This is the place to look for important information about how to use this dataset, so please expand this box and read on! This is the source data for some of the metrics available at https://www.chicago.gov/city/en/sites/covid-19/home/latest-data.html. For all datasets related to COVID-19, see https://data.cityofchicago.org/browse?limitTo=datasets&sortBy=alpha&tags=covid-19. Only Chicago residents are included based on the home ZIP Code, as provided by the medical provider, or the address, as provided by the Cook County Medical Examiner. Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted on the date the test specimen was collected. Deaths are those occurring among cases based on the day of death. Hospitalizations are based on the date of first hospitalization. Only one hospitalization is counted for each case. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation. Because of the nature of data reporting to CDPH, hospitalizations will be blank for recent dates They will fill in on later updates when the data are received, although, as for cases and deaths, may continue to be updated as further data are received. All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases, deaths, and hospitalizations, sources used, how cases, deaths and hospitalizations are associated to a specific date, and similar factors. Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office
This dataset has the following 58 columns:
Column Name | API Column Name | Data Type | Description | Sample Values |
---|---|---|---|---|
Date | lab_report_date | calendar_date | Case or death date. Blank indicates unknown date. Case dates indicate the date the test specimen was collected. Death dates are the date the death occurred. | 2020-03-01T00:00:00.000 2020-03-02T00:00:00.000 2020-03-03T00:00:00.000 2020-03-04T00:00:00.000 2020-03-05T00:00:00.000 view top 100 |
Cases - Total | cases_total | number | 45 48 96 173 176 view top 100 | |
Deaths - Total | deaths_total | number | 0 1 2 3 4 view top 100 | |
Hospitalizations - Total | hospitalizations_total | number | 25 7 19 18 28 view top 100 | |
Cases - Age 0-17 | cases_age_0_17 | number | 16 7 18 10 11 view top 100 | |
Cases - Age 18-29 | cases_age_18_29 | number | 10 13 7 12 16 view top 100 | |
Cases - Age 30-39 | cases_age_30_39 | number | 25 10 8 16 15 view top 100 | |
Cases - Age 40-49 | cases_age_40_49 | number | 7 5 16 6 23 view top 100 | |
Cases - Age 50-59 | cases_age_50_59 | number | 5 6 24 17 22 view top 100 | |
Cases - Age 60-69 | cases_age_60_69 | number | 5 21 15 17 26 view top 100 | |
Cases - Age 70-79 | cases_age_70_79 | number | 7 9 12 11 6 view top 100 | |
Cases - Age 80+ | cases_age_80_ | number | 4 6 5 3 2 view top 100 | |
Cases - Age Unknown | cases_age_unknown | number | 0 1 2 4 3 view top 100 | |
Cases - Female | cases_female | number | 78 184 113 52 18 view top 100 | |
Cases - Male | cases_male | number | 16 70 19 22 41 view top 100 | |
Cases - Unknown Gender | cases_unknown_gender | number | 0 1 2 3 4 view top 100 | |
Cases - Latinx | cases_latinx | number | 10 36 48 11 16 view top 100 | |
Cases - Asian Non-Latinx | cases_asian_non_latinx | number | 4 6 3 7 5 view top 100 | |
Cases - Black Non-Latinx | cases_black_non_latinx | number | 29 17 15 45 57 view top 100 | |
Cases - White Non-Latinx | cases_white_non_latinx | number | 48 12 36 43 32 view top 100 | |
