Subsaharan African vs Lithuanian Community Comparison
COMPARE
Subsaharan African
Lithuanian
Social Comparison
Social Comparison
Sub-Saharan Africans
Lithuanians
977
SOCIAL INDEX
7.3/ 100
SOCIAL RATING
330th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
Lithuanian Integration in Subsaharan African Communities
The statistical analysis conducted on geographies consisting of 395,040,144 people shows a slight positive correlation between the proportion of Lithuanians within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.073. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.001% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 1.0 Lithuanians.
Subsaharan African vs Lithuanian Income
When considering income, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in wage/income gap (22.8% compared to 28.7%, a difference of 26.0%), householder income ages 25 - 44 years ($84,235 compared to $105,223, a difference of 24.9%), and householder income ages 45 - 64 years ($90,691 compared to $112,484, a difference of 24.0%). Conversely, both communities are more comparable in terms of median female earnings ($38,391 compared to $42,108, a difference of 9.7%), householder income under 25 years ($48,691 compared to $53,552, a difference of 10.0%), and householder income over 65 years ($56,615 compared to $65,209, a difference of 15.2%).
Income Metric | Subsaharan African | Lithuanian |
Per Capita Income | Tragic $40,152 | Exceptional $49,448 |
Median Family Income | Tragic $93,748 | Exceptional $115,395 |
Median Household Income | Tragic $77,631 | Exceptional $93,852 |
Median Earnings | Tragic $44,118 | Exceptional $50,991 |
Median Male Earnings | Tragic $50,408 | Exceptional $61,228 |
Median Female Earnings | Tragic $38,391 | Exceptional $42,108 |
Householder Age | Under 25 years | Tragic $48,691 | Exceptional $53,552 |
Householder Age | 25 - 44 years | Tragic $84,235 | Exceptional $105,223 |
Householder Age | 45 - 64 years | Tragic $90,691 | Exceptional $112,484 |
Householder Age | Over 65 years | Tragic $56,615 | Exceptional $65,209 |
Wage/Income Gap | Exceptional 22.8% | Tragic 28.7% |
Subsaharan African vs Lithuanian Poverty
When considering poverty, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in family poverty (10.9% compared to 7.2%, a difference of 51.1%), child poverty under the age of 16 (19.9% compared to 13.5%, a difference of 47.1%), and receiving food stamps (14.1% compared to 9.7%, a difference of 45.8%). Conversely, both communities are more comparable in terms of single father poverty (16.9% compared to 17.3%, a difference of 2.1%), single male poverty (13.7% compared to 13.0%, a difference of 5.3%), and single mother poverty (31.4% compared to 27.4%, a difference of 14.5%).
Poverty Metric | Subsaharan African | Lithuanian |
Poverty | Tragic 14.5% | Exceptional 10.5% |
Families | Tragic 10.9% | Exceptional 7.2% |
Males | Tragic 13.3% | Exceptional 9.5% |
Females | Tragic 15.8% | Exceptional 11.4% |
Females 18 to 24 years | Tragic 22.0% | Exceptional 18.7% |
Females 25 to 34 years | Tragic 15.6% | Exceptional 12.2% |
Children Under 5 years | Tragic 20.8% | 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 20.1% | Exceptional 13.9% |
Single Males | Tragic 13.7% | Fair 13.0% |
Single Females | Tragic 23.2% | Exceptional 19.2% |
Single Fathers | Tragic 16.9% | Tragic 17.3% |
Single Mothers | Tragic 31.4% | Exceptional 27.4% |
Married Couples | Tragic 5.7% | Exceptional 4.0% |
Seniors Over 65 years | Tragic 12.1% | Exceptional 9.1% |
Seniors Over 75 years | Tragic 13.2% | Exceptional 10.6% |
Receiving Food Stamps | Tragic 14.1% | Exceptional 9.7% |
Subsaharan African vs Lithuanian Unemployment
When considering unemployment, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in unemployment among women with children under 18 years (6.2% compared to 5.0%, a difference of 22.2%), unemployment (5.8% compared to 4.8%, a difference of 20.7%), and female unemployment (5.7% compared to 4.7%, a difference of 20.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 0.87%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.5%), and unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 2.3%).
