Zimbabwean vs Bangladeshi Community Comparison
COMPARE
Zimbabwean
Bangladeshi
Social Comparison
Social Comparison
Zimbabweans
Bangladeshis
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
Bangladeshi Integration in Zimbabwean Communities
The statistical analysis conducted on geographies consisting of 43,726,091 people shows a substantial positive correlation between the proportion of Bangladeshis within Zimbabwean communities in the United States with a correlation coefficient (R) of 0.588. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is an increase of 3.543% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to an increase of 3,542.8 Bangladeshis.
Zimbabwean vs Bangladeshi Income
When considering income, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in per capita income ($45,804 compared to $35,897, a difference of 27.6%), median family income ($110,011 compared to $88,358, a difference of 24.5%), and householder income ages 45 - 64 years ($106,849 compared to $86,402, a difference of 23.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,259 compared to $47,589, a difference of 7.7%), median female earnings ($40,798 compared to $35,960, a difference of 13.5%), and median earnings ($48,229 compared to $41,263, a difference of 16.9%).
Income Metric | Zimbabwean | Bangladeshi |
Per Capita Income | Exceptional $45,804 | Tragic $35,897 |
Median Family Income | Exceptional $110,011 | Tragic $88,358 |
Median Household Income | Exceptional $90,618 | Tragic $74,112 |
Median Earnings | Exceptional $48,229 | Tragic $41,263 |
Median Male Earnings | Excellent $56,302 | Tragic $46,744 |
Median Female Earnings | Exceptional $40,798 | Tragic $35,960 |
Householder Age | Under 25 years | Tragic $51,259 | Tragic $47,589 |
Householder Age | 25 - 44 years | Exceptional $98,586 | Tragic $81,363 |
Householder Age | 45 - 64 years | Exceptional $106,849 | Tragic $86,402 |
Householder Age | Over 65 years | Exceptional $65,854 | Tragic $54,719 |
Wage/Income Gap | Fair 26.3% | Exceptional 22.2% |
Zimbabwean vs Bangladeshi Poverty
When considering poverty, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in receiving food stamps (9.5% compared to 15.0%, a difference of 58.7%), married-couple family poverty (4.1% compared to 6.0%, a difference of 47.3%), and child poverty under the age of 16 (14.2% compared to 19.9%, a difference of 40.5%). Conversely, both communities are more comparable in terms of single male poverty (13.1% compared to 13.3%, a difference of 1.9%), single father poverty (15.6% compared to 15.2%, a difference of 2.6%), and seniors poverty over the age of 75 (11.2% compared to 12.0%, a difference of 7.3%).
Poverty Metric | Zimbabwean | Bangladeshi |
Poverty | Exceptional 11.3% | Tragic 14.8% |
Families | Exceptional 7.8% | Tragic 10.9% |
Males | Exceptional 10.2% | Tragic 13.6% |
Females | Exceptional 12.3% | Tragic 16.0% |
Females 18 to 24 years | Fair 20.4% | Tragic 22.5% |
Females 25 to 34 years | Exceptional 11.7% | Tragic 15.9% |
Children Under 5 years | Exceptional 15.2% | Tragic 20.6% |
Children Under 16 years | Exceptional 14.2% | Tragic 19.9% |
Boys Under 16 years | Exceptional 14.3% | Tragic 20.0% |
Girls Under 16 years | Exceptional 14.4% | Tragic 20.0% |
Single Males | Poor 13.1% | Tragic 13.3% |
Single Females | Exceptional 19.5% | Tragic 24.2% |
Single Fathers | Exceptional 15.6% | Exceptional 15.2% |
Single Mothers | Exceptional 27.9% | Tragic 31.7% |
Married Couples | Exceptional 4.1% | Tragic 6.0% |
Seniors Over 65 years | Exceptional 9.6% | Fair 11.2% |
Seniors Over 75 years | Exceptional 11.2% | Good 12.0% |
Receiving Food Stamps | Exceptional 9.5% | Tragic 15.0% |
Zimbabwean vs Bangladeshi Unemployment
When considering unemployment, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in male unemployment (4.8% compared to 5.7%, a difference of 18.7%), unemployment among women with children ages 6 to 17 years (8.6% compared to 7.4%, a difference of 17.5%), and unemployment (4.8% compared to 5.4%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.3% compared to 7.5%, a difference of 2.2%), unemployment among ages 60 to 64 years (4.5% compared to 4.6%, a difference of 2.2%), and unemployment among women with children under 18 years (5.1% compared to 5.3%, a difference of 4.0%).
