Immigrants from Kenya vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 210,142,158 people shows a poor negative correlation between the proportion of Immigrants from China within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of -0.179. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is a decrease of 0.084% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to a decrease of 84.0 Immigrants from China.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($90,767 compared to $119,756, a difference of 31.9%), per capita income ($42,661 compared to $54,264, a difference of 27.2%), and median household income ($83,068 compared to $105,335, a difference of 26.8%). Conversely, both communities are more comparable in terms of wage/income gap (24.4% compared to 26.7%, a difference of 9.4%), householder income over 65 years ($59,710 compared to $69,174, a difference of 15.9%), and householder income under 25 years ($49,633 compared to $57,931, a difference of 16.7%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (17.9% compared to 13.6%, a difference of 31.2%), child poverty among girls under 16 (17.2% compared to 13.4%, a difference of 28.1%), and child poverty under the age of 16 (16.9% compared to 13.3%, a difference of 27.3%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 14.9%, a difference of 0.31%), married-couple family poverty (4.9% compared to 5.0%, a difference of 1.6%), and female poverty among 18-24 year olds (21.0% compared to 20.2%, a difference of 4.1%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 6.2%, a difference of 16.6%), unemployment among women with children ages 6 to 17 years (8.8% compared to 7.7%, a difference of 14.3%), and unemployment among seniors over 75 years (8.8% compared to 7.8%, a difference of 13.7%). Conversely, both communities are more comparable in terms of male unemployment (5.2% compared to 5.2%, a difference of 0.55%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.81%), and unemployment (5.1% compared to 5.2%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 31.1%, a difference of 30.1%), in labor force | age 20-24 (77.0% compared to 71.1%, a difference of 8.3%), and in labor force | age > 16 (67.6% compared to 65.4%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 85.4%, a difference of 0.16%), in labor force | age 45-54 (83.5% compared to 83.2%, a difference of 0.34%), and in labor force | age 35-44 (85.1% compared to 84.7%, a difference of 0.49%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in single mother households (7.0% compared to 5.1%, a difference of 37.8%), births to unmarried women (32.1% compared to 24.7%, a difference of 30.0%), and single father households (2.4% compared to 1.8%, a difference of 29.8%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.23, a difference of 0.66%), family households with children (28.1% compared to 27.4%, a difference of 2.5%), and family households (62.3% compared to 64.7%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in no vehicles in household (9.6% compared to 15.2%, a difference of 57.2%), 2 or more vehicles in household (55.1% compared to 51.5%, a difference of 7.1%), and 1 or more vehicles in household (90.4% compared to 84.9%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.0% compared to 6.0%, a difference of 1.2%), 3 or more vehicles in household (18.8% compared to 18.2%, a difference of 3.1%), and 1 or more vehicles in household (90.4% compared to 84.9%, a difference of 6.4%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in doctorate degree (1.9% compared to 3.1%, a difference of 61.6%), professional degree (4.4% compared to 6.7%, a difference of 53.6%), and master's degree (15.3% compared to 21.2%, a difference of 38.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.3%, a difference of 0.18%), high school diploma (89.6% compared to 89.3%, a difference of 0.29%), and nursery school (97.9% compared to 97.5%, a difference of 0.43%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from China communities in the United States are seen in disability age 35 to 64 (11.6% compared to 8.7%, a difference of 33.6%), disability age under 5 (1.2% compared to 0.96%, a difference of 29.0%), and disability age 5 to 17 (5.8% compared to 4.5%, a difference of 28.9%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.090%), disability age over 75 (47.6% compared to 46.3%, a difference of 2.7%), and cognitive disability (18.3% compared to 16.9%, a difference of 8.2%).