Immigrants from Kenya vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 46,270,077 people shows a substantial positive correlation between the proportion of Crow within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.574. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.074% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 74.4 Crow.

When considering income, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in per capita income ($42,661 compared to $31,729, a difference of 34.5%), householder income ages 45 - 64 years ($97,964 compared to $74,257, a difference of 31.9%), and median family income ($100,679 compared to $76,605, a difference of 31.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $47,012, a difference of 5.6%), median female earnings ($39,535 compared to $35,266, a difference of 12.1%), and median earnings ($46,214 compared to $38,707, a difference of 19.4%).

When considering poverty, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in single father poverty (15.0% compared to 30.3%, a difference of 102.1%), married-couple family poverty (4.9% compared to 9.6%, a difference of 95.8%), and single male poverty (12.5% compared to 23.3%, a difference of 86.6%). Conversely, both communities are more comparable in terms of receiving food stamps (11.8% compared to 13.4%, a difference of 13.8%), seniors poverty over the age of 75 (11.9% compared to 15.9%, a difference of 33.4%), and single mother poverty (28.9% compared to 38.6%, a difference of 33.5%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 15.7%, a difference of 253.4%), unemployment among seniors over 65 years (4.9% compared to 16.9%, a difference of 246.0%), and unemployment among ages 65 to 74 years (5.1% compared to 17.4%, a difference of 242.3%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 9.2%, a difference of 5.2%), unemployment among ages 60 to 64 years (4.6% compared to 5.0%, a difference of 8.5%), and unemployment among ages 55 to 59 years (4.5% compared to 5.9%, a difference of 31.8%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in in labor force | age 30-34 (85.5% compared to 75.9%, a difference of 12.6%), in labor force | age 35-44 (85.1% compared to 76.5%, a difference of 11.3%), and in labor force | age > 16 (67.6% compared to 60.8%, a difference of 11.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.9%, a difference of 0.090%), in labor force | age 16-19 (40.5% compared to 38.5%, a difference of 5.2%), and in labor force | age 45-54 (83.5% compared to 78.3%, a difference of 6.6%).

When considering family structure, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in single father households (2.4% compared to 3.5%, a difference of 46.7%), births to unmarried women (32.1% compared to 40.4%, a difference of 25.8%), and average family size (3.21 compared to 3.82, a difference of 19.3%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 27.4%, a difference of 2.8%), family households (62.3% compared to 65.3%, a difference of 4.7%), and married-couple households (44.1% compared to 41.4%, a difference of 6.5%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.8%, a difference of 30.6%), 3 or more vehicles in household (18.8% compared to 22.5%, a difference of 19.6%), and no vehicles in household (9.6% compared to 11.0%, a difference of 14.5%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.1% compared to 55.7%, a difference of 1.1%), 1 or more vehicles in household (90.4% compared to 89.3%, a difference of 1.2%), and no vehicles in household (9.6% compared to 11.0%, a difference of 14.5%).

When considering education level, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in master's degree (15.3% compared to 10.6%, a difference of 43.4%), bachelor's degree (38.8% compared to 27.7%, a difference of 39.8%), and professional degree (4.4% compared to 3.2%, a difference of 38.7%). Conversely, both communities are more comparable in terms of 11th grade (92.8% compared to 92.9%, a difference of 0.090%), 10th grade (94.0% compared to 94.7%, a difference of 0.78%), and 9th grade (95.0% compared to 96.1%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Kenya and Crow communities in the United States are seen in hearing disability (2.9% compared to 4.2%, a difference of 45.3%), disability age 35 to 64 (11.6% compared to 14.6%, a difference of 25.8%), and disability age 18 to 34 (6.9% compared to 8.3%, a difference of 20.0%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.2%, a difference of 0.22%), disability age over 75 (47.6% compared to 49.6%, a difference of 4.3%), and female disability (12.0% compared to 12.7%, a difference of 5.5%).