Unemployment Metric | Subsaharan African | Lithuanian |
Unemployment | Tragic 5.8% | Exceptional 4.8% |
Males | Tragic 6.0% | Exceptional 5.0% |
Females | Tragic 5.7% | Exceptional 4.7% |
Youth < 25 | Tragic 12.6% | Exceptional 11.3% |
Age | 16 to 19 years | Tragic 18.7% | Exceptional 16.7% |
Age | 20 to 24 years | Tragic 11.1% | Good 10.2% |
Age | 25 to 29 years | Tragic 7.2% | Good 6.5% |
Age | 30 to 34 years | Tragic 6.0% | Good 5.4% |
Age | 35 to 44 years | Tragic 5.3% | Exceptional 4.4% |
Age | 45 to 54 years | Tragic 4.9% | Exceptional 4.3% |
Age | 55 to 59 years | Tragic 5.0% | Excellent 4.7% |
Age | 60 to 64 years | Fair 4.9% | Excellent 4.8% |
Age | 65 to 74 years | Poor 5.4% | Fair 5.4% |
Seniors > 65 | Poor 5.2% | Average 5.1% |
Seniors > 75 | Tragic 9.2% | Tragic 9.9% |
Women w/ Children < 6 | Tragic 8.4% | Fair 7.8% |
Women w/ Children 6 to 17 | Tragic 10.0% | Tragic 9.4% |
Women w/ Children < 18 | Tragic 6.2% | Exceptional 5.0% |
Subsaharan African vs Lithuanian Labor Participation
When considering labor participation, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in in labor force | age 16-19 (38.4% compared to 40.4%, a difference of 5.2%), in labor force | age > 16 (66.2% compared to 64.8%, a difference of 2.1%), and in labor force | age 45-54 (82.0% compared to 83.6%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.3% compared to 80.2%, a difference of 1.2%), in labor force | age 30-34 (84.5% compared to 85.6%, a difference of 1.3%), and in labor force | age 35-44 (84.1% compared to 85.2%, a difference of 1.4%).
Labor Participation Metric | Subsaharan African | Lithuanian |
In Labor Force | Age > 16 | Exceptional 66.2% | Poor 64.8% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Exceptional 38.4% | Exceptional 40.4% |
In Labor Force | Age 20-24 | Exceptional 75.7% | Exceptional 77.0% |
In Labor Force | Age 25-29 | Poor 84.3% | Exceptional 85.8% |
In Labor Force | Age 30-34 | Poor 84.5% | Exceptional 85.6% |
In Labor Force | Age 35-44 | Tragic 84.1% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Tragic 82.0% | Exceptional 83.6% |
Subsaharan African vs Lithuanian Family Structure
When considering family structure, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in single mother households (7.8% compared to 5.4%, a difference of 43.6%), births to unmarried women (36.7% compared to 29.6%, a difference of 24.0%), and married-couple households (41.6% compared to 48.9%, a difference of 17.5%). Conversely, both communities are more comparable in terms of family households (62.1% compared to 64.0%, a difference of 3.2%), family households with children (27.6% compared to 26.6%, a difference of 3.7%), and average family size (3.25 compared to 3.10, a difference of 4.7%).
Family Structure Metric | Subsaharan African | Lithuanian |
Family Households | Tragic 62.1% | Fair 64.0% |
Family Households with Children | Good 27.6% | Tragic 26.6% |
Married-couple Households | Tragic 41.6% | Exceptional 48.9% |
Average Family Size | Excellent 3.25 | Tragic 3.10 |
Single Father Households | Tragic 2.4% | Exceptional 2.1% |
Single Mother Households | Tragic 7.8% | Exceptional 5.4% |
Currently Married | Tragic 42.6% | Exceptional 49.0% |
Divorced or Separated | Tragic 12.7% | Exceptional 11.7% |
Births to Unmarried Women | Tragic 36.7% | Exceptional 29.6% |
Subsaharan African vs Lithuanian Vehicle Availability
When considering vehicle availability, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in no vehicles in household (12.2% compared to 8.4%, a difference of 44.7%), 3 or more vehicles in household (17.9% compared to 20.1%, a difference of 12.7%), and 2 or more vehicles in household (51.9% compared to 58.2%, a difference of 12.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.9% compared to 91.7%, a difference of 4.3%), 4 or more vehicles in household (5.7% compared to 6.3%, a difference of 10.8%), and 2 or more vehicles in household (51.9% compared to 58.2%, a difference of 12.2%).
