White/Caucasian vs Dutch Community Comparison

The statistical analysis conducted on geographies consisting of 553,696,978 people shows a near-perfect positive correlation between the proportion of Dutch within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.943. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.019% in Dutch. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 19.3 Dutch.

When considering income, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in wage/income gap (28.5% compared to 29.6%, a difference of 3.9%), householder income under 25 years ($50,336 compared to $51,265, a difference of 1.8%), and householder income ages 45 - 64 years ($98,091 compared to $99,650, a difference of 1.6%). Conversely, both communities are more comparable in terms of median earnings ($45,197 compared to $45,370, a difference of 0.38%), median female earnings ($37,531 compared to $37,339, a difference of 0.51%), and median male earnings ($53,925 compared to $54,410, a difference of 0.90%).

When considering poverty, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in married-couple family poverty (4.8% compared to 4.2%, a difference of 14.9%), family poverty (8.8% compared to 7.8%, a difference of 12.2%), and receiving food stamps (11.1% compared to 10.0%, a difference of 10.6%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 20.5%, a difference of 1.3%), single male poverty (14.5% compared to 14.1%, a difference of 2.9%), and single mother poverty (31.2% compared to 30.2%, a difference of 3.1%).

When considering unemployment, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in unemployment among women with children under 18 years (5.3% compared to 5.0%, a difference of 6.6%), female unemployment (4.9% compared to 4.6%, a difference of 6.5%), and unemployment (4.9% compared to 4.6%, a difference of 6.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.22%), unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.55%), and unemployment among ages 60 to 64 years (4.7% compared to 4.6%, a difference of 2.7%).

When considering labor participation, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 43.8%, a difference of 6.1%), in labor force | age 20-24 (76.9% compared to 78.4%, a difference of 1.9%), and in labor force | age 45-54 (81.9% compared to 82.8%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.9% compared to 84.5%, a difference of 0.70%), in labor force | age 35-44 (83.6% compared to 84.3%, a difference of 0.76%), and in labor force | age 25-29 (84.2% compared to 84.9%, a difference of 0.87%).

When considering family structure, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in births to unmarried women (33.3% compared to 31.5%, a difference of 5.5%), single mother households (6.1% compared to 5.8%, a difference of 5.3%), and currently married (48.6% compared to 49.6%, a difference of 2.0%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 64.9%, a difference of 0.21%), family households with children (27.4% compared to 27.4%, a difference of 0.25%), and single father households (2.4% compared to 2.4%, a difference of 1.0%).

When considering vehicle availability, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in 4 or more vehicles in household (7.4% compared to 7.7%, a difference of 4.0%), no vehicles in household (7.0% compared to 6.8%, a difference of 2.8%), and 3 or more vehicles in household (22.6% compared to 22.9%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 93.3%, a difference of 0.21%), 2 or more vehicles in household (60.8% compared to 61.6%, a difference of 1.3%), and 3 or more vehicles in household (22.6% compared to 22.9%, a difference of 1.6%).

When considering education level, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in no schooling completed (1.6% compared to 1.4%, a difference of 14.4%), college, under 1 year (64.0% compared to 65.3%, a difference of 2.0%), and associate's degree (44.2% compared to 45.0%, a difference of 1.9%). Conversely, both communities are more comparable in terms of master's degree (13.8% compared to 13.8%, a difference of 0.14%), nursery school (98.5% compared to 98.7%, a difference of 0.21%), and kindergarten (98.4% compared to 98.6%, a difference of 0.21%).

When considering disability, the most significant differences between White/Caucasian and Dutch communities in the United States are seen in vision disability (2.4% compared to 2.2%, a difference of 7.2%), self-care disability (2.6% compared to 2.4%, a difference of 5.2%), and ambulatory disability (6.7% compared to 6.4%, a difference of 4.0%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (7.6% compared to 7.7%, a difference of 0.97%), male disability (12.8% compared to 12.7%, a difference of 1.1%), and disability age under 5 (1.7% compared to 1.7%, a difference of 1.2%).