South African vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 180,291,785 people shows a moderate negative correlation between the proportion of Immigrants from Eastern Asia within South African communities in the United States with a correlation coefficient (R) of -0.467. On average, for every 1% (one percent) increase in South Africans within a typical geography, there is a decrease of 0.289% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 South Africans corresponds to a decrease of 288.9 Immigrants from Eastern Asia.

When considering income, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($103,160 compared to $118,056, a difference of 14.4%), median household income ($93,379 compared to $104,796, a difference of 12.2%), and householder income ages 45 - 64 years ($109,719 compared to $122,222, a difference of 11.4%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 27.1%, a difference of 3.5%), householder income over 65 years ($65,652 compared to $69,872, a difference of 6.4%), and per capita income ($50,044 compared to $53,806, a difference of 7.5%).

When considering poverty, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (16.2% compared to 13.5%, a difference of 20.2%), female poverty among 25-34 year olds (13.0% compared to 11.2%, a difference of 16.2%), and child poverty among girls under 16 (15.5% compared to 13.4%, a difference of 16.0%). Conversely, both communities are more comparable in terms of male poverty (10.7% compared to 10.4%, a difference of 3.0%), poverty (11.7% compared to 11.3%, a difference of 3.9%), and female poverty (12.8% compared to 12.2%, a difference of 4.7%).

When considering unemployment, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 6.3%, a difference of 15.7%), unemployment among women with children ages 6 to 17 years (8.7% compared to 7.7%, a difference of 12.4%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 8.5%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.71%), unemployment (5.1% compared to 5.1%, a difference of 0.80%), and female unemployment (5.2% compared to 5.1%, a difference of 1.1%).

When considering labor participation, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (36.7% compared to 32.0%, a difference of 14.7%), in labor force | age 20-24 (75.0% compared to 71.8%, a difference of 4.5%), and in labor force | age 45-54 (82.6% compared to 83.4%, a difference of 0.93%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.0% compared to 84.8%, a difference of 0.20%), in labor force | age 20-64 (79.7% compared to 79.9%, a difference of 0.29%), and in labor force | age 30-34 (85.0% compared to 85.4%, a difference of 0.44%).

When considering family structure, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in births to unmarried women (30.5% compared to 25.0%, a difference of 21.8%), divorced or separated (11.8% compared to 10.2%, a difference of 15.6%), and single mother households (5.8% compared to 5.1%, a difference of 14.4%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.7%, a difference of 0.94%), currently married (47.6% compared to 48.2%, a difference of 1.3%), and average family size (3.17 compared to 3.22, a difference of 1.7%).

When considering vehicle availability, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (10.2% compared to 13.5%, a difference of 32.3%), 2 or more vehicles in household (56.2% compared to 53.2%, a difference of 5.6%), and 1 or more vehicles in household (90.0% compared to 86.5%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.2% compared to 6.2%, a difference of 0.12%), 3 or more vehicles in household (19.3% compared to 18.8%, a difference of 2.5%), and 1 or more vehicles in household (90.0% compared to 86.5%, a difference of 4.0%).

When considering education level, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in no schooling completed (1.8% compared to 2.4%, a difference of 34.5%), doctorate degree (2.3% compared to 3.0%, a difference of 26.7%), and professional degree (5.7% compared to 6.6%, a difference of 15.3%). Conversely, both communities are more comparable in terms of ged/equivalency (87.5% compared to 87.4%, a difference of 0.11%), nursery school (98.3% compared to 97.7%, a difference of 0.63%), and kindergarten (98.3% compared to 97.6%, a difference of 0.64%).

When considering disability, the most significant differences between South African and Immigrants from Eastern Asia communities in the United States are seen in disability age 35 to 64 (10.7% compared to 8.8%, a difference of 21.5%), disability age 5 to 17 (5.5% compared to 4.6%, a difference of 20.7%), and vision disability (2.1% compared to 1.8%, a difference of 16.8%). Conversely, both communities are more comparable in terms of cognitive disability (16.9% compared to 16.8%, a difference of 0.59%), self-care disability (2.3% compared to 2.3%, a difference of 0.74%), and disability age over 75 (45.5% compared to 46.2%, a difference of 1.4%).