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. 2022 Feb 14;11(10):2125–2144. doi: 10.1002/cam4.4601

TABLE 1.

Summary of nSES indices identified

Index/Author a (variable selection method) Domains
Income Education Employment Housing Transportation Family structure Demographic Other
Area deprivation index 131 (factor analysis)

(1) median family income;

(2) income disparity;

(3) % families below the poverty level;

(4) % population <150% of the poverty threshold

(1) population aged >25 years with <9 years of education;

(2) population aged >25 years with at least a high school diploma

(1) employed persons aged >16 years in white collar occupations;

(2) civilian labor force population aged >16 years unemployed

(1) median home value;

(2) median gross rent;

(3) median monthly mortgage;

(4) owner occupied housing units;

(5) % households with more than one person per room

(1) % households without a motor vehicle (1) % single‐parent households with children aged <18 years
Banegas index 29 (a priori)

(1) household income;

(2) poverty

(1) education

(1) occupation;

(2) unemployment

(1) rent;

(2) house values

Beyer index 97 (a priori) (1) median household income (1) proportion without a high school diploma (1) proportion unemployed
Concentrated affluence 43 (a priori) (1) % families with incomes above $75,000 (2000 Census period) or $50,000 (1990 Census period) (1) % adults with college education (1) % civilian labor force employed in professional/ managerial occupations

Concentrated disadvantage (2 variables) 30

(PCA) b

(1) % below the poverty line (1) % unemployed
Concentrated disadvantage (6 variables) 132 (PCA) c

(1) % below the poverty line;

(2) % receiving public assistance income

(1) % unemployed (1) % female‐headed families

(1) % aged <18 years;

(2) % Black

Coogan index 133 (PCA + factor analysis)

(1) median household income;

(2) % households receiving interest, dividend or net rental income

(1) % adults aged ≥25 years that have completed college (1) % employed persons aged ≥16 years that are in occupations classified as managerial, executive, or professional specialty (1) median housing value (1) % families with children not headed by single female
Diez‐Roux index 134 (factor analysis)

(1) log of median household income;

(2) % households receiving net rental, interest or dividend income

(1) % aged ≥25 years who completed high school and who completed college (1) % employed aged ≥16 years in professional and managerial occupations (1) log of median value of owner‐occupied housing units
Doubeni index 86 (PCA)

(1) % below 1999 federal poverty levels;

(2) % on public assistance;

(3) % annual income of <$30,000

(1) % less than high school education

(1) % unemployed;

(2) % men in managerial jobs;

(3) % women in managerial jobs

(1) % no car (1) % headed by a female with dependent children (1) % non‐Hispanic Black
Dubowitz index 135 (factor analysis)

(1) % below the poverty line;

(2) % receiving public assistance;

(3) median household income

(1) % aged ≥25 years with less than a high school education (1) % male unemployment (1) % households with children that are headed only by a female
ICE ‐ Income 136 , 137 (1) (n of persons in high‐income households)—(n of persons in low—income households)/total population with household income data
Johnson economic deprivation index 94 (factor analysis)

(1) % below the poverty level;

(2) % on public assistance

(1) % female head of house with children;

(2) % married

Lian index 88 (PCA)

(1) % receiving public assistance;

(2) % low income;

(3) % income no less than 400% of the US median household income;

(4) median household income in 1999;

(5) % below federal poverty line

(1) % less than a high school education;

(2) % with a college degree

(1) % unemployed males aged ≥20 years;

(2) % unemployed females aged ≥20 years;

(3) % white collar;

(4) % with low social class

(1) % households with ownership;

(2) % vacant households;

(3) % no less than 1 person per room;

(4) median value of all owner‐occupied households;

(5) % living in the same residence since 1995

(1) % households without a car (1) % female‐headed households with dependent children

(1) % non‐Hispanic Black;

(2) % Hispanic;

(3) % residents aged ≥65 years

Material deprivation index 138 (a priori) (1) % living below the poverty level (1) % aged ≥16 years unemployed (1) % living in a crowded residence (more than 1 person per room) (1) % households with no vehicle available (1) % households with no telephone available
Messer index 22 (PCA)

(1) % poverty;

(2) % on public assistance;

(3) households earning $30,000 per year estimating poverty

(1) % earning less than a high school education

(1) % males in management/ professional occupations;

(2) % unemployed

(1) % crowded housing (1) % female headed households with dependents

Mojica index 38

(a priori)

(1) population receiving public assistance (1) % without a high school diploma (1) male population aged ≥16 who are unemployed (1) households with children headed by females
Neighborhood deprivation index 139 (PCA)

(1) % with income below the 1999 poverty status;

(2) % income <$30 000 per year

(3) % on public assistance income

(1) % did not graduate high school (age ≥25 years) (1) % males and females who are unemployed;(2) % males in professional occupations

(1) % housing units with ≥1 occupant per room;

(2) % occupied housing units with renter/owner costs >50% of income;

(3) median household value

(1) % households with no car (1) % female headed households with dependent children
Palmer index 39 (factor analysis)

(1) median household income;

(2) % households receiving interest, dividend, or net rental income

(1) % aged ≥25 years that have completed college (1) % employed aged ≥16 years that are in occupations classified as managerial, executive, or professional specialty (1) median housing value (1) % families with children not headed by a single female
Reitzel index 98 (a priori) (1) % income below the poverty level in 1999 (1) % aged ≥25 years with less than high school degree/GED (1) % aged ≥16 years unemployed (1) % households with no vehicle available for use (1) % single parent households
Social deprivation index 140 (factor analysis) (1) % in poverty (1) % less than high school diploma (1) % nonemployed

(1) % crowding;

(2) % renter‐occupied housing

(1) % no car ownership (1) % single parent households
Wheeler index 28 (weighted quantile sum regression)

(1) median household income;

(2) per capita income;

(3) % households not on public assistance;

(4) % families with children <18 years not in poverty;

(5) Gini index of income equality

(1) % aged ≥25 years with a bachelor's degree

(1) % owner occupied housing;

(2) % not vacant housing units;

(3) median gross rent;

(4) % households with mortgages

(1) % White
Yang index 141 (PCA)

(1) % above 200% poverty line;

(2) median household income

(1) Liu Education Index (% aged ≥25 years with college, high school and less than high school)

(1) % persons with a blue collar job;

(2) % persons employed

(1) median rent;

(2) median value of owner‐occupied housing units

Yost index 44 (PCA d )

(1) median household income;

(2) % below 200% of the poverty line

(1) Liu Education Index (% aged ≥25 years with college, high school and less than high school)

(1) proportion with a blue collar job;

(2) % aged ≥16 years in the workforce without a job

(1) median rent;

(2) median house value

Zhang index 90 (PCA)

(1) % income below poverty;

(2) % income <$22,500 (1990) or <$30,000 (2000);

(3) % on public assistance

(1) % with less than a high school education (1) % unemployed (1) % households without a car
a

Indices that were created for use in one study only are named after the first author of the article in this table.

b

PCA, principal components analysis.

c

One paper utilized the six‐variable Concentrated Disadvantage Index but removed two of the variables (% households receiving public assistance income and % Black). 42

d

The ICE—Income Index is described above. Additional ICE indices include ICE—Race/Ethnicity (n of “White non‐Hispanic” persons)‐(n of “black non‐Hispanic” persons)/n of persons with race/ethnicity data and ICE—Income + Race/Ethnicity (n of “White non‐Hispanic” high‐income persons)−(n of “black alone” low income persons)/n of persons with race/ethnicity and household income data.