Asian vs Dutch Community Comparison

The statistical analysis conducted on geographies consisting of 531,148,907 people shows a strong negative correlation between the proportion of Dutch within Asian communities in the United States with a correlation coefficient (R) of -0.794. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.011% in Dutch. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 11.2 Dutch.

When considering income, the most significant differences between Asian and Dutch communities in the United States are seen in median household income ($101,681 compared to $82,971, a difference of 22.6%), householder income ages 25 - 44 years ($112,666 compared to $93,081, a difference of 21.0%), and median female earnings ($44,586 compared to $37,339, a difference of 19.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 29.6%, a difference of 10.0%), householder income under 25 years ($57,003 compared to $51,265, a difference of 11.2%), and householder income over 65 years ($68,822 compared to $59,539, a difference of 15.6%).

When considering poverty, the most significant differences between Asian and Dutch communities in the United States are seen in single male poverty (11.2% compared to 14.1%, a difference of 25.7%), single father poverty (14.6% compared to 17.8%, a difference of 22.3%), and female poverty among 25-34 year olds (11.4% compared to 13.8%, a difference of 20.7%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 7.8%, a difference of 1.1%), male poverty (10.0% compared to 10.2%, a difference of 2.4%), and poverty (11.0% compared to 11.3%, a difference of 3.0%).

When considering unemployment, the most significant differences between Asian and Dutch communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 10.4%, a difference of 26.4%), unemployment among women with children under 6 years (6.7% compared to 8.1%, a difference of 21.5%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.4%, a difference of 17.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.070%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.75%), and unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 1.2%).

When considering labor participation, the most significant differences between Asian and Dutch communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 43.8%, a difference of 28.7%), in labor force | age 20-24 (73.7% compared to 78.4%, a difference of 6.4%), and in labor force | age > 16 (66.2% compared to 64.2%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.9%, a difference of 0.090%), in labor force | age 35-44 (84.7% compared to 84.3%, a difference of 0.47%), and in labor force | age 30-34 (85.1% compared to 84.5%, a difference of 0.71%).

When considering family structure, the most significant differences between Asian and Dutch communities in the United States are seen in births to unmarried women (26.8% compared to 31.5%, a difference of 17.7%), divorced or separated (10.6% compared to 12.4%, a difference of 16.8%), and single father households (2.1% compared to 2.4%, a difference of 15.0%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.5%, a difference of 0.010%), family households (66.5% compared to 64.9%, a difference of 2.4%), and currently married (48.4% compared to 49.6%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Asian and Dutch communities in the United States are seen in no vehicles in household (9.0% compared to 6.8%, a difference of 31.1%), 3 or more vehicles in household (20.8% compared to 22.9%, a difference of 10.5%), and 4 or more vehicles in household (7.0% compared to 7.7%, a difference of 9.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 93.3%, a difference of 2.4%), 2 or more vehicles in household (57.0% compared to 61.6%, a difference of 8.2%), and 4 or more vehicles in household (7.0% compared to 7.7%, a difference of 9.2%).

When considering education level, the most significant differences between Asian and Dutch communities in the United States are seen in no schooling completed (2.4% compared to 1.4%, a difference of 68.3%), doctorate degree (2.4% compared to 1.8%, a difference of 37.0%), and professional degree (5.5% compared to 4.0%, a difference of 36.5%). Conversely, both communities are more comparable in terms of ged/equivalency (86.7% compared to 87.5%, a difference of 0.88%), nursery school (97.6% compared to 98.7%, a difference of 1.0%), and kindergarten (97.6% compared to 98.6%, a difference of 1.0%).

When considering disability, the most significant differences between Asian and Dutch communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 54.9%), hearing disability (2.7% compared to 3.7%, a difference of 36.6%), and disability age 18 to 34 (5.8% compared to 7.7%, a difference of 32.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.8%, a difference of 0.10%), disability age over 75 (46.9% compared to 46.5%, a difference of 0.95%), and self-care disability (2.3% compared to 2.4%, a difference of 4.5%).