Indian (Asian) vs Immigrants from Cameroon Community Comparison

The statistical analysis conducted on geographies consisting of 128,679,424 people shows a moderate negative correlation between the proportion of Immigrants from Cameroon within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.440. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Immigrants from Cameroon. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 2.4 Immigrants from Cameroon.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $88,214, a difference of 35.5%), per capita income ($53,874 compared to $41,334, a difference of 30.3%), and median male earnings ($66,078 compared to $52,119, a difference of 26.8%). Conversely, both communities are more comparable in terms of householder income over 65 years ($70,238 compared to $63,907, a difference of 9.9%), householder income under 25 years ($58,239 compared to $51,433, a difference of 13.2%), and median female earnings ($46,481 compared to $40,354, a difference of 15.2%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in child poverty among girls under 16 (13.3% compared to 17.4%, a difference of 30.5%), child poverty under the age of 16 (13.1% compared to 17.1%, a difference of 29.8%), and child poverty under the age of 5 (13.4% compared to 17.4%, a difference of 29.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.3%, a difference of 1.6%), single male poverty (11.3% compared to 11.5%, a difference of 2.6%), and single father poverty (14.8% compared to 15.2%, a difference of 3.0%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.6%, a difference of 36.2%), unemployment among women with children ages 6 to 17 years (7.7% compared to 9.4%, a difference of 21.2%), and unemployment among women with children under 18 years (4.9% compared to 5.9%, a difference of 20.4%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.46%), unemployment among ages 45 to 54 years (4.5% compared to 4.4%, a difference of 1.1%), and unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 1.2%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.7%, a difference of 21.5%), in labor force | age 20-24 (71.9% compared to 76.6%, a difference of 6.5%), and in labor force | age > 16 (65.5% compared to 68.7%, a difference of 4.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 86.0%, a difference of 0.79%), in labor force | age 25-29 (84.7% compared to 85.4%, a difference of 0.80%), and in labor force | age 35-44 (84.8% compared to 85.8%, a difference of 1.1%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in single mother households (5.1% compared to 7.9%, a difference of 54.2%), births to unmarried women (25.3% compared to 34.7%, a difference of 37.5%), and single father households (1.9% compared to 2.5%, a difference of 31.1%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 64.7%, a difference of 0.71%), average family size (3.24 compared to 3.30, a difference of 1.7%), and family households with children (27.6% compared to 29.2%, a difference of 5.9%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in no vehicles in household (14.1% compared to 9.6%, a difference of 46.4%), 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.1%), and 2 or more vehicles in household (53.1% compared to 55.1%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.4%, a difference of 0.21%), 3 or more vehicles in household (19.1% compared to 19.7%, a difference of 2.9%), and 2 or more vehicles in household (53.1% compared to 55.1%, a difference of 3.7%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in professional degree (6.5% compared to 4.3%, a difference of 51.8%), doctorate degree (2.9% compared to 2.0%, a difference of 47.1%), and master's degree (20.5% compared to 15.4%, a difference of 33.1%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 97.4%, a difference of 0.090%), 2nd grade (97.5% compared to 97.4%, a difference of 0.10%), and 7th grade (95.5% compared to 95.4%, a difference of 0.14%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Cameroon communities in the United States are seen in disability age under 5 (1.0% compared to 1.4%, a difference of 35.0%), disability age 5 to 17 (4.6% compared to 5.8%, a difference of 26.3%), and disability age 35 to 64 (8.9% compared to 10.9%, a difference of 23.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.4%, a difference of 0.19%), self-care disability (2.3% compared to 2.3%, a difference of 1.4%), and cognitive disability (16.8% compared to 17.6%, a difference of 4.2%).