Crow vs Indonesian Community Comparison

The statistical analysis conducted on geographies consisting of 42,348,465 people shows a perfect positive correlation between the proportion of Indonesians within Crow communities in the United States with a correlation coefficient (R) of 0.968. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 1.052% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 1,051.7 Indonesians.

When considering income, the most significant differences between Crow and Indonesian communities in the United States are seen in wage/income gap (19.1% compared to 22.7%, a difference of 19.2%), per capita income ($31,729 compared to $37,300, a difference of 17.6%), and median family income ($76,605 compared to $88,301, a difference of 15.3%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $36,140, a difference of 2.5%), householder income under 25 years ($47,012 compared to $45,566, a difference of 3.2%), and median earnings ($38,707 compared to $41,701, a difference of 7.7%).

When considering poverty, the most significant differences between Crow and Indonesian communities in the United States are seen in single father poverty (30.3% compared to 17.4%, a difference of 73.9%), single male poverty (23.3% compared to 14.1%, a difference of 65.0%), and married-couple family poverty (9.6% compared to 6.3%, a difference of 51.0%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 13.9%, a difference of 3.2%), single mother poverty (38.6% compared to 32.4%, a difference of 19.3%), and child poverty under the age of 16 (26.0% compared to 21.0%, a difference of 23.8%).

When considering unemployment, the most significant differences between Crow and Indonesian communities in the United States are seen in unemployment among ages 65 to 74 years (17.4% compared to 4.7%, a difference of 270.9%), unemployment among seniors over 65 years (16.9% compared to 4.5%, a difference of 270.9%), and unemployment among ages 35 to 44 years (15.7% compared to 4.7%, a difference of 235.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.2%, a difference of 17.0%), unemployment among women with children ages 6 to 17 years (9.2% compared to 7.4%, a difference of 24.8%), and unemployment among seniors over 75 years (5.9% compared to 7.9%, a difference of 33.9%).

When considering labor participation, the most significant differences between Crow and Indonesian communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 84.3%, a difference of 11.1%), in labor force | age 35-44 (76.5% compared to 83.7%, a difference of 9.5%), and in labor force | age > 16 (60.8% compared to 66.3%, a difference of 9.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 77.2%, a difference of 0.43%), in labor force | age 45-54 (78.3% compared to 81.5%, a difference of 4.1%), and in labor force | age 16-19 (38.5% compared to 40.7%, a difference of 5.8%).

When considering family structure, the most significant differences between Crow and Indonesian communities in the United States are seen in single father households (3.5% compared to 2.6%, a difference of 37.0%), average family size (3.82 compared to 3.28, a difference of 16.8%), and births to unmarried women (40.4% compared to 35.0%, a difference of 15.3%). Conversely, both communities are more comparable in terms of single mother households (7.4% compared to 7.5%, a difference of 0.48%), married-couple households (41.4% compared to 42.0%, a difference of 1.7%), and family households with children (27.4% compared to 28.1%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Crow and Indonesian communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 6.0%, a difference of 30.7%), 3 or more vehicles in household (22.5% compared to 18.3%, a difference of 22.9%), and no vehicles in household (11.0% compared to 10.3%, a difference of 7.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.7%, a difference of 0.49%), 2 or more vehicles in household (55.7% compared to 53.4%, a difference of 4.4%), and no vehicles in household (11.0% compared to 10.3%, a difference of 7.1%).

When considering education level, the most significant differences between Crow and Indonesian communities in the United States are seen in no schooling completed (1.6% compared to 3.2%, a difference of 95.8%), bachelor's degree (27.7% compared to 33.5%, a difference of 20.9%), and master's degree (10.6% compared to 12.6%, a difference of 18.9%). Conversely, both communities are more comparable in terms of college, 1 year or more (54.5% compared to 55.1%, a difference of 1.1%), ged/equivalency (83.8% compared to 82.5%, a difference of 1.5%), and 12th grade, no diploma (90.0% compared to 88.6%, a difference of 1.5%).

When considering disability, the most significant differences between Crow and Indonesian communities in the United States are seen in hearing disability (4.2% compared to 3.0%, a difference of 39.1%), disability age 18 to 34 (8.3% compared to 7.2%, a difference of 14.5%), and male disability (13.1% compared to 11.6%, a difference of 12.6%). Conversely, both communities are more comparable in terms of female disability (12.7% compared to 12.8%, a difference of 1.3%), self-care disability (2.5% compared to 2.5%, a difference of 1.6%), and disability age over 75 (49.6% compared to 48.2%, a difference of 3.0%).