ARCHIVED - Sudden Infant Death Syndrome (SIDS), VRBIS Dataset
internal-sandiegocounty.data.socrata.com | Last Updated 25 Apr 2023This dataset is no longer updated as of April 2023. Basic Metadata Note: The Sudden Infant Death Syndrome (SIDS) Rate is infant deaths (under one year of age) due to SIDS per 1,000 live births, by geography. Data set includes registered deaths only. Numerator represents infant's race/ethnicity. Denominator represents mother's race/ethnicity. **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. Sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System, 2016. Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019. Codes: ICD‐10 Mortality code R95. 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_10.2.19.xlsx Interpretation: "There were 5 SIDS deaths per 1,000 live births in Geography X".
This dataset has the following 26 columns:
Column Name | API Column Name | Data Type | Sample Values |
---|---|---|---|
CONDITION | condition | text | SIDS, VRBIS view top 100 |
Year | year | number | 2011 2012 2013 2014 2015 view top 100 |
Geography | geography | text | Alpine Anza-Borrego Springs Carlsbad Central Region Central San Diego view top 100 |
GeoType | geotype | text | SRA Municipal Region SupervisorDistrict NA view top 100 |
GeoName | geoname | text | VISTA EL CAJON POWAY SANTEE NATIONAL CITY view top 100 |
GeoID | geoid | number | 4 5 1 3 2 view top 100 |
Region | region | text | NA EAST NORTH INLAND NORTH CENTRAL NORTH COASTAL view top 100 |
District | district | text | NA Supervisorial District 2 Supervisorial District 5 Supervisorial District 3 Supervisorial District 4 view top 100 |
Total_Infant | total_infant | number | 5 8 9 19 7 view top 100 |
Rate_Total_Infant | rate_total_infant | number | 0.59 0.44 0.72 0.43 0.60 view top 100 |
Male_Infant | male_infant | number | 8 5 9 6 11 view top 100 |
Rate_Male_Infant | rate_male_infant | number | 0.36 0.40 0.50 0.55 0.70 view top 100 |
Female_Infant | female_infant | number | 5 10 6 7 8 view top 100 |
Rate_Female_Infant | rate_female_infant | number | 0.23 0.34 0.37 0.46 0.47 view top 100 |
White_Infant | white_infant | number | 5 6 7 view top 100 |
Rate_White_Infant | rate_white_infant | number | 0.32 0.33 0.39 0.46 2.07 view top 100 |
Black_Infant | black_infant | number | 5 view top 100 |
Rate_Black_Infant | rate_black_infant | number | 2.79 view top 100 |
Hisp_Infant | hisp_infant | number | 5 6 8 9 view top 100 |
Rate_Hisp_Infant | rate_hisp_infant | number | 0.27 0.28 0.33 0.35 0.43 view top 100 |
API_Infant | api_infant | number | view top 100 |
Rate_API_Infant | rate_api_infant | number | view top 100 |
AIAN_Infant | aian_infant | number | view top 100 |
Rate_AIAN_Infant | rate_aian_infant | number | view top 100 |
Other_notAIAN_Infant | other_notaian_infant | number | view top 100 |
Rate_Other_notAIAN_Infant | rate_other_notaian_infant | number | view top 100 |