Lithuanian vs Asian Community Comparison
COMPARE
Lithuanian
Asian
Social Comparison
Social Comparison
Lithuanians
Asians
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
Asian Integration in Lithuanian Communities
The statistical analysis conducted on geographies consisting of 416,468,399 people shows a mild negative correlation between the proportion of Asians within Lithuanian communities in the United States with a correlation coefficient (R) of -0.367. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is a decrease of 0.168% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to a decrease of 167.7 Asians.
Lithuanian vs Asian Income
When considering income, the most significant differences between Lithuanian and Asian communities in the United States are seen in median household income ($93,852 compared to $101,681, a difference of 8.3%), householder income ages 25 - 44 years ($105,223 compared to $112,666, a difference of 7.1%), and wage/income gap (28.7% compared to 26.9%, a difference of 6.7%). Conversely, both communities are more comparable in terms of per capita income ($49,448 compared to $50,057, a difference of 1.2%), median family income ($115,395 compared to $119,955, a difference of 4.0%), and median male earnings ($61,228 compared to $63,827, a difference of 4.3%).
Income Metric | Lithuanian | Asian |
Per Capita Income | Exceptional $49,448 | Exceptional $50,057 |
Median Family Income | Exceptional $115,395 | Exceptional $119,955 |
Median Household Income | Exceptional $93,852 | Exceptional $101,681 |
Median Earnings | Exceptional $50,991 | Exceptional $53,690 |
Median Male Earnings | Exceptional $61,228 | Exceptional $63,827 |
Median Female Earnings | Exceptional $42,108 | Exceptional $44,586 |
Householder Age | Under 25 years | Exceptional $53,552 | Exceptional $57,003 |
Householder Age | 25 - 44 years | Exceptional $105,223 | Exceptional $112,666 |
Householder Age | 45 - 64 years | Exceptional $112,484 | Exceptional $118,426 |
Householder Age | Over 65 years | Exceptional $65,209 | Exceptional $68,822 |
Wage/Income Gap | Tragic 28.7% | Tragic 26.9% |
Lithuanian vs Asian Poverty
When considering poverty, the most significant differences between Lithuanian and Asian communities in the United States are seen in single father poverty (17.3% compared to 14.6%, a difference of 18.7%), married-couple family poverty (4.0% compared to 4.7%, a difference of 17.7%), and single male poverty (13.0% compared to 11.2%, a difference of 16.1%). Conversely, both communities are more comparable in terms of receiving food stamps (9.7% compared to 9.7%, a difference of 0.18%), child poverty under the age of 16 (13.5% compared to 13.5%, a difference of 0.48%), and child poverty among girls under 16 (13.9% compared to 13.7%, a difference of 1.4%).
Poverty Metric | Lithuanian | Asian |
Poverty | Exceptional 10.5% | Exceptional 11.0% |
Families | Exceptional 7.2% | Exceptional 7.7% |
Males | Exceptional 9.5% | Exceptional 10.0% |
Females | Exceptional 11.4% | Exceptional 11.9% |
Females 18 to 24 years | Exceptional 18.7% | Exceptional 18.2% |
Females 25 to 34 years | Exceptional 12.2% | Exceptional 11.4% |
Children Under 5 years | Exceptional 15.2% | Exceptional 14.0% |
Children Under 16 years | Exceptional 13.5% | Exceptional 13.5% |
Boys Under 16 years | Exceptional 14.0% | Exceptional 13.5% |
Girls Under 16 years | Exceptional 13.9% | Exceptional 13.7% |
Single Males | Fair 13.0% | Exceptional 11.2% |
Single Females | Exceptional 19.2% | Exceptional 18.3% |
Single Fathers | Tragic 17.3% | Exceptional 14.6% |
Single Mothers | Exceptional 27.4% | Exceptional 26.0% |
Married Couples | Exceptional 4.0% | Exceptional 4.7% |
Seniors Over 65 years | Exceptional 9.1% | Excellent 10.4% |
Seniors Over 75 years | Exceptional 10.6% | Good 12.0% |
Receiving Food Stamps | Exceptional 9.7% | Exceptional 9.7% |
Lithuanian vs Asian Unemployment
When considering unemployment, the most significant differences between Lithuanian and Asian communities in the United States are seen in unemployment among seniors over 75 years (9.9% compared to 8.3%, a difference of 19.7%), unemployment among women with children ages 6 to 17 years (9.4% compared to 8.0%, a difference of 18.5%), and unemployment among women with children under 6 years (7.8% compared to 6.7%, a difference of 16.2%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.23%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.37%), and unemployment among women with children under 18 years (5.0% compared to 5.1%, a difference of 0.56%).
