Immigrants from Kenya vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 217,553,111 people shows a moderate negative correlation between the proportion of Immigrants from Asia within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of -0.467. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is a decrease of 0.630% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to a decrease of 629.9 Immigrants from Asia.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in householder income ages 25 - 44 years ($90,767 compared to $110,787, a difference of 22.1%), median household income ($83,068 compared to $99,933, a difference of 20.3%), and householder income ages 45 - 64 years ($97,964 compared to $116,566, a difference of 19.0%). Conversely, both communities are more comparable in terms of wage/income gap (24.4% compared to 27.0%, a difference of 10.6%), median female earnings ($39,535 compared to $44,198, a difference of 11.8%), and householder income over 65 years ($59,710 compared to $67,594, a difference of 13.2%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in child poverty under the age of 5 (17.9% compared to 14.4%, a difference of 24.0%), child poverty among boys under 16 (17.1% compared to 13.9%, a difference of 22.4%), and child poverty among girls under 16 (17.2% compared to 14.1%, a difference of 22.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.5% compared to 10.6%, a difference of 0.41%), married-couple family poverty (4.9% compared to 4.8%, a difference of 0.83%), and single father poverty (15.0% compared to 14.7%, a difference of 1.7%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.8% compared to 8.1%, a difference of 8.7%), unemployment among ages 60 to 64 years (4.6% compared to 4.9%, a difference of 7.4%), and unemployment among women with children under 6 years (7.3% compared to 6.8%, a difference of 7.1%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.25%), unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.59%), and unemployment (5.1% compared to 5.1%, a difference of 0.81%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 34.1%, a difference of 18.7%), in labor force | age 20-24 (77.0% compared to 73.6%, a difference of 4.6%), and in labor force | age > 16 (67.6% compared to 66.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.3%, a difference of 0.17%), in labor force | age 30-34 (85.5% compared to 85.0%, a difference of 0.60%), and in labor force | age 35-44 (85.1% compared to 84.5%, a difference of 0.68%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in single mother households (7.0% compared to 5.6%, a difference of 24.5%), births to unmarried women (32.1% compared to 26.8%, a difference of 19.7%), and single father households (2.4% compared to 2.1%, a difference of 14.9%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.27, a difference of 1.9%), family households with children (28.1% compared to 28.8%, a difference of 2.5%), and family households (62.3% compared to 66.1%, a difference of 6.0%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 6.8%, a difference of 13.7%), no vehicles in household (9.6% compared to 10.9%, a difference of 12.7%), and 3 or more vehicles in household (18.8% compared to 20.2%, a difference of 7.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.3%, a difference of 1.3%), 2 or more vehicles in household (55.1% compared to 56.3%, a difference of 2.2%), and 3 or more vehicles in household (18.8% compared to 20.2%, a difference of 7.8%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in doctorate degree (1.9% compared to 2.4%, a difference of 27.0%), professional degree (4.4% compared to 5.5%, a difference of 25.7%), and master's degree (15.3% compared to 18.4%, a difference of 20.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.3%, a difference of 0.18%), nursery school (97.9% compared to 97.6%, a difference of 0.29%), and kindergarten (97.9% compared to 97.6%, a difference of 0.29%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Asia communities in the United States are seen in disability age 35 to 64 (11.6% compared to 9.5%, a difference of 22.6%), disability age 5 to 17 (5.8% compared to 4.8%, a difference of 20.2%), and disability age 18 to 34 (6.9% compared to 5.9%, a difference of 17.7%). Conversely, both communities are more comparable in terms of disability age over 75 (47.6% compared to 47.0%, a difference of 1.1%), self-care disability (2.3% compared to 2.4%, a difference of 1.5%), and hearing disability (2.9% compared to 2.7%, a difference of 4.4%).