Bangladeshi vs Zimbabwean Community Comparison
COMPARE
Bangladeshi
Zimbabwean
Social Comparison
Social Comparison
Bangladeshis
Zimbabweans
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
Zimbabwean Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 43,719,688 people shows no correlation between the proportion of Zimbabweans within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.037. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.000% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 0.4 Zimbabweans.
Bangladeshi vs Zimbabwean Income
When considering income, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in per capita income ($35,897 compared to $45,804, a difference of 27.6%), median family income ($88,358 compared to $110,011, a difference of 24.5%), and householder income ages 45 - 64 years ($86,402 compared to $106,849, a difference of 23.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $51,259, a difference of 7.7%), median female earnings ($35,960 compared to $40,798, a difference of 13.5%), and median earnings ($41,263 compared to $48,229, a difference of 16.9%).
Income Metric | Bangladeshi | Zimbabwean |
Per Capita Income | Tragic $35,897 | Exceptional $45,804 |
Median Family Income | Tragic $88,358 | Exceptional $110,011 |
Median Household Income | Tragic $74,112 | Exceptional $90,618 |
Median Earnings | Tragic $41,263 | Exceptional $48,229 |
Median Male Earnings | Tragic $46,744 | Excellent $56,302 |
Median Female Earnings | Tragic $35,960 | Exceptional $40,798 |
Householder Age | Under 25 years | Tragic $47,589 | Tragic $51,259 |
Householder Age | 25 - 44 years | Tragic $81,363 | Exceptional $98,586 |
Householder Age | 45 - 64 years | Tragic $86,402 | Exceptional $106,849 |
Householder Age | Over 65 years | Tragic $54,719 | Exceptional $65,854 |
Wage/Income Gap | Exceptional 22.2% | Fair 26.3% |
Bangladeshi vs Zimbabwean Poverty
When considering poverty, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in receiving food stamps (15.0% compared to 9.5%, a difference of 58.7%), married-couple family poverty (6.0% compared to 4.1%, a difference of 47.3%), and child poverty under the age of 16 (19.9% compared to 14.2%, a difference of 40.5%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.1%, a difference of 1.9%), single father poverty (15.2% compared to 15.6%, a difference of 2.6%), and seniors poverty over the age of 75 (12.0% compared to 11.2%, a difference of 7.3%).
Poverty Metric | Bangladeshi | Zimbabwean |
Poverty | Tragic 14.8% | Exceptional 11.3% |
Families | Tragic 10.9% | Exceptional 7.8% |
Males | Tragic 13.6% | Exceptional 10.2% |
Females | Tragic 16.0% | Exceptional 12.3% |
Females 18 to 24 years | Tragic 22.5% | Fair 20.4% |
Females 25 to 34 years | Tragic 15.9% | Exceptional 11.7% |
Children Under 5 years | Tragic 20.6% | Exceptional 15.2% |
Children Under 16 years | Tragic 19.9% | Exceptional 14.2% |
Boys Under 16 years | Tragic 20.0% | Exceptional 14.3% |
Girls Under 16 years | Tragic 20.0% | Exceptional 14.4% |
Single Males | Tragic 13.3% | Poor 13.1% |
Single Females | Tragic 24.2% | Exceptional 19.5% |
Single Fathers | Exceptional 15.2% | Exceptional 15.6% |
Single Mothers | Tragic 31.7% | Exceptional 27.9% |
Married Couples | Tragic 6.0% | Exceptional 4.1% |
Seniors Over 65 years | Fair 11.2% | Exceptional 9.6% |
Seniors Over 75 years | Good 12.0% | Exceptional 11.2% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 9.5% |
Bangladeshi vs Zimbabwean Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in male unemployment (5.7% compared to 4.8%, a difference of 18.7%), unemployment among women with children ages 6 to 17 years (7.4% compared to 8.6%, a difference of 17.5%), and unemployment (5.4% compared to 4.8%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.3%, a difference of 2.2%), unemployment among ages 60 to 64 years (4.6% compared to 4.5%, a difference of 2.2%), and unemployment among women with children under 18 years (5.3% compared to 5.1%, a difference of 4.0%).
