Dutch vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 456,753,806 people shows a weak negative correlation between the proportion of Burmese within Dutch communities in the United States with a correlation coefficient (R) of -0.214. On average, for every 1% (one percent) increase in Dutch within a typical geography, there is a decrease of 0.005% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Dutch corresponds to a decrease of 5.0 Burmese.

When considering income, the most significant differences between Dutch and Burmese communities in the United States are seen in median household income ($82,971 compared to $103,145, a difference of 24.3%), householder income ages 25 - 44 years ($93,081 compared to $113,701, a difference of 22.2%), and per capita income ($42,605 compared to $52,005, a difference of 22.1%). Conversely, both communities are more comparable in terms of wage/income gap (29.6% compared to 28.0%, a difference of 5.8%), householder income under 25 years ($51,265 compared to $54,800, a difference of 6.9%), and householder income over 65 years ($59,539 compared to $71,139, a difference of 19.5%).

When considering poverty, the most significant differences between Dutch and Burmese communities in the United States are seen in child poverty under the age of 5 (16.7% compared to 13.2%, a difference of 26.2%), female poverty among 25-34 year olds (13.8% compared to 11.2%, a difference of 23.3%), and single female poverty (22.0% compared to 18.3%, a difference of 20.3%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.2% compared to 4.3%, a difference of 2.9%), male poverty (10.2% compared to 9.7%, a difference of 5.8%), and poverty (11.3% compared to 10.7%, a difference of 6.0%).

When considering unemployment, the most significant differences between Dutch and Burmese communities in the United States are seen in unemployment among seniors over 75 years (10.4% compared to 8.2%, a difference of 27.6%), unemployment among women with children under 6 years (8.1% compared to 6.5%, a difference of 25.2%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.0%, a difference of 17.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 0.32%), unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 0.45%), and unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 1.2%).

When considering labor participation, the most significant differences between Dutch and Burmese communities in the United States are seen in in labor force | age 16-19 (43.8% compared to 34.5%, a difference of 27.1%), in labor force | age 20-24 (78.4% compared to 73.6%, a difference of 6.5%), and in labor force | age > 16 (64.2% compared to 66.2%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.9% compared to 85.1%, a difference of 0.26%), in labor force | age 35-44 (84.3% compared to 84.7%, a difference of 0.49%), and in labor force | age 30-34 (84.5% compared to 85.3%, a difference of 0.92%).

When considering family structure, the most significant differences between Dutch and Burmese communities in the United States are seen in births to unmarried women (31.5% compared to 26.4%, a difference of 19.5%), single father households (2.4% compared to 2.0%, a difference of 18.8%), and divorced or separated (12.4% compared to 10.7%, a difference of 15.9%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.8%, a difference of 0.68%), family households (64.9% compared to 65.7%, a difference of 1.2%), and currently married (49.6% compared to 48.9%, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Dutch and Burmese communities in the United States are seen in no vehicles in household (6.8% compared to 9.7%, a difference of 41.4%), 4 or more vehicles in household (7.7% compared to 6.8%, a difference of 12.2%), and 3 or more vehicles in household (22.9% compared to 20.6%, a difference of 11.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.3% compared to 90.4%, a difference of 3.2%), 2 or more vehicles in household (61.6% compared to 57.8%, a difference of 6.7%), and 3 or more vehicles in household (22.9% compared to 20.6%, a difference of 11.1%).

When considering education level, the most significant differences between Dutch and Burmese communities in the United States are seen in professional degree (4.0% compared to 6.1%, a difference of 52.2%), doctorate degree (1.8% compared to 2.6%, a difference of 48.6%), and master's degree (13.8% compared to 19.7%, a difference of 42.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.9% compared to 92.6%, a difference of 0.33%), high school diploma (91.3% compared to 90.8%, a difference of 0.53%), and nursery school (98.7% compared to 98.1%, a difference of 0.58%).

When considering disability, the most significant differences between Dutch and Burmese communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 49.7%), disability age 35 to 64 (12.3% compared to 9.2%, a difference of 33.7%), and hearing disability (3.7% compared to 2.8%, a difference of 33.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.7%, a difference of 0.60%), disability age over 75 (46.5% compared to 45.9%, a difference of 1.3%), and self-care disability (2.4% compared to 2.3%, a difference of 7.6%).