Unemployment Metric | Lithuanian | Asian |
Unemployment | Exceptional 4.8% | Excellent 5.1% |
Males | Exceptional 5.0% | Exceptional 5.1% |
Females | Exceptional 4.7% | Good 5.2% |
Youth < 25 | Exceptional 11.3% | Good 11.4% |
Age | 16 to 19 years | Exceptional 16.7% | Exceptional 16.9% |
Age | 20 to 24 years | Good 10.2% | Good 10.2% |
Age | 25 to 29 years | Good 6.5% | Exceptional 6.3% |
Age | 30 to 34 years | Good 5.4% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.3% |
Age | 55 to 59 years | Excellent 4.7% | Exceptional 4.7% |
Age | 60 to 64 years | Excellent 4.8% | Average 4.9% |
Age | 65 to 74 years | Fair 5.4% | Exceptional 5.3% |
Seniors > 65 | Average 5.1% | Excellent 5.1% |
Seniors > 75 | Tragic 9.9% | Exceptional 8.3% |
Women w/ Children < 6 | Fair 7.8% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Tragic 9.4% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 5.0% | Exceptional 5.1% |
Lithuanian vs Asian Labor Participation
When considering labor participation, the most significant differences between Lithuanian and Asian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 34.1%, a difference of 18.7%), in labor force | age 20-24 (77.0% compared to 73.7%, a difference of 4.5%), and in labor force | age > 16 (64.8% compared to 66.2%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.2%, a difference of 0.11%), in labor force | age 45-54 (83.6% compared to 83.4%, a difference of 0.19%), and in labor force | age 30-34 (85.6% compared to 85.1%, a difference of 0.60%).
Labor Participation Metric | Lithuanian | Asian |
In Labor Force | Age > 16 | Poor 64.8% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 80.2% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Exceptional 40.4% | Tragic 34.1% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Tragic 73.7% |
In Labor Force | Age 25-29 | Exceptional 85.8% | Good 84.8% |
In Labor Force | Age 30-34 | Exceptional 85.6% | Exceptional 85.1% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.4% |
Lithuanian vs Asian Family Structure
When considering family structure, the most significant differences between Lithuanian and Asian communities in the United States are seen in births to unmarried women (29.6% compared to 26.8%, a difference of 10.3%), divorced or separated (11.7% compared to 10.6%, a difference of 10.3%), and family households with children (26.6% compared to 29.1%, a difference of 9.3%). Conversely, both communities are more comparable in terms of single father households (2.1% compared to 2.1%, a difference of 0.51%), married-couple households (48.9% compared to 49.5%, a difference of 1.2%), and currently married (49.0% compared to 48.4%, a difference of 1.2%).
Family Structure Metric | Lithuanian | Asian |
Family Households | Fair 64.0% | Exceptional 66.5% |
Family Households with Children | Tragic 26.6% | Exceptional 29.1% |
Married-couple Households | Exceptional 48.9% | Exceptional 49.5% |
Average Family Size | Tragic 3.10 | Exceptional 3.28 |
Single Father Households | Exceptional 2.1% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.4% | Exceptional 5.6% |
Currently Married | Exceptional 49.0% | Exceptional 48.4% |
Divorced or Separated | Exceptional 11.7% | Exceptional 10.6% |
Births to Unmarried Women | Exceptional 29.6% | Exceptional 26.8% |
Lithuanian vs Asian Vehicle Availability
When considering vehicle availability, the most significant differences between Lithuanian and Asian communities in the United States are seen in 4 or more vehicles in household (6.3% compared to 7.0%, a difference of 10.8%), no vehicles in household (8.4% compared to 9.0%, a difference of 6.4%), and 3 or more vehicles in household (20.1% compared to 20.8%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 91.1%, a difference of 0.67%), 2 or more vehicles in household (58.2% compared to 57.0%, a difference of 2.2%), and 3 or more vehicles in household (20.1% compared to 20.8%, a difference of 3.2%).
