Nonimmigrants vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 473,136,250 people shows a weak negative correlation between the proportion of Immigrants from South Central Asia within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.293. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.041% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 41.4 Immigrants from South Central Asia.

When considering income, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in median household income ($79,429 compared to $106,057, a difference of 33.5%), median male earnings ($52,170 compared to $68,960, a difference of 32.2%), and householder income ages 25 - 44 years ($88,301 compared to $116,626, a difference of 32.1%). Conversely, both communities are more comparable in terms of wage/income gap (27.2% compared to 29.3%, a difference of 7.9%), householder income under 25 years ($49,348 compared to $57,818, a difference of 17.2%), and householder income over 65 years ($57,426 compared to $70,103, a difference of 22.1%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in child poverty under the age of 5 (19.7% compared to 13.3%, a difference of 48.9%), female poverty among 25-34 year olds (15.6% compared to 10.8%, a difference of 45.4%), and child poverty among girls under 16 (18.3% compared to 12.7%, a difference of 43.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 11.4%, a difference of 7.4%), seniors poverty over the age of 65 (10.9% compared to 9.7%, a difference of 12.7%), and female poverty among 18-24 year olds (21.5% compared to 17.6%, a difference of 22.3%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 6.6%, a difference of 33.9%), unemployment among women with children ages 6 to 17 years (10.0% compared to 7.9%, a difference of 25.9%), and unemployment among ages 30 to 34 years (6.1% compared to 4.9%, a difference of 24.2%). 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 2.5%), unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 2.8%), and unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 2.9%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 34.6%, a difference of 16.0%), in labor force | age > 16 (63.5% compared to 67.1%, a difference of 5.6%), and in labor force | age 45-54 (81.2% compared to 84.0%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 85.2%, a difference of 1.8%), in labor force | age 30-34 (83.5% compared to 85.1%, a difference of 1.9%), and in labor force | age 35-44 (83.2% compared to 85.0%, a difference of 2.1%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in births to unmarried women (35.5% compared to 24.7%, a difference of 44.0%), single father households (2.4% compared to 2.0%, a difference of 24.4%), and single mother households (6.7% compared to 5.4%, a difference of 23.8%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.23, a difference of 1.3%), family households (64.8% compared to 66.4%, a difference of 2.5%), and currently married (46.9% compared to 50.0%, a difference of 6.6%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in 4 or more vehicles in household (7.2% compared to 6.1%, a difference of 18.1%), 3 or more vehicles in household (21.8% compared to 19.3%, a difference of 12.6%), and no vehicles in household (7.9% compared to 8.6%, a difference of 8.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 91.5%, a difference of 0.82%), 2 or more vehicles in household (58.8% compared to 56.6%, a difference of 3.8%), and no vehicles in household (7.9% compared to 8.6%, a difference of 8.4%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in doctorate degree (1.7% compared to 2.6%, a difference of 56.3%), master's degree (13.3% compared to 20.7%, a difference of 55.4%), and professional degree (3.9% compared to 5.9%, a difference of 51.3%). Conversely, both communities are more comparable in terms of 9th grade (95.3% compared to 95.4%, a difference of 0.090%), 8th grade (96.2% compared to 96.1%, a difference of 0.17%), and 4th grade (97.9% compared to 97.6%, a difference of 0.24%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from South Central Asia communities in the United States are seen in disability age under 5 (1.6% compared to 1.0%, a difference of 56.2%), disability age 35 to 64 (13.0% compared to 8.9%, a difference of 47.2%), and vision disability (2.5% compared to 1.8%, a difference of 38.9%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 46.0%, a difference of 4.5%), cognitive disability (17.4% compared to 16.4%, a difference of 6.3%), and self-care disability (2.6% compared to 2.2%, a difference of 20.5%).