Indian (Asian) vs Danish Community Comparison

The statistical analysis conducted on geographies consisting of 434,391,603 people shows no correlation between the proportion of Danes within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.008. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.000% in Danes. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 0.4 Danes.

When considering income, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in median female earnings ($46,481 compared to $37,730, a difference of 23.2%), householder income ages 25 - 44 years ($119,496 compared to $97,221, a difference of 22.9%), and per capita income ($53,874 compared to $44,095, a difference of 22.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $53,041, a difference of 9.8%), householder income over 65 years ($70,238 compared to $63,117, a difference of 11.3%), and householder income ages 45 - 64 years ($122,343 compared to $105,619, a difference of 15.8%).

When considering poverty, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in seniors poverty over the age of 65 (11.1% compared to 8.8%, a difference of 26.0%), seniors poverty over the age of 75 (12.7% compared to 10.2%, a difference of 24.6%), and married-couple family poverty (4.8% compared to 4.1%, a difference of 16.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.8%, a difference of 1.1%), child poverty under the age of 16 (13.1% compared to 13.4%, a difference of 1.9%), and child poverty among boys under 16 (13.3% compared to 13.6%, a difference of 2.6%).

When considering unemployment, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 9.7%, a difference of 21.5%), unemployment (5.1% compared to 4.3%, a difference of 18.1%), and female unemployment (5.1% compared to 4.4%, a difference of 16.8%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.2%, a difference of 3.0%), unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 3.3%), and unemployment among ages 25 to 29 years (6.3% compared to 6.0%, a difference of 3.6%).

When considering labor participation, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 44.7%, a difference of 40.3%), in labor force | age 20-24 (71.9% compared to 79.0%, a difference of 9.9%), and in labor force | age 30-34 (85.4% compared to 84.3%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.3%, a difference of 0.010%), in labor force | age 20-64 (79.9% compared to 79.9%, a difference of 0.080%), and in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.090%).

When considering family structure, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in single father households (1.9% compared to 2.3%, a difference of 22.8%), divorced or separated (10.2% compared to 11.9%, a difference of 16.5%), and births to unmarried women (25.3% compared to 28.7%, a difference of 13.6%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 66.0%, a difference of 1.4%), average family size (3.24 compared to 3.17, a difference of 2.2%), and family households with children (27.6% compared to 28.7%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in no vehicles in household (14.1% compared to 6.6%, a difference of 113.5%), 4 or more vehicles in household (6.4% compared to 8.6%, a difference of 33.2%), and 3 or more vehicles in household (19.1% compared to 24.7%, a difference of 29.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 93.5%, a difference of 8.7%), 2 or more vehicles in household (53.1% compared to 63.3%, a difference of 19.2%), and 3 or more vehicles in household (19.1% compared to 24.7%, a difference of 29.3%).

When considering education level, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 69.0%), doctorate degree (2.9% compared to 1.9%, a difference of 53.0%), and professional degree (6.5% compared to 4.4%, a difference of 49.4%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 1.0%), kindergarten (97.6% compared to 98.6%, a difference of 1.0%), and 1st grade (97.5% compared to 98.6%, a difference of 1.1%).

When considering disability, the most significant differences between Indian (Asian) and Danish communities in the United States are seen in disability age under 5 (1.0% compared to 1.5%, a difference of 47.3%), disability age 18 to 34 (5.5% compared to 7.5%, a difference of 35.2%), and hearing disability (2.7% compared to 3.6%, a difference of 31.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.7%, a difference of 0.63%), disability age over 75 (46.5% compared to 46.2%, a difference of 0.67%), and self-care disability (2.3% compared to 2.3%, a difference of 3.6%).