Vehicle Availability Metric | Lithuanian | Asian |
No Vehicles Available | Exceptional 8.4% | Exceptional 9.0% |
1+ Vehicles Available | Exceptional 91.7% | Exceptional 91.1% |
2+ Vehicles Available | Exceptional 58.2% | Exceptional 57.0% |
3+ Vehicles Available | Excellent 20.1% | Exceptional 20.8% |
4+ Vehicles Available | Average 6.3% | Exceptional 7.0% |
Lithuanian vs Asian Education Level
When considering education level, the most significant differences between Lithuanian and Asian communities in the United States are seen in no schooling completed (1.4% compared to 2.4%, a difference of 66.9%), doctorate degree (2.3% compared to 2.4%, a difference of 7.6%), and bachelor's degree (42.2% compared to 44.4%, a difference of 5.1%). Conversely, both communities are more comparable in terms of college, under 1 year (68.8% compared to 69.4%, a difference of 0.93%), nursery school (98.6% compared to 97.6%, a difference of 1.0%), and kindergarten (98.6% compared to 97.6%, a difference of 1.0%).
Education Level Metric | Lithuanian | Asian |
No Schooling Completed | Exceptional 1.4% | Tragic 2.4% |
Nursery School | Exceptional 98.6% | Tragic 97.6% |
Kindergarten | Exceptional 98.6% | Tragic 97.6% |
1st Grade | Exceptional 98.6% | Tragic 97.6% |
2nd Grade | Exceptional 98.5% | Tragic 97.5% |
3rd Grade | Exceptional 98.5% | Tragic 97.4% |
4th Grade | Exceptional 98.3% | Tragic 97.1% |
5th Grade | Exceptional 98.2% | Tragic 96.9% |
6th Grade | Exceptional 98.1% | Tragic 96.6% |
7th Grade | Exceptional 97.5% | Tragic 95.5% |
8th Grade | Exceptional 97.3% | Tragic 95.2% |
9th Grade | Exceptional 96.6% | Tragic 94.5% |
10th Grade | Exceptional 95.8% | Fair 93.5% |
11th Grade | Exceptional 94.8% | Average 92.5% |
12th Grade, No Diploma | Exceptional 93.6% | Good 91.4% |
High School Diploma | Exceptional 92.0% | Good 89.4% |
GED/Equivalency | Exceptional 88.9% | Exceptional 86.7% |
College, Under 1 year | Exceptional 68.8% | Exceptional 69.4% |
College, 1 year or more | Exceptional 62.9% | Exceptional 64.2% |
Associate's Degree | Exceptional 50.6% | Exceptional 52.1% |
Bachelor's Degree | Exceptional 42.2% | Exceptional 44.4% |
Master's Degree | Exceptional 17.7% | Exceptional 18.4% |
Professional Degree | Exceptional 5.4% | Exceptional 5.5% |
Doctorate Degree | Exceptional 2.3% | Exceptional 2.4% |
Lithuanian vs Asian Disability
When considering disability, the most significant differences between Lithuanian and Asian communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 43.9%), hearing disability (3.4% compared to 2.7%, a difference of 22.4%), and disability age 5 to 17 (5.8% compared to 4.8%, a difference of 20.3%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (21.4% compared to 21.4%, a difference of 0.080%), self-care disability (2.4% compared to 2.3%, a difference of 1.1%), and cognitive disability (16.3% compared to 16.7%, a difference of 3.0%).
Disability Metric | Lithuanian | Asian |
Disability | Poor 11.9% | Exceptional 10.4% |
Males | Tragic 11.6% | Exceptional 10.0% |
Females | Average 12.2% | Exceptional 10.9% |
Age | Under 5 years | Tragic 1.6% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 7.0% | Exceptional 5.8% |
Age | 35 to 64 years | Excellent 10.8% | Exceptional 9.4% |
Age | 65 to 74 years | Exceptional 21.4% | Exceptional 21.4% |
Age | Over 75 years | Exceptional 45.1% | Excellent 46.9% |
Vision | Exceptional 2.0% | Exceptional 1.9% |
Hearing | Tragic 3.4% | Exceptional 2.7% |
Cognitive | Exceptional 16.3% | Exceptional 16.7% |
Ambulatory | Excellent 6.0% | Exceptional 5.4% |
Self-Care | Exceptional 2.4% | Exceptional 2.3% |