Immigrants from Zimbabwe vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 116,646,970 people shows a poor negative correlation between the proportion of Indians (Asian) within Immigrant from Zimbabwe communities in the United States with a correlation coefficient (R) of -0.167. On average, for every 1% (one percent) increase in Immigrants from Zimbabwe within a typical geography, there is a decrease of 0.366% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Zimbabwe corresponds to a decrease of 366.0 Indians (Asian).

When considering income, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($97,880 compared to $119,496, a difference of 22.1%), median household income ($89,496 compared to $105,262, a difference of 17.6%), and householder income ages 45 - 64 years ($104,992 compared to $122,343, a difference of 16.5%). Conversely, both communities are more comparable in terms of wage/income gap (25.3% compared to 26.4%, a difference of 4.4%), householder income over 65 years ($63,643 compared to $70,238, a difference of 10.4%), and median female earnings ($41,527 compared to $46,481, a difference of 11.9%).

When considering poverty, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (15.8% compared to 13.4%, a difference of 17.7%), child poverty among girls under 16 (15.3% compared to 13.3%, a difference of 14.7%), and child poverty among boys under 16 (15.2% compared to 13.3%, a difference of 14.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.6%, a difference of 1.1%), male poverty (10.5% compared to 10.4%, a difference of 1.3%), and poverty (11.6% compared to 11.3%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 8.0%, a difference of 13.4%), unemployment among women with children under 6 years (7.1% compared to 6.3%, a difference of 12.9%), and unemployment among ages 55 to 59 years (4.5% compared to 4.9%, a difference of 11.0%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.19%), unemployment among ages 25 to 29 years (6.1% compared to 6.3%, a difference of 2.4%), and unemployment among ages 35 to 44 years (4.3% compared to 4.4%, a difference of 2.5%).

When considering labor participation, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 31.9%, a difference of 19.2%), in labor force | age 20-24 (75.9% compared to 71.9%, a difference of 5.5%), and in labor force | age > 16 (66.8% compared to 65.5%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.4% compared to 83.3%, a difference of 0.040%), in labor force | age 30-34 (85.1% compared to 85.4%, a difference of 0.26%), and in labor force | age 35-44 (85.2% compared to 84.8%, a difference of 0.49%).

When considering family structure, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in single mother households (6.2% compared to 5.1%, a difference of 20.7%), births to unmarried women (30.3% compared to 25.3%, a difference of 20.1%), and single father households (2.2% compared to 1.9%, a difference of 17.7%). Conversely, both communities are more comparable in terms of family households with children (27.8% compared to 27.6%, a difference of 0.89%), average family size (3.19 compared to 3.24, a difference of 1.7%), and family households (63.5% compared to 65.1%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in no vehicles in household (9.9% compared to 14.1%, a difference of 42.7%), 4 or more vehicles in household (6.0% compared to 6.4%, a difference of 6.4%), and 1 or more vehicles in household (90.2% compared to 86.0%, a difference of 4.8%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.1%, a difference of 0.050%), 2 or more vehicles in household (55.6% compared to 53.1%, a difference of 4.7%), and 1 or more vehicles in household (90.2% compared to 86.0%, a difference of 4.8%).

When considering education level, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in doctorate degree (2.2% compared to 2.9%, a difference of 33.2%), no schooling completed (1.9% compared to 2.5%, a difference of 32.7%), and professional degree (5.3% compared to 6.5%, a difference of 23.7%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.1%, a difference of 0.020%), nursery school (98.2% compared to 97.6%, a difference of 0.56%), and kindergarten (98.2% compared to 97.6%, a difference of 0.57%).

When considering disability, the most significant differences between Immigrants from Zimbabwe and Indian (Asian) communities in the United States are seen in disability age 5 to 17 (5.5% compared to 4.6%, a difference of 20.9%), disability age 18 to 34 (6.7% compared to 5.5%, a difference of 20.3%), and disability age 35 to 64 (10.6% compared to 8.9%, a difference of 20.3%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.5%, a difference of 1.4%), self-care disability (2.3% compared to 2.3%, a difference of 4.0%), and cognitive disability (17.5% compared to 16.8%, a difference of 4.1%).