Immigrants from Nepal vs Immigrants from Ethiopia Community Comparison

The statistical analysis conducted on geographies consisting of 128,693,413 people shows a weak positive correlation between the proportion of Immigrants from Ethiopia within Immigrant from Nepal communities in the United States with a correlation coefficient (R) of 0.295. On average, for every 1% (one percent) increase in Immigrants from Nepal within a typical geography, there is an increase of 0.232% in Immigrants from Ethiopia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Nepal corresponds to an increase of 231.8 Immigrants from Ethiopia.

When considering income, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in wage/income gap (24.9% compared to 21.6%, a difference of 15.3%), householder income over 65 years ($61,843 compared to $65,238, a difference of 5.5%), and median female earnings ($40,704 compared to $42,744, a difference of 5.0%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($95,322 compared to $95,256, a difference of 0.070%), median male earnings ($55,615 compared to $55,434, a difference of 0.33%), and householder income ages 45 - 64 years ($102,190 compared to $102,763, a difference of 0.56%).

When considering poverty, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in single father poverty (14.8% compared to 13.4%, a difference of 10.0%), married-couple family poverty (4.7% compared to 5.1%, a difference of 7.0%), and seniors poverty over the age of 65 (10.1% compared to 10.7%, a difference of 6.2%). Conversely, both communities are more comparable in terms of female poverty (13.3% compared to 13.3%, a difference of 0.030%), poverty (12.2% compared to 12.2%, a difference of 0.18%), and child poverty under the age of 5 (16.6% compared to 16.6%, a difference of 0.33%).

When considering unemployment, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in unemployment among ages 16 to 19 years (16.3% compared to 17.8%, a difference of 9.0%), unemployment among ages 35 to 44 years (4.2% compared to 4.5%, a difference of 8.4%), and unemployment among ages 60 to 64 years (4.5% compared to 4.8%, a difference of 7.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.8% compared to 6.9%, a difference of 0.98%), unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 1.6%), and unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 1.7%).

When considering labor participation, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in in labor force | age > 16 (68.0% compared to 69.4%, a difference of 2.0%), in labor force | age 20-24 (76.0% compared to 77.5%, a difference of 2.0%), and in labor force | age 20-64 (81.1% compared to 82.1%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.8% compared to 86.1%, a difference of 0.39%), in labor force | age 16-19 (38.3% compared to 38.6%, a difference of 0.64%), and in labor force | age 35-44 (85.3% compared to 85.9%, a difference of 0.74%).

When considering family structure, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in single father households (2.2% compared to 2.4%, a difference of 8.3%), married-couple households (45.2% compared to 43.1%, a difference of 5.0%), and divorced or separated (11.6% compared to 12.1%, a difference of 4.6%). Conversely, both communities are more comparable in terms of births to unmarried women (29.6% compared to 29.7%, a difference of 0.42%), average family size (3.21 compared to 3.25, a difference of 1.4%), and family households with children (28.4% compared to 27.8%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 5.7%, a difference of 3.0%), 3 or more vehicles in household (17.6% compared to 17.9%, a difference of 1.5%), and 2 or more vehicles in household (53.5% compared to 53.0%, a difference of 0.96%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.5% compared to 89.6%, a difference of 0.060%), no vehicles in household (10.5% compared to 10.4%, a difference of 0.75%), and 2 or more vehicles in household (53.5% compared to 53.0%, a difference of 0.96%).

When considering education level, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in professional degree (4.8% compared to 5.3%, a difference of 11.7%), doctorate degree (2.2% compared to 2.4%, a difference of 8.0%), and no schooling completed (2.3% compared to 2.5%, a difference of 7.7%). Conversely, both communities are more comparable in terms of kindergarten (97.7% compared to 97.5%, a difference of 0.17%), nursery school (97.7% compared to 97.6%, a difference of 0.18%), and 1st grade (97.7% compared to 97.5%, a difference of 0.18%).

When considering disability, the most significant differences between Immigrants from Nepal and Immigrants from Ethiopia communities in the United States are seen in disability age under 5 (1.0% compared to 1.1%, a difference of 5.9%), disability age 5 to 17 (5.5% compared to 5.4%, a difference of 2.4%), and vision disability (1.9% compared to 2.0%, a difference of 2.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.6% compared to 46.8%, a difference of 0.38%), disability age 65 to 74 (22.6% compared to 22.7%, a difference of 0.57%), and female disability (11.3% compared to 11.2%, a difference of 0.66%).