U.S. state-level data on excess healthcare spending caused by cigarette smoking among adults aged 19 and older. The dataset, sourced from data.cdc.gov, includes smoking-attributable expenditures (SAEs) by type of service and was last updated in August 2023. It contains columns for geographic location, expenditure values, and metadata on topics and measures.
Use Cases
- Analyze geographic disparities in smoking-attributable costs using LocationDesc, LocationAbbr, and Data_Value.
- Compare expenditure types across years using MeasureDesc, Year, and SubMeasureID.
- Map healthcare cost burdens by state using GeoLocation (state) and Data_Value_Unit.
- Filter and explore specific health topics related to smoking using TopicDesc and Topic ID.
Strengths
- Includes data for a 5-year period (2005-2009).
- Contains detailed geographic columns like GeoLocation (state), GeoLocation (zip), and LocationDesc.
- Offers multiple export formats including CSV, JSON, XML, and RDF.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- data.cdc.gov
- Time Range
- 2005-2009
- Freshness
- Last updated 2023-08-25 14:31:42; freshness should be verified.
- Geography
- United States (state and zip code level)