Immigrants from Hong Kong vs Nepalese Community Comparison

The statistical analysis conducted on geographies consisting of 22,115,362 people shows a moderate negative correlation between the proportion of Nepalese within Immigrant from Hong Kong communities in the United States with a correlation coefficient (R) of -0.444. On average, for every 1% (one percent) increase in Immigrants from Hong Kong within a typical geography, there is a decrease of 0.045% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hong Kong corresponds to a decrease of 44.5 Nepalese.

When considering income, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in per capita income ($56,709 compared to $38,442, a difference of 47.5%), median male earnings ($70,146 compared to $49,458, a difference of 41.8%), and householder income ages 25 - 44 years ($128,140 compared to $91,498, a difference of 40.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($62,083 compared to $54,472, a difference of 14.0%), wage/income gap (25.5% compared to 22.2%, a difference of 14.9%), and householder income over 65 years ($71,567 compared to $58,761, a difference of 21.8%).

When considering poverty, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in receiving food stamps (9.1% compared to 14.6%, a difference of 60.7%), child poverty among girls under 16 (12.3% compared to 18.6%, a difference of 50.9%), and child poverty under the age of 16 (12.1% compared to 18.2%, a difference of 49.6%). Conversely, both communities are more comparable in terms of single father poverty (14.2% compared to 14.4%, a difference of 1.3%), seniors poverty over the age of 75 (12.8% compared to 12.6%, a difference of 1.7%), and seniors poverty over the age of 65 (11.1% compared to 11.5%, a difference of 3.9%).

When considering unemployment, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in unemployment among women with children under 6 years (5.8% compared to 7.7%, a difference of 32.7%), unemployment among seniors over 75 years (7.6% compared to 10.1%, a difference of 32.2%), and unemployment among women with children under 18 years (4.7% compared to 6.0%, a difference of 28.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.36%), unemployment among ages 60 to 64 years (5.2% compared to 5.2%, a difference of 1.0%), and unemployment among ages 20 to 24 years (10.5% compared to 10.6%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in in labor force | age 16-19 (30.5% compared to 33.5%, a difference of 10.0%), in labor force | age 20-24 (71.6% compared to 74.5%, a difference of 4.0%), and in labor force | age 45-54 (83.6% compared to 80.5%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.0% compared to 82.9%, a difference of 2.6%), in labor force | age > 16 (65.7% compared to 63.8%, a difference of 3.0%), and in labor force | age 35-44 (85.2% compared to 82.4%, a difference of 3.4%).

When considering family structure, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in single father households (1.8% compared to 3.1%, a difference of 70.2%), single mother households (4.8% compared to 7.5%, a difference of 54.2%), and births to unmarried women (23.6% compared to 33.5%, a difference of 42.2%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 67.2%, a difference of 1.6%), average family size (3.26 compared to 3.42, a difference of 5.0%), and married-couple households (49.6% compared to 45.6%, a difference of 8.9%).

When considering vehicle availability, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in no vehicles in household (11.3% compared to 7.4%, a difference of 52.9%), 4 or more vehicles in household (6.5% compared to 8.7%, a difference of 35.0%), and 3 or more vehicles in household (19.2% compared to 24.9%, a difference of 30.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.7% compared to 92.6%, a difference of 4.4%), 2 or more vehicles in household (52.6% compared to 61.4%, a difference of 16.9%), and 3 or more vehicles in household (19.2% compared to 24.9%, a difference of 30.1%).

When considering education level, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in doctorate degree (2.8% compared to 1.3%, a difference of 121.3%), professional degree (6.4% compared to 3.2%, a difference of 98.0%), and master's degree (20.5% compared to 10.5%, a difference of 95.4%). Conversely, both communities are more comparable in terms of 1st grade (97.3% compared to 96.1%, a difference of 1.2%), nursery school (97.4% compared to 96.2%, a difference of 1.2%), and kindergarten (97.3% compared to 96.2%, a difference of 1.2%).

When considering disability, the most significant differences between Immigrants from Hong Kong and Nepalese communities in the United States are seen in disability age 35 to 64 (8.2% compared to 12.8%, a difference of 56.4%), disability age 65 to 74 (19.9% compared to 28.0%, a difference of 41.2%), and disability age 18 to 34 (5.2% compared to 7.1%, a difference of 36.4%). Conversely, both communities are more comparable in terms of disability age under 5 (0.95% compared to 0.97%, a difference of 2.8%), cognitive disability (16.0% compared to 18.0%, a difference of 12.2%), and disability age over 75 (46.5% compared to 52.6%, a difference of 13.2%).