Bangladeshi vs Lithuanian Community Comparison
COMPARE
Bangladeshi
Lithuanian
Social Comparison
Social Comparison
Bangladeshis
Lithuanians
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
Lithuanian Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 127,692,632 people shows a weak negative correlation between the proportion of Lithuanians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.253. On average, for every 1% (one percent) increase in Bangladeshis 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 Bangladeshis corresponds to a decrease of 4.2 Lithuanians.
Bangladeshi vs Lithuanian Income
When considering income, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in per capita income ($35,897 compared to $49,448, a difference of 37.8%), median male earnings ($46,744 compared to $61,228, a difference of 31.0%), and median family income ($88,358 compared to $115,395, a difference of 30.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $53,552, a difference of 12.5%), median female earnings ($35,960 compared to $42,108, a difference of 17.1%), and householder income over 65 years ($54,719 compared to $65,209, a difference of 19.2%).
Income Metric | Bangladeshi | Lithuanian |
Per Capita Income | Tragic $35,897 | Exceptional $49,448 |
Median Family Income | Tragic $88,358 | Exceptional $115,395 |
Median Household Income | Tragic $74,112 | Exceptional $93,852 |
Median Earnings | Tragic $41,263 | Exceptional $50,991 |
Median Male Earnings | Tragic $46,744 | Exceptional $61,228 |
Median Female Earnings | Tragic $35,960 | Exceptional $42,108 |
Householder Age | Under 25 years | Tragic $47,589 | Exceptional $53,552 |
Householder Age | 25 - 44 years | Tragic $81,363 | Exceptional $105,223 |
Householder Age | 45 - 64 years | Tragic $86,402 | Exceptional $112,484 |
Householder Age | Over 65 years | Tragic $54,719 | Exceptional $65,209 |
Wage/Income Gap | Exceptional 22.2% | Tragic 28.7% |
Bangladeshi vs Lithuanian Poverty
When considering poverty, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in receiving food stamps (15.0% compared to 9.7%, a difference of 55.6%), married-couple family poverty (6.0% compared to 4.0%, a difference of 51.7%), and family poverty (10.9% compared to 7.2%, a difference of 51.6%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.0%, a difference of 2.6%), seniors poverty over the age of 75 (12.0% compared to 10.6%, a difference of 13.2%), and single father poverty (15.2% compared to 17.3%, a difference of 13.8%).
Poverty Metric | Bangladeshi | Lithuanian |
Poverty | Tragic 14.8% | Exceptional 10.5% |
Families | Tragic 10.9% | Exceptional 7.2% |
Males | Tragic 13.6% | Exceptional 9.5% |
Females | Tragic 16.0% | Exceptional 11.4% |
Females 18 to 24 years | Tragic 22.5% | Exceptional 18.7% |
Females 25 to 34 years | Tragic 15.9% | Exceptional 12.2% |
Children Under 5 years | Tragic 20.6% | Exceptional 15.2% |
Children Under 16 years | Tragic 19.9% | Exceptional 13.5% |
Boys Under 16 years | Tragic 20.0% | Exceptional 14.0% |
Girls Under 16 years | Tragic 20.0% | Exceptional 13.9% |
Single Males | Tragic 13.3% | Fair 13.0% |
Single Females | Tragic 24.2% | Exceptional 19.2% |
Single Fathers | Exceptional 15.2% | Tragic 17.3% |
Single Mothers | Tragic 31.7% | Exceptional 27.4% |
Married Couples | Tragic 6.0% | Exceptional 4.0% |
Seniors Over 65 years | Fair 11.2% | Exceptional 9.1% |
Seniors Over 75 years | Good 12.0% | Exceptional 10.6% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 9.7% |
Bangladeshi vs Lithuanian Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.4%, a difference of 28.3%), male unemployment (5.7% compared to 5.0%, a difference of 14.1%), and unemployment (5.4% compared to 4.8%, a difference of 13.1%). 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 0.29%), unemployment among ages 30 to 34 years (5.3% compared to 5.4%, a difference of 0.39%), and unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.86%).
