Hmong vs Yakama Community Comparison

The statistical analysis conducted on geographies consisting of 924,187 people shows a perfect positive correlation between the proportion of Yakama within Hmong communities in the United States with a correlation coefficient (R) of 0.999. On average, for every 1% (one percent) increase in Hmong within a typical geography, there is an increase of 0.379% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hmong corresponds to an increase of 378.9 Yakama.

When considering income, the most significant differences between Hmong and Yakama communities in the United States are seen in wage/income gap (27.7% compared to 23.7%, a difference of 16.6%), per capita income ($38,120 compared to $33,009, a difference of 15.5%), and householder income ages 25 - 44 years ($84,258 compared to $76,226, a difference of 10.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($56,339 compared to $56,234, a difference of 0.19%), householder income ages 45 - 64 years ($88,115 compared to $86,992, a difference of 1.3%), and median household income ($75,839 compared to $72,225, a difference of 5.0%).

When considering poverty, the most significant differences between Hmong and Yakama communities in the United States are seen in receiving food stamps (10.9% compared to 21.4%, a difference of 96.4%), married-couple family poverty (5.0% compared to 9.0%, a difference of 80.0%), and seniors poverty over the age of 75 (12.0% compared to 18.3%, a difference of 53.0%). Conversely, both communities are more comparable in terms of single male poverty (14.2% compared to 15.9%, a difference of 12.2%), single father poverty (15.9% compared to 18.1%, a difference of 14.2%), and single mother poverty (31.2% compared to 36.4%, a difference of 16.5%).

When considering unemployment, the most significant differences between Hmong and Yakama communities in the United States are seen in unemployment among ages 30 to 34 years (4.9% compared to 9.8%, a difference of 100.0%), unemployment among women with children under 18 years (4.5% compared to 8.1%, a difference of 79.1%), and unemployment among seniors over 65 years (4.2% compared to 6.7%, a difference of 57.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.7% compared to 6.6%, a difference of 0.45%), unemployment among ages 35 to 44 years (5.0% compared to 5.6%, a difference of 13.5%), and unemployment among women with children ages 6 to 17 years (8.7% compared to 9.9%, a difference of 13.9%).

When considering labor participation, the most significant differences between Hmong and Yakama communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 36.9%, a difference of 5.0%), in labor force | age 35-44 (82.6% compared to 79.0%, a difference of 4.6%), and in labor force | age 30-34 (82.4% compared to 79.1%, a difference of 4.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.7% compared to 80.6%, a difference of 1.4%), in labor force | age 20-24 (76.5% compared to 75.1%, a difference of 2.0%), and in labor force | age 20-64 (77.9% compared to 75.8%, a difference of 2.8%).

When considering family structure, the most significant differences between Hmong and Yakama communities in the United States are seen in single father households (2.4% compared to 4.2%, a difference of 76.7%), births to unmarried women (27.7% compared to 40.3%, a difference of 45.4%), and single mother households (6.4% compared to 8.4%, a difference of 31.8%). Conversely, both communities are more comparable in terms of divorced or separated (12.3% compared to 12.3%, a difference of 0.11%), married-couple households (47.0% compared to 45.2%, a difference of 3.8%), and family households (64.9% compared to 69.3%, a difference of 6.9%).

When considering vehicle availability, the most significant differences between Hmong and Yakama communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 12.9%, a difference of 85.4%), no vehicles in household (10.4% compared to 6.6%, a difference of 56.8%), and 3 or more vehicles in household (21.0% compared to 31.0%, a difference of 47.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 93.6%, a difference of 4.4%), 2 or more vehicles in household (57.8% compared to 64.9%, a difference of 12.3%), and 3 or more vehicles in household (21.0% compared to 31.0%, a difference of 47.7%).

When considering education level, the most significant differences between Hmong and Yakama communities in the United States are seen in no schooling completed (1.9% compared to 3.6%, a difference of 82.4%), bachelor's degree (34.8% compared to 24.5%, a difference of 42.0%), and master's degree (13.4% compared to 9.5%, a difference of 41.6%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 96.6%, a difference of 1.5%), kindergarten (98.1% compared to 96.6%, a difference of 1.5%), and 1st grade (98.0% compared to 96.5%, a difference of 1.6%).

When considering disability, the most significant differences between Hmong and Yakama communities in the United States are seen in disability age 65 to 74 (25.7% compared to 29.6%, a difference of 15.5%), hearing disability (3.4% compared to 3.9%, a difference of 15.1%), and disability age under 5 (1.1% compared to 1.00%, a difference of 13.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (6.3% compared to 6.3%, a difference of 0.72%), female disability (13.1% compared to 13.2%, a difference of 1.1%), and cognitive disability (18.4% compared to 18.1%, a difference of 1.9%).