Unemployment Metric | Bangladeshi | Zimbabwean |
Unemployment | Poor 5.4% | Exceptional 4.8% |
Males | Tragic 5.7% | Exceptional 4.8% |
Females | Good 5.2% | Exceptional 4.8% |
Youth < 25 | Average 11.6% | Exceptional 10.2% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 15.4% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 9.2% |
Age | 25 to 29 years | Average 6.6% | Exceptional 6.4% |
Age | 30 to 34 years | Good 5.3% | Exceptional 4.8% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.3% |
Age | 45 to 54 years | Average 4.5% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.2% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.5% |
Age | 65 to 74 years | Good 5.3% | Tragic 5.9% |
Seniors > 65 | Fair 5.2% | Tragic 5.6% |
Seniors > 75 | Tragic 9.6% | Average 8.7% |
Women w/ Children < 6 | Good 7.5% | Exceptional 7.3% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Exceptional 8.6% |
Women w/ Children < 18 | Good 5.3% | Exceptional 5.1% |
Bangladeshi vs Zimbabwean Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 38.7%, a difference of 9.7%), in labor force | age 45-54 (81.3% compared to 84.0%, a difference of 3.3%), and in labor force | age 20-24 (78.1% compared to 75.6%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.5%, a difference of 0.67%), in labor force | age 30-34 (84.3% compared to 85.6%, a difference of 1.5%), and in labor force | age > 16 (65.9% compared to 67.3%, a difference of 2.1%).
Labor Participation Metric | Bangladeshi | Zimbabwean |
In Labor Force | Age > 16 | Exceptional 65.9% | Exceptional 67.3% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 81.0% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 38.7% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Excellent 75.6% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Fair 84.5% |
In Labor Force | Age 30-34 | Tragic 84.3% | Exceptional 85.6% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 86.1% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 84.0% |
Bangladeshi vs Zimbabwean Family Structure
When considering family structure, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in single father households (3.1% compared to 2.2%, a difference of 38.9%), single mother households (8.1% compared to 6.1%, a difference of 34.2%), and births to unmarried women (34.4% compared to 28.7%, a difference of 19.9%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.1%, a difference of 0.30%), average family size (3.37 compared to 3.20, a difference of 5.2%), and divorced or separated (12.3% compared to 11.6%, a difference of 6.1%).
Family Structure Metric | Bangladeshi | Zimbabwean |
Family Households | Average 64.3% | Fair 64.1% |
Family Households with Children | Exceptional 30.1% | Exceptional 27.9% |
Married-couple Households | Tragic 43.5% | Excellent 47.4% |
Average Family Size | Exceptional 3.37 | Poor 3.20 |
Single Father Households | Tragic 3.1% | Exceptional 2.2% |
Single Mother Households | Tragic 8.1% | Excellent 6.1% |
Currently Married | Tragic 43.7% | Good 47.0% |
Divorced or Separated | Poor 12.3% | Exceptional 11.6% |
Births to Unmarried Women | Tragic 34.4% | Exceptional 28.7% |
Bangladeshi vs Zimbabwean Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 17.3%), 3 or more vehicles in household (21.9% compared to 20.3%, a difference of 7.9%), and no vehicles in household (8.7% compared to 9.0%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.0%, a difference of 0.41%), 2 or more vehicles in household (58.4% compared to 57.2%, a difference of 2.1%), and no vehicles in household (8.7% compared to 9.0%, a difference of 4.3%).