Unemployment Metric | Bangladeshi | Lithuanian |
Unemployment | Poor 5.4% | Exceptional 4.8% |
Males | Tragic 5.7% | Exceptional 5.0% |
Females | Good 5.2% | Exceptional 4.7% |
Youth < 25 | Average 11.6% | Exceptional 11.3% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 16.7% |
Age | 20 to 24 years | Exceptional 10.0% | Good 10.2% |
Age | 25 to 29 years | Average 6.6% | Good 6.5% |
Age | 30 to 34 years | Good 5.3% | Good 5.4% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.4% |
Age | 45 to 54 years | Average 4.5% | Exceptional 4.3% |
Age | 55 to 59 years | Exceptional 4.7% | Excellent 4.7% |
Age | 60 to 64 years | Exceptional 4.6% | Excellent 4.8% |
Age | 65 to 74 years | Good 5.3% | Fair 5.4% |
Seniors > 65 | Fair 5.2% | Average 5.1% |
Seniors > 75 | Tragic 9.6% | Tragic 9.9% |
Women w/ Children < 6 | Good 7.5% | Fair 7.8% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Tragic 9.4% |
Women w/ Children < 18 | Good 5.3% | Exceptional 5.0% |
Bangladeshi vs Lithuanian Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.4%, a difference of 5.0%), in labor force | age 45-54 (81.3% compared to 83.6%, a difference of 2.8%), and in labor force | age > 16 (65.9% compared to 64.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.8%, a difference of 0.86%), in labor force | age 20-64 (79.3% compared to 80.2%, a difference of 1.2%), and in labor force | age 35-44 (84.1% compared to 85.2%, a difference of 1.3%).
Labor Participation Metric | Bangladeshi | Lithuanian |
In Labor Force | Age > 16 | Exceptional 65.9% | Poor 64.8% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 40.4% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 77.0% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Exceptional 85.8% |
In Labor Force | Age 30-34 | Tragic 84.3% | Exceptional 85.6% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 83.6% |
Bangladeshi vs Lithuanian Family Structure
When considering family structure, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in single mother households (8.1% compared to 5.4%, a difference of 49.8%), single father households (3.1% compared to 2.1%, a difference of 45.5%), and births to unmarried women (34.4% compared to 29.6%, a difference of 16.4%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.0%, a difference of 0.32%), divorced or separated (12.3% compared to 11.7%, a difference of 4.7%), and average family size (3.37 compared to 3.10, a difference of 8.5%).
Family Structure Metric | Bangladeshi | Lithuanian |
Family Households | Average 64.3% | Fair 64.0% |
Family Households with Children | Exceptional 30.1% | Tragic 26.6% |
Married-couple Households | Tragic 43.5% | Exceptional 48.9% |
Average Family Size | Exceptional 3.37 | Tragic 3.10 |
Single Father Households | Tragic 3.1% | Exceptional 2.1% |
Single Mother Households | Tragic 8.1% | Exceptional 5.4% |
Currently Married | Tragic 43.7% | Exceptional 49.0% |
Divorced or Separated | Poor 12.3% | Exceptional 11.7% |
Births to Unmarried Women | Tragic 34.4% | Exceptional 29.6% |
Bangladeshi vs Lithuanian Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.3%, a difference of 19.4%), 3 or more vehicles in household (21.9% compared to 20.1%, a difference of 8.7%), and no vehicles in household (8.7% compared to 8.4%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (58.4% compared to 58.2%, a difference of 0.33%), 1 or more vehicles in household (91.4% compared to 91.7%, a difference of 0.35%), and no vehicles in household (8.7% compared to 8.4%, a difference of 2.7%).
