French vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 471,113,667 people shows a moderate positive correlation between the proportion of Immigrants from South Central Asia within French communities in the United States with a correlation coefficient (R) of 0.464. On average, for every 1% (one percent) increase in French within a typical geography, there is an increase of 0.062% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 French corresponds to an increase of 62.3 Immigrants from South Central Asia.

When considering income, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in median household income ($83,468 compared to $106,057, a difference of 27.1%), median male earnings ($55,350 compared to $68,960, a difference of 24.6%), and householder income ages 25 - 44 years ($93,665 compared to $116,626, a difference of 24.5%). Conversely, both communities are more comparable in terms of wage/income gap (28.7% compared to 29.3%, a difference of 2.2%), householder income under 25 years ($51,230 compared to $57,818, a difference of 12.9%), and householder income over 65 years ($59,656 compared to $70,103, a difference of 17.5%).

When considering poverty, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in female poverty among 25-34 year olds (14.3% compared to 10.8%, a difference of 32.9%), child poverty under the age of 5 (17.5% compared to 13.3%, a difference of 32.3%), and single male poverty (14.4% compared to 10.9%, a difference of 32.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (9.7% compared to 9.7%, a difference of 0.11%), married-couple family poverty (4.3% compared to 4.3%, a difference of 0.73%), and seniors poverty over the age of 75 (11.1% compared to 11.4%, a difference of 2.4%).

When considering unemployment, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.2%, a difference of 25.3%), unemployment among women with children under 6 years (8.2% compared to 6.6%, a difference of 23.5%), and unemployment among women with children ages 6 to 17 years (9.7% compared to 7.9%, a difference of 22.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.1% compared to 10.1%, a difference of 0.29%), unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.38%), and unemployment (4.8% compared to 4.9%, a difference of 0.40%).

When considering labor participation, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 16-19 (42.1% compared to 34.6%, a difference of 21.8%), in labor force | age > 16 (63.9% compared to 67.1%, a difference of 4.9%), and in labor force | age 20-24 (77.4% compared to 74.0%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 85.2%, a difference of 0.62%), in labor force | age 30-34 (84.4% compared to 85.1%, a difference of 0.83%), and in labor force | age 35-44 (84.0% compared to 85.0%, a difference of 1.1%).

When considering family structure, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in births to unmarried women (33.4% compared to 24.7%, a difference of 35.5%), divorced or separated (12.8% compared to 10.4%, a difference of 22.3%), and single father households (2.4% compared to 2.0%, a difference of 20.6%). Conversely, both communities are more comparable in terms of currently married (48.4% compared to 50.0%, a difference of 3.3%), family households (64.0% compared to 66.4%, a difference of 3.7%), and average family size (3.10 compared to 3.23, a difference of 4.2%).

When considering vehicle availability, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in no vehicles in household (7.4% compared to 8.6%, a difference of 15.1%), 4 or more vehicles in household (6.9% compared to 6.1%, a difference of 13.3%), and 3 or more vehicles in household (21.4% compared to 19.3%, a difference of 10.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.7% compared to 91.5%, a difference of 1.3%), 2 or more vehicles in household (59.8% compared to 56.6%, a difference of 5.6%), and 3 or more vehicles in household (21.4% compared to 19.3%, a difference of 10.7%).

When considering education level, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in master's degree (14.4% compared to 20.7%, a difference of 44.2%), doctorate degree (1.8% compared to 2.6%, a difference of 43.2%), and professional degree (4.2% compared to 5.9%, a difference of 38.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.6% compared to 92.6%, a difference of 0.020%), high school diploma (91.0% compared to 90.9%, a difference of 0.10%), and 11th grade (94.1% compared to 93.6%, a difference of 0.47%).

When considering disability, the most significant differences between French and Immigrants from South Central Asia communities in the United States are seen in disability age under 5 (1.7% compared to 1.0%, a difference of 64.5%), hearing disability (3.8% compared to 2.6%, a difference of 45.4%), and disability age 35 to 64 (12.7% compared to 8.9%, a difference of 43.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.0%, a difference of 2.6%), cognitive disability (17.0% compared to 16.4%, a difference of 4.0%), and self-care disability (2.5% compared to 2.2%, a difference of 15.4%).