Immigrants from Kenya vs Immigrants from Guatemala Community Comparison

The statistical analysis conducted on geographies consisting of 189,296,481 people shows a poor negative correlation between the proportion of Immigrants from Guatemala within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of -0.176. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is a decrease of 0.035% in Immigrants from Guatemala. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to a decrease of 35.4 Immigrants from Guatemala.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in median male earnings ($53,427 compared to $46,244, a difference of 15.5%), median family income ($100,679 compared to $87,191, a difference of 15.5%), and per capita income ($42,661 compared to $37,550, a difference of 13.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $51,447, a difference of 3.6%), wage/income gap (24.4% compared to 22.5%, a difference of 8.6%), and median household income ($83,068 compared to $75,123, a difference of 10.6%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in married-couple family poverty (4.9% compared to 7.2%, a difference of 47.3%), seniors poverty over the age of 65 (10.5% compared to 13.8%, a difference of 31.1%), and family poverty (9.2% compared to 12.0%, a difference of 30.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 20.9%, a difference of 0.66%), single male poverty (12.5% compared to 13.8%, a difference of 10.4%), and single father poverty (15.0% compared to 16.6%, a difference of 10.9%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in female unemployment (5.0% compared to 6.1%, a difference of 21.0%), unemployment among women with children under 18 years (5.4% compared to 6.4%, a difference of 19.0%), and unemployment among women with children under 6 years (7.3% compared to 8.6%, a difference of 19.0%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 8.7%, a difference of 2.1%), unemployment among women with children ages 6 to 17 years (8.8% compared to 9.4%, a difference of 6.9%), and unemployment among ages 20 to 24 years (9.7% compared to 10.5%, a difference of 7.5%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 35.3%, a difference of 14.8%), in labor force | age > 16 (67.6% compared to 65.6%, a difference of 2.9%), and in labor force | age 45-54 (83.5% compared to 81.1%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 83.7%, a difference of 2.2%), in labor force | age 25-29 (85.4% compared to 83.6%, a difference of 2.2%), and in labor force | age 20-24 (77.0% compared to 75.3%, a difference of 2.2%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in single father households (2.4% compared to 3.0%, a difference of 24.8%), births to unmarried women (32.1% compared to 37.5%, a difference of 16.9%), and single mother households (7.0% compared to 7.7%, a difference of 10.8%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.2%, a difference of 0.36%), family households with children (28.1% compared to 28.8%, a difference of 2.5%), and married-couple households (44.1% compared to 42.8%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in no vehicles in household (9.6% compared to 11.2%, a difference of 16.0%), 4 or more vehicles in household (6.0% compared to 6.8%, a difference of 14.5%), and 3 or more vehicles in household (18.8% compared to 19.7%, a difference of 5.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 88.9%, a difference of 1.7%), 2 or more vehicles in household (55.1% compared to 53.5%, a difference of 3.1%), and 3 or more vehicles in household (18.8% compared to 19.7%, a difference of 5.1%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in no schooling completed (2.1% compared to 3.6%, a difference of 67.8%), doctorate degree (1.9% compared to 1.4%, a difference of 37.5%), and master's degree (15.3% compared to 11.6%, a difference of 31.2%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 96.4%, a difference of 1.5%), kindergarten (97.9% compared to 96.4%, a difference of 1.5%), and 1st grade (97.8% compared to 96.4%, a difference of 1.5%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Guatemala communities in the United States are seen in vision disability (2.1% compared to 2.4%, a difference of 13.0%), self-care disability (2.3% compared to 2.6%, a difference of 10.5%), and disability age 18 to 34 (6.9% compared to 6.3%, a difference of 9.5%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (11.6% compared to 11.6%, a difference of 0.020%), disability (11.6% compared to 11.6%, a difference of 0.050%), and male disability (11.1% compared to 11.0%, a difference of 0.76%).