Immigrants from Kenya vs Immigrants from Yemen Community Comparison

The statistical analysis conducted on geographies consisting of 62,981,759 people shows a very strong positive correlation between the proportion of Immigrants from Yemen within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.811. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.120% in Immigrants from Yemen. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 120.1 Immigrants from Yemen.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in householder income ages 45 - 64 years ($97,964 compared to $74,575, a difference of 31.4%), median family income ($100,679 compared to $77,457, a difference of 30.0%), and median household income ($83,068 compared to $65,194, a difference of 27.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $43,591, a difference of 13.9%), median female earnings ($39,535 compared to $34,693, a difference of 14.0%), and wage/income gap (24.4% compared to 21.1%, a difference of 15.8%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in married-couple family poverty (4.9% compared to 12.8%, a difference of 162.3%), family poverty (9.2% compared to 17.5%, a difference of 89.8%), and receiving food stamps (11.8% compared to 21.6%, a difference of 83.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 27.5%, a difference of 31.2%), single mother poverty (28.9% compared to 38.5%, a difference of 33.1%), and single female poverty (21.4% compared to 28.9%, a difference of 34.9%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in unemployment among seniors over 75 years (8.8% compared to 16.5%, a difference of 86.6%), unemployment among women with children under 6 years (7.3% compared to 13.5%, a difference of 85.8%), and unemployment among seniors over 65 years (4.9% compared to 8.2%, a difference of 68.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.2% compared to 20.0%, a difference of 23.6%), unemployment among ages 25 to 29 years (6.1% compared to 8.0%, a difference of 30.1%), and unemployment among youth under 25 years (11.2% compared to 15.6%, a difference of 39.6%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 31.5%, a difference of 28.5%), in labor force | age > 16 (67.6% compared to 59.6%, a difference of 13.3%), and in labor force | age 45-54 (83.5% compared to 74.4%, a difference of 12.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.4% compared to 78.2%, a difference of 9.2%), in labor force | age 30-34 (85.5% compared to 78.2%, a difference of 9.4%), and in labor force | age 35-44 (85.1% compared to 76.3%, a difference of 11.6%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in average family size (3.21 compared to 3.60, a difference of 12.1%), single father households (2.4% compared to 2.2%, a difference of 9.9%), and divorced or separated (12.2% compared to 11.3%, a difference of 8.2%). Conversely, both communities are more comparable in terms of family households (62.3% compared to 63.0%, a difference of 1.0%), births to unmarried women (32.1% compared to 31.7%, a difference of 1.3%), and family households with children (28.1% compared to 29.4%, a difference of 4.6%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in no vehicles in household (9.6% compared to 19.5%, a difference of 102.0%), 4 or more vehicles in household (6.0% compared to 4.5%, a difference of 33.7%), and 3 or more vehicles in household (18.8% compared to 14.2%, a difference of 31.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 80.5%, a difference of 12.3%), 2 or more vehicles in household (55.1% compared to 42.8%, a difference of 28.7%), and 3 or more vehicles in household (18.8% compared to 14.2%, a difference of 31.9%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in no schooling completed (2.1% compared to 4.1%, a difference of 93.6%), doctorate degree (1.9% compared to 1.4%, a difference of 33.4%), and master's degree (15.3% compared to 11.6%, a difference of 32.0%). Conversely, both communities are more comparable in terms of kindergarten (97.9% compared to 95.9%, a difference of 2.1%), nursery school (97.9% compared to 95.9%, a difference of 2.1%), and 1st grade (97.8% compared to 95.8%, a difference of 2.1%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Yemen communities in the United States are seen in disability age under 5 (1.2% compared to 0.91%, a difference of 36.8%), self-care disability (2.3% compared to 3.0%, a difference of 28.3%), and vision disability (2.1% compared to 2.6%, a difference of 24.8%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.9% compared to 7.0%, a difference of 0.89%), hearing disability (2.9% compared to 2.8%, a difference of 1.8%), and cognitive disability (18.3% compared to 18.8%, a difference of 2.7%).