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The article first examines the population and municipal status dynamics, location and economic characteristics of census towns as well as their migratory and commuting patterns.
In our analysis, on-road sources were significantly associated with the racial and socioeconomic characteristics of census tracts in Maryland.
We found strong and consistent associations between socioeconomic and racial characteristics of census tracts and estimated cancer risk from air toxics.
We analyzed the location and characteristics of 2,514 intensive hog operations in relation to racial, economic, and water source characteristics of census block groups, neighborhoods with an average of approximately 500 households each.
We linked risk estimates from the U.S. Environmental Protection Agency's National Air Toxics Assessment (NATA) to racial and socioeconomic characteristics of census tracts in Maryland (2000 Census) to evaluate disparities in estimated cancer risk from exposure to air toxics by emission source category.
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As proxies for individual socioeconomic status, United States Census data were used to establish characteristics of the census tract where beneficiaries resided.
The ACS data provide information on socioeconomic characteristics of the census block group where the student lives as well as information on neighborhood characteristics such as the proportion of population by race, income level, education, and work status.
At the neighborhood level, four socioeconomic characteristics of the census blocks of residence were considered.
Thus, socioeconomic characteristics of building census block group assignment and building residents appear to be equivalent, and characteristics associated with sampled buildings appear to be similar to other dry cleaner buildings in the same ZIP code areas.
To further assess the quality of recruitment in the score, population-based or school-based studies with characteristics of a census were rated as of highest quality (R = 1).
Illness severity on admission was determined using the Deyo's adaptation of the Charlson's comorbidity index, and each patient was assigned to one to four SES groups (level I referring to the highest SES) defined by a socioeconomic index, derived by the characteristics of the census tract of residence.
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