/data

Primary LanguagePythonMIT LicenseMIT

COVID19-India API

Announcement

We have stopped capturing testing data at a district level. Please check the status of the API endpoints below.

  1. As of 13th August our API repository and api.covid19india.org have been deprecated. We redirect api.covid19india.org to data.covid19india.org
  2. As of 13th August, all json endpoints except v4 endpoints have been deprecated. Please use the csv endpoints or refer to v4 endpoints

Files available

  • Aggregated sheets provide aggregated data at the district/state levels in csv format.
  • V4 json endpoints. These are the json apis that are used by the website to show all the statistics on the site. These can be used by developers and analysts who have knowledge of json parsing (recommended approach). All our v4 endpoints are actively developed and in use since this serves the frontend view Documentation for the same.
  • Latest data from the google sheet (10-20 minutes delayed) is available through the latest end-point. These are present under the raw files section below. (Not recommended since the number of files is huge and there is no additional information present in these as compared to the above mentioned endpoints.)

V4 JSON endpoints

Status Link to API Description
💚 https://data.covid19india.org/v4/min/timeseries.min.json Daily numbers across C,R,D and Tested per state (historical data).
💚 https://data.covid19india.org/v4/min/data.min.json Current day numbers across districts and states.

Note: Please consider using the above endpoints for all your data needs. All the data we show on the website is fuelled by the above endpoints.

Aggregated Sheets (CSV)

Status Sheet Name Link to CSV Description
💚 case_time_series https://data.covid19india.org/csv/latest/case_time_series.csv India level timeseries for Confirmed, Recovered and Deceased cases
💚 states https://data.covid19india.org/csv/latest/states.csv Statewise timeseries of Confirmed, Recovered and Deceased numbers.
💚 districts https://data.covid19india.org/csv/latest/districts.csv Districtwise timeseries of Confirmed, Recovered and Deceased numbers.
💚 state_wise_daily https://data.covid19india.org/csv/latest/state_wise_daily.csv Statewise per day delta of Confirmed, Recovered and Deceased numbers.
💚 state_wise https://data.covid19india.org/csv/latest/state_wise.csv Statewise cumulative numbers till date.
💚 district_wise https://data.covid19india.org/csv/latest/district_wise.csv Districtwise Cumulative numbers till date.
💚 statewise_tested_numbers_data https://data.covid19india.org/csv/latest/statewise_tested_numbers_data.csv Number of tests conducted in each state, ventilators ,hospital bed occupany reported in state bulletins
💚 tested_numbers_icmr_data https://data.covid19india.org/csv/latest/tested_numbers_icmr_data.csv Number of tests reported by ICMR
💚 icmr_labs_statewise https://data.covid19india.org/csv/latest/icmr_labs_statewise.csv Number of Labs in each state as per ICMR
💚 sources_list https://data.covid19india.org/csv/latest/sources_list.csv List of sources that we are using.
💚 rtpcr_samples_collected http://data.covid19india.org/csv/latest/icmr_rtpcr_tests_daily.csv Number of RTPCR samples collected statewise in ICMR Application
💚 vaccine_doses_administered_statewise http://data.covid19india.org/csv/latest/vaccine_doses_statewise_v2.csv Number of vaccine doses administered statewise - Collected from MOHFW daily bulletin
💚 cowin_vaccine_data_statewise http://data.covid19india.org/csv/latest/cowin_vaccine_data_statewise.csv Key data points from CoWin database at a state level
💚 cowin_vaccine_data_districtwise http://data.covid19india.org/csv/latest/cowin_vaccine_data_districtwise.csv Key data points from CoWin database at a district level

Latest data from the google sheet (10-20 minutes delayed) is available through the latest end-point. These endpoints should be avoided unless none of the above endpoints work for you.

