Kenyan vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 43,133,469 people shows a moderate positive correlation between the proportion of Crow within Kenyan communities in the United States with a correlation coefficient (R) of 0.427. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.018% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 18.4 Crow.

When considering income, the most significant differences between Kenyan and Crow communities in the United States are seen in per capita income ($42,808 compared to $31,729, a difference of 34.9%), householder income ages 45 - 64 years ($98,970 compared to $74,257, a difference of 33.3%), and median family income ($101,417 compared to $76,605, a difference of 32.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $47,012, a difference of 8.1%), median female earnings ($39,860 compared to $35,266, a difference of 13.0%), and median earnings ($46,462 compared to $38,707, a difference of 20.0%).

When considering poverty, the most significant differences between Kenyan and Crow communities in the United States are seen in married-couple family poverty (4.8% compared to 9.6%, a difference of 99.9%), single father poverty (15.3% compared to 30.3%, a difference of 97.7%), and single male poverty (12.4% compared to 23.3%, a difference of 88.3%). Conversely, both communities are more comparable in terms of receiving food stamps (11.6% compared to 13.4%, a difference of 16.0%), single mother poverty (28.4% compared to 38.6%, a difference of 36.2%), and seniors poverty over the age of 75 (11.5% compared to 15.9%, a difference of 38.5%).

When considering unemployment, the most significant differences between Kenyan and Crow communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 17.4%, a difference of 261.0%), unemployment among seniors over 65 years (4.7% compared to 16.9%, a difference of 257.3%), and unemployment among ages 35 to 44 years (4.4% compared to 15.7%, a difference of 254.5%). 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 (4.4% compared to 5.9%, a difference of 32.6%).

When considering labor participation, the most significant differences between Kenyan and Crow communities in the United States are seen in in labor force | age 30-34 (85.4% compared to 75.9%, a difference of 12.5%), in labor force | age 35-44 (85.2% compared to 76.5%, a difference of 11.5%), 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 0.15%), in labor force | age 16-19 (40.1% compared to 38.5%, a difference of 4.3%), and in labor force | age 45-54 (83.7% compared to 78.3%, a difference of 6.9%).

When considering family structure, the most significant differences between Kenyan and Crow communities in the United States are seen in single father households (2.4% compared to 3.5%, a difference of 47.8%), births to unmarried women (31.9% compared to 40.4%, a difference of 26.6%), and average family size (3.21 compared to 3.82, a difference of 19.0%). Conversely, both communities are more comparable in terms of family households (63.2% compared to 65.3%, a difference of 3.4%), family households with children (28.4% compared to 27.4%, a difference of 3.7%), and single mother households (7.0% compared to 7.4%, a difference of 7.0%).

When considering vehicle availability, the most significant differences between Kenyan and Crow communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 7.8%, a difference of 27.8%), 3 or more vehicles in household (19.1% compared to 22.5%, a difference of 17.7%), and no vehicles in household (9.7% compared to 11.0%, a difference of 13.8%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.5% compared to 55.7%, a difference of 0.38%), 1 or more vehicles in household (90.4% compared to 89.3%, a difference of 1.2%), and no vehicles in household (9.7% compared to 11.0%, a difference of 13.8%).

When considering education level, the most significant differences between Kenyan and Crow communities in the United States are seen in master's degree (15.3% compared to 10.6%, a difference of 44.2%), bachelor's degree (38.7% compared to 27.7%, a difference of 39.5%), and professional degree (4.4% compared to 3.2%, a difference of 39.5%). Conversely, both communities are more comparable in terms of 11th grade (92.9% compared to 92.9%, a difference of 0.040%), 10th grade (94.0% compared to 94.7%, a difference of 0.73%), and 9th grade (95.1% compared to 96.1%, a difference of 1.0%).

When considering disability, the most significant differences between Kenyan and Crow communities in the United States are seen in hearing disability (2.8% compared to 4.2%, a difference of 46.6%), disability age 35 to 64 (11.4% compared to 14.6%, a difference of 28.5%), and disability age 18 to 34 (6.8% compared to 8.3%, a difference of 22.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.2%, a difference of 2.6%), cognitive disability (18.1% compared to 17.3%, a difference of 4.6%), and disability age over 75 (47.2% compared to 49.6%, a difference of 5.0%).