Crow vs Immigrants from South Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 58,287,948 people shows a mild negative correlation between the proportion of Immigrants from South Eastern Asia within Crow communities in the United States with a correlation coefficient (R) of -0.394. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.210% in Immigrants from South Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 210.3 Immigrants from South Eastern Asia.

When considering income, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in median household income ($63,681 compared to $91,541, a difference of 43.8%), householder income ages 45 - 64 years ($74,257 compared to $106,109, a difference of 42.9%), and householder income ages 25 - 44 years ($71,337 compared to $100,283, a difference of 40.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $40,558, a difference of 15.0%), householder income under 25 years ($47,012 compared to $55,714, a difference of 18.5%), and median earnings ($38,707 compared to $47,671, a difference of 23.2%).

When considering poverty, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in single father poverty (30.3% compared to 14.4%, a difference of 111.0%), single male poverty (23.3% compared to 11.4%, a difference of 103.3%), and child poverty under the age of 5 (31.0% compared to 15.7%, a difference of 97.8%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 11.1%, a difference of 21.2%), seniors poverty over the age of 75 (15.9% compared to 12.2%, a difference of 30.2%), and seniors poverty over the age of 65 (15.2% compared to 10.8%, a difference of 40.7%).

When considering unemployment, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.7%, a difference of 232.6%), unemployment among ages 65 to 74 years (17.4% compared to 5.3%, a difference of 229.6%), and unemployment among seniors over 65 years (16.9% compared to 5.1%, a difference of 229.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 0.30%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.2%, a difference of 12.2%), and unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 23.5%).

When considering labor participation, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 84.7%, a difference of 11.6%), in labor force | age 35-44 (76.5% compared to 84.2%, a difference of 10.1%), and in labor force | age 20-64 (73.3% compared to 79.8%, a difference of 8.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 75.1%, a difference of 2.3%), in labor force | age 45-54 (78.3% compared to 82.8%, a difference of 5.7%), and in labor force | age 25-29 (78.6% compared to 84.4%, a difference of 7.4%).

When considering family structure, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in single father households (3.5% compared to 2.4%, a difference of 45.9%), births to unmarried women (40.4% compared to 30.4%, a difference of 32.9%), and divorced or separated (14.1% compared to 11.4%, a difference of 23.4%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 67.5%, a difference of 3.4%), family households with children (27.4% compared to 29.1%, a difference of 6.4%), and average family size (3.82 compared to 3.36, a difference of 13.9%).

When considering vehicle availability, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in no vehicles in household (11.0% compared to 8.6%, a difference of 28.4%), 2 or more vehicles in household (55.7% compared to 59.6%, a difference of 6.9%), and 4 or more vehicles in household (7.8% compared to 8.2%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 91.4%, a difference of 2.4%), 3 or more vehicles in household (22.5% compared to 23.1%, a difference of 2.8%), and 4 or more vehicles in household (7.8% compared to 8.2%, a difference of 5.7%).

When considering education level, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in no schooling completed (1.6% compared to 2.9%, a difference of 76.6%), bachelor's degree (27.7% compared to 36.8%, a difference of 32.8%), and master's degree (10.6% compared to 14.0%, a difference of 31.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.0% compared to 89.6%, a difference of 0.44%), ged/equivalency (83.8% compared to 84.1%, a difference of 0.45%), and high school diploma (88.4% compared to 87.2%, a difference of 1.4%).

When considering disability, the most significant differences between Crow and Immigrants from South Eastern Asia communities in the United States are seen in hearing disability (4.2% compared to 3.0%, a difference of 40.8%), disability age 35 to 64 (14.6% compared to 10.6%, a difference of 38.3%), and disability age 18 to 34 (8.3% compared to 6.3%, a difference of 31.8%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.22%), cognitive disability (17.3% compared to 17.0%, a difference of 1.8%), and disability age over 75 (49.6% compared to 48.7%, a difference of 1.9%).