Afghan vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 137,007,042 people shows a poor positive correlation between the proportion of Immigrants from Eastern Africa within Afghan communities in the United States with a correlation coefficient (R) of 0.166. On average, for every 1% (one percent) increase in Afghans within a typical geography, there is an increase of 0.136% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Afghans corresponds to an increase of 135.8 Immigrants from Eastern Africa.

When considering income, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in median household income ($97,026 compared to $84,299, a difference of 15.1%), householder income ages 45 - 64 years ($112,676 compared to $98,467, a difference of 14.4%), and householder income ages 25 - 44 years ($104,410 compared to $91,458, a difference of 14.2%). Conversely, both communities are more comparable in terms of per capita income ($46,268 compared to $43,838, a difference of 5.5%), median female earnings ($43,077 compared to $40,644, a difference of 6.0%), and median earnings ($51,112 compared to $46,969, a difference of 8.8%).

When considering poverty, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in single male poverty (10.7% compared to 12.3%, a difference of 14.9%), female poverty among 18-24 year olds (19.0% compared to 21.4%, a difference of 13.0%), and seniors poverty over the age of 65 (9.8% compared to 11.0%, a difference of 12.5%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (13.0% compared to 13.6%, a difference of 4.4%), single father poverty (14.0% compared to 14.7%, a difference of 5.4%), and single mother poverty (27.7% compared to 29.3%, a difference of 5.8%).

When considering unemployment, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.6% compared to 8.9%, a difference of 16.9%), unemployment among ages 30 to 34 years (5.5% compared to 5.0%, a difference of 8.6%), and unemployment among ages 25 to 29 years (6.4% compared to 6.0%, a difference of 5.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.050%), unemployment among ages 20 to 24 years (9.6% compared to 9.5%, a difference of 0.61%), and unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 1.1%).

When considering labor participation, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 16-19 (36.1% compared to 40.4%, a difference of 11.9%), in labor force | age 20-24 (75.2% compared to 77.5%, a difference of 3.1%), and in labor force | age > 16 (67.1% compared to 68.5%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.9%, a difference of 0.55%), in labor force | age 35-44 (84.6% compared to 85.4%, a difference of 0.95%), and in labor force | age 20-64 (80.3% compared to 81.3%, a difference of 1.3%).

When considering family structure, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in married-couple households (48.0% compared to 42.9%, a difference of 11.8%), births to unmarried women (27.9% compared to 31.0%, a difference of 11.0%), and family households with children (30.2% compared to 27.7%, a difference of 9.1%). Conversely, both communities are more comparable in terms of average family size (3.31 compared to 3.22, a difference of 3.0%), single father households (2.3% compared to 2.4%, a difference of 3.7%), and divorced or separated (11.5% compared to 12.2%, a difference of 6.2%).

When considering vehicle availability, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (7.3% compared to 5.7%, a difference of 26.6%), no vehicles in household (8.0% compared to 10.0%, a difference of 26.0%), and 3 or more vehicles in household (21.7% compared to 18.0%, a difference of 20.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.1% compared to 90.1%, a difference of 2.2%), 2 or more vehicles in household (59.0% compared to 53.7%, a difference of 9.8%), and 3 or more vehicles in household (21.7% compared to 18.0%, a difference of 20.3%).

When considering education level, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in no schooling completed (2.6% compared to 2.4%, a difference of 7.4%), doctorate degree (2.0% compared to 2.1%, a difference of 7.2%), and professional degree (4.7% compared to 4.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.9% compared to 90.9%, a difference of 0.030%), 11th grade (92.1% compared to 92.3%, a difference of 0.19%), and nursery school (97.4% compared to 97.6%, a difference of 0.22%).

When considering disability, the most significant differences between Afghan and Immigrants from Eastern Africa communities in the United States are seen in disability age under 5 (0.94% compared to 1.2%, a difference of 26.6%), disability age 35 to 64 (10.3% compared to 11.3%, a difference of 10.6%), and disability age 18 to 34 (6.1% compared to 6.7%, a difference of 9.4%). Conversely, both communities are more comparable in terms of hearing disability (2.7% compared to 2.8%, a difference of 2.0%), ambulatory disability (5.5% compared to 5.6%, a difference of 2.3%), and disability age over 75 (48.4% compared to 47.2%, a difference of 2.6%).