Burmese vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 56,880,567 people shows a poor positive correlation between the proportion of Crow within Burmese communities in the United States with a correlation coefficient (R) of 0.196. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.003% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 2.8 Crow.

When considering income, the most significant differences between Burmese and Crow communities in the United States are seen in per capita income ($52,005 compared to $31,729, a difference of 63.9%), householder income ages 45 - 64 years ($121,444 compared to $74,257, a difference of 63.5%), and median household income ($103,145 compared to $63,681, a difference of 62.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $47,012, a difference of 16.6%), median female earnings ($44,911 compared to $35,266, a difference of 27.4%), and median earnings ($54,559 compared to $38,707, a difference of 40.9%).

When considering poverty, the most significant differences between Burmese and Crow communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 31.0%, a difference of 134.4%), married-couple family poverty (4.3% compared to 9.6%, a difference of 121.3%), and family poverty (7.3% compared to 16.1%, a difference of 120.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 15.9%, a difference of 36.5%), single mother poverty (26.2% compared to 38.6%, a difference of 47.2%), and seniors poverty over the age of 65 (10.1% compared to 15.2%, a difference of 51.0%).

When considering unemployment, the most significant differences between Burmese and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 15.7%, a difference of 263.7%), unemployment among seniors over 65 years (5.0% compared to 16.9%, a difference of 236.8%), and unemployment among ages 65 to 74 years (5.2% compared to 17.4%, a difference of 233.5%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 3.4%), unemployment among women with children ages 6 to 17 years (8.0% compared to 9.2%, a difference of 16.2%), and unemployment among ages 55 to 59 years (4.5% compared to 5.9%, a difference of 29.4%).

When considering labor participation, the most significant differences between Burmese and Crow communities in the United States are seen in in labor force | age 30-34 (85.3% compared to 75.9%, a difference of 12.3%), in labor force | age 16-19 (34.5% compared to 38.5%, a difference of 11.6%), and in labor force | age 35-44 (84.7% compared to 76.5%, a difference of 10.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.6% compared to 76.9%, a difference of 4.5%), in labor force | age 45-54 (83.6% compared to 78.3%, a difference of 6.8%), and in labor force | age 25-29 (85.1% compared to 78.6%, a difference of 8.3%).

When considering family structure, the most significant differences between Burmese and Crow communities in the United States are seen in single father households (2.0% compared to 3.5%, a difference of 72.9%), births to unmarried women (26.4% compared to 40.4%, a difference of 53.1%), and single mother households (5.3% compared to 7.4%, a difference of 40.9%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 65.3%, a difference of 0.72%), family households with children (28.5% compared to 27.4%, a difference of 4.2%), and average family size (3.22 compared to 3.82, a difference of 18.9%).

When considering vehicle availability, the most significant differences between Burmese and Crow communities in the United States are seen in no vehicles in household (9.7% compared to 11.0%, a difference of 14.1%), 4 or more vehicles in household (6.8% compared to 7.8%, a difference of 14.1%), and 3 or more vehicles in household (20.6% compared to 22.5%, a difference of 8.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.3%, a difference of 1.3%), 2 or more vehicles in household (57.8% compared to 55.7%, a difference of 3.7%), and 3 or more vehicles in household (20.6% compared to 22.5%, a difference of 8.8%).

When considering education level, the most significant differences between Burmese and Crow communities in the United States are seen in professional degree (6.1% compared to 3.2%, a difference of 94.5%), master's degree (19.7% compared to 10.6%, a difference of 85.3%), and doctorate degree (2.6% compared to 1.5%, a difference of 78.4%). Conversely, both communities are more comparable in terms of 10th grade (94.5% compared to 94.7%, a difference of 0.25%), 9th grade (95.4% compared to 96.1%, a difference of 0.67%), and 11th grade (93.6% compared to 92.9%, a difference of 0.78%).

When considering disability, the most significant differences between Burmese and Crow communities in the United States are seen in disability age 35 to 64 (9.2% compared to 14.6%, a difference of 58.7%), hearing disability (2.8% compared to 4.2%, a difference of 48.8%), and disability age 18 to 34 (6.0% compared to 8.3%, a difference of 38.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.3%, a difference of 4.0%), disability age over 75 (45.9% compared to 49.6%, a difference of 8.0%), and disability age under 5 (1.1% compared to 1.2%, a difference of 10.3%).