Immigrants from Kenya vs Black/African American Community Comparison

The statistical analysis conducted on geographies consisting of 218,001,015 people shows a weak positive correlation between the proportion of Blacks/African Americans within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.206. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.268% in Blacks/African Americans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 268.1 Blacks/African Americans.

When considering income, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in householder income ages 45 - 64 years ($97,964 compared to $78,556, a difference of 24.7%), householder income ages 25 - 44 years ($90,767 compared to $73,370, a difference of 23.7%), and median household income ($83,068 compared to $67,573, a difference of 22.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $44,381, a difference of 11.8%), median female earnings ($39,535 compared to $35,315, a difference of 11.9%), and wage/income gap (24.4% compared to 21.7%, a difference of 12.3%).

When considering poverty, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in receiving food stamps (11.8% compared to 17.2%, a difference of 45.5%), family poverty (9.2% compared to 13.3%, a difference of 44.9%), and child poverty under the age of 16 (16.9% compared to 24.4%, a difference of 44.6%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 24.3%, a difference of 15.8%), single mother poverty (28.9% compared to 35.2%, a difference of 21.7%), and seniors poverty over the age of 75 (11.9% compared to 14.6%, a difference of 22.6%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 10.3%, a difference of 41.5%), unemployment among ages 25 to 29 years (6.1% compared to 8.6%, a difference of 39.4%), and unemployment among ages 30 to 34 years (5.2% compared to 7.2%, a difference of 37.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 9.4%, a difference of 6.1%), unemployment among seniors over 65 years (4.9% compared to 5.5%, a difference of 13.5%), and unemployment among ages 65 to 74 years (5.1% compared to 5.8%, a difference of 13.5%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 36.5%, a difference of 11.0%), in labor force | age > 16 (67.6% compared to 63.4%, a difference of 6.5%), and in labor force | age 20-64 (80.7% compared to 76.8%, a difference of 5.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 82.8%, a difference of 3.3%), in labor force | age 25-29 (85.4% compared to 82.6%, a difference of 3.5%), and in labor force | age 35-44 (85.1% compared to 82.2%, a difference of 3.6%).

When considering family structure, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in births to unmarried women (32.1% compared to 44.3%, a difference of 38.1%), single mother households (7.0% compared to 9.0%, a difference of 28.9%), and married-couple households (44.1% compared to 38.5%, a difference of 14.5%). Conversely, both communities are more comparable in terms of family households (62.3% compared to 61.5%, a difference of 1.4%), single father households (2.4% compared to 2.4%, a difference of 1.6%), and average family size (3.21 compared to 3.27, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in no vehicles in household (9.6% compared to 11.9%, a difference of 23.0%), 4 or more vehicles in household (6.0% compared to 5.5%, a difference of 8.4%), and 2 or more vehicles in household (55.1% compared to 50.9%, a difference of 8.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 88.2%, a difference of 2.5%), 2 or more vehicles in household (55.1% compared to 50.9%, a difference of 8.4%), and 3 or more vehicles in household (18.8% compared to 17.3%, a difference of 8.4%).

When considering education level, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in doctorate degree (1.9% compared to 1.4%, a difference of 32.4%), professional degree (4.4% compared to 3.4%, a difference of 28.7%), and master's degree (15.3% compared to 12.1%, a difference of 26.4%). Conversely, both communities are more comparable in terms of 2nd grade (97.8% compared to 97.8%, a difference of 0.010%), 3rd grade (97.7% compared to 97.7%, a difference of 0.010%), and nursery school (97.9% compared to 97.9%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Kenya and Black/African American communities in the United States are seen in vision disability (2.1% compared to 2.8%, a difference of 32.9%), ambulatory disability (5.8% compared to 7.5%, a difference of 29.4%), and disability age 35 to 64 (11.6% compared to 14.7%, a difference of 26.6%). Conversely, both communities are more comparable in terms of cognitive disability (18.3% compared to 19.0%, a difference of 3.9%), disability age over 75 (47.6% compared to 49.5%, a difference of 4.1%), and hearing disability (2.9% compared to 3.0%, a difference of 6.0%).