Chinese vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 26,491,230 people shows a substantial positive correlation between the proportion of Crow within Chinese communities in the United States with a correlation coefficient (R) of 0.573. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.105% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 105.1 Crow.

When considering income, the most significant differences between Chinese and Crow communities in the United States are seen in householder income over 65 years ($77,465 compared to $49,234, a difference of 57.3%), householder income ages 45 - 64 years ($116,156 compared to $74,257, a difference of 56.4%), and median household income ($98,496 compared to $63,681, a difference of 54.7%). Conversely, both communities are more comparable in terms of median female earnings ($41,461 compared to $35,266, a difference of 17.6%), householder income under 25 years ($58,162 compared to $47,012, a difference of 23.7%), and median earnings ($48,836 compared to $38,707, a difference of 26.2%).

When considering poverty, the most significant differences between Chinese and Crow communities in the United States are seen in married-couple family poverty (3.6% compared to 9.6%, a difference of 162.1%), family poverty (6.5% compared to 16.1%, a difference of 147.6%), and child poverty under the age of 5 (13.1% compared to 31.0%, a difference of 137.4%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 13.4%, a difference of 37.4%), single mother poverty (24.6% compared to 38.6%, a difference of 56.9%), and seniors poverty over the age of 75 (9.1% compared to 15.9%, a difference of 75.8%).

When considering unemployment, the most significant differences between Chinese and Crow communities in the United States are seen in unemployment among seniors over 65 years (4.2% compared to 16.9%, a difference of 301.8%), unemployment among ages 65 to 74 years (4.4% compared to 17.4%, a difference of 291.3%), and unemployment among ages 35 to 44 years (4.3% compared to 15.7%, a difference of 265.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (5.9% compared to 5.9%, a difference of 0.010%), unemployment among women with children ages 6 to 17 years (9.3% compared to 9.2%, a difference of 0.13%), and unemployment among ages 60 to 64 years (4.0% compared to 5.0%, a difference of 23.8%).

When considering labor participation, the most significant differences between Chinese and Crow communities in the United States are seen in in labor force | age 30-34 (85.0% compared to 75.9%, a difference of 12.0%), in labor force | age 35-44 (85.1% compared to 76.5%, a difference of 11.2%), and in labor force | age 20-64 (80.7% compared to 73.3%, a difference of 10.1%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (38.6% compared to 38.5%, a difference of 0.28%), in labor force | age 20-24 (77.3% compared to 76.9%, a difference of 0.49%), and in labor force | age > 16 (64.7% compared to 60.8%, a difference of 6.4%).

When considering family structure, the most significant differences between Chinese and Crow communities in the United States are seen in single father households (2.0% compared to 3.5%, a difference of 78.2%), single mother households (5.2% compared to 7.4%, a difference of 44.3%), and births to unmarried women (30.2% compared to 40.4%, a difference of 33.5%). Conversely, both communities are more comparable in terms of family households (68.1% compared to 65.3%, a difference of 4.4%), family households with children (26.0% compared to 27.4%, a difference of 5.2%), and average family size (3.34 compared to 3.82, a difference of 14.5%).

When considering vehicle availability, the most significant differences between Chinese and Crow communities in the United States are seen in no vehicles in household (8.2% compared to 11.0%, a difference of 34.3%), 4 or more vehicles in household (8.8% compared to 7.8%, a difference of 13.7%), and 2 or more vehicles in household (60.1% compared to 55.7%, a difference of 7.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 89.3%, a difference of 2.9%), 3 or more vehicles in household (23.9% compared to 22.5%, a difference of 6.2%), and 2 or more vehicles in household (60.1% compared to 55.7%, a difference of 7.8%).

When considering education level, the most significant differences between Chinese and Crow communities in the United States are seen in professional degree (4.5% compared to 3.2%, a difference of 41.3%), bachelor's degree (38.5% compared to 27.7%, a difference of 38.6%), and master's degree (14.6% compared to 10.6%, a difference of 37.0%). Conversely, both communities are more comparable in terms of 9th grade (96.3% compared to 96.1%, a difference of 0.24%), 10th grade (95.5% compared to 94.7%, a difference of 0.89%), and nursery school (98.6% compared to 99.7%, a difference of 1.1%).

When considering disability, the most significant differences between Chinese and Crow communities in the United States are seen in disability age 35 to 64 (10.3% compared to 14.6%, a difference of 41.9%), disability age 18 to 34 (6.3% compared to 8.3%, a difference of 30.9%), and disability age 65 to 74 (21.7% compared to 27.9%, a difference of 28.7%). Conversely, both communities are more comparable in terms of disability age over 75 (48.7% compared to 49.6%, a difference of 1.8%), self-care disability (2.6% compared to 2.5%, a difference of 2.1%), and female disability (12.3% compared to 12.7%, a difference of 2.7%).