Danish vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 63,526,674 people shows a substantial positive correlation between the proportion of Chinese within Danish communities in the United States with a correlation coefficient (R) of 0.534. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.135% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 134.6 Chinese.

When considering income, the most significant differences between Danish and Chinese communities in the United States are seen in householder income over 65 years ($63,117 compared to $77,465, a difference of 22.7%), wage/income gap (31.0% compared to 25.9%, a difference of 19.5%), and median household income ($87,676 compared to $98,496, a difference of 12.3%). Conversely, both communities are more comparable in terms of median male earnings ($56,246 compared to $56,872, a difference of 1.1%), per capita income ($44,095 compared to $46,098, a difference of 4.5%), and median earnings ($46,392 compared to $48,836, a difference of 5.3%).

When considering poverty, the most significant differences between Danish and Chinese communities in the United States are seen in single female poverty (20.7% compared to 16.1%, a difference of 28.1%), female poverty among 18-24 year olds (19.8% compared to 16.2%, a difference of 22.7%), and single male poverty (12.8% compared to 11.0%, a difference of 16.4%). Conversely, both communities are more comparable in terms of single father poverty (15.8% compared to 15.4%, a difference of 2.5%), seniors poverty over the age of 65 (8.8% compared to 8.3%, a difference of 5.7%), and receiving food stamps (9.0% compared to 9.8%, a difference of 8.1%).

When considering unemployment, the most significant differences between Danish and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.7% compared to 5.9%, a difference of 63.8%), unemployment among ages 65 to 74 years (5.2% compared to 4.4%, a difference of 16.8%), and unemployment among seniors over 65 years (4.9% compared to 4.2%, a difference of 16.6%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.0% compared to 6.1%, a difference of 0.73%), unemployment among ages 20 to 24 years (9.3% compared to 9.4%, a difference of 0.96%), and unemployment among ages 45 to 54 years (3.9% compared to 4.0%, a difference of 1.8%).

When considering labor participation, the most significant differences between Danish and Chinese communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 38.6%, a difference of 15.8%), in labor force | age 20-24 (79.0% compared to 77.3%, a difference of 2.2%), and in labor force | age 45-54 (83.3% compared to 84.1%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.53%), in labor force | age 30-34 (84.3% compared to 85.0%, a difference of 0.89%), and in labor force | age 35-44 (84.3% compared to 85.1%, a difference of 0.91%).

When considering family structure, the most significant differences between Danish and Chinese communities in the United States are seen in single father households (2.3% compared to 2.0%, a difference of 18.7%), family households with children (28.7% compared to 26.0%, a difference of 10.5%), and single mother households (5.5% compared to 5.2%, a difference of 7.1%). Conversely, both communities are more comparable in terms of married-couple households (51.1% compared to 50.4%, a difference of 1.4%), currently married (50.5% compared to 49.5%, a difference of 1.9%), and family households (66.0% compared to 68.1%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Danish and Chinese communities in the United States are seen in no vehicles in household (6.6% compared to 8.2%, a difference of 24.8%), 2 or more vehicles in household (63.3% compared to 60.1%, a difference of 5.3%), and 3 or more vehicles in household (24.7% compared to 23.9%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 91.9%, a difference of 1.8%), 4 or more vehicles in household (8.6% compared to 8.8%, a difference of 3.2%), and 3 or more vehicles in household (24.7% compared to 23.9%, a difference of 3.6%).

When considering education level, the most significant differences between Danish and Chinese communities in the United States are seen in doctorate degree (1.9% compared to 1.8%, a difference of 7.8%), associate's degree (47.4% compared to 48.5%, a difference of 2.4%), and professional degree (4.4% compared to 4.5%, a difference of 2.2%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.060%), kindergarten (98.6% compared to 98.5%, a difference of 0.060%), and 2nd grade (98.5% compared to 98.5%, a difference of 0.060%).

When considering disability, the most significant differences between Danish and Chinese communities in the United States are seen in disability age under 5 (1.5% compared to 1.1%, a difference of 29.4%), disability age 5 to 17 (5.7% compared to 4.7%, a difference of 20.8%), and disability age 18 to 34 (7.5% compared to 6.3%, a difference of 18.6%). Conversely, both communities are more comparable in terms of male disability (11.9% compared to 12.1%, a difference of 1.1%), vision disability (2.1% compared to 2.0%, a difference of 1.3%), and disability (12.0% compared to 12.2%, a difference of 1.7%).