Crow vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 56,314,501 people shows a very strong negative correlation between the proportion of Immigrants from South Central Asia within Crow communities in the United States with a correlation coefficient (R) of -0.832. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.700% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 700.3 Immigrants from South Central Asia.

When considering income, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in householder income ages 45 - 64 years ($74,257 compared to $124,188, a difference of 67.2%), median household income ($63,681 compared to $106,057, a difference of 66.5%), and per capita income ($31,729 compared to $52,660, a difference of 66.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $57,818, a difference of 23.0%), median female earnings ($35,266 compared to $46,324, a difference of 31.4%), and householder income over 65 years ($49,234 compared to $70,103, a difference of 42.4%).

When considering poverty, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in child poverty under the age of 5 (31.0% compared to 13.3%, a difference of 133.9%), family poverty (16.1% compared to 7.2%, a difference of 123.6%), and married-couple family poverty (9.6% compared to 4.3%, a difference of 121.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (15.9% compared to 11.4%, a difference of 40.2%), receiving food stamps (13.4% compared to 8.8%, a difference of 52.0%), and single mother poverty (38.6% compared to 25.3%, a difference of 53.0%).

When considering unemployment, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.1%, a difference of 282.8%), unemployment among seniors over 65 years (16.9% compared to 5.0%, a difference of 237.6%), and unemployment among ages 65 to 74 years (17.4% compared to 5.3%, a difference of 231.2%). 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 4.3%), unemployment among women with children ages 6 to 17 years (9.2% compared to 7.9%, a difference of 16.3%), and unemployment among ages 55 to 59 years (5.9% compared to 4.6%, a difference of 28.3%).

When considering labor participation, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.1%, a difference of 12.1%), 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 85.0%, a difference of 11.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 74.0%, a difference of 4.0%), in labor force | age 45-54 (78.3% compared to 84.0%, a difference of 7.3%), and in labor force | age 25-29 (78.6% compared to 85.2%, a difference of 8.4%).

When considering family structure, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in single father households (3.5% compared to 2.0%, a difference of 78.9%), births to unmarried women (40.4% compared to 24.7%, a difference of 63.5%), and single mother households (7.4% compared to 5.4%, a difference of 38.0%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 66.4%, a difference of 1.7%), family households with children (27.4% compared to 30.0%, a difference of 9.8%), and average family size (3.82 compared to 3.23, a difference of 18.5%).

When considering vehicle availability, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in no vehicles in household (11.0% compared to 8.6%, a difference of 28.9%), 4 or more vehicles in household (7.8% compared to 6.1%, a difference of 27.2%), and 3 or more vehicles in household (22.5% compared to 19.3%, a difference of 16.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.7% compared to 56.6%, a difference of 1.5%), 1 or more vehicles in household (89.3% compared to 91.5%, a difference of 2.4%), and 3 or more vehicles in household (22.5% compared to 19.3%, a difference of 16.2%).

When considering education level, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in master's degree (10.6% compared to 20.7%, a difference of 94.8%), professional degree (3.2% compared to 5.9%, a difference of 86.8%), and doctorate degree (1.5% compared to 2.6%, a difference of 77.9%). Conversely, both communities are more comparable in terms of 10th grade (94.7% compared to 94.5%, a difference of 0.19%), 9th grade (96.1% compared to 95.4%, a difference of 0.71%), and 11th grade (92.9% compared to 93.6%, a difference of 0.78%).

When considering disability, the most significant differences between Crow and Immigrants from South Central Asia communities in the United States are seen in disability age 35 to 64 (14.6% compared to 8.9%, a difference of 65.0%), hearing disability (4.2% compared to 2.6%, a difference of 61.4%), and disability age 18 to 34 (8.3% compared to 5.7%, a difference of 45.9%). Conversely, both communities are more comparable in terms of cognitive disability (17.3% compared to 16.4%, a difference of 5.9%), disability age over 75 (49.6% compared to 46.0%, a difference of 7.9%), and disability age 5 to 17 (5.4% compared to 4.7%, a difference of 13.9%).