Current (2012) ADOD and General population data along with projections for 2020 and 2030 for San Diego county
sdcounty.ca.gov-adod-2012-san-diego-county-1
Resources
- adod-prevalence. Table 1. Estimates of Prevalence of Alzheimer’s Disease and Other Dementias by Subregional Area, 55 Years and Over, San Diego County, 2012 - 2030
- hospital-discharge. Table 2. Number of Emergency Department or Hospital Discharged Patients with Any Mention of Alzheimer’s Disease and Other Dementias by Subregional Area, 55 Years and Over, San Diego County, 2012 - 2030
- elder-population-2012. Table 3. 2012 Population by Age Group and Subregional Area, 55 Years and Over, San Diego County
- elder-population-2020. Table 4. 2020 Population Projections by Age Group and Subregional Area, 55 Years and Over, San Diego County
- elder-population-2030. Table 5. 2030 Population Projections by Age Group and Subregional Area, 55 Years and Over, San Diego County
Documentation
Documentation Links
- http://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_health_statistics/reports.html
- docs/sd-county-hhsa-adod-packet-upates.pdfUpdates to the SD HHSA ADOD profiles in the county. All data is extracted from this document
Contacts
- Origin
sdcounty.ca.gov, County of San Diego Health and Human Services Agency
- Creator
Lesie Ray, County of San Diego Health and Human Services Agency
- Wrangler
Rashmi Keshava Iyengar, San Diego Regional Data Library
- Wrangler
Packages
- xlsx https://library-metatab-org.s3.amazonaws.com/sdcounty.ca.gov-adod-2012-san-diego-county-1.xlsx
- zip https://library-metatab-org.s3.amazonaws.com/sdcounty.ca.gov-adod-2012-san-diego-county-1.zip
- csv https://library-metatab-org.s3.amazonaws.com/sdcounty.ca.gov-adod-2012-san-diego-county-1.csv
Accessing Packages in Metapack
import metapack as mp
# ZIP Package
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/sdcounty.ca.gov-adod-2012-san-diego-county-1.zip')
# CSV Package
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/sdcounty.ca.gov-adod-2012-san-diego-county-1.csv')
resource = pkg.resource('resource_name') # Get a resource
df = resource.dataframe() # Create a pandas Dataframe
gdf = resource.geoframe() # Create a GeoPandas GeoDataFrame
Last Modified