Immigrants from Kenya vs Puget Sound Salish Community Comparison

The statistical analysis conducted on geographies consisting of 37,096,655 people shows a poor positive correlation between the proportion of Puget Sound Salish within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.171. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.092% in Puget Sound Salish. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 91.7 Puget Sound Salish.

When considering income, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in householder income under 25 years ($49,633 compared to $55,543, a difference of 11.9%), wage/income gap (24.4% compared to 25.3%, a difference of 4.0%), and householder income ages 25 - 44 years ($90,767 compared to $93,661, a difference of 3.2%). Conversely, both communities are more comparable in terms of median earnings ($46,214 compared to $46,333, a difference of 0.26%), householder income ages 45 - 64 years ($97,964 compared to $98,340, a difference of 0.38%), and householder income over 65 years ($59,710 compared to $59,934, a difference of 0.38%).

When considering poverty, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in female poverty among 18-24 year olds (21.0% compared to 18.0%, a difference of 16.7%), child poverty under the age of 5 (17.9% compared to 16.0%, a difference of 11.6%), and child poverty among girls under 16 (17.2% compared to 15.4%, a difference of 11.4%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.9% compared to 4.9%, a difference of 0.070%), single mother poverty (28.9% compared to 29.1%, a difference of 0.55%), and single father poverty (15.0% compared to 15.2%, a difference of 1.2%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.8% compared to 7.5%, a difference of 17.3%), unemployment among ages 16 to 19 years (16.2% compared to 18.7%, a difference of 15.3%), and unemployment among ages 25 to 29 years (6.1% compared to 7.1%, a difference of 14.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.44%), female unemployment (5.0% compared to 5.1%, a difference of 0.50%), and unemployment among ages 55 to 59 years (4.5% compared to 4.4%, a difference of 0.92%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in in labor force | age > 16 (67.6% compared to 63.7%, a difference of 6.0%), in labor force | age 30-34 (85.5% compared to 82.1%, a difference of 4.1%), and in labor force | age 16-19 (40.5% compared to 39.1%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 78.0%, a difference of 1.4%), in labor force | age 45-54 (83.5% compared to 81.7%, a difference of 2.1%), and in labor force | age 25-29 (85.4% compared to 83.5%, a difference of 2.4%).

When considering family structure, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in single father households (2.4% compared to 2.7%, a difference of 12.1%), single mother households (7.0% compared to 6.3%, a difference of 11.5%), and divorced or separated (12.2% compared to 13.4%, a difference of 9.2%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.17, a difference of 1.2%), family households with children (28.1% compared to 27.4%, a difference of 2.5%), and family households (62.3% compared to 65.6%, a difference of 5.2%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 9.4%, a difference of 57.6%), 3 or more vehicles in household (18.8% compared to 26.4%, a difference of 40.4%), and 2 or more vehicles in household (55.1% compared to 62.1%, a difference of 12.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.5%, a difference of 0.13%), no vehicles in household (9.6% compared to 9.5%, a difference of 1.2%), and 2 or more vehicles in household (55.1% compared to 62.1%, a difference of 12.6%).

When considering education level, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in doctorate degree (1.9% compared to 1.2%, a difference of 58.9%), professional degree (4.4% compared to 3.1%, a difference of 42.3%), and master's degree (15.3% compared to 11.1%, a difference of 36.9%). Conversely, both communities are more comparable in terms of high school diploma (89.6% compared to 89.9%, a difference of 0.31%), nursery school (97.9% compared to 98.3%, a difference of 0.38%), and kindergarten (97.9% compared to 98.2%, a difference of 0.39%).

When considering disability, the most significant differences between Immigrants from Kenya and Puget Sound Salish communities in the United States are seen in hearing disability (2.9% compared to 3.9%, a difference of 37.7%), disability age under 5 (1.2% compared to 0.97%, a difference of 27.7%), and male disability (11.1% compared to 13.5%, a difference of 21.7%). Conversely, both communities are more comparable in terms of cognitive disability (18.3% compared to 17.5%, a difference of 4.4%), disability age 5 to 17 (5.8% compared to 6.1%, a difference of 4.5%), and disability age over 75 (47.6% compared to 49.8%, a difference of 4.8%).