Cases - Other Race Non-Latinx | cases_other_non_latinx | number | 5 6 10 4 9 view top 100 | |
Cases - Unknown Race/Ethnicity | cases_unknown_race_eth | number | 8 6 18 5 11 view top 100 | |
Deaths - Age 0-17 | deaths_0_17_yrs | number | 0 1 view top 100 | |
Deaths - Age 18-29 | deaths_18_29_yrs | number | 0 1 2 view top 100 | |
Deaths - Age 30-39 | deaths_30_39_yrs | number | 0 1 2 3 4 view top 100 | |
Deaths - Age 40-49 | deaths_40_49_yrs | number | 0 1 2 3 4 view top 100 | |
Deaths - Age 50-59 | deaths_50_59_yrs | number | 0 1 2 3 4 view top 100 | |
Deaths - Age 60-69 | deaths_60_69_yrs | number | 0 1 2 3 5 view top 100 | |
Deaths - Age 70-79 | deaths_70_79_yrs | number | 0 1 2 3 4 view top 100 | |
Deaths - Age 80+ | deaths_80_yrs | number | 0 1 2 3 4 view top 100 | |
Deaths - Age Unknown | deaths_unknown_age | number | 0 view top 100 | |
Deaths - Female | deaths_female | number | 0 1 2 3 4 view top 100 | |
Deaths - Male | deaths_male | number | 0 1 2 3 4 view top 100 | |
Deaths - Unknown Gender | deaths_unknown_gender | number | 0 view top 100 | |
Deaths - Latinx | deaths_latinx | number | 0 1 2 3 4 view top 100 | |
Deaths - Asian Non-Latinx | deaths_asian_non_latinx | number | 0 1 2 3 5 view top 100 | |
Deaths - Black Non-Latinx | deaths_black_non_latinx | number | 0 1 2 3 4 view top 100 | |
Deaths - White Non-Latinx | deaths_white_non_latinx | number | 0 1 2 3 4 view top 100 | |
Deaths - Other Race Non-Latinx | deaths_other_non_latinx | number | 0 1 2 view top 100 | |
Deaths - Unknown Race/Ethnicity | deaths_unknown_race_eth | number | 0 1 view top 100 | |
Hospitalizations - Age 0-17 | hospitalizations_age_0_17 | number | 0 1 2 3 4 view top 100 | |
Hospitalizations - Age 18-29 | hospitalizations_age_18_29 | number | 0 1 2 3 4 view top 100 | |
Hospitalizations - Age 30-39 | hospitalizations_age_30_39 | number | 1 2 0 3 4 view top 100 | |
Hospitalizations - Age 40-49 | hospitalizations_age_40_49 | number | 0 1 2 3 4 view top 100 | |
Hospitalizations - Age 50-59 | hospitalizations_age_50_59 | number | 1 2 3 0 4 view top 100 | |
Hospitalizations - Age 60-69 | hospitalizations_age_60_69 | number | 3 1 2 4 5 view top 100 | |
Hospitalizations - Age 70-79 | hospitalizations_age_70_79 | number | 3 2 4 1 5 view top 100 | |
Hospitalizations - Age 80+ | hospitalizations_age_80_ | number | 2 3 1 4 5 view top 100 | |
Hospitalizations - Age Unknown | hospitalizations_age_unknown | number | 0 1 view top 100 | |
Hospitalizations - Female | hospitalizations_female | number | 13 12 11 15 10 view top 100 | |
Hospitalizations - Male | hospitalizations_male | number | 4 10 6 9 8 view top 100 | |
Hospitalizations - Unknown Gender | hospitalizations_unknown_gender | number | 0 1 view top 100 | |
Hospitalizations - Latinx | hospitalizations_latinx | number | 2 3 5 4 6 view top 100 | |
Hospitalizations - Asian Non-Latinx | hospitalizations_asian_non_latinx | number | 0 1 2 3 4 view top 100 | |
Hospitalizations - Black Non-Latinx | hospitalizations_black_non_latinx | number | 10 4 6 3 5 view top 100 | |
Hospitalizations - White Non-Latinx | hospitalizations_white_non_latinx | number | 5 4 2 3 7 view top 100 | |
Hospitalizations - Other Race Non-Latinx | hospitalizations_other_race_non_latinx | number | 0 1 2 3 4 view top 100 | |
Hospitalizations - Unknown Race/Ethnicity | hospitalizations_unknown_race_ethnicity | number | 0 1 2 3 4 view top 100 |