Immigrants from South Africa vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 232,538,823 people shows a poor positive correlation between the proportion of Asians within Immigrant from South Africa communities in the United States with a correlation coefficient (R) of 0.191. On average, for every 1% (one percent) increase in Immigrants from South Africa within a typical geography, there is an increase of 0.298% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Africa corresponds to an increase of 298.1 Asians.

When considering income, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in householder income under 25 years ($51,705 compared to $57,003, a difference of 10.2%), householder income ages 25 - 44 years ($105,748 compared to $112,666, a difference of 6.5%), and median household income ($95,800 compared to $101,681, a difference of 6.1%). Conversely, both communities are more comparable in terms of median male earnings ($62,899 compared to $63,827, a difference of 1.5%), householder income over 65 years ($67,234 compared to $68,822, a difference of 2.4%), and per capita income ($51,465 compared to $50,057, a difference of 2.8%).

When considering poverty, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in single male poverty (13.0% compared to 11.2%, a difference of 15.8%), female poverty among 18-24 year olds (20.6% compared to 18.2%, a difference of 13.4%), and child poverty under the age of 5 (15.8% compared to 14.0%, a difference of 13.2%). Conversely, both communities are more comparable in terms of receiving food stamps (9.7% compared to 9.7%, a difference of 0.010%), married-couple family poverty (4.5% compared to 4.7%, a difference of 3.5%), and seniors poverty over the age of 65 (10.0% compared to 10.4%, a difference of 3.8%).

When considering unemployment, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 6.7%, a difference of 9.8%), unemployment among women with children ages 6 to 17 years (8.6% compared to 8.0%, a difference of 7.5%), and unemployment among women with children under 18 years (5.3% compared to 5.1%, a difference of 4.3%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.12%), unemployment among ages 16 to 19 years (16.9% compared to 16.9%, a difference of 0.13%), and unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.20%).

When considering labor participation, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in in labor force | age 16-19 (36.8% compared to 34.1%, a difference of 7.9%), in labor force | age 20-24 (74.9% compared to 73.7%, a difference of 1.7%), and in labor force | age > 16 (65.3% compared to 66.2%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.1%, a difference of 0.060%), in labor force | age 25-29 (84.9% compared to 84.8%, a difference of 0.11%), and in labor force | age 35-44 (84.3% compared to 84.7%, a difference of 0.41%).

When considering family structure, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in divorced or separated (11.7% compared to 10.6%, a difference of 10.0%), births to unmarried women (29.3% compared to 26.8%, a difference of 9.6%), and family households with children (27.5% compared to 29.1%, a difference of 5.6%). Conversely, both communities are more comparable in terms of single father households (2.1% compared to 2.1%, a difference of 0.56%), currently married (48.1% compared to 48.4%, a difference of 0.61%), and single mother households (5.7% compared to 5.6%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 7.0%, a difference of 12.6%), no vehicles in household (9.8% compared to 9.0%, a difference of 9.1%), and 3 or more vehicles in household (19.5% compared to 20.8%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (56.7% compared to 57.0%, a difference of 0.44%), 1 or more vehicles in household (90.4% compared to 91.1%, a difference of 0.77%), and 3 or more vehicles in household (19.5% compared to 20.8%, a difference of 6.4%).

When considering education level, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in no schooling completed (1.7% compared to 2.4%, a difference of 37.4%), professional degree (6.0% compared to 5.5%, a difference of 8.8%), and college, under 1 year (70.6% compared to 69.4%, a difference of 1.7%). Conversely, both communities are more comparable in terms of doctorate degree (2.4% compared to 2.4%, a difference of 0.57%), nursery school (98.3% compared to 97.6%, a difference of 0.68%), and kindergarten (98.3% compared to 97.6%, a difference of 0.68%).

When considering disability, the most significant differences between Immigrants from South Africa and Asian communities in the United States are seen in hearing disability (3.1% compared to 2.7%, a difference of 11.5%), disability age 5 to 17 (5.3% compared to 4.8%, a difference of 10.8%), and disability age 18 to 34 (6.4% compared to 5.8%, a difference of 10.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.25%), disability age 65 to 74 (21.7% compared to 21.4%, a difference of 1.3%), and self-care disability (2.3% compared to 2.3%, a difference of 1.9%).