Bangladeshi vs Immigrants from Oceania Community Comparison
COMPARE
Bangladeshi
Immigrants from Oceania
Social Comparison
Social Comparison
Bangladeshis
Immigrants from Oceania
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
6,183
SOCIAL INDEX
59.3/ 100
SOCIAL RATING
161st/ 347
SOCIAL RANK
Immigrants from Oceania Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 118,108,217 people shows no correlation between the proportion of Immigrants from Oceania within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.036. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.004% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 3.7 Immigrants from Oceania.
Bangladeshi vs Immigrants from Oceania Income
When considering income, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in per capita income ($35,897 compared to $45,220, a difference of 26.0%), median family income ($88,358 compared to $106,453, a difference of 20.5%), and median household income ($74,112 compared to $89,100, a difference of 20.2%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $40,297, a difference of 12.1%), householder income under 25 years ($47,589 compared to $53,680, a difference of 12.8%), and median earnings ($41,263 compared to $47,617, a difference of 15.4%).
Income Metric | Bangladeshi | Immigrants from Oceania |
Per Capita Income | Tragic $35,897 | Excellent $45,220 |
Median Family Income | Tragic $88,358 | Excellent $106,453 |
Median Household Income | Tragic $74,112 | Exceptional $89,100 |
Median Earnings | Tragic $41,263 | Excellent $47,617 |
Median Male Earnings | Tragic $46,744 | Good $55,712 |
Median Female Earnings | Tragic $35,960 | Good $40,297 |
Householder Age | Under 25 years | Tragic $47,589 | Exceptional $53,680 |
Householder Age | 25 - 44 years | Tragic $81,363 | Excellent $97,623 |
Householder Age | 45 - 64 years | Tragic $86,402 | Excellent $103,705 |
Householder Age | Over 65 years | Tragic $54,719 | Exceptional $64,416 |
Wage/Income Gap | Exceptional 22.2% | Average 25.6% |
Bangladeshi vs Immigrants from Oceania Poverty
When considering poverty, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in receiving food stamps (15.0% compared to 11.4%, a difference of 32.2%), child poverty under the age of 16 (19.9% compared to 15.9%, a difference of 25.2%), and child poverty among boys under 16 (20.0% compared to 16.0%, a difference of 25.1%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.7%), seniors poverty over the age of 75 (12.0% compared to 11.7%, a difference of 2.7%), and seniors poverty over the age of 65 (11.2% compared to 10.4%, a difference of 7.3%).
Poverty Metric | Bangladeshi | Immigrants from Oceania |
Poverty | Tragic 14.8% | Average 12.3% |
Families | Tragic 10.9% | Good 8.7% |
Males | Tragic 13.6% | Average 11.2% |
Females | Tragic 16.0% | Average 13.3% |
Females 18 to 24 years | Tragic 22.5% | Excellent 19.7% |
Females 25 to 34 years | Tragic 15.9% | Average 13.5% |
Children Under 5 years | Tragic 20.6% | Good 16.9% |
Children Under 16 years | Tragic 19.9% | Good 15.9% |
Boys Under 16 years | Tragic 20.0% | Good 16.0% |
Girls Under 16 years | Tragic 20.0% | Good 16.1% |
Single Males | Tragic 13.3% | Exceptional 12.4% |
Single Females | Tragic 24.2% | Good 20.7% |
Single Fathers | Exceptional 15.2% | Exceptional 15.4% |
Single Mothers | Tragic 31.7% | Good 28.7% |
Married Couples | Tragic 6.0% | Good 5.0% |
Seniors Over 65 years | Fair 11.2% | Excellent 10.4% |
Seniors Over 75 years | Good 12.0% | Excellent 11.7% |
Receiving Food Stamps | Tragic 15.0% | Good 11.4% |
Bangladeshi vs Immigrants from Oceania Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.1%, a difference of 9.9%), unemployment among seniors over 75 years (9.6% compared to 9.0%, a difference of 7.0%), and male unemployment (5.7% compared to 5.3%, a difference of 6.5%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.15%), unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.34%), and unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.42%).
