Pakistani vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 142,970,093 people shows no correlation between the proportion of Kenyans within Pakistani communities in the United States with a correlation coefficient (R) of -0.009. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is a decrease of 0.001% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pakistanis corresponds to a decrease of 0.8 Kenyans.

When considering income, the most significant differences between Pakistani and Kenyan communities in the United States are seen in householder income ages 25 - 44 years ($98,401 compared to $91,684, a difference of 7.3%), median household income ($89,638 compared to $84,085, a difference of 6.6%), and wage/income gap (26.1% compared to 24.5%, a difference of 6.5%). Conversely, both communities are more comparable in terms of median female earnings ($40,596 compared to $39,860, a difference of 1.8%), median earnings ($48,254 compared to $46,462, a difference of 3.9%), and householder income under 25 years ($53,325 compared to $50,815, a difference of 4.9%).

When considering poverty, the most significant differences between Pakistani and Kenyan communities in the United States are seen in receiving food stamps (10.4% compared to 11.6%, a difference of 10.8%), child poverty among girls under 16 (15.3% compared to 16.8%, a difference of 10.0%), and child poverty among boys under 16 (15.1% compared to 16.6%, a difference of 9.9%). Conversely, both communities are more comparable in terms of single male poverty (12.4% compared to 12.4%, a difference of 0.19%), seniors poverty over the age of 65 (10.3% compared to 10.3%, a difference of 0.71%), and married-couple family poverty (4.7% compared to 4.8%, a difference of 1.1%).

When considering unemployment, the most significant differences between Pakistani and Kenyan communities in the United States are seen in unemployment among ages 65 to 74 years (5.3% compared to 4.8%, a difference of 9.5%), unemployment among seniors over 65 years (5.1% compared to 4.7%, a difference of 8.1%), and unemployment among ages 16 to 19 years (17.2% compared to 16.1%, a difference of 7.1%). Conversely, both communities are more comparable in terms of male unemployment (5.2% compared to 5.2%, a difference of 0.10%), unemployment among women with children under 18 years (5.2% compared to 5.3%, a difference of 0.33%), and unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 0.39%).

When considering labor participation, the most significant differences between Pakistani and Kenyan communities in the United States are seen in in labor force | age 16-19 (37.6% compared to 40.1%, a difference of 6.9%), in labor force | age > 16 (65.8% compared to 67.6%, a difference of 2.8%), and in labor force | age 20-24 (75.8% compared to 77.0%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 85.4%, a difference of 0.69%), in labor force | age 30-34 (84.7% compared to 85.4%, a difference of 0.80%), and in labor force | age 35-44 (84.4% compared to 85.2%, a difference of 1.0%).

When considering family structure, the most significant differences between Pakistani and Kenyan communities in the United States are seen in single mother households (6.1% compared to 7.0%, a difference of 14.5%), married-couple households (47.3% compared to 44.7%, a difference of 6.0%), and births to unmarried women (30.5% compared to 31.9%, a difference of 4.6%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.21, a difference of 0.12%), family households with children (27.9% compared to 28.4%, a difference of 1.6%), and family households (64.7% compared to 63.2%, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Pakistani and Kenyan communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 6.1%, a difference of 15.2%), 3 or more vehicles in household (21.0% compared to 19.1%, a difference of 10.2%), and no vehicles in household (9.0% compared to 9.7%, a difference of 8.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.3% compared to 90.4%, a difference of 1.0%), 2 or more vehicles in household (57.9% compared to 55.5%, a difference of 4.2%), and no vehicles in household (9.0% compared to 9.7%, a difference of 8.1%).

When considering education level, the most significant differences between Pakistani and Kenyan communities in the United States are seen in professional degree (4.8% compared to 4.4%, a difference of 8.4%), doctorate degree (2.0% compared to 1.9%, a difference of 5.2%), and master's degree (15.8% compared to 15.3%, a difference of 3.0%). Conversely, both communities are more comparable in terms of 11th grade (92.8% compared to 92.9%, a difference of 0.040%), 12th grade, no diploma (91.5% compared to 91.5%, a difference of 0.040%), and nursery school (97.9% compared to 98.0%, a difference of 0.050%).

When considering disability, the most significant differences between Pakistani and Kenyan communities in the United States are seen in hearing disability (3.1% compared to 2.8%, a difference of 10.5%), self-care disability (2.4% compared to 2.3%, a difference of 6.0%), and disability age under 5 (1.3% compared to 1.2%, a difference of 6.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 47.2%, a difference of 0.86%), female disability (12.0% compared to 11.9%, a difference of 1.1%), and disability age 18 to 34 (6.7% compared to 6.8%, a difference of 1.4%).