Raw Data

Status Sheet Name Link to CSV Description
💚 raw_data1 https://data.covid19india.org/csv/latest/raw_data1.csv Till Apr 19th
💚 raw_data2 https://data.covid19india.org/csv/latest/raw_data2.csv Apr 20th to Apr 26th
💚 raw_data3 https://data.covid19india.org/csv/latest/raw_data3.csv Apr 27th to May 9th
💚 raw_data4 https://data.covid19india.org/csv/latest/raw_data4.csv May 10th to May 23rd
💚 raw_data5 https://data.covid19india.org/csv/latest/raw_data5.csv May 24th to Jun 4th
💚 raw_data6 https://data.covid19india.org/csv/latest/raw_data6.csv Jun 05th to Jun 19th
💚 raw_data7 https://data.covid19india.org/csv/latest/raw_data7.csv Jun 20th to Jun 30th
💚 raw_data8 https://data.covid19india.org/csv/latest/raw_data8.csv Jul 01st to Jul 7th
💚 raw_data9 https://data.covid19india.org/csv/latest/raw_data9.csv Jul 08th to Jul 13th
💚 raw_data10 https://data.covid19india.org/csv/latest/raw_data10.csv Jul 14th to Jul 17th
💚 raw_data11 https://data.covid19india.org/csv/latest/raw_data11.csv Jul 18th to Jul 22nd
💚 raw_data12 https://data.covid19india.org/csv/latest/raw_data12.csv Jul 23th to Aug 06th
💚 raw_data13 https://data.covid19india.org/csv/latest/raw_data13.csv Aug 07th to Aug 21st
💚 raw_data14 https://data.covid19india.org/csv/latest/raw_data14.csv Aug 22nd to Sep 05th
💚 raw_data15 https://data.covid19india.org/csv/latest/raw_data15.csv Sep 06th to Sep 21st
💚 raw_data16 https://data.covid19india.org/csv/latest/raw_data16.csv Sep 22nd to Oct 08th
💚 raw_data17 https://data.covid19india.org/csv/latest/raw_data17.csv Oct 09th to Oct 26th
💚 raw_data18 https://data.covid19india.org/csv/latest/raw_data18.csv Oct 27th to Nov 12th
💚 raw_data19 https://data.covid19india.org/csv/latest/raw_data19.csv Nov 13th to Nov 30th
💚 raw_data20 https://data.covid19india.org/csv/latest/raw_data20.csv Dec 01st to Dec 19th
💚 raw_data21 https://data.covid19india.org/csv/latest/raw_data21.csv Dec 20th to Jan 08th
💚 raw_data22 https://data.covid19india.org/csv/latest/raw_data22.csv Jan 09th to Jan 31st
💚 raw_data23 https://data.covid19india.org/csv/latest/raw_data23.csv Feb 01st to Feb 27st
💚 raw_data24 https://data.covid19india.org/csv/latest/raw_data24.csv Feb 28th to Mar 31st
💚 raw_data25 https://data.covid19india.org/csv/latest/raw_data25.csv Apr 01st to Apr 20th
💚 raw_data26 https://data.covid19india.org/csv/latest/raw_data26.csv Apr 21st to May 04th
💚 raw_data27 https://data.covid19india.org/csv/latest/raw_data27.csv May 05th to May 17th
💚 raw_data28 https://data.covid19india.org/csv/latest/raw_data28.csv May 18th to Jun 02nd
💚 raw_data29 https://data.covid19india.org/csv/latest/raw_data29.csv Jun 03rd to Jun 19th
💚 raw_data30 https://data.covid19india.org/csv/latest/raw_data30.csv Jun 20th to Jul 06th
💚 raw_data31 https://api.covid19india.org/csv/latest/raw_data31.csv Jul 07th to Jul 27th
💚 raw_data32 https://api.covid19india.org/csv/latest/raw_data32.csv Jul 28th to Aug 07th
💚 raw_data33 https://api.covid19india.org/csv/latest/raw_data33.csv Aug 08th to Sep 12th
💚 raw_data34 https://api.covid19india.org/csv/latest/raw_data34.csv Sep 13th to Oct 09th
💚 raw_data35 https://api.covid19india.org/csv/latest/raw_data35.csv Oct 10th onwards

Note

  • Avoid using raw sheets. The only reason to use raw sheets would be to refer to demographics (rarely available) or to sources of numbers
  • Always try to use the aggregated numbers above as they have been treated for discrepancies

Contributing

  • If you notice issues, have questions or want to suggest enhancements, please raise an issue in the repo.

Quick Links

A more detailed note of the columns present in the data may be found in the json documentation

....................................................