Chicago

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Author
Jonathan Levy
Description
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
Category
Health & Human Services
Tags
covid-19, health, public health, death, ethnicity, race, gender, link to article present
Rating
Current value: 0 out of 5
Data Provided By
City of Chicago
Source Link
https://chicago.gov/coronavirus
License
See Terms of Use
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Size
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  • 760x646

  • 950x808

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The Socrata Open Data API (SODA) provides programmatic access to this dataset including the ability to filter, query, and aggregate data. For more more information, view the API docs for this dataset or visit our developer portal

API Endpoint:

Field Names:

Date
lab_report_date
Cases - Total
cases_total
Deaths - Total
deaths_total
Hospitalizations - Total
hospitalizations_total
Cases - Age 0-17
cases_age_0_17
Cases - Age 18-29
cases_age_18_29
Cases - Age 30-39
cases_age_30_39
Cases - Age 40-49
cases_age_40_49
Cases - Age 50-59
cases_age_50_59
Cases - Age 60-69
cases_age_60_69
Cases - Age 70-79
cases_age_70_79
Cases - Age 80+
cases_age_80_
Cases - Age Unknown
cases_age_unknown
Cases - Female
cases_female
Cases - Male
cases_male
Cases - Unknown Gender
cases_unknown_gender
Cases - Latinx
cases_latinx
Cases - Asian Non-Latinx
cases_asian_non_latinx
Cases - Black Non-Latinx
cases_black_non_latinx
Cases - White Non-Latinx
cases_white_non_latinx
Cases - Other Race Non-Latinx
cases_other_non_latinx
Cases - Unknown Race/Ethnicity
cases_unknown_race_eth
Deaths - Age 0-17
deaths_0_17_yrs
Deaths - Age 18-29
deaths_18_29_yrs
Deaths - Age 30-39
deaths_30_39_yrs
Deaths - Age 40-49
deaths_40_49_yrs
Deaths - Age 50-59
deaths_50_59_yrs
Deaths - Age 60-69
deaths_60_69_yrs
Deaths - Age 70-79
deaths_70_79_yrs
Deaths - Age 80+
deaths_80_yrs
Deaths - Age Unknown
deaths_unknown_age
Deaths - Female
deaths_female
Deaths - Male
deaths_male
Deaths - Unknown Gender
deaths_unknown_gender
Deaths - Latinx
deaths_latinx
Deaths - Asian Non-Latinx
deaths_asian_non_latinx
Deaths - Black Non-Latinx
deaths_black_non_latinx
Deaths - White Non-Latinx
deaths_white_non_latinx
Deaths - Other Race Non-Latinx
deaths_other_non_latinx
Deaths - Unknown Race/Ethnicity
deaths_unknown_race_eth
Hospitalizations - Age 0-17
hospitalizations_age_0_17
Hospitalizations - Age 18-29
hospitalizations_age_18_29
Hospitalizations - Age 30-39
hospitalizations_age_30_39
Hospitalizations - Age 40-49
hospitalizations_age_40_49
Hospitalizations - Age 50-59
hospitalizations_age_50_59
Hospitalizations - Age 60-69
hospitalizations_age_60_69
Hospitalizations - Age 70-79
hospitalizations_age_70_79
Hospitalizations - Age 80+
hospitalizations_age_80_
Hospitalizations - Age Unknown
hospitalizations_age_unknown
Hospitalizations - Female
hospitalizations_female
Hospitalizations - Male
hospitalizations_male
Hospitalizations - Unknown Gender
hospitalizations_unknown_gender
Hospitalizations - Latinx
hospitalizations_latinx
Hospitalizations - Asian Non-Latinx
hospitalizations_asian_non_latinx
Hospitalizations - Black Non-Latinx
hospitalizations_black_non_latinx
Hospitalizations - White Non-Latinx
hospitalizations_white_non_latinx
Hospitalizations - Other Race Non-Latinx
hospitalizations_other_race_non_latinx
Hospitalizations - Unknown Race/Ethnicity
hospitalizations_unknown_race_ethnicity

Use OData to open the dataset in tools like Excel or Tableau. This provides a direct connection to the data that can be refreshed on-demand within the connected application.

Socrata OData documentation

Tableau users should select the OData v2 endpoint option.

OData V4 Endpoint:

OData V2 Endpoint:

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