Vehicle Availability Metric | Subsaharan African | Lithuanian |
No Vehicles Available | Tragic 12.2% | Exceptional 8.4% |
1+ Vehicles Available | Tragic 87.9% | Exceptional 91.7% |
2+ Vehicles Available | Tragic 51.9% | Exceptional 58.2% |
3+ Vehicles Available | Tragic 17.9% | Excellent 20.1% |
4+ Vehicles Available | Tragic 5.7% | Average 6.3% |
Subsaharan African vs Lithuanian Education Level
When considering education level, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in no schooling completed (2.3% compared to 1.4%, a difference of 60.2%), professional degree (4.1% compared to 5.4%, a difference of 31.3%), and doctorate degree (1.8% compared to 2.3%, a difference of 27.9%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.6%, a difference of 0.92%), kindergarten (97.7% compared to 98.6%, a difference of 0.93%), and 1st grade (97.7% compared to 98.6%, a difference of 0.93%).
Education Level Metric | Subsaharan African | Lithuanian |
No Schooling Completed | Tragic 2.3% | Exceptional 1.4% |
Nursery School | Tragic 97.7% | Exceptional 98.6% |
Kindergarten | Tragic 97.7% | Exceptional 98.6% |
1st Grade | Tragic 97.7% | Exceptional 98.6% |
2nd Grade | Tragic 97.6% | Exceptional 98.5% |
3rd Grade | Tragic 97.5% | Exceptional 98.5% |
4th Grade | Tragic 97.2% | Exceptional 98.3% |
5th Grade | Tragic 97.0% | Exceptional 98.2% |
6th Grade | Tragic 96.7% | Exceptional 98.1% |
7th Grade | Tragic 95.7% | Exceptional 97.5% |
8th Grade | Tragic 95.3% | Exceptional 97.3% |
9th Grade | Tragic 94.4% | Exceptional 96.6% |
10th Grade | Tragic 93.1% | Exceptional 95.8% |
11th Grade | Tragic 91.7% | Exceptional 94.8% |
12th Grade, No Diploma | Tragic 90.1% | Exceptional 93.6% |
High School Diploma | Tragic 87.9% | Exceptional 92.0% |
GED/Equivalency | Tragic 84.2% | Exceptional 88.9% |
College, Under 1 year | Tragic 63.2% | Exceptional 68.8% |
College, 1 year or more | Tragic 57.3% | Exceptional 62.9% |
Associate's Degree | Tragic 43.9% | Exceptional 50.6% |
Bachelor's Degree | Tragic 35.8% | Exceptional 42.2% |
Master's Degree | Poor 14.2% | Exceptional 17.7% |
Professional Degree | Poor 4.1% | Exceptional 5.4% |
Doctorate Degree | Fair 1.8% | Exceptional 2.3% |
Subsaharan African vs Lithuanian Disability
When considering disability, the most significant differences between Subsaharan African and Lithuanian communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 19.4%), disability age 65 to 74 (25.1% compared to 21.4%, a difference of 17.2%), and disability age 35 to 64 (12.6% compared to 10.8%, a difference of 17.0%). Conversely, both communities are more comparable in terms of male disability (11.8% compared to 11.6%, a difference of 1.2%), disability age 18 to 34 (7.1% compared to 7.0%, a difference of 1.5%), and disability (12.3% compared to 11.9%, a difference of 3.1%).
Disability Metric | Subsaharan African | Lithuanian |
Disability | Tragic 12.3% | Poor 11.9% |
Males | Tragic 11.8% | Tragic 11.6% |
Females | Tragic 12.7% | Average 12.2% |
Age | Under 5 years | Tragic 1.3% | Tragic 1.6% |
Age | 5 to 17 years | Tragic 6.2% | Tragic 5.8% |
Age | 18 to 34 years | Tragic 7.1% | Tragic 7.0% |
Age | 35 to 64 years | Tragic 12.6% | Excellent 10.8% |
Age | 65 to 74 years | Tragic 25.1% | Exceptional 21.4% |
Age | Over 75 years | Tragic 48.2% | Exceptional 45.1% |
Vision | Tragic 2.3% | Exceptional 2.0% |
Hearing | Excellent 2.9% | Tragic 3.4% |
Cognitive | Tragic 18.5% | Exceptional 16.3% |
Ambulatory | Tragic 6.4% | Excellent 6.0% |
Self-Care | Tragic 2.6% | Exceptional 2.4% |