Unemployment Metric | Bangladeshi | Immigrants from Oceania |
Unemployment | Poor 5.4% | Good 5.2% |
Males | Tragic 5.7% | Average 5.3% |
Females | Good 5.2% | Good 5.2% |
Youth < 25 | Average 11.6% | Excellent 11.4% |
Age | 16 to 19 years | Exceptional 16.9% | Excellent 17.2% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 10.0% |
Age | 25 to 29 years | Average 6.6% | Exceptional 6.4% |
Age | 30 to 34 years | Good 5.3% | Good 5.4% |
Age | 35 to 44 years | Fair 4.8% | Fair 4.8% |
Age | 45 to 54 years | Average 4.5% | Excellent 4.4% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.7% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.7% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.2% |
Seniors > 65 | Fair 5.2% | Exceptional 5.0% |
Seniors > 75 | Tragic 9.6% | Poor 9.0% |
Women w/ Children < 6 | Good 7.5% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Exceptional 8.1% |
Women w/ Children < 18 | Good 5.3% | Excellent 5.3% |
Bangladeshi vs Immigrants from Oceania Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 37.9%, a difference of 12.0%), in labor force | age 20-24 (78.1% compared to 76.1%, a difference of 2.6%), and in labor force | age 25-29 (85.1% compared to 84.2%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.3% compared to 79.3%, a difference of 0.040%), in labor force | age 35-44 (84.1% compared to 83.9%, a difference of 0.29%), and in labor force | age 30-34 (84.3% compared to 84.0%, a difference of 0.39%).
Labor Participation Metric | Bangladeshi | Immigrants from Oceania |
In Labor Force | Age > 16 | Exceptional 65.9% | Excellent 65.5% |
In Labor Force | Age 20-64 | Poor 79.3% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 37.9% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 76.1% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Tragic 84.2% |
In Labor Force | Age 30-34 | Tragic 84.3% | Tragic 84.0% |
In Labor Force | Age 35-44 | Poor 84.1% | Tragic 83.9% |
In Labor Force | Age 45-54 | Tragic 81.3% | Tragic 82.1% |
Bangladeshi vs Immigrants from Oceania Family Structure
When considering family structure, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in single mother households (8.1% compared to 6.3%, a difference of 29.6%), single father households (3.1% compared to 2.5%, a difference of 25.0%), and births to unmarried women (34.4% compared to 30.6%, a difference of 12.5%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.9%, a difference of 1.0%), average family size (3.37 compared to 3.29, a difference of 2.3%), and divorced or separated (12.3% compared to 11.9%, a difference of 3.0%).
Family Structure Metric | Bangladeshi | Immigrants from Oceania |
Family Households | Average 64.3% | Exceptional 64.9% |
Family Households with Children | Exceptional 30.1% | Exceptional 28.1% |
Married-couple Households | Tragic 43.5% | Good 46.9% |
Average Family Size | Exceptional 3.37 | Exceptional 3.29 |
Single Father Households | Tragic 3.1% | Tragic 2.5% |
Single Mother Households | Tragic 8.1% | Average 6.3% |
Currently Married | Tragic 43.7% | Average 46.5% |
Divorced or Separated | Poor 12.3% | Good 11.9% |
Births to Unmarried Women | Tragic 34.4% | Excellent 30.6% |
Bangladeshi vs Immigrants from Oceania Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in no vehicles in household (8.7% compared to 9.7%, a difference of 12.3%), 2 or more vehicles in household (58.4% compared to 57.5%, a difference of 1.5%), and 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.9% compared to 21.8%, a difference of 0.30%), 4 or more vehicles in household (7.6% compared to 7.6%, a difference of 1.0%), and 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%).
