Immigrants from Nepal vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 181,872,717 people shows a weak negative correlation between the proportion of Immigrants from China within Immigrant from Nepal communities in the United States with a correlation coefficient (R) of -0.240. On average, for every 1% (one percent) increase in Immigrants from Nepal within a typical geography, there is a decrease of 0.133% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Nepal corresponds to a decrease of 132.7 Immigrants from China.

When considering income, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($95,322 compared to $119,756, a difference of 25.6%), per capita income ($44,187 compared to $54,264, a difference of 22.8%), and median male earnings ($55,615 compared to $67,353, a difference of 21.1%). Conversely, both communities are more comparable in terms of wage/income gap (24.9% compared to 26.7%, a difference of 7.3%), householder income under 25 years ($52,611 compared to $57,931, a difference of 10.1%), and householder income over 65 years ($61,843 compared to $69,174, a difference of 11.8%).

When considering poverty, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (16.6% compared to 13.6%, a difference of 22.1%), child poverty under the age of 16 (15.7% compared to 13.3%, a difference of 18.4%), and child poverty among girls under 16 (15.9% compared to 13.4%, a difference of 18.1%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 14.9%, a difference of 0.98%), female poverty among 18-24 year olds (20.7% compared to 20.2%, a difference of 2.4%), and male poverty (11.0% compared to 10.7%, a difference of 3.1%).

When considering unemployment, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in unemployment among ages 60 to 64 years (4.5% compared to 5.1%, a difference of 13.6%), unemployment among seniors over 65 years (4.7% compared to 5.2%, a difference of 11.4%), and unemployment among ages 20 to 24 years (9.4% compared to 10.4%, a difference of 10.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.1% compared to 4.9%, a difference of 2.7%), female unemployment (4.9% compared to 5.2%, a difference of 5.0%), and unemployment among ages 35 to 44 years (4.2% compared to 4.4%, a difference of 5.1%).

When considering labor participation, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (38.3% compared to 31.1%, a difference of 23.1%), in labor force | age 20-24 (76.0% compared to 71.1%, a difference of 7.0%), and in labor force | age > 16 (68.0% compared to 65.4%, a difference of 4.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.6% compared to 85.4%, a difference of 0.29%), in labor force | age 35-44 (85.3% compared to 84.7%, a difference of 0.67%), and in labor force | age 45-54 (84.0% compared to 83.2%, a difference of 1.0%).

When considering family structure, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in single mother households (6.4% compared to 5.1%, a difference of 26.7%), single father households (2.2% compared to 1.8%, a difference of 20.9%), and births to unmarried women (29.6% compared to 24.7%, a difference of 19.8%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.23, a difference of 0.69%), family households (62.7% compared to 64.7%, a difference of 3.2%), and family households with children (28.4% compared to 27.4%, a difference of 3.5%).

When considering vehicle availability, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in no vehicles in household (10.5% compared to 15.2%, a difference of 44.2%), 4 or more vehicles in household (5.6% compared to 6.0%, a difference of 8.3%), and 1 or more vehicles in household (89.5% compared to 84.9%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (17.6% compared to 18.2%, a difference of 3.3%), 2 or more vehicles in household (53.5% compared to 51.5%, a difference of 4.0%), and 1 or more vehicles in household (89.5% compared to 84.9%, a difference of 5.4%).

When considering education level, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in doctorate degree (2.2% compared to 3.1%, a difference of 41.8%), professional degree (4.8% compared to 6.7%, a difference of 40.6%), and master's degree (17.0% compared to 21.2%, a difference of 24.9%). Conversely, both communities are more comparable in terms of high school diploma (89.3% compared to 89.3%, a difference of 0.010%), 11th grade (92.4% compared to 92.3%, a difference of 0.13%), and 12th grade, no diploma (91.2% compared to 91.3%, a difference of 0.14%).

When considering disability, the most significant differences between Immigrants from Nepal and Immigrants from China communities in the United States are seen in disability age 5 to 17 (5.5% compared to 4.5%, a difference of 21.9%), disability age 35 to 64 (10.6% compared to 8.7%, a difference of 21.3%), and disability age 18 to 34 (6.3% compared to 5.4%, a difference of 15.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.6% compared to 46.3%, a difference of 0.63%), ambulatory disability (5.4% compared to 5.3%, a difference of 1.6%), and hearing disability (2.7% compared to 2.6%, a difference of 3.3%).