Immigrants from Indonesia vs Immigrants from Hungary Community Comparison

The statistical analysis conducted on geographies consisting of 130,271,018 people shows no correlation between the proportion of Immigrants from Hungary within Immigrant from Indonesia communities in the United States with a correlation coefficient (R) of -0.049. On average, for every 1% (one percent) increase in Immigrants from Indonesia within a typical geography, there is a decrease of 0.004% in Immigrants from Hungary. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Indonesia corresponds to a decrease of 4.2 Immigrants from Hungary.

When considering income, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in median household income ($97,297 compared to $92,094, a difference of 5.7%), householder income under 25 years ($55,521 compared to $52,798, a difference of 5.2%), and householder income ages 45 - 64 years ($113,519 compared to $108,267, a difference of 4.9%). Conversely, both communities are more comparable in terms of median male earnings ($60,935 compared to $59,806, a difference of 1.9%), per capita income ($48,195 compared to $49,303, a difference of 2.3%), and median earnings ($51,715 compared to $50,227, a difference of 3.0%).

When considering poverty, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in child poverty under the age of 5 (14.3% compared to 16.5%, a difference of 14.9%), child poverty among boys under 16 (14.1% compared to 15.7%, a difference of 11.0%), and child poverty among girls under 16 (14.4% compared to 15.8%, a difference of 10.0%). Conversely, both communities are more comparable in terms of male poverty (10.5% compared to 10.7%, a difference of 1.8%), poverty (11.5% compared to 11.7%, a difference of 1.9%), and female poverty (12.5% compared to 12.7%, a difference of 2.1%).

When considering unemployment, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 8.9%, a difference of 15.5%), unemployment among women with children under 6 years (6.7% compared to 7.1%, a difference of 6.7%), and unemployment among women with children under 18 years (5.2% compared to 5.5%, a difference of 6.1%). Conversely, both communities are more comparable in terms of male unemployment (5.2% compared to 5.2%, a difference of 0.14%), unemployment among ages 20 to 24 years (10.1% compared to 10.0%, a difference of 0.19%), and unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.49%).

When considering labor participation, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 36.2%, a difference of 7.9%), in labor force | age 20-24 (73.4% compared to 74.9%, a difference of 2.0%), and in labor force | age > 16 (65.7% compared to 64.5%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.6% compared to 79.5%, a difference of 0.21%), in labor force | age 30-34 (84.9% compared to 85.1%, a difference of 0.21%), and in labor force | age 35-44 (84.2% compared to 84.4%, a difference of 0.23%).

When considering family structure, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in divorced or separated (10.9% compared to 11.9%, a difference of 9.5%), births to unmarried women (27.7% compared to 29.7%, a difference of 7.3%), and family households with children (28.5% compared to 26.7%, a difference of 6.8%). Conversely, both communities are more comparable in terms of currently married (47.6% compared to 47.6%, a difference of 0.070%), single mother households (5.7% compared to 5.7%, a difference of 0.73%), and married-couple households (48.5% compared to 47.3%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in 4 or more vehicles in household (7.2% compared to 5.8%, a difference of 23.8%), 3 or more vehicles in household (21.1% compared to 18.5%, a difference of 14.4%), and no vehicles in household (10.1% compared to 11.1%, a difference of 9.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 89.0%, a difference of 1.1%), 2 or more vehicles in household (57.6% compared to 54.2%, a difference of 6.2%), and no vehicles in household (10.1% compared to 11.1%, a difference of 9.7%).

When considering education level, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in no schooling completed (2.4% compared to 1.9%, a difference of 24.0%), doctorate degree (2.4% compared to 2.2%, a difference of 5.4%), and bachelor's degree (43.3% compared to 42.3%, a difference of 2.2%). Conversely, both communities are more comparable in terms of master's degree (17.6% compared to 17.5%, a difference of 0.31%), nursery school (97.7% compared to 98.1%, a difference of 0.50%), and kindergarten (97.6% compared to 98.1%, a difference of 0.50%).

When considering disability, the most significant differences between Immigrants from Indonesia and Immigrants from Hungary communities in the United States are seen in disability age under 5 (1.1% compared to 1.4%, a difference of 22.6%), hearing disability (2.8% compared to 3.1%, a difference of 12.2%), and disability age 18 to 34 (5.9% compared to 6.5%, a difference of 9.8%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (21.9% compared to 21.7%, a difference of 0.69%), self-care disability (2.4% compared to 2.4%, a difference of 0.80%), and cognitive disability (17.1% compared to 16.7%, a difference of 2.5%).