Indian (Asian) vs Lithuanian Community Comparison

The statistical analysis conducted on geographies consisting of 397,840,962 people shows a substantial negative correlation between the proportion of Lithuanians within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.545. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.004% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 4.3 Lithuanians.

When considering income, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $105,223, a difference of 13.6%), median household income ($105,262 compared to $93,852, a difference of 12.2%), and median female earnings ($46,481 compared to $42,108, a difference of 10.4%). Conversely, both communities are more comparable in terms of householder income over 65 years ($70,238 compared to $65,209, a difference of 7.7%), median male earnings ($66,078 compared to $61,228, a difference of 7.9%), and median family income ($125,312 compared to $115,395, a difference of 8.6%).

When considering poverty, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in seniors poverty over the age of 65 (11.1% compared to 9.1%, a difference of 22.4%), married-couple family poverty (4.8% compared to 4.0%, a difference of 21.8%), and seniors poverty over the age of 75 (12.7% compared to 10.6%, a difference of 20.4%). Conversely, both communities are more comparable in terms of receiving food stamps (9.6% compared to 9.7%, a difference of 0.38%), child poverty under the age of 16 (13.1% compared to 13.5%, a difference of 2.9%), and child poverty among girls under 16 (13.3% compared to 13.9%, a difference of 4.0%).

When considering unemployment, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 9.9%, a difference of 24.1%), unemployment among women with children under 6 years (6.3% compared to 7.8%, a difference of 23.1%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.4%, a difference of 22.1%). 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 0.23%), unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.31%), and unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.38%).

When considering labor participation, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 40.4%, a difference of 26.9%), in labor force | age 20-24 (71.9% compared to 77.0%, a difference of 7.1%), and in labor force | age 25-29 (84.7% compared to 85.8%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.26%), in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.35%), and in labor force | age 20-64 (79.9% compared to 80.2%, a difference of 0.47%).

When considering family structure, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in births to unmarried women (25.3% compared to 29.6%, a difference of 17.0%), divorced or separated (10.2% compared to 11.7%, a difference of 15.0%), and single father households (1.9% compared to 2.1%, a difference of 10.7%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.9%, a difference of 0.34%), family households (65.1% compared to 64.0%, a difference of 1.7%), and currently married (48.0% compared to 49.0%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in no vehicles in household (14.1% compared to 8.4%, a difference of 66.7%), 2 or more vehicles in household (53.1% compared to 58.2%, a difference of 9.7%), and 1 or more vehicles in household (86.0% compared to 91.7%, a difference of 6.6%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.3%, a difference of 1.7%), 3 or more vehicles in household (19.1% compared to 20.1%, a difference of 5.3%), and 1 or more vehicles in household (86.0% compared to 91.7%, a difference of 6.6%).

When considering education level, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in no schooling completed (2.5% compared to 1.4%, a difference of 72.2%), doctorate degree (2.9% compared to 2.3%, a difference of 28.9%), and professional degree (6.5% compared to 5.4%, a difference of 21.2%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 1.0%), kindergarten (97.6% compared to 98.6%, a difference of 1.0%), and 1st grade (97.5% compared to 98.6%, a difference of 1.1%).

When considering disability, the most significant differences between Indian (Asian) and Lithuanian communities in the United States are seen in disability age under 5 (1.0% compared to 1.6%, a difference of 55.8%), disability age 5 to 17 (4.6% compared to 5.8%, a difference of 26.6%), and disability age 18 to 34 (5.5% compared to 7.0%, a difference of 25.4%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.4%, a difference of 0.53%), disability age over 75 (46.5% compared to 45.1%, a difference of 3.2%), and cognitive disability (16.8% compared to 16.3%, a difference of 3.6%).