Pima vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 44,577,027 people shows a moderate positive correlation between the proportion of Kenyans within Pima communities in the United States with a correlation coefficient (R) of 0.469. On average, for every 1% (one percent) increase in Pima within a typical geography, there is an increase of 0.031% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to an increase of 30.6 Kenyans.

When considering income, the most significant differences between Pima and Kenyan communities in the United States are seen in per capita income ($30,644 compared to $42,808, a difference of 39.7%), householder income ages 45 - 64 years ($73,365 compared to $98,970, a difference of 34.9%), and median household income ($63,262 compared to $84,085, a difference of 32.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,503 compared to $50,815, a difference of 1.4%), householder income ages 25 - 44 years ($82,821 compared to $91,684, a difference of 10.7%), and median female earnings ($35,326 compared to $39,860, a difference of 12.8%).

When considering poverty, the most significant differences between Pima and Kenyan communities in the United States are seen in married-couple family poverty (11.4% compared to 4.8%, a difference of 138.5%), seniors poverty over the age of 75 (23.9% compared to 11.5%, a difference of 107.5%), and family poverty (18.4% compared to 8.9%, a difference of 106.2%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 15.3%, a difference of 3.7%), single mother poverty (38.6% compared to 28.4%, a difference of 36.1%), and female poverty among 18-24 year olds (28.4% compared to 20.2%, a difference of 41.0%).

When considering unemployment, the most significant differences between Pima and Kenyan communities in the United States are seen in unemployment among ages 35 to 44 years (11.8% compared to 4.4%, a difference of 165.4%), unemployment among women with children under 18 years (11.7% compared to 5.3%, a difference of 122.6%), and unemployment among women with children ages 6 to 17 years (18.9% compared to 8.8%, a difference of 114.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.2% compared to 9.1%, a difference of 1.5%), unemployment among ages 60 to 64 years (4.8% compared to 4.6%, a difference of 4.7%), and unemployment among seniors over 65 years (6.3% compared to 4.7%, a difference of 32.8%).

When considering labor participation, the most significant differences between Pima and Kenyan communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 40.1%, a difference of 17.7%), in labor force | age > 16 (57.4% compared to 67.6%, a difference of 17.7%), and in labor force | age 20-64 (69.0% compared to 80.8%, a difference of 17.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (79.0% compared to 85.4%, a difference of 8.1%), in labor force | age 20-24 (69.0% compared to 77.0%, a difference of 11.6%), and in labor force | age 35-44 (74.8% compared to 85.2%, a difference of 13.9%).

When considering family structure, the most significant differences between Pima and Kenyan communities in the United States are seen in single father households (4.2% compared to 2.4%, a difference of 75.6%), births to unmarried women (51.5% compared to 31.9%, a difference of 61.5%), and currently married (35.9% compared to 45.2%, a difference of 25.8%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 63.2%, a difference of 4.4%), family households with children (27.1% compared to 28.4%, a difference of 4.7%), and divorced or separated (12.9% compared to 12.2%, a difference of 5.7%).

When considering vehicle availability, the most significant differences between Pima and Kenyan communities in the United States are seen in no vehicles in household (14.1% compared to 9.7%, a difference of 45.6%), 4 or more vehicles in household (7.9% compared to 6.1%, a difference of 29.2%), and 3 or more vehicles in household (22.0% compared to 19.1%, a difference of 15.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.3% compared to 90.4%, a difference of 4.7%), 2 or more vehicles in household (52.0% compared to 55.5%, a difference of 6.8%), and 3 or more vehicles in household (22.0% compared to 19.1%, a difference of 15.4%).

When considering education level, the most significant differences between Pima and Kenyan communities in the United States are seen in bachelor's degree (23.2% compared to 38.7%, a difference of 66.8%), master's degree (9.2% compared to 15.3%, a difference of 65.8%), and associate's degree (30.2% compared to 47.1%, a difference of 55.9%). Conversely, both communities are more comparable in terms of 7th grade (96.1% compared to 96.2%, a difference of 0.090%), 6th grade (97.2% compared to 97.1%, a difference of 0.12%), and 5th grade (97.6% compared to 97.4%, a difference of 0.20%).

When considering disability, the most significant differences between Pima and Kenyan communities in the United States are seen in disability age 65 to 74 (38.6% compared to 23.7%, a difference of 62.6%), vision disability (3.3% compared to 2.1%, a difference of 60.1%), and ambulatory disability (8.2% compared to 5.8%, a difference of 42.6%). Conversely, both communities are more comparable in terms of cognitive disability (18.8% compared to 18.1%, a difference of 3.6%), disability age 5 to 17 (6.2% compared to 5.8%, a difference of 7.3%), and disability age under 5 (1.1% compared to 1.2%, a difference of 13.8%).