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.

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

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.

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 outbreak of the novel coronavirus in Wuhan, China, saw infection cases spread throughout the Asia-Pacific region. By April 13, 2024, India had faced over 45 million coronavirus cases. South Korea followed behind India as having had the second highest number of coronavirus cases in the Asia-Pacific region, with about 34.6 million cases. At the same time, Japan had almost 34 million cases. At the beginning of the outbreak, people in South Korea had been optimistic and predicted that the number of cases would start to stabilize. What is SARS CoV 2?Novel coronavirus, officially known as SARS CoV 2, is a disease which causes respiratory problems which can lead to difficulty breathing and pneumonia. The illness is similar to that of SARS which spread throughout China in 2003. After the outbreak of the coronavirus, various businesses and shops closed to prevent further spread of the disease. Impacts from flight cancellations and travel plans were felt across the Asia-Pacific region. Many people expressed feelings of anxiety as to how the virus would progress. Impact throughout Asia-PacificThe Coronavirus and its variants have affected the Asia-Pacific region in various ways. Out of all Asia-Pacific countries, India was highly affected by the pandemic and experienced more than 50 thousand deaths. However, the country also saw the highest number of recoveries within the APAC region, followed by South Korea and Japan.

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.

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

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.

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.

This dataset is collected from JHP updated GitHub profile till late March 2020. It contains time series data and other data of coordinates of India etc please refer to the files for understanding.

Dataset Name Entries Attributes Covid complete.csv 19220 Province/State, Country/Region, Latitude, Longitude, Confirmed, Death and Recovered. Covid cases in India.xlsx 25 states S.No., Name of State/UT, Total Confirmed cases (Indian National), Total confirmed cases (Foreign National), Cured and Death Indian Coordinates.xlsx 36 states/UT Name of State/UT, Latitude and Longitude Per day cases.csv 56 Date, Total case, New case and Days after surpassing 100 cases Time series confirmed global.csv 242 67 Time series deaths global.csv 242 67 Time series recovered global.csv 242 67

JHU GitHub: https://github.com/CSSEGISandData/COVID-19

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 ---

Dataset

This dataset was created by vikas bhat

Contents

India COVID-19: As on Date: Total Number of Confirmed Cases: Foreign National data was reported at 111.000 Case in 10 May 2020. This stayed constant from the previous number of 111.000 Case for 09 May 2020. India COVID-19: As on Date: Total Number of Confirmed Cases: Foreign National data is updated daily, averaging 71.000 Case from Mar 2020 (Median) to 10 May 2020, with 57 observations. The data reached an all-time high of 111.000 Case in 10 May 2020 and a record low of 17.000 Case in 16 Mar 2020. India COVID-19: As on Date: Total Number of Confirmed Cases: Foreign National 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.

Delhi confirmed almost two million cases of the coronavirus (COVID-19) as of October 20, 2023, with over 26 thousand fatalities and over two million recoveries. The Delhi government, led by Arvind Kejriwal and the Aam Aadmi Party implemented a night and weekend curfew to curb infection numbers in late April 2021. The capital region faced acute shortage of oxygen and ICU beds during this time period.

Acknowledgements

Source: Tamilnadu Government https://stopcorona.tn.gov.in/ It's a great dataset for learning to work with data analysis and visualization.

Context

WHO has declared the recent COVID-19 epidemic affecting most of the countries as Public Health Emergency of International Concern (PHEIC). In this Dataset, we have included that India's one of the states is Tamilnadu and its district wise corona cases, recovery, deaths.

