Dataset

American Community Survey (ACS) โ€“ Vision and Eye Health Surveillance

cdc.thir-stei
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About

2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, sex, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024

Cite as: Centers for Disease Control and Prevention. American Community Survey (ACS) โ€“ Vision and Eye Health Surveillance. https://data.cdc.gov/d/thir-stei

Publisher
Centers for Disease Control and Prevention
Tier
Official
Covers
not stated
Places
United States
Updated
irregular
Last modified
2025-03-07
Units
not stated
License
Open Data Commons Attribution License 1.0
Method
https://www.cdc.gov/visionhealth/visionhealthdata/index.html

Columns

NameTypeDescription
numeratornumberThe actual number of patients in the dataset with the condition (n)
sample_sizenumberSample size used to calculate the data value
locationidtextLookup identifier value for the location
topicidtextLookup identifier for the Topic
yearstartnumberStarting year for year range
geographicleveltextDescriptor of location type (National, State, County)
yearendnumberEnding year for year range. Same as starting year if single year used in evaluation.
state_abbreviationtextState abbreviation
locationabbrtextLocation (National or state) abbreviation
locationdesctextLocation (National or state) full name
raceethnicitytextStratification value for race (e.g., All races, Asian, Black, non-hispanic, Hispanic, any race, North American Native, White, non-hispanic, or Other)
responsetextOptional column to hold the response value that was evaluated.
categorytextCategory description
topictextTopic description
weighted_sampletextWeighted sample size
questionidtextLookup identifier for the Question
ageidtextLookup identifier for the Age stratification
riskfactortextStratification value for major risk factor (e.g., All participants)
agetextStratification value for age group (e.g., All ages, 0-17 years, 18-39 years, 40-64 years, 65-84 years, or 85 years and older)
questiontextQuestion description (e.g., Percentage of adults with diabetic retinopathy)
riskfactoridtextLookup identifier for the Major Risk Factor
categoryidtextLookup identifier for the Category
responseidtextLookup identifier for the Response
datavaluetypeidtextLookup identifier for the data value type
sextextStratification value for sex
raceethnicityidtextLookup identifier for the Race/Ethnicity stratification
riskfactorresponseidtextLookup identifier for the Major Risk Factor Response
datasourcetextAbbreviation of Data Source
geolocationpointLatitude & Longitude to be provided for formatting GeoLocation in the format (latitude, longitude)
nonweighted_sampletextUnweighted sample size
data_value_footnotetextFootnote text
data_value_footnote_symboltextFootnote symbol
data_value_typetextThe data value type, such as age-adjusted prevalence or crude prevalence
sexidtextLookup identifier for the Sex stratification
riskfactorresponsetextColumn holding the response for the risk factor that was evaluated (e.g., All participants)
data_value_unittextThe unit, such as "%" for percent
data_valuenumberA numeric data value greater than or equal to 0, or no value when footnote symbol and text are present
low_confidence_limitnumber95% confidence interval lower bound
high_confidence_limitnumber95% confidence interval higher bound

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