Cajun vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 140,700,269 people shows a moderate negative correlation between the proportion of Immigrants from South Central Asia within Cajun communities in the United States with a correlation coefficient (R) of -0.452. On average, for every 1% (one percent) increase in Cajuns within a typical geography, there is a decrease of 0.091% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Cajuns corresponds to a decrease of 91.4 Immigrants from South Central Asia.

When considering income, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in median household income ($70,605 compared to $106,057, a difference of 50.2%), householder income ages 45 - 64 years ($83,015 compared to $124,188, a difference of 49.6%), and median family income ($87,157 compared to $125,956, a difference of 44.5%). Conversely, both communities are more comparable in terms of wage/income gap (33.9% compared to 29.3%, a difference of 15.5%), householder income under 25 years ($45,338 compared to $57,818, a difference of 27.5%), and median male earnings ($52,325 compared to $68,960, a difference of 31.8%).

When considering poverty, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in female poverty among 25-34 year olds (19.9% compared to 10.8%, a difference of 85.4%), child poverty under the age of 5 (24.1% compared to 13.3%, a difference of 81.9%), and child poverty among girls under 16 (22.6% compared to 12.7%, a difference of 77.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.9% compared to 9.7%, a difference of 23.0%), seniors poverty over the age of 75 (14.0% compared to 11.4%, a difference of 23.0%), and married-couple family poverty (5.6% compared to 4.3%, a difference of 30.3%).

When considering unemployment, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in unemployment among seniors over 75 years (12.5% compared to 8.2%, a difference of 52.2%), unemployment among women with children under 6 years (9.2% compared to 6.6%, a difference of 38.9%), and unemployment among ages 30 to 34 years (6.7% compared to 4.9%, a difference of 36.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.7%, a difference of 4.1%), unemployment among seniors over 65 years (5.2% compared to 5.0%, a difference of 5.0%), and unemployment among ages 65 to 74 years (5.5% compared to 5.3%, a difference of 5.5%).

When considering labor participation, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 16-19 (37.8% compared to 34.6%, a difference of 9.3%), in labor force | age > 16 (61.8% compared to 67.1%, a difference of 8.6%), and in labor force | age 45-54 (78.1% compared to 84.0%, a difference of 7.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.1% compared to 74.0%, a difference of 1.5%), in labor force | age 25-29 (82.5% compared to 85.2%, a difference of 3.3%), and in labor force | age 30-34 (82.0% compared to 85.1%, a difference of 3.8%).

When considering family structure, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in births to unmarried women (41.0% compared to 24.7%, a difference of 66.0%), single mother households (7.3% compared to 5.4%, a difference of 35.9%), and divorced or separated (13.4% compared to 10.4%, a difference of 28.1%). Conversely, both communities are more comparable in terms of average family size (3.17 compared to 3.23, a difference of 1.7%), family households (64.8% compared to 66.4%, a difference of 2.6%), and currently married (47.1% compared to 50.0%, a difference of 6.2%).

When considering vehicle availability, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 6.1%, a difference of 2.6%), 2 or more vehicles in household (57.7% compared to 56.6%, a difference of 1.9%), and no vehicles in household (8.4% compared to 8.6%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 91.5%, a difference of 0.22%), 3 or more vehicles in household (19.3% compared to 19.3%, a difference of 0.24%), and no vehicles in household (8.4% compared to 8.6%, a difference of 1.6%).

When considering education level, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in master's degree (11.0% compared to 20.7%, a difference of 88.9%), doctorate degree (1.5% compared to 2.6%, a difference of 81.2%), and professional degree (3.4% compared to 5.9%, a difference of 75.0%). Conversely, both communities are more comparable in terms of 8th grade (96.3% compared to 96.1%, a difference of 0.22%), 9th grade (95.1% compared to 95.4%, a difference of 0.32%), and nursery school (98.4% compared to 98.0%, a difference of 0.33%).

When considering disability, the most significant differences between Cajun and Immigrants from South Central Asia communities in the United States are seen in disability age 35 to 64 (15.3% compared to 8.9%, a difference of 73.1%), vision disability (3.1% compared to 1.8%, a difference of 71.3%), and disability age under 5 (1.6% compared to 1.0%, a difference of 56.2%). Conversely, both communities are more comparable in terms of cognitive disability (17.8% compared to 16.4%, a difference of 8.8%), disability age over 75 (50.7% compared to 46.0%, a difference of 10.2%), and self-care disability (2.9% compared to 2.2%, a difference of 34.1%).