Content

47 columns * 'Date' - From the beginning date of the corona cases in Tamilnadu. * After that 37 district name and the value of their case on that day * Airport (International and Domestic), Railway surveillance - cases on that day
* 'Active_cases' - Cases still in positive * 'Confirmed_cases_on_day' - total of cases on that day * 'Death_on_day' - Death on that day * 'Total_death' - Total death till that date * 'Total_Recoveries' - Total Recoveries till that date * 'Total_Confirmed_cases' - Total Confirmed cases till that date

Just like any country, India has struggled against the coronavirus (COVID-19) pandemic. Various factors like financial inequality, inadequate healthcare, and a huge population have made the matter even worse. In April 2020, after conducting the maximum number of tests in the country, the state of Maharashtra was able to detect over 1,900 cases. For the same period, the state of Sikkim carried out the minimum number of tests with zero cases detected.

What do people think about COVID-19 in India?

According to an online survey in February 2020, when the respondents were asked about their opinion on the issue of coronavirus, over 70 percent of the participants showed belief in staying alert and taking precautions. However, 16 percent of participants believed that the virus will not have a major influence on the country. To learn how people from different age groups are dealing with the fear of catching the virus, another survey was conducted in March 2020. It was discovered that the millennials were the most scared of contracting the virus. On the other hand, baby boomers showed minimum fear.

Impact of COVID-19 on India’s economy

The coronavirus has influenced the Indian economy in many ways. China has a major share in India’s import and export market. Therefore, any strain on the Chinese economy directly shows its effect on India too. This is true for all major economies of the world. Apart from this, the internal trade in the country has also taken a huge hit due to a series of lockdowns. In April 2020, the overall cost of a complete lockdown in India was estimated at around 26 billion U.S. dollars. India’s gross domestic product (GDP) growth in the second quarter of 2020 was estimated to show a negative growth of nine percent. This was a huge decline as compared to the last quarter in which positive growth was observed.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Analysis of ‘Covid_cases_in_India_1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/luvharishkhati/covid-cases-in-india-1 on 30 September 2021.

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

Hello all, this notebook consists of the patients suffering from corona virus from various states of India. This pandemic started from Kerala and it spread all over. If you will try to analyze the dataset, you will come to know that Maharashtra state have large number of positive results, also the recovery rate is high over there. This notebook clearly categorizes the positive result, death rates and the recovery rates of different states. Data visualization is done here which makes the case study more attractive and informative.

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

Context

Coronavirus is a family of viruses that can cause illness, which can vary from common cold and cough to sometimes more severe disease. SARS-CoV-2 (n-coronavirus) is the new virus of the coronavirus family, which first discovered in 2019, which has not been identified in humans before. It is a contiguous virus which started from Wuhan in December 2019. Which later declared as Pandemic by WHO due to high rate spreads throughout the world. Currently (on date 27 March 2020), this leads to a total of 24K+ Deaths across the globe, including 16K+ deaths alone in Europe.Pandemic is spreading all over the world; it becomes more important to understand about this spread.

The number of new cases are increasing day by day around the world. This dataset has information from the states and union territories of India at daily level.

State Wise data fetched from Ministry of Health & Family Welfare ICMR Testing Data comes from Indian Council of Medical Research

Content

COVID-19 cases at daily level is present in covid_19_india.csv file

COVID-19 State and Union Territory data with latitude and longitude is present in state_wise_data.csv

COVID-19 cases at daily level is present in data_wise_data.csv and perday_new_cases.csv file

Number of COVID-19 tests and positive cases at daily level in ICMR_Testing_Data.csv file

Acknowledgements

Thanks to Ministry of Health & Family Welfare for making the data available to general public.

This work is highly inspired from few other kaggle kernels , github sources and other data science resources. Any traces of replications, which may appear , is purely co-incidental. Due respect & credit to all my fellow kagglers.

Inspiration

Together we can do this. Help the world to make a better place and with this fight against COVID-19.

About

This dataset contains latest Covid-19 India state-wise data as on September 12, 2023. 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
9. Population - Population of State/UT

Source

Covid Data : https://www.mygov.in/covid-19 Population Data : https://www.indiacensus.net/

Other Updated Covid Datasets

https://www.kaggle.com/anandhuh/datasets Please appreciate the effort with an upvote 👍

Thank You

As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.