Immigrants from South Central Asia vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 164,445,386 people shows no correlation between the proportion of Kenyans within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of 0.008. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is an increase of 0.000% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Central Asia corresponds to an increase of 0.1 Kenyans.

When considering income, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in median male earnings ($68,960 compared to $53,647, a difference of 28.5%), householder income ages 25 - 44 years ($116,626 compared to $91,684, a difference of 27.2%), and median household income ($106,057 compared to $84,085, a difference of 26.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,818 compared to $50,815, a difference of 13.8%), householder income over 65 years ($70,103 compared to $60,514, a difference of 15.9%), and median female earnings ($46,324 compared to $39,860, a difference of 16.2%).

When considering poverty, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in child poverty under the age of 5 (13.3% compared to 17.5%, a difference of 32.1%), child poverty among girls under 16 (12.7% compared to 16.8%, a difference of 32.0%), and child poverty under the age of 16 (12.5% compared to 16.5%, a difference of 31.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.4% compared to 11.5%, a difference of 1.2%), single father poverty (14.5% compared to 15.3%, a difference of 5.6%), and seniors poverty over the age of 65 (9.7% compared to 10.3%, a difference of 6.2%).

When considering unemployment, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in unemployment among women with children under 6 years (6.6% compared to 7.6%, a difference of 14.7%), unemployment among seniors over 75 years (8.2% compared to 9.1%, a difference of 10.7%), and unemployment among women with children ages 6 to 17 years (7.9% compared to 8.8%, a difference of 10.5%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.040%), female unemployment (5.0% compared to 5.0%, a difference of 0.57%), and unemployment among ages 16 to 19 years (16.2% compared to 16.1%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 40.1%, a difference of 16.1%), in labor force | age 20-24 (74.0% compared to 77.0%, a difference of 4.1%), and in labor force | age > 16 (67.1% compared to 67.6%, a difference of 0.79%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.7% compared to 80.8%, a difference of 0.12%), in labor force | age 25-29 (85.2% compared to 85.4%, a difference of 0.14%), and in labor force | age 35-44 (85.0% compared to 85.2%, a difference of 0.33%).

When considering family structure, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in births to unmarried women (24.7% compared to 31.9%, a difference of 29.2%), single mother households (5.4% compared to 7.0%, a difference of 29.0%), and single father households (2.0% compared to 2.4%, a difference of 21.0%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.21, a difference of 0.43%), family households (66.4% compared to 63.2%, a difference of 5.2%), and family households with children (30.0% compared to 28.4%, a difference of 5.8%).

When considering vehicle availability, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in no vehicles in household (8.6% compared to 9.7%, a difference of 13.3%), 2 or more vehicles in household (56.6% compared to 55.5%, a difference of 1.9%), and 3 or more vehicles in household (19.3% compared to 19.1%, a difference of 1.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.1% compared to 6.1%, a difference of 0.47%), 1 or more vehicles in household (91.5% compared to 90.4%, a difference of 1.2%), and 3 or more vehicles in household (19.3% compared to 19.1%, a difference of 1.3%).

When considering education level, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in master's degree (20.7% compared to 15.3%, a difference of 35.1%), doctorate degree (2.6% compared to 1.9%, a difference of 34.9%), and professional degree (5.9% compared to 4.4%, a difference of 33.9%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.0%, a difference of 0.050%), kindergarten (98.0% compared to 98.0%, a difference of 0.050%), and 1st grade (98.0% compared to 97.9%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from South Central Asia and Kenyan communities in the United States are seen in disability age 35 to 64 (8.9% compared to 11.4%, a difference of 28.3%), disability age 5 to 17 (4.7% compared to 5.8%, a difference of 21.4%), and disability age 18 to 34 (5.7% compared to 6.8%, a difference of 19.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.0% compared to 47.2%, a difference of 2.7%), self-care disability (2.2% compared to 2.3%, a difference of 4.9%), and hearing disability (2.6% compared to 2.8%, a difference of 10.1%).