Immigrants from Congo vs Immigrants from Cambodia Community Comparison

The statistical analysis conducted on geographies consisting of 67,473,437 people shows no correlation between the proportion of Immigrants from Cambodia within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.047. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.016% in Immigrants from Cambodia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 15.6 Immigrants from Cambodia.

When considering income, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in householder income ages 25 - 44 years ($72,178 compared to $91,533, a difference of 26.8%), median household income ($66,768 compared to $83,304, a difference of 24.8%), and householder income ages 45 - 64 years ($77,850 compared to $96,537, a difference of 24.0%). Conversely, both communities are more comparable in terms of wage/income gap (21.7% compared to 23.3%, a difference of 7.3%), householder income over 65 years ($51,393 compared to $57,580, a difference of 12.0%), and median female earnings ($34,317 compared to $38,833, a difference of 13.2%).

When considering poverty, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in child poverty under the age of 5 (23.9% compared to 18.1%, a difference of 32.3%), female poverty among 18-24 year olds (24.6% compared to 18.8%, a difference of 30.8%), and child poverty under the age of 16 (22.5% compared to 17.8%, a difference of 26.3%). Conversely, both communities are more comparable in terms of receiving food stamps (14.1% compared to 13.9%, a difference of 1.9%), single father poverty (15.4% compared to 14.9%, a difference of 3.0%), and seniors poverty over the age of 65 (11.7% compared to 12.4%, a difference of 5.5%).

When considering unemployment, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in unemployment among ages 60 to 64 years (4.1% compared to 5.1%, a difference of 22.6%), unemployment among seniors over 75 years (6.7% compared to 8.0%, a difference of 18.5%), and unemployment among women with children ages 6 to 17 years (9.0% compared to 7.9%, a difference of 14.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.4% compared to 6.6%, a difference of 3.4%), female unemployment (5.3% compared to 5.5%, a difference of 4.6%), and unemployment among ages 45 to 54 years (4.4% compared to 4.7%, a difference of 4.8%).

When considering labor participation, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 36.7%, a difference of 13.5%), in labor force | age 20-24 (77.4% compared to 75.4%, a difference of 2.7%), and in labor force | age > 16 (67.1% compared to 66.0%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.3% compared to 79.3%, a difference of 0.0%), in labor force | age 25-29 (84.2% compared to 84.4%, a difference of 0.19%), and in labor force | age 30-34 (84.6% compared to 84.7%, a difference of 0.23%).

When considering family structure, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in married-couple households (39.0% compared to 44.9%, a difference of 15.0%), divorced or separated (13.5% compared to 11.8%, a difference of 13.6%), and single mother households (8.1% compared to 7.2%, a difference of 12.3%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.33, a difference of 3.1%), family households with children (27.3% compared to 28.9%, a difference of 5.7%), and single father households (2.5% compared to 2.7%, a difference of 5.7%).

When considering vehicle availability, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 7.4%, a difference of 40.7%), 3 or more vehicles in household (17.0% compared to 21.1%, a difference of 24.1%), and 2 or more vehicles in household (52.1% compared to 56.2%, a difference of 7.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 89.8%, a difference of 0.19%), no vehicles in household (10.1% compared to 10.2%, a difference of 1.5%), and 2 or more vehicles in household (52.1% compared to 56.2%, a difference of 7.9%).

When considering education level, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in no schooling completed (2.4% compared to 3.5%, a difference of 46.3%), doctorate degree (1.6% compared to 1.5%, a difference of 4.3%), and master's degree (12.6% compared to 12.9%, a difference of 2.1%). Conversely, both communities are more comparable in terms of professional degree (3.6% compared to 3.6%, a difference of 0.040%), college, 1 year or more (55.6% compared to 55.4%, a difference of 0.21%), and college, under 1 year (61.7% compared to 61.5%, a difference of 0.30%).

When considering disability, the most significant differences between Immigrants from Congo and Immigrants from Cambodia communities in the United States are seen in self-care disability (2.4% compared to 2.7%, a difference of 13.0%), disability age 35 to 64 (13.3% compared to 12.0%, a difference of 11.0%), and disability age under 5 (1.1% compared to 1.2%, a difference of 10.1%). Conversely, both communities are more comparable in terms of ambulatory disability (6.2% compared to 6.2%, a difference of 0.27%), vision disability (2.3% compared to 2.3%, a difference of 0.32%), and female disability (12.7% compared to 12.5%, a difference of 1.4%).