Unemployment Metric | Zimbabwean | Bangladeshi |
Unemployment | Exceptional 4.8% | Poor 5.4% |
Males | Exceptional 4.8% | Tragic 5.7% |
Females | Exceptional 4.8% | Good 5.2% |
Youth < 25 | Exceptional 10.2% | Average 11.6% |
Age | 16 to 19 years | Exceptional 15.4% | Exceptional 16.9% |
Age | 20 to 24 years | Exceptional 9.2% | Exceptional 10.0% |
Age | 25 to 29 years | Exceptional 6.4% | Average 6.6% |
Age | 30 to 34 years | Exceptional 4.8% | Good 5.3% |
Age | 35 to 44 years | Exceptional 4.3% | Fair 4.8% |
Age | 45 to 54 years | Exceptional 4.2% | Average 4.5% |
Age | 55 to 59 years | Exceptional 4.2% | Exceptional 4.7% |
Age | 60 to 64 years | Exceptional 4.5% | Exceptional 4.6% |
Age | 65 to 74 years | Tragic 5.9% | Good 5.3% |
Seniors > 65 | Tragic 5.6% | Fair 5.2% |
Seniors > 75 | Average 8.7% | Tragic 9.6% |
Women w/ Children < 6 | Exceptional 7.3% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 8.6% | Exceptional 7.4% |
Women w/ Children < 18 | Exceptional 5.1% | Good 5.3% |
Zimbabwean vs Bangladeshi Labor Participation
When considering labor participation, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 42.5%, a difference of 9.7%), in labor force | age 45-54 (84.0% compared to 81.3%, a difference of 3.3%), and in labor force | age 20-24 (75.6% compared to 78.1%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 85.1%, a difference of 0.67%), in labor force | age 30-34 (85.6% compared to 84.3%, a difference of 1.5%), and in labor force | age > 16 (67.3% compared to 65.9%, a difference of 2.1%).
Labor Participation Metric | Zimbabwean | Bangladeshi |
In Labor Force | Age > 16 | Exceptional 67.3% | Exceptional 65.9% |
In Labor Force | Age 20-64 | Exceptional 81.0% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 38.7% | Exceptional 42.5% |
In Labor Force | Age 20-24 | Excellent 75.6% | Exceptional 78.1% |
In Labor Force | Age 25-29 | Fair 84.5% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Exceptional 85.6% | Tragic 84.3% |
In Labor Force | Age 35-44 | Exceptional 86.1% | Poor 84.1% |
In Labor Force | Age 45-54 | Exceptional 84.0% | Tragic 81.3% |
Zimbabwean vs Bangladeshi Family Structure
When considering family structure, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in single father households (2.2% compared to 3.1%, a difference of 38.9%), single mother households (6.1% compared to 8.1%, a difference of 34.2%), and births to unmarried women (28.7% compared to 34.4%, a difference of 19.9%). Conversely, both communities are more comparable in terms of family households (64.1% compared to 64.3%, a difference of 0.30%), average family size (3.20 compared to 3.37, a difference of 5.2%), and divorced or separated (11.6% compared to 12.3%, a difference of 6.1%).
Family Structure Metric | Zimbabwean | Bangladeshi |
Family Households | Fair 64.1% | Average 64.3% |
Family Households with Children | Exceptional 27.9% | Exceptional 30.1% |
Married-couple Households | Excellent 47.4% | Tragic 43.5% |
Average Family Size | Poor 3.20 | Exceptional 3.37 |
Single Father Households | Exceptional 2.2% | Tragic 3.1% |
Single Mother Households | Excellent 6.1% | Tragic 8.1% |
Currently Married | Good 47.0% | Tragic 43.7% |
Divorced or Separated | Exceptional 11.6% | Poor 12.3% |
Births to Unmarried Women | Exceptional 28.7% | Tragic 34.4% |
Zimbabwean vs Bangladeshi Vehicle Availability
When considering vehicle availability, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 17.3%), 3 or more vehicles in household (20.3% compared to 21.9%, a difference of 7.9%), and no vehicles in household (9.0% compared to 8.7%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 91.4%, a difference of 0.41%), 2 or more vehicles in household (57.2% compared to 58.4%, a difference of 2.1%), and no vehicles in household (9.0% compared to 8.7%, a difference of 4.3%).
