COVID_HospitalBeds_CountyDemographics_NursingHomes

Data provided via a collaboration between The Accountability Project and Big Local News. This project provides and joins datasets pertinent to the COVID-19 pandemic: hospital location and number of beds by type, county-level population estimates by age (which can be linked to hospital data) and nursing home location and capacity. See README for additional information.

Data source: Big Local News · About: big-local-datasette

Custom SQL query returning 1 row (hide)

select rowid, hospital_name, address, city, state, zip_code, county_name, phone_number, hospital_type, hospital_ownership, emergency_services, lat, lng, geocode_flag, geocode_accuracy, countyfips, statefips, statecountyfips, cbsacode, csatitle, centraloutlyingcounty, countyequivalent, hosp_lookup_url, PRVDR_NUM, RPT_REC_NUM, filed_date, fy_end_date, acute_beds, icu_beds, coronary_beds, burn_beds, surg_icu_beds, oth_spec_beds, subtotal_acute_beds, subprovider_ipf_beds, subprovider_irf_beds, subprovider_oth_beds, skilled_nursing_beds, nursing_fac_beds, oth_longterm_beds, hospice_beds, all_beds from hospital_data where "csatitle" = :p0 and date("filed_date") = :p1 order by rowid limit 101

Query parameters

This data as json, copyable, CSV

rowid	hospital_name	address	city	state	zip_code	county_name	phone_number	hospital_type	hospital_ownership	emergency_services	lat	lng	geocode_flag	geocode_accuracy	countyfips	statefips	statecountyfips	cbsacode	csatitle	centraloutlyingcounty	countyequivalent	hosp_lookup_url	PRVDR_NUM	RPT_REC_NUM	filed_date	fy_end_date	acute_beds	icu_beds	coronary_beds	burn_beds	surg_icu_beds	oth_spec_beds	subtotal_acute_beds	subprovider_ipf_beds	subprovider_irf_beds	subprovider_oth_beds	skilled_nursing_beds	nursing_fac_beds	oth_longterm_beds	hospice_beds	all_beds
1235	LORETTO HOSPITAL	645 SOUTH CENTRAL AVE	CHICAGO	IL	60644	COOK	(773) 626-4300	Acute Care Hospitals	Voluntary non-profit - Other	TRUE	41.8720420	-87.7644430	0		31	17	17031	16980	Chicago-Naperville, IL-IN-WI	Central	Cook County	https://data.medicare.gov/resource/xubh-q36u/row-g4dy-29n9_g2wy	140083	659947	2019-11-22	2019-06-30	110	12					122								122