Indian (Asian) vs Ottawa Community Comparison

The statistical analysis conducted on geographies consisting of 48,287,724 people shows a poor positive correlation between the proportion of Ottawa within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.195. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.002% in Ottawa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 1.8 Ottawa.

When considering income, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $79,012, a difference of 51.2%), median household income ($105,262 compared to $70,984, a difference of 48.3%), and householder income ages 45 - 64 years ($122,343 compared to $83,953, a difference of 45.7%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 27.0%, a difference of 2.0%), householder income under 25 years ($58,239 compared to $47,366, a difference of 23.0%), and householder income over 65 years ($70,238 compared to $53,217, a difference of 32.0%).

When considering poverty, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in female poverty among 25-34 year olds (11.2% compared to 17.1%, a difference of 53.0%), child poverty under the age of 5 (13.4% compared to 20.3%, a difference of 51.2%), and child poverty among boys under 16 (13.3% compared to 19.5%, a difference of 47.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 10.4%, a difference of 6.3%), married-couple family poverty (4.8% compared to 5.2%, a difference of 7.7%), and seniors poverty over the age of 75 (12.7% compared to 11.4%, a difference of 12.1%).

When considering unemployment, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 9.9%, a difference of 56.7%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.9%, a difference of 40.7%), and unemployment among ages 35 to 44 years (4.4% compared to 5.6%, a difference of 25.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.0% compared to 7.9%, a difference of 0.88%), unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.5%), and unemployment among ages 20 to 24 years (10.3% compared to 10.1%, a difference of 1.7%).

When considering labor participation, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 43.0%, a difference of 35.0%), in labor force | age 20-24 (71.9% compared to 76.8%, a difference of 6.9%), and in labor force | age > 16 (65.5% compared to 62.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 83.0%, a difference of 2.1%), in labor force | age 35-44 (84.8% compared to 82.6%, a difference of 2.7%), and in labor force | age 30-34 (85.4% compared to 82.4%, a difference of 3.6%).

When considering family structure, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in births to unmarried women (25.3% compared to 36.5%, a difference of 44.3%), single father households (1.9% compared to 2.7%, a difference of 39.7%), and divorced or separated (10.2% compared to 13.2%, a difference of 29.7%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 46.5%, a difference of 3.1%), family households (65.1% compared to 63.0%, a difference of 3.4%), and average family size (3.24 compared to 3.11, a difference of 4.3%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in no vehicles in household (14.1% compared to 7.4%, a difference of 90.5%), 2 or more vehicles in household (53.1% compared to 57.9%, a difference of 9.0%), and 1 or more vehicles in household (86.0% compared to 92.7%, a difference of 7.7%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.6%, a difference of 3.0%), 3 or more vehicles in household (19.1% compared to 20.1%, a difference of 5.3%), and 1 or more vehicles in household (86.0% compared to 92.7%, a difference of 7.7%).

When considering education level, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in professional degree (6.5% compared to 3.4%, a difference of 90.2%), doctorate degree (2.9% compared to 1.6%, a difference of 83.8%), and master's degree (20.5% compared to 11.9%, a difference of 72.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.9%, a difference of 0.38%), high school diploma (89.6% compared to 90.1%, a difference of 0.57%), and nursery school (97.6% compared to 98.5%, a difference of 0.84%).

When considering disability, the most significant differences between Indian (Asian) and Ottawa communities in the United States are seen in disability age under 5 (1.0% compared to 1.7%, a difference of 70.7%), disability age 35 to 64 (8.9% compared to 14.6%, a difference of 65.2%), and disability age 18 to 34 (5.5% compared to 8.6%, a difference of 54.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.6%, a difference of 2.3%), cognitive disability (16.8% compared to 18.2%, a difference of 7.9%), and self-care disability (2.3% compared to 2.7%, a difference of 14.8%).