Immigrants from Taiwan vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 172,955,886 people shows a weak negative correlation between the proportion of Immigrants from Kenya within Immigrant from Taiwan communities in the United States with a correlation coefficient (R) of -0.207. On average, for every 1% (one percent) increase in Immigrants from Taiwan within a typical geography, there is a decrease of 0.006% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Taiwan corresponds to a decrease of 5.6 Immigrants from Kenya.

When considering income, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in householder income ages 25 - 44 years ($129,122 compared to $90,767, a difference of 42.3%), median household income ($116,460 compared to $83,068, a difference of 40.2%), and median male earnings ($74,031 compared to $53,427, a difference of 38.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($59,424 compared to $49,633, a difference of 19.7%), wage/income gap (29.5% compared to 24.4%, a difference of 20.8%), and median female earnings ($49,256 compared to $39,535, a difference of 24.6%).

When considering poverty, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in receiving food stamps (7.3% compared to 11.8%, a difference of 61.4%), child poverty among boys under 16 (11.0% compared to 17.1%, a difference of 54.7%), and child poverty under the age of 5 (11.6% compared to 17.9%, a difference of 54.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.4% compared to 11.9%, a difference of 5.2%), seniors poverty over the age of 65 (9.7% compared to 10.5%, a difference of 9.1%), and single father poverty (13.7% compared to 15.0%, a difference of 9.5%).

When considering unemployment, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in unemployment among women with children under 6 years (6.0% compared to 7.3%, a difference of 20.1%), unemployment among women with children ages 6 to 17 years (7.3% compared to 8.8%, a difference of 19.8%), and unemployment among women with children under 18 years (4.7% compared to 5.4%, a difference of 14.7%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 5.0%, a difference of 0.71%), unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.80%), and unemployment among ages 65 to 74 years (5.1% compared to 5.1%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (31.0% compared to 40.5%, a difference of 30.5%), in labor force | age 20-24 (71.5% compared to 77.0%, a difference of 7.6%), and in labor force | age > 16 (65.5% compared to 67.6%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.5%, a difference of 0.010%), in labor force | age 30-34 (85.3% compared to 85.5%, a difference of 0.26%), and in labor force | age 35-44 (84.5% compared to 85.1%, a difference of 0.74%).

When considering family structure, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in single mother households (4.7% compared to 7.0%, a difference of 49.0%), births to unmarried women (23.0% compared to 32.1%, a difference of 39.4%), and single father households (1.8% compared to 2.4%, a difference of 30.3%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.21, a difference of 1.0%), family households with children (29.0% compared to 28.1%, a difference of 3.3%), and family households (68.0% compared to 62.3%, a difference of 9.1%).

When considering vehicle availability, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in 4 or more vehicles in household (7.5% compared to 6.0%, a difference of 26.3%), no vehicles in household (7.7% compared to 9.6%, a difference of 24.9%), and 3 or more vehicles in household (22.1% compared to 18.8%, a difference of 17.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.3% compared to 90.4%, a difference of 2.1%), 2 or more vehicles in household (59.7% compared to 55.1%, a difference of 8.4%), and 3 or more vehicles in household (22.1% compared to 18.8%, a difference of 17.8%).

When considering education level, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in doctorate degree (3.2% compared to 1.9%, a difference of 67.4%), professional degree (7.1% compared to 4.4%, a difference of 61.4%), and master's degree (22.5% compared to 15.3%, a difference of 47.3%). Conversely, both communities are more comparable in terms of 1st grade (97.9% compared to 97.8%, a difference of 0.010%), nursery school (97.9% compared to 97.9%, a difference of 0.020%), and kindergarten (97.9% compared to 97.9%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Taiwan and Immigrants from Kenya communities in the United States are seen in disability age 35 to 64 (7.8% compared to 11.6%, a difference of 48.0%), disability age 5 to 17 (4.2% compared to 5.8%, a difference of 39.1%), and disability age 18 to 34 (5.4% compared to 6.9%, a difference of 28.2%). Conversely, both communities are more comparable in terms of disability age over 75 (45.5% compared to 47.6%, a difference of 4.4%), self-care disability (2.2% compared to 2.3%, a difference of 5.3%), and hearing disability (2.6% compared to 2.9%, a difference of 8.8%).