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

Context

This dataset provides a timeseries of COVID-19 reported cases including cured/migrated information of states of India. The data is available from 30th January 2020 onwards.

Content

The data is in CSV format and has 5 columns.

Date: Date in DD-MM-YYYY format State: Name if the state Total Confirmed Cases: Total number of confirmed cases as on Date Cured/Discharged/Migrated: Total number of cured, discharged or migrated cases as on Date Death: Total number of deaths as on Date

All figures are cumulative.

Acknowledgements

This dataset is created and maintained using the data available in public domain. The state-wise COVID-19 cases in India are published by Ministry of Health and Family Welfare, Government of India on their website https://www.mohfw.gov.in/. A snapshot of the data on the above website is taken at 11PM IST(UTC+05.30) daily and appended to this dataset. Part of the data for initial period is taken from India Today COVID-19 Tracker at https://www.indiatoday.in/india/story/coronavirus-cases-in-india-covid19-states-cities-affected-1653852-2020-03-09.

Banner Photo by Martin Sanchez on Unsplash

This dataset is a comprehensive collection of data related to the spread of COVID-19 in India. It captures the number of confirmed cases and deaths in each state and union territory of India from the first reported case in January 2020 to the present day. The dataset was created to provide an understanding of the extent of the COVID-19 pandemic in India. It is important because it allows researchers, policy-makers and citizens to gain insights into the various factors that may be driving the spread of the virus in different states and regions of India. It also provides valuable information for researchers trying to understand the dynamics of the pandemic in India.

This dataset is important because it allows us to understand the current situation of the pandemic in India and to monitor the progress of the virus in each state. It can also be used to measure the effectiveness of the strategies implemented by the Indian Government to contain the spread of the virus. The dataset is applicable to anyone interested in understanding the dynamics of the COVID-19 pandemic in India, such as policy-makers, researchers, citizens, NGOs and media. It can be used to gain insights into the current situation and to track the progress of the virus in each state. It can also be used to monitor the effectiveness of the strategies implemented by the Indian Government to contain the spread of the virus.

Overall, this dataset provides a comprehensive view of the COVID-19 pandemic in India. It is updated on a daily basis, and provides essential information that is useful for researchers, policy-makers and citizens. It is an invaluable resource that can be used to understand the dynamics of the virus and to monitor the progress of the virus in each state.

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

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.

India COVID-19: As on Date: Total Number of Active Cases data was reported at 3.000 Case in 02 Dec 2025. This stayed constant from the previous number of 3.000 Case for 01 Dec 2025. India COVID-19: As on Date: Total Number of Active Cases data is updated daily, averaging 111,252.000 Case from Mar 2020 (Median) to 02 Dec 2025, with 1770 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.HLF: Disease Outbreaks: Coronavirus 2019: MOHFW.

Context

The COVID-19 pandemic in India is part of the worldwide pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first case of COVID-19 in India, which originated from China, was reported on 30 January 2020.

Here is the Data of Covid-19 patients in India up till today.

Acknowledgements

https://www.kaggle.com/parulpandey/coronavirus-cases-in-india? http://projects.datameet.org/covid19/ https://www.mohfw.gov.in/ Pic by https://www.pexels.com/@cottonbro

Inspiration

• Time Series Analysis and Forecasting by this data.
• Find ways to deal with this pandemic situation.

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.

COVID-19: As on Date: Number of Confirmed Cases: Tamil Nadu data was reported at 3,612,230.000 Case in 05 May 2025. This records an increase from the previous number of 3,612,216.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Confirmed Cases: Tamil Nadu data is updated daily, averaging 3,454,652.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 3,612,230.000 Case in 05 May 2025 and a record low of 1.000 Case in 18 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Tamil Nadu 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.

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.

