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Estimates of the population that is sick with COVID-19 in India

(See for the description of the estimators.)

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Estimates of the population that is sick with COVID-19 in each state of India

These estimates are obtained from the UMD Survey Data (, in particular from the COVID-19 World Symptoms Survey Microdata ( as follows.

  • UMD CLI: Ratio of responses that have reported COVID-like illness (CLI). COVID-like illness: fever, along with cough, shortness of breath, or difficulty breathing.
  • UMD CLI Indirect: Ratio of reported cases with CLI symptoms via indirect reporting. These are the cases reported by answering YES to the question (1) “Do you personally know anyone in your local community who is sick with a fever and either a cough or difficulty breathing?” and answering the question (2) “How many people do you know with these symptoms?” The ratio is obtained by dividing the number of cases by the number of responses multiplied by the estimated average “reach” (see
  • UMD anosmia: Ratio of YES resposes to the question “In the last 24 hours, have you had any of the following? Loss of smell or taste.” (This estimator is not currently shown in the plots. Can be found in

(The raw data is available in

IN Andaman and Nicobar 14days

IN Andhra Pradesh 14days

IN Arunachal Pradesh 14days

IN Assam 14days

IN Bihar 14days

IN Chandigarh 14days

IN Chhattisgarh 14days

IN Dadra and Nagar Haveli 14days

IN Daman and Diu 14days

IN Goa 14days

IN Gujarat 14days

IN Haryana 14days

IN Himachal Pradesh 14days

IN Jammu and Kashmir 14days

IN Jharkhand 14days

IN Karnataka 14days

IN Kerala 14days

IN Ladakh 14days

IN Lakshadweep 14days

IN Madhya Pradesh 14days

IN Maharashtra 14days

IN Manipur 14days

IN Meghalaya 14days

IN Mizoram 14days

IN NCT of Delhi 14days

IN Nagaland 14days

IN Odisha 14days

IN Puducherry 14days

IN Punjab 14days

IN Rajasthan 14days

IN Sikkim 14days

IN Tamil Nadu 14days

IN Telangana 14days

IN Tripura 14days

IN Uttar Pradesh 14days

IN Uttarakhand 14days

IN West Bengal 14days

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