Crow vs Houma Community Comparison

The statistical analysis conducted on geographies consisting of 20,397,425 people shows a perfect positive correlation between the proportion of Houma within Crow communities in the United States with a correlation coefficient (R) of 0.963. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.705% in Houma. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 704.5 Houma.

When considering income, the most significant differences between Crow and Houma communities in the United States are seen in wage/income gap (19.1% compared to 38.7%, a difference of 102.8%), median male earnings ($42,434 compared to $50,547, a difference of 19.1%), and median female earnings ($35,266 compared to $30,343, a difference of 16.2%). Conversely, both communities are more comparable in terms of median family income ($76,605 compared to $76,188, a difference of 0.55%), median earnings ($38,707 compared to $38,949, a difference of 0.62%), and median household income ($63,681 compared to $62,575, a difference of 1.8%).

When considering poverty, the most significant differences between Crow and Houma communities in the United States are seen in married-couple family poverty (9.6% compared to 6.4%, a difference of 49.9%), child poverty under the age of 5 (31.0% compared to 22.7%, a difference of 36.4%), and female poverty among 18-24 year olds (33.2% compared to 26.2%, a difference of 26.9%). Conversely, both communities are more comparable in terms of child poverty among boys under 16 (26.3% compared to 26.2%, a difference of 0.16%), female poverty among 25-34 year olds (22.7% compared to 22.7%, a difference of 0.17%), and single male poverty (23.3% compared to 23.5%, a difference of 0.82%).

When considering unemployment, the most significant differences between Crow and Houma communities in the United States are seen in unemployment among seniors over 65 years (16.9% compared to 4.8%, a difference of 253.5%), unemployment among ages 65 to 74 years (17.4% compared to 5.8%, a difference of 199.7%), and unemployment among ages 45 to 54 years (13.7% compared to 5.6%, a difference of 144.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.1%), unemployment among ages 55 to 59 years (5.9% compared to 5.6%, a difference of 4.5%), and unemployment among women with children under 18 years (8.2% compared to 6.8%, a difference of 21.0%).

When considering labor participation, the most significant differences between Crow and Houma communities in the United States are seen in in labor force | age 16-19 (38.5% compared to 35.6%, a difference of 8.1%), in labor force | age 45-54 (78.3% compared to 74.1%, a difference of 5.7%), and in labor force | age 30-34 (75.9% compared to 79.9%, a difference of 5.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (73.3% compared to 72.7%, a difference of 0.76%), in labor force | age > 16 (60.8% compared to 59.5%, a difference of 2.1%), and in labor force | age 25-29 (78.6% compared to 81.2%, a difference of 3.3%).

When considering family structure, the most significant differences between Crow and Houma communities in the United States are seen in single father households (3.5% compared to 2.9%, a difference of 20.3%), average family size (3.82 compared to 3.18, a difference of 20.3%), and births to unmarried women (40.4% compared to 46.6%, a difference of 15.3%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 65.7%, a difference of 0.66%), divorced or separated (14.1% compared to 13.6%, a difference of 3.6%), and family households with children (27.4% compared to 28.5%, a difference of 4.3%).

When considering vehicle availability, the most significant differences between Crow and Houma communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 4.9%, a difference of 58.4%), 3 or more vehicles in household (22.5% compared to 16.1%, a difference of 39.9%), and no vehicles in household (11.0% compared to 11.5%, a difference of 3.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.6%, a difference of 0.73%), 2 or more vehicles in household (55.7% compared to 54.4%, a difference of 2.4%), and no vehicles in household (11.0% compared to 11.5%, a difference of 3.8%).

When considering education level, the most significant differences between Crow and Houma communities in the United States are seen in no schooling completed (1.6% compared to 2.8%, a difference of 69.9%), doctorate degree (1.5% compared to 0.96%, a difference of 54.2%), and professional degree (3.2% compared to 2.2%, a difference of 42.5%). Conversely, both communities are more comparable in terms of nursery school (99.7% compared to 97.3%, a difference of 2.5%), kindergarten (99.7% compared to 97.3%, a difference of 2.5%), and 1st grade (99.6% compared to 97.2%, a difference of 2.5%).

When considering disability, the most significant differences between Crow and Houma communities in the United States are seen in disability age 5 to 17 (5.4% compared to 9.1%, a difference of 67.9%), disability age under 5 (1.2% compared to 1.9%, a difference of 50.7%), and vision disability (2.5% compared to 3.4%, a difference of 38.0%). Conversely, both communities are more comparable in terms of hearing disability (4.2% compared to 4.2%, a difference of 1.6%), cognitive disability (17.3% compared to 19.3%, a difference of 11.2%), and disability age over 75 (49.6% compared to 56.2%, a difference of 13.2%).