Immigrants from Congo vs Immigrants from Yemen Community Comparison

The statistical analysis conducted on geographies consisting of 43,836,397 people shows a significant positive correlation between the proportion of Immigrants from Yemen within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.619. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.387% in Immigrants from Yemen. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 387.3 Immigrants from Yemen.

When considering income, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in householder income over 65 years ($51,393 compared to $47,527, a difference of 8.1%), median family income ($82,216 compared to $77,457, a difference of 6.1%), and per capita income ($35,720 compared to $33,696, a difference of 6.0%). Conversely, both communities are more comparable in terms of median male earnings ($44,204 compared to $44,083, a difference of 0.27%), householder income under 25 years ($43,266 compared to $43,591, a difference of 0.75%), and median earnings ($39,169 compared to $39,540, a difference of 0.95%).

When considering poverty, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in married-couple family poverty (6.1% compared to 12.8%, a difference of 108.5%), receiving food stamps (14.1% compared to 21.6%, a difference of 52.9%), and family poverty (11.9% compared to 17.5%, a difference of 46.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (24.6% compared to 27.5%, a difference of 12.1%), single mother poverty (33.8% compared to 38.5%, a difference of 14.0%), and single female poverty (25.3% compared to 28.9%, a difference of 14.4%).

When considering unemployment, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in unemployment among seniors over 75 years (6.7% compared to 16.5%, a difference of 144.9%), unemployment among seniors over 65 years (4.5% compared to 8.2%, a difference of 82.3%), and unemployment among ages 65 to 74 years (4.7% compared to 8.3%, a difference of 74.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.3% compared to 20.0%, a difference of 23.3%), unemployment among ages 25 to 29 years (6.4% compared to 8.0%, a difference of 24.5%), and unemployment among women with children under 18 years (6.0% compared to 8.2%, a difference of 37.1%).

When considering labor participation, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 31.5%, a difference of 32.3%), in labor force | age > 16 (67.1% compared to 59.6%, a difference of 12.5%), and in labor force | age 20-24 (77.4% compared to 68.9%, a difference of 12.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 78.2%, a difference of 7.6%), in labor force | age 30-34 (84.6% compared to 78.2%, a difference of 8.2%), and in labor force | age 35-44 (83.5% compared to 76.3%, a difference of 9.5%).

When considering family structure, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in divorced or separated (13.5% compared to 11.3%, a difference of 19.1%), births to unmarried women (36.8% compared to 31.7%, a difference of 16.2%), and single father households (2.5% compared to 2.2%, a difference of 15.9%). Conversely, both communities are more comparable in terms of currently married (41.1% compared to 42.1%, a difference of 2.4%), family households (59.2% compared to 63.0%, a difference of 6.3%), and married-couple households (39.0% compared to 42.0%, a difference of 7.6%).

When considering vehicle availability, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in no vehicles in household (10.1% compared to 19.5%, a difference of 93.7%), 2 or more vehicles in household (52.1% compared to 42.8%, a difference of 21.6%), and 3 or more vehicles in household (17.0% compared to 14.2%, a difference of 19.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 80.5%, a difference of 11.8%), 4 or more vehicles in household (5.2% compared to 4.5%, a difference of 17.8%), and 3 or more vehicles in household (17.0% compared to 14.2%, a difference of 19.2%).

When considering education level, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in no schooling completed (2.4% compared to 4.1%, a difference of 72.7%), bachelor's degree (33.6% compared to 29.9%, a difference of 12.3%), and associate's degree (41.8% compared to 37.3%, a difference of 12.0%). Conversely, both communities are more comparable in terms of kindergarten (97.6% compared to 95.9%, a difference of 1.8%), nursery school (97.6% compared to 95.9%, a difference of 1.8%), and 1st grade (97.5% compared to 95.8%, a difference of 1.8%).

When considering disability, the most significant differences between Immigrants from Congo and Immigrants from Yemen communities in the United States are seen in self-care disability (2.4% compared to 3.0%, a difference of 27.2%), disability age under 5 (1.1% compared to 0.91%, a difference of 17.8%), and disability age 5 to 17 (6.2% compared to 5.3%, a difference of 16.3%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (7.1% compared to 7.0%, a difference of 2.3%), male disability (11.7% compared to 12.0%, a difference of 2.6%), and hearing disability (2.9% compared to 2.8%, a difference of 3.1%).