Indian (Asian) vs French Community Comparison

The statistical analysis conducted on geographies consisting of 492,694,296 people shows a substantial negative correlation between the proportion of French within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.533. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.023% in French. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 23.4 French.

When considering income, the most significant differences between Indian (Asian) and French communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $93,665, a difference of 27.6%), median household income ($105,262 compared to $83,468, a difference of 26.1%), and per capita income ($53,874 compared to $43,685, a difference of 23.3%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 28.7%, a difference of 8.5%), householder income under 25 years ($58,239 compared to $51,230, a difference of 13.7%), and householder income over 65 years ($70,238 compared to $59,656, a difference of 17.7%).

When considering poverty, the most significant differences between Indian (Asian) and French communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 17.5%, a difference of 30.4%), single male poverty (11.3% compared to 14.4%, a difference of 28.1%), and female poverty among 25-34 year olds (11.2% compared to 14.3%, a difference of 27.9%). Conversely, both communities are more comparable in terms of male poverty (10.4% compared to 10.7%, a difference of 2.8%), poverty (11.3% compared to 11.8%, a difference of 4.0%), and female poverty (12.2% compared to 12.9%, a difference of 5.5%).

When considering unemployment, the most significant differences between Indian (Asian) and French communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.2%, a difference of 29.5%), unemployment among seniors over 75 years (8.0% compared to 10.3%, a difference of 29.0%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.7%, a difference of 25.5%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.57%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.72%), and unemployment among ages 20 to 24 years (10.3% compared to 10.1%, a difference of 1.4%).

When considering labor participation, the most significant differences between Indian (Asian) and French communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 42.1%, a difference of 32.2%), in labor force | age 20-24 (71.9% compared to 77.4%, a difference of 7.6%), and in labor force | age > 16 (65.5% compared to 63.9%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.0%), in labor force | age 35-44 (84.8% compared to 84.0%, a difference of 0.93%), and in labor force | age 30-34 (85.4% compared to 84.4%, a difference of 1.1%).

When considering family structure, the most significant differences between Indian (Asian) and French communities in the United States are seen in births to unmarried women (25.3% compared to 33.4%, a difference of 32.3%), divorced or separated (10.2% compared to 12.8%, a difference of 25.1%), and single father households (1.9% compared to 2.4%, a difference of 24.4%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 48.4%, a difference of 0.98%), married-couple households (48.7% compared to 48.0%, a difference of 1.5%), and family households (65.1% compared to 64.0%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Indian (Asian) and French communities in the United States are seen in no vehicles in household (14.1% compared to 7.4%, a difference of 89.0%), 2 or more vehicles in household (53.1% compared to 59.8%, a difference of 12.6%), and 3 or more vehicles in household (19.1% compared to 21.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.9%, a difference of 7.7%), 1 or more vehicles in household (86.0% compared to 92.7%, a difference of 7.7%), and 3 or more vehicles in household (19.1% compared to 21.4%, a difference of 12.0%).

When considering education level, the most significant differences between Indian (Asian) and French communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 66.8%), doctorate degree (2.9% compared to 1.8%, a difference of 58.5%), and professional degree (6.5% compared to 4.2%, a difference of 53.5%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.1%, a difference of 0.080%), nursery school (97.6% compared to 98.6%, a difference of 0.98%), and kindergarten (97.6% compared to 98.6%, a difference of 0.99%).

When considering disability, the most significant differences between Indian (Asian) and French communities in the United States are seen in disability age under 5 (1.0% compared to 1.7%, a difference of 68.8%), disability age 35 to 64 (8.9% compared to 12.7%, a difference of 43.3%), and disability age 18 to 34 (5.5% compared to 7.9%, a difference of 41.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 17.0%, a difference of 0.98%), disability age over 75 (46.5% compared to 47.2%, a difference of 1.4%), and self-care disability (2.3% compared to 2.5%, a difference of 8.2%).