Immigrants from Yemen vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 62,981,759 people shows a weak negative correlation between the proportion of Immigrants from Kenya within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of -0.231. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is a decrease of 0.007% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to a decrease of 6.7 Immigrants from Kenya.

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

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

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

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

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

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

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

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