internal-sandiegocounty-data-socrata/2020-noncommunicable-chronic-diseases-cn4i-qb8f
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Updated over 2 years ago
Indexed 11 months ago

2020 Non-Communicable (Chronic) Diseases

Data by medical encounter for the following conditions by age, race/ethnicity, and gender:

Acute Myocardial Infarction (AMI)

Asthma

Bladder Cancer

Brain Cancer

Coronary Heart Disease (CHD)

Colorectal Cancer

Chronic Obstructive Pulmonary Disease (COPD)/Chronic Lower Respiratory Diseases

Diabetes

Female Breast Cancer

Female Reproductive Cancer

Heart Failure

Hyperlipidemia (High Blood Cholesterol)

Kidney Cancer

Leukemia

Liver Cancer

Lung Cancer

Lupus and Connective Tissue Disorders

Melanoma of the Skin

Non-Hodgkin's Lymphoma

Non-melanoma Skin Cancer

Overall Cancer

Overall Heart Disease

Overall Hypertensive Diseases

Pancreatic Cancer

Prostate Cancer

Stroke

Thyroid Cancer

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

Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRAs only.

*The COVID-19 pandemic was associated with increases in all-cause mortality. COVID-19 deaths have affected the patterns of mortality including those of Non-Communicable conditions.

Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS). California Department of Health Care Access and Information (HCAI), Emergency Department Database and Patient Discharge Database, 2020. SANDAG Population Estimates, 2020 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary.

Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, February 2023.

Querying over HTTP

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

curl https://data.splitgraph.com/sql/query/ddn \
    -H "Content-Type: application/json" \
    -d@-<<EOF
{"sql": "
    SELECT *
    FROM \"internal-sandiegocounty-data-socrata/2020-noncommunicable-chronic-diseases-cn4i-qb8f\".\"2020_noncommunicable_chronic_diseases\"
    LIMIT 100 
"}
EOF

See the Splitgraph documentation for more information.

 
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