Crow vs Czech Community Comparison

The statistical analysis conducted on geographies consisting of 57,919,925 people shows a poor negative correlation between the proportion of Czechs within Crow communities in the United States with a correlation coefficient (R) of -0.119. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.014% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 14.4 Czechs.

When considering income, the most significant differences between Crow and Czech communities in the United States are seen in wage/income gap (19.1% compared to 29.2%, a difference of 53.1%), per capita income ($31,729 compared to $44,595, a difference of 40.6%), and householder income ages 45 - 64 years ($74,257 compared to $103,507, a difference of 39.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $51,421, a difference of 9.4%), median female earnings ($35,266 compared to $38,992, a difference of 10.6%), and median earnings ($38,707 compared to $47,221, a difference of 22.0%).

When considering poverty, the most significant differences between Crow and Czech communities in the United States are seen in married-couple family poverty (9.6% compared to 4.0%, a difference of 137.7%), family poverty (16.1% compared to 7.4%, a difference of 117.3%), and child poverty under the age of 5 (31.0% compared to 15.5%, a difference of 99.6%). Conversely, both communities are more comparable in terms of single mother poverty (38.6% compared to 28.9%, a difference of 33.7%), receiving food stamps (13.4% compared to 9.2%, a difference of 45.6%), and seniors poverty over the age of 75 (15.9% compared to 10.5%, a difference of 51.1%).

When considering unemployment, the most significant differences between Crow and Czech communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.1%, a difference of 278.9%), unemployment among seniors over 65 years (16.9% compared to 4.7%, a difference of 258.8%), and unemployment among ages 65 to 74 years (17.4% compared to 5.0%, a difference of 251.3%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 8.7%, a difference of 6.4%), unemployment among ages 60 to 64 years (5.0% compared to 4.4%, a difference of 11.3%), and unemployment among ages 55 to 59 years (5.9% compared to 4.4%, a difference of 34.5%).

When considering labor participation, the most significant differences between Crow and Czech communities in the United States are seen in in labor force | age 16-19 (38.5% compared to 43.6%, a difference of 13.4%), in labor force | age 30-34 (75.9% compared to 85.5%, a difference of 12.6%), and in labor force | age 35-44 (76.5% compared to 85.3%, a difference of 11.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 78.5%, a difference of 2.1%), in labor force | age 45-54 (78.3% compared to 83.9%, a difference of 7.2%), and in labor force | age > 16 (60.8% compared to 65.4%, a difference of 7.6%).

When considering family structure, the most significant differences between Crow and Czech communities in the United States are seen in single father households (3.5% compared to 2.3%, a difference of 51.8%), births to unmarried women (40.4% compared to 30.5%, a difference of 32.2%), and single mother households (7.4% compared to 5.6%, a difference of 31.9%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.5%, a difference of 0.67%), family households (65.3% compared to 64.5%, a difference of 1.3%), and divorced or separated (14.1% compared to 11.9%, a difference of 18.0%).

When considering vehicle availability, the most significant differences between Crow and Czech communities in the United States are seen in no vehicles in household (11.0% compared to 6.9%, a difference of 60.4%), 2 or more vehicles in household (55.7% compared to 61.5%, a difference of 10.3%), and 4 or more vehicles in household (7.8% compared to 7.4%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.5% compared to 22.5%, a difference of 0.21%), 1 or more vehicles in household (89.3% compared to 93.3%, a difference of 4.4%), and 4 or more vehicles in household (7.8% compared to 7.4%, a difference of 5.9%).

When considering education level, the most significant differences between Crow and Czech communities in the United States are seen in master's degree (10.6% compared to 14.7%, a difference of 38.6%), professional degree (3.2% compared to 4.4%, a difference of 38.5%), and bachelor's degree (27.7% compared to 38.0%, a difference of 36.9%). Conversely, both communities are more comparable in terms of 9th grade (96.1% compared to 96.4%, a difference of 0.33%), 10th grade (94.7% compared to 95.5%, a difference of 0.83%), and nursery school (99.7% compared to 98.6%, a difference of 1.1%).

When considering disability, the most significant differences between Crow and Czech communities in the United States are seen in disability age 35 to 64 (14.6% compared to 11.3%, a difference of 29.5%), disability age under 5 (1.2% compared to 1.5%, a difference of 25.1%), and disability age 65 to 74 (27.9% compared to 22.4%, a difference of 24.6%). Conversely, both communities are more comparable in terms of female disability (12.7% compared to 12.1%, a difference of 4.4%), cognitive disability (17.3% compared to 16.4%, a difference of 5.8%), and disability age 5 to 17 (5.4% compared to 5.8%, a difference of 7.0%).