Vehicle Availability Metric | Bangladeshi | Immigrants from Oceania |
No Vehicles Available | Exceptional 8.7% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 91.4% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 57.5% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 21.8% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 7.6% |
Bangladeshi vs Immigrants from Oceania Education Level
When considering education level, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in no schooling completed (3.5% compared to 2.2%, a difference of 57.8%), doctorate degree (1.2% compared to 1.9%, a difference of 57.7%), and professional degree (3.1% compared to 4.6%, a difference of 47.9%). Conversely, both communities are more comparable in terms of 8th grade (94.3% compared to 95.3%, a difference of 1.1%), 9th grade (93.4% compared to 94.5%, a difference of 1.2%), and 7th grade (94.5% compared to 95.7%, a difference of 1.2%).
Education Level Metric | Bangladeshi | Immigrants from Oceania |
No Schooling Completed | Tragic 3.5% | Poor 2.2% |
Nursery School | Tragic 96.6% | Poor 97.8% |
Kindergarten | Tragic 96.6% | Poor 97.8% |
1st Grade | Tragic 96.5% | Poor 97.8% |
2nd Grade | Tragic 96.5% | Poor 97.7% |
3rd Grade | Tragic 96.3% | Tragic 97.6% |
4th Grade | Tragic 96.1% | Tragic 97.3% |
5th Grade | Tragic 95.9% | Poor 97.1% |
6th Grade | Tragic 95.7% | Poor 96.8% |
7th Grade | Tragic 94.5% | Tragic 95.7% |
8th Grade | Tragic 94.3% | Tragic 95.3% |
9th Grade | Tragic 93.4% | Poor 94.5% |
10th Grade | Tragic 92.2% | Poor 93.4% |
11th Grade | Tragic 90.9% | Fair 92.2% |
12th Grade, No Diploma | Tragic 89.3% | Fair 90.9% |
High School Diploma | Tragic 86.9% | Fair 88.8% |
GED/Equivalency | Tragic 83.1% | Fair 85.5% |
College, Under 1 year | Tragic 61.4% | Average 65.6% |
College, 1 year or more | Tragic 54.5% | Average 59.4% |
Associate's Degree | Tragic 40.0% | Fair 45.8% |
Bachelor's Degree | Tragic 30.2% | Fair 37.3% |
Master's Degree | Tragic 10.5% | Fair 14.7% |
Professional Degree | Tragic 3.1% | Good 4.6% |
Doctorate Degree | Tragic 1.2% | Good 1.9% |
Bangladeshi vs Immigrants from Oceania Disability
When considering disability, the most significant differences between Bangladeshi and Immigrants from Oceania communities in the United States are seen in disability age 35 to 64 (13.6% compared to 11.4%, a difference of 19.9%), self-care disability (2.8% compared to 2.5%, a difference of 13.0%), and disability age 65 to 74 (26.8% compared to 24.0%, a difference of 12.0%). Conversely, both communities are more comparable in terms of hearing disability (3.2% compared to 3.2%, a difference of 0.52%), disability age over 75 (49.4% compared to 48.0%, a difference of 2.9%), and ambulatory disability (6.3% compared to 6.1%, a difference of 3.0%).
Disability Metric | Bangladeshi | Immigrants from Oceania |
Disability | Tragic 12.6% | Fair 11.8% |
Males | Tragic 12.0% | Fair 11.4% |
Females | Tragic 13.1% | Good 12.1% |
Age | Under 5 years | Poor 1.3% | Exceptional 1.2% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 5.4% |
Age | 18 to 34 years | Tragic 7.4% | Fair 6.7% |
Age | 35 to 64 years | Tragic 13.6% | Fair 11.4% |
Age | 65 to 74 years | Tragic 26.8% | Poor 24.0% |
Age | Over 75 years | Tragic 49.4% | Tragic 48.0% |
Vision | Tragic 2.3% | Average 2.2% |
Hearing | Tragic 3.2% | Tragic 3.2% |
Cognitive | Tragic 18.6% | Tragic 17.6% |
Ambulatory | Poor 6.3% | Good 6.1% |
Self-Care | Tragic 2.8% | Fair 2.5% |