Readme
Updated 6 days ago
‧ Indexed 4 hours ago
COVID-19 Aggregate Hospitalizations Current Weekly County Health
“Note: Beginning 7/13/2022, the hospitals are no longer reporting data on airborne isolation beds resulting in null values being displayed for the airborne isolation bed metrics.”
This dataset contains aggregate hospitalization data related to COVID-19 patient which includes availability of ICU beds, patients on ventilators, ventilators in use, and total patients hospitalized data at the state and county level for Pennsylvania residents.
Data will be updated between 11:30 am to 1:30pm each Wednesday.
Columns
| Name | Socrata field name | Column name in sgr mount | Data type | Description |
|---|---|---|---|---|
| 14-day average Pediatric beds available | ped_avail_mean | ped_avail_mean | Number | Pediatric beds available, 14-day average |
| COVID-ICU | covid_icu | covid_icu | Number | COVID Patients in Intensive Care Unit (ICU). |
| Pediatric ICU Beds Available | pic_avail | pic_avail | Number | Pediatrics ICU beds available |
| 14-day average Pediatric ICU beds available | pic_avail_mean | pic_avail_mean | Number | Pediatric ICU beds available, 14-day average |
| Georeference Latitude & Longitude | georeference_latitude__longitude | georeference_latitude__longitude | Point | Georeferenced column for use in creating mapping visualizations with both a generic latitude and longitude of the county |
| County | county | county | Text | County, region, or state name |
| Pediatric ICU beds, percent available | pic_percent | pic_percent | Number | Pediatric ICU beds, percent available |
| 14-day average Pediatric ICU beds total | pic_total_mean | pic_total_mean | Number | Pediatric ICU beds total, 14-day average |
| County FIPS | county_fips | county_fips | Text | This is the 5-digit Federal Information Processing Standard (FIPS) code that designate the State association. Each State has its own 2-digit number and each County within the state has its own 3-digit number which are combined into a 5-digit number to uniquely identify every US county. For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.). Information gathered from census data - https://www.census.gov/geo/reference/codes/cou.html |
| Longitude | longitude | longitude | Text | This is a longitude generic point within the county to help create map visualizations |
| Adult ICU Beds Total | icu_total | icu_total | Number | Adult ICU beds total |
| 14-day average Adult ICU beds available | icu_avail_mean | icu_avail_mean | Number | Adult ICU beds available, 14-day average |
| 14-day average COVID-19 patients on ventilators | covid_vents_mean | covid_vents_mean | Number | COVID-19 patients on ventilators, 14-day average |
| 14-day average Medical/surgical beds total | med_total_mean | med_total_mean | Number | Medical/surgical beds total, 14-day average |
| Adult ICU beds, percent available | icu_percent | icu_percent | Number | Adult ICU beds, percent available |
| Date of data | date | date | Calendar date | Date of data, always 12:00 UTC |
| 14-day average Medical/surgical beds available | med_avail_mean | med_avail_mean | Number | Medical/surgical beds available, 14-day average |
| COVID-19 Patients on Ventilators | covid_vents | covid_vents | Number | COVID-19 patients on ventilators |
| Total Ventilators in use | vents_use | vents_use | Number | Total ventilators in use |
| Pediatric beds, percent available | ped_percent | ped_percent | Number | Pediatric beds, percent available |
| 14-day average Pediatric beds total | ped_total_mean | ped_total_mean | Number | Pediatric beds total, 14-day average |
| Total Ventilators | vents | vents | Number | Total ventilators |
| COVID-19 Patients Hospitalized | covid_patients | covid_patients | Number | COVID-19 patients hospitalized |
| Pediatric Beds Available | ped_avail | ped_avail | Number | Pediatrics beds available |
| Medical/surgical beds, percent available | med_percent | med_percent | Number | Medical/surgical beds, percent available |
| 14-day average Adult ICU beds total | icu_total_mean | icu_total_mean | Number | Adult ICU beds total, 14-day average |
| 14-day average Total ventilators | vents_mean | vents_mean | Number | Total ventilators, 14-day average |
| 14-day average Total ventilators in use | vents_use_mean | vents_use_mean | Number | Total ventilators in use, 14-day average |
| Medical/Surgical Beds Available | med_avail | med_avail | Number | Medical/surgical beds available |
| Pediatric Beds Total | ped_total | ped_total | Number | Pediatrics beds total |
| Latitude | latitude | latitude | Text | This is a latitude generic point within the county to help create map visualizations |
| Pediatric ICU Beds Total | pic_total | pic_total | Number | Pediatrics ICU beds total |
| Pennsylvania County Boundaries | :@computed_region_nmsq_hqvv | :@computed_region_nmsq_hqvv | Number | This column was automatically created in order to record in what polygon from the dataset 'Pennsylvania County Boundaries' (nmsq-hqvv) the point in column 'georeference_latitude__longitude' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pa Senatorial Districts (2020-01) | :@computed_region_d3gw_znnf | :@computed_region_d3gw_znnf | Number | This column was automatically created in order to record in what polygon from the dataset 'Pa Senatorial Districts (2020-01)' (d3gw-znnf) the point in column 'georeference_latitude__longitude' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| COVID-ICU Mean | covid_icu_mean | covid_icu_mean | Number | The mean for COVID Patients in Intensive Care Unit (ICU), 14-day average. |
| Municipality Boundary | :@computed_region_amqz_jbr4 | :@computed_region_amqz_jbr4 | Number | This column was automatically created in order to record in what polygon from the dataset 'Municipality Boundary' (amqz-jbr4) the point in column 'georeference_latitude__longitude' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pa House Districts (2020-01) | :@computed_region_r6rf_p9et | :@computed_region_r6rf_p9et | Number | This column was automatically created in order to record in what polygon from the dataset 'Pa House Districts (2020-01)' (r6rf-p9et) the point in column 'georeference_latitude__longitude' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pa School Districts (2019-06) | :@computed_region_rayf_jjgk | :@computed_region_rayf_jjgk | Number | This column was automatically created in order to record in what polygon from the dataset 'Pa School Districts (2019-06)' (rayf-jjgk) the point in column 'georeference_latitude__longitude' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| 14-day average COVID-19 patients hospitalized | covid_patients_mean | covid_patients_mean | Number | COVID-19 patients hospitalized, 14-day average |
| Adult ICU Beds Available | icu_avail | icu_avail | Number | Adult ICU beds available |
| Medical/Surgical Beds Total | med_total | med_total | Number | Medical/surgical beds total |
Upstream Metadata