Kenyan vs Indonesian Community Comparison

The statistical analysis conducted on geographies consisting of 98,313,786 people shows a substantial positive correlation between the proportion of Indonesians within Kenyan communities in the United States with a correlation coefficient (R) of 0.518. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.398% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 398.2 Indonesians.

When considering income, the most significant differences between Kenyan and Indonesian communities in the United States are seen in householder income ages 45 - 64 years ($98,970 compared to $84,890, a difference of 16.6%), median household income ($84,085 compared to $72,856, a difference of 15.4%), and householder income ages 25 - 44 years ($91,684 compared to $79,543, a difference of 15.3%). Conversely, both communities are more comparable in terms of wage/income gap (24.5% compared to 22.7%, a difference of 7.6%), median female earnings ($39,860 compared to $36,140, a difference of 10.3%), and median earnings ($46,462 compared to $41,701, a difference of 11.4%).

When considering poverty, the most significant differences between Kenyan and Indonesian communities in the United States are seen in married-couple family poverty (4.8% compared to 6.3%, a difference of 32.4%), family poverty (8.9% compared to 11.3%, a difference of 27.1%), and child poverty under the age of 5 (17.5% compared to 22.3%, a difference of 27.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.5% compared to 12.1%, a difference of 4.8%), female poverty among 18-24 year olds (20.2% compared to 22.5%, a difference of 11.6%), and seniors poverty over the age of 65 (10.3% compared to 11.5%, a difference of 11.7%).

When considering unemployment, the most significant differences between Kenyan and Indonesian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.8% compared to 7.4%, a difference of 18.7%), unemployment among seniors over 75 years (9.1% compared to 7.9%, a difference of 14.7%), and unemployment among ages 20 to 24 years (9.9% compared to 9.0%, a difference of 10.1%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 5.0%, a difference of 0.43%), male unemployment (5.2% compared to 5.2%, a difference of 0.66%), and unemployment (5.1% compared to 5.1%, a difference of 0.75%).

When considering labor participation, the most significant differences between Kenyan and Indonesian communities in the United States are seen in in labor force | age 45-54 (83.7% compared to 81.5%, a difference of 2.7%), in labor force | age > 16 (67.6% compared to 66.3%, a difference of 1.9%), and in labor force | age 35-44 (85.2% compared to 83.7%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 77.2%, a difference of 0.28%), in labor force | age 25-29 (85.4% compared to 84.7%, a difference of 0.80%), and in labor force | age 30-34 (85.4% compared to 84.3%, a difference of 1.3%).

When considering family structure, the most significant differences between Kenyan and Indonesian communities in the United States are seen in births to unmarried women (31.9% compared to 35.0%, a difference of 9.7%), single father households (2.4% compared to 2.6%, a difference of 7.8%), and single mother households (7.0% compared to 7.5%, a difference of 7.5%). Conversely, both communities are more comparable in terms of family households with children (28.4% compared to 28.1%, a difference of 0.95%), average family size (3.21 compared to 3.28, a difference of 1.9%), and family households (63.2% compared to 61.5%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Kenyan and Indonesian communities in the United States are seen in no vehicles in household (9.7% compared to 10.3%, a difference of 6.3%), 3 or more vehicles in household (19.1% compared to 18.3%, a difference of 4.4%), and 2 or more vehicles in household (55.5% compared to 53.4%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.7%, a difference of 0.69%), 4 or more vehicles in household (6.1% compared to 6.0%, a difference of 2.2%), and 2 or more vehicles in household (55.5% compared to 53.4%, a difference of 4.0%).

When considering education level, the most significant differences between Kenyan and Indonesian communities in the United States are seen in no schooling completed (2.0% compared to 3.2%, a difference of 56.9%), doctorate degree (1.9% compared to 1.6%, a difference of 21.8%), and master's degree (15.3% compared to 12.6%, a difference of 21.3%). Conversely, both communities are more comparable in terms of 2nd grade (97.9% compared to 96.7%, a difference of 1.2%), nursery school (98.0% compared to 96.8%, a difference of 1.2%), and kindergarten (98.0% compared to 96.8%, a difference of 1.2%).

When considering disability, the most significant differences between Kenyan and Indonesian communities in the United States are seen in disability age 35 to 64 (11.4% compared to 13.2%, a difference of 16.4%), ambulatory disability (5.8% compared to 6.3%, a difference of 8.9%), and female disability (11.9% compared to 12.8%, a difference of 8.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 48.2%, a difference of 1.9%), disability age 5 to 17 (5.8% compared to 5.9%, a difference of 2.1%), and cognitive disability (18.1% compared to 18.7%, a difference of 3.1%).