Immigrants from Congo vs Immigrants from Zimbabwe Community Comparison

The statistical analysis conducted on geographies consisting of 55,542,608 people shows a moderate positive correlation between the proportion of Immigrants from Zimbabwe within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.405. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.106% in Immigrants from Zimbabwe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 105.6 Immigrants from Zimbabwe.

When considering income, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in householder income ages 25 - 44 years ($72,178 compared to $97,880, a difference of 35.6%), householder income ages 45 - 64 years ($77,850 compared to $104,992, a difference of 34.9%), and median household income ($66,768 compared to $89,496, a difference of 34.0%). Conversely, both communities are more comparable in terms of wage/income gap (21.7% compared to 25.3%, a difference of 16.8%), householder income under 25 years ($43,266 compared to $51,914, a difference of 20.0%), and median female earnings ($34,317 compared to $41,527, a difference of 21.0%).

When considering poverty, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in child poverty under the age of 5 (23.9% compared to 15.8%, a difference of 50.9%), child poverty under the age of 16 (22.5% compared to 15.0%, a difference of 50.1%), and child poverty among girls under 16 (22.7% compared to 15.3%, a difference of 48.9%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 16.1%, a difference of 4.8%), seniors poverty over the age of 75 (12.5% compared to 11.7%, a difference of 6.2%), and single male poverty (13.9% compared to 12.6%, a difference of 10.2%).

When considering unemployment, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in unemployment among seniors over 75 years (6.7% compared to 9.0%, a difference of 34.2%), unemployment among women with children under 6 years (8.5% compared to 7.1%, a difference of 19.1%), and unemployment among women with children under 18 years (6.0% compared to 5.2%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (10.9% compared to 10.8%, a difference of 0.070%), unemployment among ages 16 to 19 years (16.3% compared to 16.3%, a difference of 0.56%), and unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 38.0%, a difference of 9.8%), in labor force | age 45-54 (81.6% compared to 83.4%, a difference of 2.2%), and in labor force | age 35-44 (83.5% compared to 85.2%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (67.1% compared to 66.8%, a difference of 0.44%), in labor force | age 30-34 (84.6% compared to 85.1%, a difference of 0.70%), and in labor force | age 25-29 (84.2% compared to 85.2%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in single mother households (8.1% compared to 6.2%, a difference of 31.6%), births to unmarried women (36.8% compared to 30.3%, a difference of 21.3%), and married-couple households (39.0% compared to 46.3%, a difference of 18.7%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.19, a difference of 1.2%), family households with children (27.3% compared to 27.8%, a difference of 1.9%), and family households (59.2% compared to 63.5%, a difference of 7.1%).

When considering vehicle availability, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 6.0%, a difference of 15.2%), 3 or more vehicles in household (17.0% compared to 19.1%, a difference of 12.6%), and 2 or more vehicles in household (52.1% compared to 55.6%, a difference of 6.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 90.2%, a difference of 0.22%), no vehicles in household (10.1% compared to 9.9%, a difference of 2.0%), and 2 or more vehicles in household (52.1% compared to 55.6%, a difference of 6.6%).

When considering education level, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in professional degree (3.6% compared to 5.3%, a difference of 44.7%), master's degree (12.6% compared to 17.4%, a difference of 38.0%), and doctorate degree (1.6% compared to 2.2%, a difference of 37.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.2%, a difference of 0.58%), kindergarten (97.6% compared to 98.2%, a difference of 0.59%), and 1st grade (97.5% compared to 98.1%, a difference of 0.60%).

When considering disability, the most significant differences between Immigrants from Congo and Immigrants from Zimbabwe communities in the United States are seen in disability age 35 to 64 (13.3% compared to 10.6%, a difference of 25.0%), disability age 65 to 74 (26.0% compared to 22.3%, a difference of 16.8%), and disability age under 5 (1.1% compared to 1.2%, a difference of 12.7%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 3.0%, a difference of 1.8%), disability age over 75 (48.7% compared to 47.2%, a difference of 3.3%), and self-care disability (2.4% compared to 2.3%, a difference of 4.6%).