Immigrants from Indonesia vs Immigrants from Lithuania Community Comparison

The statistical analysis conducted on geographies consisting of 86,097,803 people shows a substantial positive correlation between the proportion of Immigrants from Lithuania within Immigrant from Indonesia communities in the United States with a correlation coefficient (R) of 0.546. On average, for every 1% (one percent) increase in Immigrants from Indonesia within a typical geography, there is an increase of 0.128% in Immigrants from Lithuania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Indonesia corresponds to an increase of 127.7 Immigrants from Lithuania.

When considering income, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in wage/income gap (26.1% compared to 28.6%, a difference of 9.7%), per capita income ($48,195 compared to $51,361, a difference of 6.6%), and median male earnings ($60,935 compared to $63,346, a difference of 4.0%). Conversely, both communities are more comparable in terms of median female earnings ($43,412 compared to $43,317, a difference of 0.22%), median household income ($97,297 compared to $96,836, a difference of 0.48%), and householder income ages 25 - 44 years ($107,627 compared to $108,149, a difference of 0.48%).

When considering poverty, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in seniors poverty over the age of 75 (12.5% compared to 11.0%, a difference of 13.5%), family poverty (8.1% compared to 7.2%, a difference of 12.0%), and seniors poverty over the age of 65 (10.8% compared to 9.7%, a difference of 11.5%). Conversely, both communities are more comparable in terms of single male poverty (11.6% compared to 11.6%, a difference of 0.080%), child poverty under the age of 5 (14.3% compared to 14.1%, a difference of 1.7%), and single father poverty (14.7% compared to 15.3%, a difference of 4.2%).

When considering unemployment, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 7.5%, a difference of 12.9%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.6%, a difference of 10.9%), and unemployment among seniors over 75 years (8.1% compared to 8.7%, a difference of 7.9%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.2% compared to 5.2%, a difference of 0.10%), unemployment among women with children under 18 years (5.2% compared to 5.2%, a difference of 0.27%), and unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.53%).

When considering labor participation, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 37.2%, a difference of 11.1%), in labor force | age 20-24 (73.4% compared to 76.1%, a difference of 3.7%), and in labor force | age 25-29 (84.4% compared to 86.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.7% compared to 65.6%, a difference of 0.21%), in labor force | age 30-34 (84.9% compared to 85.6%, a difference of 0.84%), and in labor force | age 45-54 (82.9% compared to 83.9%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in single father households (2.2% compared to 1.9%, a difference of 15.8%), single mother households (5.7% compared to 5.3%, a difference of 8.6%), and family households with children (28.5% compared to 26.8%, a difference of 6.4%). Conversely, both communities are more comparable in terms of married-couple households (48.5% compared to 48.6%, a difference of 0.10%), births to unmarried women (27.7% compared to 27.7%, a difference of 0.14%), and currently married (47.6% compared to 48.8%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in 4 or more vehicles in household (7.2% compared to 5.6%, a difference of 28.1%), 3 or more vehicles in household (21.1% compared to 18.5%, a difference of 14.4%), and 2 or more vehicles in household (57.6% compared to 55.8%, a difference of 3.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 90.2%, a difference of 0.31%), no vehicles in household (10.1% compared to 9.8%, a difference of 3.0%), and 2 or more vehicles in household (57.6% compared to 55.8%, a difference of 3.1%).

When considering education level, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in no schooling completed (2.4% compared to 1.7%, a difference of 41.2%), doctorate degree (2.4% compared to 2.2%, a difference of 7.1%), and master's degree (17.6% compared to 18.5%, a difference of 5.1%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.3%, a difference of 0.71%), kindergarten (97.6% compared to 98.3%, a difference of 0.71%), and 1st grade (97.6% compared to 98.3%, a difference of 0.71%).

When considering disability, the most significant differences between Immigrants from Indonesia and Immigrants from Lithuania communities in the United States are seen in disability age under 5 (1.1% compared to 1.3%, a difference of 13.4%), cognitive disability (17.1% compared to 16.0%, a difference of 7.1%), and disability age over 75 (47.8% compared to 44.9%, a difference of 6.6%). Conversely, both communities are more comparable in terms of female disability (11.2% compared to 11.2%, a difference of 0.46%), disability age 35 to 64 (9.7% compared to 9.6%, a difference of 0.73%), and ambulatory disability (5.5% compared to 5.6%, a difference of 1.5%).