Indian (Asian) vs Black/African American Community Comparison

The statistical analysis conducted on geographies consisting of 491,353,408 people shows a substantial negative correlation between the proportion of Blacks/African Americans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.574. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.157% in Blacks/African Americans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 157.3 Blacks/African Americans.

When considering income, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $73,370, a difference of 62.9%), median household income ($105,262 compared to $67,573, a difference of 55.8%), and householder income ages 45 - 64 years ($122,343 compared to $78,556, a difference of 55.7%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 21.7%, a difference of 21.7%), householder income under 25 years ($58,239 compared to $44,381, a difference of 31.2%), and median female earnings ($46,481 compared to $35,315, a difference of 31.6%).

When considering poverty, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 25.7%, a difference of 91.0%), child poverty under the age of 16 (13.1% compared to 24.4%, a difference of 86.0%), and child poverty among girls under 16 (13.3% compared to 24.7%, a difference of 85.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.7% compared to 14.6%, a difference of 15.0%), seniors poverty over the age of 65 (11.1% compared to 13.7%, a difference of 23.5%), and female poverty among 18-24 year olds (19.6% compared to 24.3%, a difference of 24.0%).

When considering unemployment, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 10.3%, a difference of 63.1%), unemployment among women with children under 18 years (4.9% compared to 7.3%, a difference of 48.2%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 11.4%, a difference of 47.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.3%, a difference of 5.9%), unemployment among seniors over 65 years (5.2% compared to 5.5%, a difference of 7.3%), and unemployment among ages 65 to 74 years (5.3% compared to 5.8%, a difference of 7.9%).

When considering labor participation, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 36.5%, a difference of 14.5%), in labor force | age 45-54 (83.3% compared to 79.3%, a difference of 5.0%), and in labor force | age 20-64 (79.9% compared to 76.8%, a difference of 4.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 82.6%, a difference of 2.6%), in labor force | age 20-24 (71.9% compared to 73.9%, a difference of 2.7%), and in labor force | age 30-34 (85.4% compared to 82.8%, a difference of 3.1%).

When considering family structure, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in single mother households (5.1% compared to 9.0%, a difference of 76.0%), births to unmarried women (25.3% compared to 44.3%, a difference of 75.3%), and divorced or separated (10.2% compared to 13.6%, a difference of 33.6%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.27, a difference of 0.94%), family households with children (27.6% compared to 26.5%, a difference of 4.3%), and family households (65.1% compared to 61.5%, a difference of 5.9%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in no vehicles in household (14.1% compared to 11.9%, a difference of 18.6%), 4 or more vehicles in household (6.4% compared to 5.5%, a difference of 17.1%), and 3 or more vehicles in household (19.1% compared to 17.3%, a difference of 10.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 88.2%, a difference of 2.5%), 2 or more vehicles in household (53.1% compared to 50.9%, a difference of 4.4%), and 3 or more vehicles in household (19.1% compared to 17.3%, a difference of 10.3%).

When considering education level, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in doctorate degree (2.9% compared to 1.4%, a difference of 101.7%), professional degree (6.5% compared to 3.4%, a difference of 91.7%), and master's degree (20.5% compared to 12.1%, a difference of 69.5%). Conversely, both communities are more comparable in terms of 9th grade (94.5% compared to 94.6%, a difference of 0.19%), 10th grade (93.4% compared to 93.2%, a difference of 0.27%), and nursery school (97.6% compared to 97.9%, a difference of 0.29%).

When considering disability, the most significant differences between Indian (Asian) and Black/African American communities in the United States are seen in disability age 35 to 64 (8.9% compared to 14.7%, a difference of 66.2%), vision disability (1.8% compared to 2.8%, a difference of 50.7%), and disability age 5 to 17 (4.6% compared to 6.8%, a difference of 47.9%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 49.5%, a difference of 6.4%), hearing disability (2.7% compared to 3.0%, a difference of 12.3%), and cognitive disability (16.8% compared to 19.0%, a difference of 13.0%).