Peruvian vs Houma Community Comparison

The statistical analysis conducted on geographies consisting of 33,060,449 people shows a mild positive correlation between the proportion of Houma within Peruvian communities in the United States with a correlation coefficient (R) of 0.364. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.471% in Houma. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 470.8 Houma.

When considering income, the most significant differences between Peruvian and Houma communities in the United States are seen in wage/income gap (25.6% compared to 38.7%, a difference of 51.0%), householder income ages 45 - 64 years ($105,070 compared to $72,093, a difference of 45.7%), and median household income ($90,261 compared to $62,575, a difference of 44.2%). Conversely, both communities are more comparable in terms of median male earnings ($55,659 compared to $50,547, a difference of 10.1%), median earnings ($47,628 compared to $38,949, a difference of 22.3%), and householder income under 25 years ($56,052 compared to $44,356, a difference of 26.4%).

When considering poverty, the most significant differences between Peruvian and Houma communities in the United States are seen in single male poverty (11.8% compared to 23.5%, a difference of 99.1%), female poverty among 25-34 year olds (12.7% compared to 22.7%, a difference of 79.4%), and single female poverty (19.4% compared to 33.8%, a difference of 74.6%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.3% compared to 6.4%, a difference of 20.4%), seniors poverty over the age of 75 (13.4% compared to 16.2%, a difference of 21.5%), and seniors poverty over the age of 65 (11.7% compared to 14.7%, a difference of 25.9%).

When considering unemployment, the most significant differences between Peruvian and Houma communities in the United States are seen in unemployment among ages 35 to 44 years (4.7% compared to 7.8%, a difference of 67.7%), unemployment among women with children ages 6 to 17 years (9.2% compared to 12.5%, a difference of 35.6%), and male unemployment (5.3% compared to 7.1%, a difference of 34.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.0% compared to 9.1%, a difference of 0.86%), unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 2.8%), and unemployment among ages 65 to 74 years (5.5% compared to 5.8%, a difference of 4.9%).

When considering labor participation, the most significant differences between Peruvian and Houma communities in the United States are seen in in labor force | age 45-54 (83.6% compared to 74.1%, a difference of 12.8%), in labor force | age > 16 (66.3% compared to 59.5%, a difference of 11.4%), and in labor force | age 20-64 (80.3% compared to 72.7%, a difference of 10.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.5% compared to 73.7%, a difference of 1.2%), in labor force | age 16-19 (34.6% compared to 35.6%, a difference of 2.9%), and in labor force | age 25-29 (84.7% compared to 81.2%, a difference of 4.3%).

When considering family structure, the most significant differences between Peruvian and Houma communities in the United States are seen in births to unmarried women (31.5% compared to 46.6%, a difference of 47.8%), single father households (2.4% compared to 2.9%, a difference of 22.7%), and single mother households (6.5% compared to 7.9%, a difference of 21.3%). Conversely, both communities are more comparable in terms of family households with children (29.0% compared to 28.5%, a difference of 1.7%), family households (67.1% compared to 65.7%, a difference of 2.1%), and currently married (46.6% compared to 45.5%, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Peruvian and Houma communities in the United States are seen in 4 or more vehicles in household (6.5% compared to 4.9%, a difference of 31.5%), 3 or more vehicles in household (19.6% compared to 16.1%, a difference of 22.2%), and no vehicles in household (11.2% compared to 11.5%, a difference of 1.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 88.6%, a difference of 0.21%), 2 or more vehicles in household (55.0% compared to 54.4%, a difference of 1.0%), and no vehicles in household (11.2% compared to 11.5%, a difference of 1.9%).

When considering education level, the most significant differences between Peruvian and Houma communities in the United States are seen in professional degree (4.5% compared to 2.2%, a difference of 103.3%), master's degree (15.3% compared to 7.9%, a difference of 93.3%), and doctorate degree (1.8% compared to 0.96%, a difference of 87.4%). Conversely, both communities are more comparable in terms of 7th grade (95.1% compared to 95.1%, a difference of 0.0%), 5th grade (96.8% compared to 96.6%, a difference of 0.21%), and 6th grade (96.4% compared to 96.2%, a difference of 0.21%).

When considering disability, the most significant differences between Peruvian and Houma communities in the United States are seen in disability age 35 to 64 (9.9% compared to 18.7%, a difference of 89.7%), disability age 5 to 17 (5.3% compared to 9.1%, a difference of 70.5%), and male disability (10.4% compared to 17.4%, a difference of 68.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 19.3%, a difference of 15.5%), disability age over 75 (46.8% compared to 56.2%, a difference of 19.9%), and self-care disability (2.4% compared to 3.0%, a difference of 24.5%).