories.
2. Total Cases - Total number of confirmed cases
3. Active - Total number of active cases
4. Discharged - Total number of discharged cases
5. Deaths - Total number of deaths
6. Active Ratio (%) - Ratio of number of active cases to total cases
7. Discharge Ratio (%) - Ratio of number of discharged cases to total cases
8. Death Ratio (%) - Ratio of number of deaths to total cases

Source

Link : https://www.mygov.in/covid-19

Other Updated Covid Datasets

https://www.kaggle.com/anandhuh/datasets

Thank You

--- Original source retains full ownership of the source dataset ---

COVID-19: As on Date: Number of Active Cases: Chandigarh data was reported at 0.000 Case in 05 May 2025. This stayed constant from the previous number of 0.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Active Cases: Chandigarh data is updated daily, averaging 39.000 Case from Mar 2020 (Median) to 05 May 2025, with 1583 observations. The data reached an all-time high of 9,966.000 Case in 20 Jan 2022 and a record low of 0.000 Case in 05 May 2025. COVID-19: As on Date: Number of Active Cases: Chandigarh data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.