The County of San Diego measures staffing in staff years. In concept, a staff year is one person working full-time for one year; it is equivalent to the hours per year a full-time employee is expected to work. A normal fiscal year equals 2,088 staff hours (occasionally 2,080 or 2,096 staff hours). Two workers, each working half that number of hours, together equal one staff year. County salaries and benefits are based on the number of staff years required to provide a service.

This table provides a list of currently operating Housing Facilities regulated by the County of San Diego Department of Environmental Health Food and Housing Division.

Capital Improvements Needs Assessment (CINA)

The County of San Diego measures staffing in staff years. In concept, a staff year is one person working full-time for one year; it is equivalent to the hours per year a full-time employee is expected to work. A normal fiscal year equals 2,088 staff hours (occasionally 2,080 or 2,096 staff hours). Two workers, each working half that number of hours, together equal one staff year. County salaries and benefits are based on the number of staff years required to provide a service.

Basic Metadata
*Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander.
***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2018.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook:
https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.18.xlsx

This visualization shows an annual view of cases by manner of death percentage. Demographic and location filters have been provided for additional insight.

This visualization includes an annual comparison of Accidental Drug-Medication deaths that show Non-Opioid related cases compared to Opioid and Fentanyl, defaulted to a 10 year view with cause of death and demographic filters available for additional insight.

This visualization provides an annual view of all accidental motor vehicle related deaths by manner sub-type with demographic and location filters available for additional insight.

This visualization provides an annual view of cases by age grouping, with cause of death and demographic filters available for additional insight.