Vehicle Availability Metric | Zimbabwean | Bangladeshi |
No Vehicles Available | Exceptional 9.0% | Exceptional 8.7% |
1+ Vehicles Available | Exceptional 91.0% | Exceptional 91.4% |
2+ Vehicles Available | Exceptional 57.2% | Exceptional 58.4% |
3+ Vehicles Available | Excellent 20.3% | Exceptional 21.9% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.6% |
Zimbabwean vs Bangladeshi Education Level
When considering education level, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in no schooling completed (1.7% compared to 3.5%, a difference of 104.9%), doctorate degree (2.3% compared to 1.2%, a difference of 87.6%), and master's degree (17.7% compared to 10.5%, a difference of 69.1%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 96.6%, a difference of 1.8%), kindergarten (98.3% compared to 96.6%, a difference of 1.8%), and 1st grade (98.3% compared to 96.5%, a difference of 1.8%).
Education Level Metric | Zimbabwean | Bangladeshi |
No Schooling Completed | Exceptional 1.7% | Tragic 3.5% |
Nursery School | Exceptional 98.3% | Tragic 96.6% |
Kindergarten | Exceptional 98.3% | Tragic 96.6% |
1st Grade | Exceptional 98.3% | Tragic 96.5% |
2nd Grade | Exceptional 98.2% | Tragic 96.5% |
3rd Grade | Exceptional 98.1% | Tragic 96.3% |
4th Grade | Exceptional 97.9% | Tragic 96.1% |
5th Grade | Exceptional 97.8% | Tragic 95.9% |
6th Grade | Exceptional 97.6% | Tragic 95.7% |
7th Grade | Exceptional 96.8% | Tragic 94.5% |
8th Grade | Exceptional 96.5% | Tragic 94.3% |
9th Grade | Exceptional 95.9% | Tragic 93.4% |
10th Grade | Exceptional 94.9% | Tragic 92.2% |
11th Grade | Exceptional 93.9% | Tragic 90.9% |
12th Grade, No Diploma | Exceptional 92.7% | Tragic 89.3% |
High School Diploma | Exceptional 91.1% | Tragic 86.9% |
GED/Equivalency | Exceptional 88.0% | Tragic 83.1% |
College, Under 1 year | Exceptional 69.9% | Tragic 61.4% |
College, 1 year or more | Exceptional 64.2% | Tragic 54.5% |
Associate's Degree | Exceptional 51.3% | Tragic 40.0% |
Bachelor's Degree | Exceptional 43.3% | Tragic 30.2% |
Master's Degree | Exceptional 17.7% | Tragic 10.5% |
Professional Degree | Exceptional 5.2% | Tragic 3.1% |
Doctorate Degree | Exceptional 2.3% | Tragic 1.2% |
Zimbabwean vs Bangladeshi Disability
When considering disability, the most significant differences between Zimbabwean and Bangladeshi communities in the United States are seen in self-care disability (2.2% compared to 2.8%, a difference of 31.1%), disability age 35 to 64 (10.4% compared to 13.6%, a difference of 30.4%), and disability age 65 to 74 (21.5% compared to 26.8%, a difference of 24.5%). Conversely, both communities are more comparable in terms of disability age over 75 (48.1% compared to 49.4%, a difference of 2.9%), disability age 5 to 17 (5.5% compared to 5.8%, a difference of 4.6%), and cognitive disability (17.6% compared to 18.6%, a difference of 5.7%).
Disability Metric | Zimbabwean | Bangladeshi |
Disability | Exceptional 10.9% | Tragic 12.6% |
Males | Exceptional 10.6% | Tragic 12.0% |
Females | Exceptional 11.3% | Tragic 13.1% |
Age | Under 5 years | Exceptional 1.2% | Poor 1.3% |
Age | 5 to 17 years | Good 5.5% | Tragic 5.8% |
Age | 18 to 34 years | Good 6.5% | Tragic 7.4% |
Age | 35 to 64 years | Exceptional 10.4% | Tragic 13.6% |
Age | 65 to 74 years | Exceptional 21.5% | Tragic 26.8% |
Age | Over 75 years | Tragic 48.1% | Tragic 49.4% |
Vision | Exceptional 2.0% | Tragic 2.3% |
Hearing | Excellent 2.8% | Tragic 3.2% |
Cognitive | Tragic 17.6% | Tragic 18.6% |
Ambulatory | Exceptional 5.4% | Poor 6.3% |
Self-Care | Exceptional 2.2% | Tragic 2.8% |