Immigrants from Denmark vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 132,727,952 people shows a moderate negative correlation between the proportion of Immigrants from China within Immigrant from Denmark communities in the United States with a correlation coefficient (R) of -0.440. On average, for every 1% (one percent) increase in Immigrants from Denmark within a typical geography, there is a decrease of 0.545% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Denmark corresponds to a decrease of 545.2 Immigrants from China.

When considering income, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in householder income under 25 years ($52,612 compared to $57,931, a difference of 10.1%), householder income ages 25 - 44 years ($110,363 compared to $119,756, a difference of 8.5%), and median female earnings ($43,646 compared to $46,972, a difference of 7.6%). Conversely, both communities are more comparable in terms of householder income over 65 years ($68,801 compared to $69,174, a difference of 0.54%), per capita income ($53,799 compared to $54,264, a difference of 0.86%), and median male earnings ($64,625 compared to $67,353, a difference of 4.2%).

When considering poverty, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (16.0% compared to 13.6%, a difference of 17.9%), single male poverty (13.2% compared to 11.4%, a difference of 16.0%), and child poverty among girls under 16 (15.2% compared to 13.4%, a difference of 13.4%). Conversely, both communities are more comparable in terms of receiving food stamps (9.6% compared to 9.6%, a difference of 0.53%), female poverty (12.4% compared to 12.5%, a difference of 0.71%), and family poverty (8.0% compared to 7.8%, a difference of 1.7%).

When considering unemployment, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 6.2%, a difference of 14.6%), unemployment among women with children ages 6 to 17 years (8.7% compared to 7.7%, a difference of 12.7%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 10.0%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 0.020%), unemployment among seniors over 75 years (7.8% compared to 7.8%, a difference of 0.11%), and unemployment among ages 16 to 19 years (17.5% compared to 17.5%, a difference of 0.19%).

When considering labor participation, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (36.1% compared to 31.1%, a difference of 15.8%), in labor force | age 20-24 (74.8% compared to 71.1%, a difference of 5.2%), and in labor force | age > 16 (64.8% compared to 65.4%, a difference of 0.89%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.6%, a difference of 0.070%), in labor force | age 30-34 (85.1% compared to 85.4%, a difference of 0.32%), and in labor force | age 20-64 (79.4% compared to 79.7%, a difference of 0.36%).

When considering family structure, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in births to unmarried women (29.4% compared to 24.7%, a difference of 19.2%), divorced or separated (11.6% compared to 10.0%, a difference of 15.4%), and single father households (2.1% compared to 1.8%, a difference of 11.7%). Conversely, both communities are more comparable in terms of currently married (47.6% compared to 47.9%, a difference of 0.53%), married-couple households (47.3% compared to 48.4%, a difference of 2.4%), and average family size (3.15 compared to 3.23, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in no vehicles in household (11.1% compared to 15.2%, a difference of 36.5%), 3 or more vehicles in household (19.6% compared to 18.2%, a difference of 7.7%), and 2 or more vehicles in household (55.3% compared to 51.5%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.1% compared to 84.9%, a difference of 4.9%), 4 or more vehicles in household (6.4% compared to 6.0%, a difference of 5.7%), and 2 or more vehicles in household (55.3% compared to 51.5%, a difference of 7.5%).

When considering education level, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in no schooling completed (1.7% compared to 2.6%, a difference of 46.5%), doctorate degree (2.8% compared to 3.1%, a difference of 12.0%), and master's degree (19.5% compared to 21.2%, a difference of 8.4%). Conversely, both communities are more comparable in terms of college, under 1 year (71.0% compared to 70.9%, a difference of 0.22%), nursery school (98.3% compared to 97.5%, a difference of 0.87%), and kindergarten (98.3% compared to 97.4%, a difference of 0.88%).

When considering disability, the most significant differences between Immigrants from Denmark and Immigrants from China communities in the United States are seen in disability age 5 to 17 (5.4% compared to 4.5%, a difference of 20.2%), disability age 18 to 34 (6.5% compared to 5.4%, a difference of 19.1%), and disability age 35 to 64 (10.3% compared to 8.7%, a difference of 18.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.9% compared to 16.9%, a difference of 0.23%), self-care disability (2.3% compared to 2.3%, a difference of 0.34%), and disability age over 75 (45.4% compared to 46.3%, a difference of 1.9%).