Immigrants from Congo vs Immigrants from Nepal Community Comparison

The statistical analysis conducted on geographies consisting of 73,287,731 people shows a poor positive correlation between the proportion of Immigrants from Nepal within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.195. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.355% in Immigrants from Nepal. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 355.0 Immigrants from Nepal.

When considering income, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in householder income ages 25 - 44 years ($72,178 compared to $95,322, a difference of 32.1%), householder income ages 45 - 64 years ($77,850 compared to $102,190, a difference of 31.3%), and median household income ($66,768 compared to $87,046, a difference of 30.4%). Conversely, both communities are more comparable in terms of wage/income gap (21.7% compared to 24.9%, a difference of 14.7%), median female earnings ($34,317 compared to $40,704, a difference of 18.6%), and householder income over 65 years ($51,393 compared to $61,843, a difference of 20.3%).

When considering poverty, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in child poverty under the age of 5 (23.9% compared to 16.6%, a difference of 43.8%), child poverty among girls under 16 (22.7% compared to 15.9%, a difference of 43.5%), and child poverty under the age of 16 (22.5% compared to 15.7%, a difference of 43.3%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 14.8%, a difference of 4.0%), seniors poverty over the age of 75 (12.5% compared to 11.8%, a difference of 6.0%), and seniors poverty over the age of 65 (11.7% compared to 10.1%, a difference of 16.4%).

When considering unemployment, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in unemployment among women with children under 6 years (8.5% compared to 6.8%, a difference of 24.8%), unemployment among seniors over 75 years (6.7% compared to 8.3%, a difference of 23.9%), and unemployment among women with children under 18 years (6.0% compared to 5.1%, a difference of 18.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.3% compared to 16.3%, a difference of 0.34%), unemployment among youth under 25 years (10.9% compared to 10.8%, a difference of 0.36%), and unemployment among ages 20 to 24 years (9.2% compared to 9.4%, a difference of 1.9%).

When considering labor participation, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 38.3%, a difference of 8.8%), in labor force | age 45-54 (81.6% compared to 84.0%, a difference of 3.1%), and in labor force | age 20-64 (79.3% compared to 81.1%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.6% compared to 85.6%, a difference of 1.3%), in labor force | age > 16 (67.1% compared to 68.0%, a difference of 1.4%), and in labor force | age 20-24 (77.4% compared to 76.0%, a difference of 1.8%).

When considering family structure, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in single mother households (8.1% compared to 6.4%, a difference of 26.6%), births to unmarried women (36.8% compared to 29.6%, a difference of 24.4%), and divorced or separated (13.5% compared to 11.6%, a difference of 16.5%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.21, a difference of 0.74%), family households with children (27.3% compared to 28.4%, a difference of 4.1%), and family households (59.2% compared to 62.7%, a difference of 5.8%).

When considering vehicle availability, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 5.6%, a difference of 6.1%), no vehicles in household (10.1% compared to 10.5%, a difference of 4.6%), and 3 or more vehicles in household (17.0% compared to 17.6%, a difference of 3.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 89.5%, a difference of 0.53%), 2 or more vehicles in household (52.1% compared to 53.5%, a difference of 2.7%), and 3 or more vehicles in household (17.0% compared to 17.6%, a difference of 3.9%).

When considering education level, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in doctorate degree (1.6% compared to 2.2%, a difference of 36.6%), master's degree (12.6% compared to 17.0%, a difference of 34.2%), and professional degree (3.6% compared to 4.8%, a difference of 31.3%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.7%, a difference of 0.13%), kindergarten (97.6% compared to 97.7%, a difference of 0.13%), and 1st grade (97.5% compared to 97.7%, a difference of 0.14%).

When considering disability, the most significant differences between Immigrants from Congo and Immigrants from Nepal communities in the United States are seen in disability age 35 to 64 (13.3% compared to 10.6%, a difference of 26.1%), vision disability (2.3% compared to 1.9%, a difference of 19.8%), and ambulatory disability (6.2% compared to 5.4%, a difference of 15.6%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.0%, a difference of 2.4%), disability age over 75 (48.7% compared to 46.6%, a difference of 4.6%), and hearing disability (2.9% compared to 2.7%, a difference of 7.1%).