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. 2020 May 21;15(5):e0233361. doi: 10.1371/journal.pone.0233361

Table 2. Variables used to define and measure gentrification for included quantitative articles.

Variable N (%) References
Age (population) 5 (20.8%) 5, 16, 18, 29, 41
Age (housing stock) 3 (12.5%) 5, 24, 25
Education 17 (70.8%) 5, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 32, 38, 41, 45, 49
Home value 6 (25%) 5, 16, 20, 32, 38, 41
Median Household income 17 (70.8%) 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 32, 36, 38, 41, 49
Immigrant population (%) 2 (8.3%) 5, 41
Non-family households (%) 1 (4.2%) 16
Occupation 2 (8.3%) 16, 18
Poverty 4 (16.7%) 16, 23, 27, 38
Race 6 (25%) 16, 18, 22, 27, 38, 39
Rent 12 (50%) 16, 18, 20, 21, 34, 25, 26, 27, 30, 32, 38, 29
Urbanization 2 (8.3%) 24, 25
Owner Occupied 1 (4.2%) 16
Unemployment 1 (4.2%) 5
Residential Mobility 2 (8.3%) 5, 29
Dollar Amount of Improvement Loans (Per Capita) 1 (4.2%) 38
Mean Dollar Amount of Home Loans 1 (4.2%) 38
Composite Measure (SEIFA, IMD, and NCGS) 3 (12.5%) 37, 44, 48
Geographic Level N (%) References
Zip code 2 (8.3%) 18, 27
Census Tract 10 (41.7%) 5, 19, 20, 21, 22, 24, 25, 32, 45, 49
Block group 1 (4.2%) 16
Other 7 (29.1%) 23, 26, 29, 30, 41, 44, 48
Time between baseline and follow-up (years) N (%) References
5 2 (8.3%) 5, 44
10 14 (58.3%) 16, 18, 20, 21, 22, 24, 25, 26, 32, 36, 38, 39, 45, 49
20 3 (12.5%) 23, 27, 39
Other 5 (20.8%) 41, 19, 48, 29, 37
Analytical Method N (%) References
Logistic Regression Models 12 (50%) 18, 19, 20, 22, 24, 25, 26, 27, 29, 30, 37, 44
Linear Regression Models 8 (33.3%) 19, 21, 30, 32, 39, 45, 48, 49
Principal Component Analysis 2 (8.3%) 16, 26
Other 8 (33.3%) 5, 16, 23, 32, 36, 37, 38, 41