COVID-19: As on Date: Number of Active Cases: Tamil Nadu data was reported at 14.000 Case in 05 May 2025. This records a decrease from the previous number of 16.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Active Cases: Tamil Nadu data is updated daily, averaging 3,626.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 313,048.000 Case in 28 May 2021 and a record low of 0.000 Case in 21 Apr 2025. COVID-19: As on Date: Number of Active Cases: Tamil Nadu 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 dataset consists of total cases, new cases, new death, total test per day, etc. This can be used to predict future covid cases in India.

Please give credit to this dataset if you download it.

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.

Data is from 1st March 2020 to 30th March 2022.

Data Includes 'total_cases', 'new_cases', 'new_cases_smoothed', 'total_deaths', 'new_deaths', 'new_deaths_smoothed', 'total_cases_per_million', 'new_cases_per_million', 'new_cases_smoothed_per_million', 'total_deaths_per_million', 'new_deaths_per_million', 'new_deaths_smoothed_per_million', 'reproduction_rate', 'icu_patients', 'icu_patients_per_million', 'hosp_patients', 'hosp_patients_per_million', 'weekly_icu_admissions', 'weekly_icu_admissions_per_million', 'weekly_hosp_admissions', 'weekly_hosp_admissions_per_million', 'total_tests', 'new_tests', 'total_tests_per_thousand', 'new_tests_per_thousand', 'new_tests_smoothed', 'new_tests_smoothed_per_thousand', 'positive_rate', 'tests_per_case', 'tests_units', 'total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated', 'total_boosters', 'new_vaccinations', 'new_vaccinations_smoothed', 'total_vaccinations_per_hundred', 'people_vaccinated_per_hundred', 'people_fully_vaccinated_per_hundred', 'total_boosters_per_hundred', 'new_vaccinations_smoothed_per_million', 'new_people_vaccinated_smoothed', 'new_people_vaccinated_smoothed_per_hundred', 'stringency_index', 'population', 'population_density', 'median_age', 'aged_65_older', 'aged_70_older', 'gdp_per_capita', 'extreme_poverty', 'cardiovasc_death_rate', 'diabetes_prevalence', 'female_smokers', 'male_smokers', 'handwashing_facilities', 'hospital_beds_per_thousand', 'life_expectancy', 'human_development_index', 'excess_mortality_cumulative_absolute', 'excess_mortality_cumulative', 'excess_mortality', 'excess_mortality_cumulative_per_million' as the columns.

Context

India's current COVID-19 surge is an unprecedented public health crisis. With exponential growth in the number of daily COVID-19 cases since March, 2021, India reported more than 400 000 new cases daily on May 1, 2021.1 This number is likely to be an underestimate of the true burden of COVID-19 cases, given reports of backlogs of test results, poor access to testing, and many people not getting tested due to fear and stigma.2, 3 Without mitigation, estimates suggest India could reach more than 1 million COVID-19 cases per day with over 1 million cumulative COVID-19 deaths by Aug 1, 2021.4

Content

Columns that are here will help will to get a detailed condition of Indian states' covid situation. One more column is added displaying the number of reported cases, deaths and recovered case on a particular date i.e. of 09-006-2021.

Context

Data is extremely valuable; it can be considered a key to discovering trends and predicting the future. Studying already existent data can help provide a certain level of preparedness for any situation that may come. The aim is to obtain data of COVID-19 Statistics in India and compile it into a dataset, so that it can be used to visualize and analyze trends and patterns so as to prepare for the possibilities that may come. Presence of missing values allows its use for the study of imputation algorithms. It can also be used for building time-series models.

Acknowledgements

https://api.apify.com/v2/datasets/58a4VXwBBF0HtxuQa/items?format=json&clean=1 https://www.mohfw.gov.in/

COVID-19: As on Date: Number of Death: Andhra Pradesh data was reported at 14,733.000 Case in 05 May 2025. This stayed constant from the previous number of 14,733.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Death: Andhra Pradesh data is updated daily, averaging 14,730.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 14,733.000 Case in 05 May 2025 and a record low of 0.000 Case in 01 Apr 2020. COVID-19: As on Date: Number of Death: Andhra Pradesh 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.