Immigrants from Lithuania vs Indonesian Community Comparison

The statistical analysis conducted on geographies consisting of 72,295,692 people shows a strong positive correlation between the proportion of Indonesians within Immigrant from Lithuania communities in the United States with a correlation coefficient (R) of 0.701. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is an increase of 0.176% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Lithuania corresponds to an increase of 175.9 Indonesians.

When considering income, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in per capita income ($51,361 compared to $37,300, a difference of 37.7%), householder income ages 25 - 44 years ($108,149 compared to $79,543, a difference of 36.0%), and householder income ages 45 - 64 years ($114,336 compared to $84,890, a difference of 34.7%). Conversely, both communities are more comparable in terms of median female earnings ($43,317 compared to $36,140, a difference of 19.9%), householder income under 25 years ($55,028 compared to $45,566, a difference of 20.8%), and householder income over 65 years ($66,087 compared to $54,176, a difference of 22.0%).

When considering poverty, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in child poverty under the age of 16 (12.9% compared to 21.0%, a difference of 62.3%), child poverty among girls under 16 (13.1% compared to 21.3%, a difference of 62.0%), and child poverty under the age of 5 (14.1% compared to 22.3%, a difference of 57.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.0% compared to 12.1%, a difference of 9.8%), single father poverty (15.3% compared to 17.4%, a difference of 13.8%), and seniors poverty over the age of 65 (9.7% compared to 11.5%, a difference of 18.4%).

When considering unemployment, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.6% compared to 7.4%, a difference of 15.6%), unemployment among ages 20 to 24 years (10.1% compared to 9.0%, a difference of 12.9%), and unemployment among ages 60 to 64 years (4.8% compared to 4.2%, a difference of 12.9%). 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 0.050%), unemployment among ages 25 to 29 years (6.2% compared to 6.1%, a difference of 0.65%), and male unemployment (5.1% compared to 5.2%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in in labor force | age 16-19 (37.2% compared to 40.7%, a difference of 9.3%), in labor force | age 45-54 (83.9% compared to 81.5%, a difference of 2.9%), and in labor force | age 35-44 (85.4% compared to 83.7%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.6% compared to 66.3%, a difference of 1.1%), in labor force | age 20-24 (76.1% compared to 77.2%, a difference of 1.4%), and in labor force | age 30-34 (85.6% compared to 84.3%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in single mother households (5.3% compared to 7.5%, a difference of 42.5%), single father households (1.9% compared to 2.6%, a difference of 36.0%), and births to unmarried women (27.7% compared to 35.0%, a difference of 26.1%). Conversely, both communities are more comparable in terms of average family size (3.15 compared to 3.28, a difference of 3.9%), family households (63.9% compared to 61.5%, a difference of 3.9%), and family households with children (26.8% compared to 28.1%, a difference of 5.0%).

When considering vehicle availability, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 6.0%, a difference of 5.6%), no vehicles in household (9.8% compared to 10.3%, a difference of 5.0%), and 2 or more vehicles in household (55.8% compared to 53.4%, a difference of 4.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 89.7%, a difference of 0.57%), 3 or more vehicles in household (18.5% compared to 18.3%, a difference of 0.98%), and 2 or more vehicles in household (55.8% compared to 53.4%, a difference of 4.6%).

When considering education level, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in no schooling completed (1.7% compared to 3.2%, a difference of 89.9%), professional degree (5.6% compared to 3.7%, a difference of 51.9%), and master's degree (18.5% compared to 12.6%, a difference of 46.3%). Conversely, both communities are more comparable in terms of 2nd grade (98.2% compared to 96.7%, a difference of 1.5%), nursery school (98.3% compared to 96.8%, a difference of 1.6%), and kindergarten (98.3% compared to 96.8%, a difference of 1.6%).

When considering disability, the most significant differences between Immigrants from Lithuania and Indonesian communities in the United States are seen in disability age 35 to 64 (9.6% compared to 13.2%, a difference of 38.0%), disability age 18 to 34 (5.8% compared to 7.2%, a difference of 24.7%), and disability age 65 to 74 (20.5% compared to 24.9%, a difference of 21.1%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 3.0%, a difference of 2.4%), disability age over 75 (44.9% compared to 48.2%, a difference of 7.3%), and self-care disability (2.3% compared to 2.5%, a difference of 9.2%).