Indian (Asian) vs Immigrants from Lithuania Community Comparison

The statistical analysis conducted on geographies consisting of 116,059,652 people shows a mild negative correlation between the proportion of Immigrants from Lithuania within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.347. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Immigrants from Lithuania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.9 Immigrants from Lithuania.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $108,149, a difference of 10.5%), median household income ($105,262 compared to $96,836, a difference of 8.7%), and wage/income gap (26.4% compared to 28.6%, a difference of 8.2%). Conversely, both communities are more comparable in terms of median male earnings ($66,078 compared to $63,346, a difference of 4.3%), per capita income ($53,874 compared to $51,361, a difference of 4.9%), and householder income under 25 years ($58,239 compared to $55,028, a difference of 5.8%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in seniors poverty over the age of 75 (12.7% compared to 11.0%, a difference of 16.0%), seniors poverty over the age of 65 (11.1% compared to 9.7%, a difference of 14.6%), and female poverty among 18-24 year olds (19.6% compared to 17.4%, a difference of 12.6%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (11.2% compared to 11.1%, a difference of 0.67%), single female poverty (17.9% compared to 17.8%, a difference of 0.91%), and child poverty among girls under 16 (13.3% compared to 13.1%, a difference of 1.5%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 19.8%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.6%, a difference of 10.8%), and unemployment among seniors over 75 years (8.0% compared to 8.7%, a difference of 9.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.38%), unemployment among ages 30 to 34 years (5.1% compared to 5.2%, a difference of 1.0%), and unemployment among ages 20 to 24 years (10.3% compared to 10.1%, a difference of 1.1%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 37.2%, a difference of 16.8%), in labor force | age 20-24 (71.9% compared to 76.1%, a difference of 5.9%), and in labor force | age 25-29 (84.7% compared to 86.1%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.6%, a difference of 0.15%), in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.32%), and in labor force | age 35-44 (84.8% compared to 85.4%, a difference of 0.65%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in divorced or separated (10.2% compared to 11.3%, a difference of 10.7%), births to unmarried women (25.3% compared to 27.7%, a difference of 9.8%), and family households with children (27.6% compared to 26.8%, a difference of 3.0%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.6%, a difference of 0.24%), single father households (1.9% compared to 1.9%, a difference of 1.1%), and currently married (48.0% compared to 48.8%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in no vehicles in household (14.1% compared to 9.8%, a difference of 43.2%), 4 or more vehicles in household (6.4% compared to 5.6%, a difference of 14.1%), and 2 or more vehicles in household (53.1% compared to 55.8%, a difference of 5.1%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 18.5%, a difference of 3.6%), 1 or more vehicles in household (86.0% compared to 90.2%, a difference of 4.9%), and 2 or more vehicles in household (53.1% compared to 55.8%, a difference of 5.1%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in no schooling completed (2.5% compared to 1.7%, a difference of 46.4%), doctorate degree (2.9% compared to 2.2%, a difference of 31.7%), and professional degree (6.5% compared to 5.6%, a difference of 17.0%). Conversely, both communities are more comparable in terms of college, under 1 year (70.8% compared to 70.3%, a difference of 0.71%), nursery school (97.6% compared to 98.3%, a difference of 0.73%), and kindergarten (97.6% compared to 98.3%, a difference of 0.73%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Lithuania communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 26.5%), disability age 5 to 17 (4.6% compared to 5.1%, a difference of 11.9%), and disability age 35 to 64 (8.9% compared to 9.6%, a difference of 8.3%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (20.5% compared to 20.5%, a difference of 0.080%), self-care disability (2.3% compared to 2.3%, a difference of 3.2%), and disability age over 75 (46.5% compared to 44.9%, a difference of 3.7%).