Crow vs Thai Community Comparison

The statistical analysis conducted on geographies consisting of 56,382,075 people shows a substantial negative correlation between the proportion of Thais within Crow communities in the United States with a correlation coefficient (R) of -0.592. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.259% in Thais. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 259.1 Thais.

When considering income, the most significant differences between Crow and Thai communities in the United States are seen in householder income ages 45 - 64 years ($74,257 compared to $129,560, a difference of 74.5%), median household income ($63,681 compared to $110,648, a difference of 73.8%), and median family income ($76,605 compared to $131,281, a difference of 71.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $59,187, a difference of 25.9%), median female earnings ($35,266 compared to $47,577, a difference of 34.9%), and householder income over 65 years ($49,234 compared to $72,099, a difference of 46.4%).

When considering poverty, the most significant differences between Crow and Thai communities in the United States are seen in child poverty under the age of 5 (31.0% compared to 12.3%, a difference of 151.9%), married-couple family poverty (9.6% compared to 3.9%, a difference of 143.9%), and family poverty (16.1% compared to 6.7%, a difference of 140.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (15.9% compared to 10.9%, a difference of 45.9%), single mother poverty (38.6% compared to 24.5%, a difference of 57.7%), and seniors poverty over the age of 65 (15.2% compared to 9.2%, a difference of 65.1%).

When considering unemployment, the most significant differences between Crow and Thai communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 3.9%, a difference of 298.6%), unemployment among ages 45 to 54 years (13.7% compared to 4.0%, a difference of 240.9%), and unemployment among seniors over 65 years (16.9% compared to 5.0%, a difference of 240.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.7%, a difference of 6.2%), unemployment among women with children ages 6 to 17 years (9.2% compared to 7.8%, a difference of 18.1%), and unemployment among ages 55 to 59 years (5.9% compared to 4.5%, a difference of 31.3%).

When considering labor participation, the most significant differences between Crow and Thai communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.2%, a difference of 12.2%), in labor force | age 16-19 (38.5% compared to 34.6%, a difference of 11.4%), and in labor force | age 35-44 (76.5% compared to 85.2%, a difference of 11.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 74.0%, a difference of 3.9%), in labor force | age 45-54 (78.3% compared to 84.3%, a difference of 7.7%), and in labor force | age 25-29 (78.6% compared to 85.5%, a difference of 8.7%).

When considering family structure, the most significant differences between Crow and Thai communities in the United States are seen in single father households (3.5% compared to 1.9%, a difference of 82.7%), births to unmarried women (40.4% compared to 24.0%, a difference of 68.0%), and single mother households (7.4% compared to 5.2%, a difference of 42.5%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 67.2%, a difference of 2.9%), family households with children (27.4% compared to 30.6%, a difference of 12.0%), and average family size (3.82 compared to 3.22, a difference of 18.7%).

When considering vehicle availability, the most significant differences between Crow and Thai communities in the United States are seen in no vehicles in household (11.0% compared to 8.2%, a difference of 34.9%), 4 or more vehicles in household (7.8% compared to 6.2%, a difference of 24.7%), and 3 or more vehicles in household (22.5% compared to 19.8%, a difference of 13.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 91.9%, a difference of 2.9%), 2 or more vehicles in household (55.7% compared to 57.9%, a difference of 4.0%), and 3 or more vehicles in household (22.5% compared to 19.8%, a difference of 13.3%).

When considering education level, the most significant differences between Crow and Thai communities in the United States are seen in master's degree (10.6% compared to 21.7%, a difference of 104.2%), professional degree (3.2% compared to 6.1%, a difference of 94.6%), and doctorate degree (1.5% compared to 2.8%, a difference of 87.1%). Conversely, both communities are more comparable in terms of 9th grade (96.1% compared to 95.8%, a difference of 0.28%), 10th grade (94.7% compared to 95.0%, a difference of 0.31%), and 11th grade (92.9% compared to 94.1%, a difference of 1.3%).

When considering disability, the most significant differences between Crow and Thai communities in the United States are seen in disability age 35 to 64 (14.6% compared to 8.6%, a difference of 70.4%), hearing disability (4.2% compared to 2.5%, a difference of 63.6%), and disability age 18 to 34 (8.3% compared to 5.6%, a difference of 47.0%). Conversely, both communities are more comparable in terms of cognitive disability (17.3% compared to 16.1%, a difference of 7.5%), disability age over 75 (49.6% compared to 45.4%, a difference of 9.3%), and disability age 5 to 17 (5.4% compared to 4.7%, a difference of 16.0%).