Vehicle Availability Metric | Bangladeshi | Zimbabwean |
No Vehicles Available | Exceptional 8.7% | Exceptional 9.0% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 91.0% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 57.2% |
3+ Vehicles Available | Exceptional 21.9% | Excellent 20.3% |
4+ Vehicles Available | Exceptional 7.6% | Good 6.4% |
Bangladeshi vs Zimbabwean Education Level
When considering education level, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in no schooling completed (3.5% compared to 1.7%, a difference of 104.9%), doctorate degree (1.2% compared to 2.3%, a difference of 87.6%), and master's degree (10.5% compared to 17.7%, a difference of 69.1%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.3%, a difference of 1.8%), kindergarten (96.6% compared to 98.3%, a difference of 1.8%), and 1st grade (96.5% compared to 98.3%, a difference of 1.8%).
Education Level Metric | Bangladeshi | Zimbabwean |
No Schooling Completed | Tragic 3.5% | Exceptional 1.7% |
Nursery School | Tragic 96.6% | Exceptional 98.3% |
Kindergarten | Tragic 96.6% | Exceptional 98.3% |
1st Grade | Tragic 96.5% | Exceptional 98.3% |
2nd Grade | Tragic 96.5% | Exceptional 98.2% |
3rd Grade | Tragic 96.3% | Exceptional 98.1% |
4th Grade | Tragic 96.1% | Exceptional 97.9% |
5th Grade | Tragic 95.9% | Exceptional 97.8% |
6th Grade | Tragic 95.7% | Exceptional 97.6% |
7th Grade | Tragic 94.5% | Exceptional 96.8% |
8th Grade | Tragic 94.3% | Exceptional 96.5% |
9th Grade | Tragic 93.4% | Exceptional 95.9% |
10th Grade | Tragic 92.2% | Exceptional 94.9% |
11th Grade | Tragic 90.9% | Exceptional 93.9% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 92.7% |
High School Diploma | Tragic 86.9% | Exceptional 91.1% |
GED/Equivalency | Tragic 83.1% | Exceptional 88.0% |
College, Under 1 year | Tragic 61.4% | Exceptional 69.9% |
College, 1 year or more | Tragic 54.5% | Exceptional 64.2% |
Associate's Degree | Tragic 40.0% | Exceptional 51.3% |
Bachelor's Degree | Tragic 30.2% | Exceptional 43.3% |
Master's Degree | Tragic 10.5% | Exceptional 17.7% |
Professional Degree | Tragic 3.1% | Exceptional 5.2% |
Doctorate Degree | Tragic 1.2% | Exceptional 2.3% |
Bangladeshi vs Zimbabwean Disability
When considering disability, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in self-care disability (2.8% compared to 2.2%, a difference of 31.1%), disability age 35 to 64 (13.6% compared to 10.4%, a difference of 30.4%), and disability age 65 to 74 (26.8% compared to 21.5%, a difference of 24.5%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 48.1%, a difference of 2.9%), disability age 5 to 17 (5.8% compared to 5.5%, a difference of 4.6%), and cognitive disability (18.6% compared to 17.6%, a difference of 5.7%).
Disability Metric | Bangladeshi | Zimbabwean |
Disability | Tragic 12.6% | Exceptional 10.9% |
Males | Tragic 12.0% | Exceptional 10.6% |
Females | Tragic 13.1% | Exceptional 11.3% |
Age | Under 5 years | Poor 1.3% | Exceptional 1.2% |
Age | 5 to 17 years | Tragic 5.8% | Good 5.5% |
Age | 18 to 34 years | Tragic 7.4% | Good 6.5% |
Age | 35 to 64 years | Tragic 13.6% | Exceptional 10.4% |
Age | 65 to 74 years | Tragic 26.8% | Exceptional 21.5% |
Age | Over 75 years | Tragic 49.4% | Tragic 48.1% |
Vision | Tragic 2.3% | Exceptional 2.0% |
Hearing | Tragic 3.2% | Excellent 2.8% |
Cognitive | Tragic 18.6% | Tragic 17.6% |
Ambulatory | Poor 6.3% | Exceptional 5.4% |
Self-Care | Tragic 2.8% | Exceptional 2.2% |