Vehicle Availability Metric | Bangladeshi | Lithuanian |
No Vehicles Available | Exceptional 8.7% | Exceptional 8.4% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 91.7% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 58.2% |
3+ Vehicles Available | Exceptional 21.9% | Excellent 20.1% |
4+ Vehicles Available | Exceptional 7.6% | Average 6.3% |
Bangladeshi vs Lithuanian Education Level
When considering education level, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in no schooling completed (3.5% compared to 1.4%, a difference of 146.5%), doctorate degree (1.2% compared to 2.3%, a difference of 86.5%), and professional degree (3.1% compared to 5.4%, a difference of 74.2%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.6%, a difference of 2.1%), kindergarten (96.6% compared to 98.6%, a difference of 2.1%), and 1st grade (96.5% compared to 98.6%, a difference of 2.1%).
Education Level Metric | Bangladeshi | Lithuanian |
No Schooling Completed | Tragic 3.5% | Exceptional 1.4% |
Nursery School | Tragic 96.6% | Exceptional 98.6% |
Kindergarten | Tragic 96.6% | Exceptional 98.6% |
1st Grade | Tragic 96.5% | Exceptional 98.6% |
2nd Grade | Tragic 96.5% | Exceptional 98.5% |
3rd Grade | Tragic 96.3% | Exceptional 98.5% |
4th Grade | Tragic 96.1% | Exceptional 98.3% |
5th Grade | Tragic 95.9% | Exceptional 98.2% |
6th Grade | Tragic 95.7% | Exceptional 98.1% |
7th Grade | Tragic 94.5% | Exceptional 97.5% |
8th Grade | Tragic 94.3% | Exceptional 97.3% |
9th Grade | Tragic 93.4% | Exceptional 96.6% |
10th Grade | Tragic 92.2% | Exceptional 95.8% |
11th Grade | Tragic 90.9% | Exceptional 94.8% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 93.6% |
High School Diploma | Tragic 86.9% | Exceptional 92.0% |
GED/Equivalency | Tragic 83.1% | Exceptional 88.9% |
College, Under 1 year | Tragic 61.4% | Exceptional 68.8% |
College, 1 year or more | Tragic 54.5% | Exceptional 62.9% |
Associate's Degree | Tragic 40.0% | Exceptional 50.6% |
Bachelor's Degree | Tragic 30.2% | Exceptional 42.2% |
Master's Degree | Tragic 10.5% | Exceptional 17.7% |
Professional Degree | Tragic 3.1% | Exceptional 5.4% |
Doctorate Degree | Tragic 1.2% | Exceptional 2.3% |
Bangladeshi vs Lithuanian Disability
When considering disability, the most significant differences between Bangladeshi and Lithuanian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.8%, a difference of 26.1%), disability age 65 to 74 (26.8% compared to 21.4%, a difference of 25.5%), and disability age under 5 (1.3% compared to 1.6%, a difference of 21.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.44%), male disability (12.0% compared to 11.6%, a difference of 3.5%), and ambulatory disability (6.3% compared to 6.0%, a difference of 4.5%).
Disability Metric | Bangladeshi | Lithuanian |
Disability | Tragic 12.6% | Poor 11.9% |
Males | Tragic 12.0% | Tragic 11.6% |
Females | Tragic 13.1% | Average 12.2% |
Age | Under 5 years | Poor 1.3% | Tragic 1.6% |
Age | 5 to 17 years | Tragic 5.8% | Tragic 5.8% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.0% |
Age | 35 to 64 years | Tragic 13.6% | Excellent 10.8% |
Age | 65 to 74 years | Tragic 26.8% | Exceptional 21.4% |
Age | Over 75 years | Tragic 49.4% | Exceptional 45.1% |
Vision | Tragic 2.3% | Exceptional 2.0% |
Hearing | Tragic 3.2% | Tragic 3.4% |
Cognitive | Tragic 18.6% | Exceptional 16.3% |
Ambulatory | Poor 6.3% | Excellent 6.0% |
Self-Care | Tragic 2.8% | Exceptional 2.4% |