Immigrants from Kenya vs Immigrants from Uzbekistan Community Comparison

The statistical analysis conducted on geographies consisting of 88,130,196 people shows a strong positive correlation between the proportion of Immigrants from Uzbekistan within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.743. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.292% in Immigrants from Uzbekistan. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 292.4 Immigrants from Uzbekistan.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in householder income under 25 years ($49,633 compared to $54,846, a difference of 10.5%), per capita income ($42,661 compared to $46,929, a difference of 10.0%), and median female earnings ($39,535 compared to $43,363, a difference of 9.7%). Conversely, both communities are more comparable in terms of median family income ($100,679 compared to $103,197, a difference of 2.5%), householder income ages 45 - 64 years ($97,964 compared to $100,523, a difference of 2.6%), and median household income ($83,068 compared to $86,425, a difference of 4.0%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in seniors poverty over the age of 75 (11.9% compared to 16.5%, a difference of 38.5%), married-couple family poverty (4.9% compared to 6.6%, a difference of 36.0%), and seniors poverty over the age of 65 (10.5% compared to 14.0%, a difference of 32.9%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 15.0%, a difference of 0.18%), child poverty among girls under 16 (17.2% compared to 17.1%, a difference of 0.64%), and child poverty under the age of 16 (16.9% compared to 17.1%, a difference of 0.91%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in unemployment among ages 16 to 19 years (16.2% compared to 20.5%, a difference of 26.7%), unemployment among seniors over 75 years (8.8% compared to 7.2%, a difference of 22.4%), and unemployment among ages 55 to 59 years (4.5% compared to 5.3%, a difference of 17.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 1.7%), unemployment among ages 65 to 74 years (5.1% compared to 5.5%, a difference of 7.2%), and unemployment among seniors over 65 years (4.9% compared to 5.2%, a difference of 7.4%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 29.2%, a difference of 38.9%), in labor force | age 20-24 (77.0% compared to 70.4%, a difference of 9.3%), and in labor force | age > 16 (67.6% compared to 64.3%, a difference of 5.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 84.7%, a difference of 0.98%), in labor force | age 35-44 (85.1% compared to 84.2%, a difference of 1.1%), and in labor force | age 45-54 (83.5% compared to 82.3%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in single father households (2.4% compared to 1.8%, a difference of 32.1%), births to unmarried women (32.1% compared to 25.8%, a difference of 24.4%), and single mother households (7.0% compared to 5.9%, a difference of 19.2%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.24, a difference of 0.98%), family households (62.3% compared to 63.4%, a difference of 1.7%), and married-couple households (44.1% compared to 45.4%, a difference of 3.0%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in no vehicles in household (9.6% compared to 26.7%, a difference of 176.6%), 4 or more vehicles in household (6.0% compared to 3.6%, a difference of 64.3%), and 3 or more vehicles in household (18.8% compared to 12.0%, a difference of 56.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 73.4%, a difference of 23.2%), 2 or more vehicles in household (55.1% compared to 37.9%, a difference of 45.5%), and 3 or more vehicles in household (18.8% compared to 12.0%, a difference of 56.7%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in no schooling completed (2.1% compared to 2.6%, a difference of 21.2%), professional degree (4.4% compared to 5.2%, a difference of 18.2%), and master's degree (15.3% compared to 17.9%, a difference of 17.1%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.4%, a difference of 0.48%), kindergarten (97.9% compared to 97.4%, a difference of 0.49%), and 1st grade (97.8% compared to 97.4%, a difference of 0.49%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Uzbekistan communities in the United States are seen in disability age under 5 (1.2% compared to 0.85%, a difference of 46.2%), disability age 18 to 34 (6.9% compared to 5.5%, a difference of 25.0%), and self-care disability (2.3% compared to 2.9%, a difference of 24.1%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 2.0%), female disability (12.0% compared to 12.3%, a difference of 2.2%), and disability (11.6% compared to 11.3%, a difference of 2.3%).