Kenyan vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 46,006,840 people shows a very strong positive correlation between the proportion of Chinese within Kenyan communities in the United States with a correlation coefficient (R) of 0.899. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.697% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 697.4 Chinese.

When considering income, the most significant differences between Kenyan and Chinese communities in the United States are seen in householder income over 65 years ($60,514 compared to $77,465, a difference of 28.0%), householder income ages 45 - 64 years ($98,970 compared to $116,156, a difference of 17.4%), and median household income ($84,085 compared to $98,496, a difference of 17.1%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $41,461, a difference of 4.0%), median earnings ($46,462 compared to $48,836, a difference of 5.1%), and wage/income gap (24.5% compared to 25.9%, a difference of 5.9%).

When considering poverty, the most significant differences between Kenyan and Chinese communities in the United States are seen in child poverty among boys under 16 (16.6% compared to 11.9%, a difference of 39.9%), child poverty under the age of 16 (16.5% compared to 11.9%, a difference of 38.6%), and family poverty (8.9% compared to 6.5%, a difference of 36.9%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.4%, a difference of 0.56%), single male poverty (12.4% compared to 11.0%, a difference of 12.5%), and single mother poverty (28.4% compared to 24.6%, a difference of 15.2%).

When considering unemployment, the most significant differences between Kenyan and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.1% compared to 5.9%, a difference of 53.6%), unemployment among ages 60 to 64 years (4.6% compared to 4.0%, a difference of 14.2%), and female unemployment (5.0% compared to 4.5%, a difference of 12.5%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.1% compared to 16.0%, a difference of 0.040%), unemployment among ages 55 to 59 years (4.4% compared to 4.4%, a difference of 0.62%), and unemployment among ages 30 to 34 years (5.2% compared to 5.1%, a difference of 2.4%).

When considering labor participation, the most significant differences between Kenyan and Chinese communities in the United States are seen in in labor force | age > 16 (67.6% compared to 64.7%, a difference of 4.5%), in labor force | age 16-19 (40.1% compared to 38.6%, a difference of 4.0%), and in labor force | age 25-29 (85.4% compared to 84.3%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.8% compared to 80.7%, a difference of 0.18%), in labor force | age 35-44 (85.2% compared to 85.1%, a difference of 0.19%), and in labor force | age 20-24 (77.0% compared to 77.3%, a difference of 0.34%).

When considering family structure, the most significant differences between Kenyan and Chinese communities in the United States are seen in single mother households (7.0% compared to 5.2%, a difference of 34.8%), single father households (2.4% compared to 2.0%, a difference of 20.6%), and married-couple households (44.7% compared to 50.4%, a difference of 12.7%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.34, a difference of 3.9%), births to unmarried women (31.9% compared to 30.2%, a difference of 5.4%), and family households (63.2% compared to 68.1%, a difference of 7.9%).

When considering vehicle availability, the most significant differences between Kenyan and Chinese communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 8.8%, a difference of 45.4%), 3 or more vehicles in household (19.1% compared to 23.9%, a difference of 25.0%), and no vehicles in household (9.7% compared to 8.2%, a difference of 18.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.9%, a difference of 1.7%), 2 or more vehicles in household (55.5% compared to 60.1%, a difference of 8.2%), and no vehicles in household (9.7% compared to 8.2%, a difference of 18.0%).

When considering education level, the most significant differences between Kenyan and Chinese communities in the United States are seen in no schooling completed (2.0% compared to 1.5%, a difference of 38.9%), doctorate degree (1.9% compared to 1.8%, a difference of 10.4%), and master's degree (15.3% compared to 14.6%, a difference of 5.2%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.6%, a difference of 0.59%), kindergarten (98.0% compared to 98.5%, a difference of 0.60%), and 1st grade (97.9% compared to 98.5%, a difference of 0.60%).

When considering disability, the most significant differences between Kenyan and Chinese communities in the United States are seen in hearing disability (2.8% compared to 3.7%, a difference of 29.5%), disability age 5 to 17 (5.8% compared to 4.7%, a difference of 22.5%), and cognitive disability (18.1% compared to 15.9%, a difference of 13.8%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.0%, a difference of 1.7%), disability age over 75 (47.2% compared to 48.7%, a difference of 3.1%), and female disability (11.9% compared to 12.3%, a difference of 4.0%).