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Table 1 Proportions of individuals in each socioeconomic status (SES) category and percent of tracts and counties in the category relative to the US median, Mortality Disparities in American Communities study

From: Comparisons of individual- and area-level socioeconomic status as proxies for individual-level measures: evidence from the Mortality Disparities in American Communities study

 

Individual-level (n ≈ 3,471,000)

Census tract-level (n = 2,830,000)

County-level (n = 2,854,000)

 

Proportion

SD

Proportion compared to the US median

SD

Proportion compared to the US median

SD

Household income

      

 Above US median

0.47

0.50

0.51

0.50

0.49

0.50

Poverty level

      

 ≤ 100% FPL

0.10

0.30

0.49

0.50

0.46

0.50

Education

      

 Has high school degreea

0.86

0.35

0.50

0.50

0.52

0.50

 Has college degreeb

0.26

0.44

0.47

0.50

0.48

0.50

Employment/occupation

      

 Is unemployedc

0.04

0.18

0.49

0.50

0.48

0.50

 Employed in blue-collar industryd

0.37

0.48

0.52

0.50

0.53

0.50

Other characteristics

      

 Owns home

0.74

0.44

0.55

0.50

0.53

0.50

 Foreign born

0.13

0.33

0.46

0.50

0.46

0.50

  1. Individual-level SES categories are binary variables based on individual-level values, while census tract- and county-level SES categories reflect whether the areas were at or below versus above the US median for that characteristic. For household income, education, and owns home, having a value of 1 was considered low risk for health outcomes, while having a value of 0 was considered high risk; in contrast, for poverty, employment/occupation, and foreign born, having a value of 1 was considered high risk, while having a value of 0 was considered low risk
  2. SD standard deviation, US United States, FPL federal poverty level
  3. aHaving a high school degree was measured among participants who were 18+ years old
  4. bHaving a college degree was measured among participants who were 25+ years old
  5. cUnemployment was measured among participants who reported being in the workforce (e.g., excluding retirees)
  6. dEmployment in a blue-collar industry was measured among participants who reported being employed (i.e., excluding unemployed participants)