Immigrants from Oceania vs Bangladeshi Community Comparison
COMPARE
Immigrants from Oceania
Bangladeshi
Social Comparison
Social Comparison
Immigrants from Oceania
Bangladeshis
6,183
SOCIAL INDEX
59.3/ 100
SOCIAL RATING
161st/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
Bangladeshi Integration in Immigrants from Oceania Communities
The statistical analysis conducted on geographies consisting of 118,118,330 people shows a poor negative correlation between the proportion of Bangladeshis within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of -0.181. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is a decrease of 0.068% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to a decrease of 67.7 Bangladeshis.
Immigrants from Oceania vs Bangladeshi Income
When considering income, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in per capita income ($45,220 compared to $35,897, a difference of 26.0%), median family income ($106,453 compared to $88,358, a difference of 20.5%), and median household income ($89,100 compared to $74,112, a difference of 20.2%). Conversely, both communities are more comparable in terms of median female earnings ($40,297 compared to $35,960, a difference of 12.1%), householder income under 25 years ($53,680 compared to $47,589, a difference of 12.8%), and median earnings ($47,617 compared to $41,263, a difference of 15.4%).
Income Metric | Immigrants from Oceania | Bangladeshi |
Per Capita Income | Excellent $45,220 | Tragic $35,897 |
Median Family Income | Excellent $106,453 | Tragic $88,358 |
Median Household Income | Exceptional $89,100 | Tragic $74,112 |
Median Earnings | Excellent $47,617 | Tragic $41,263 |
Median Male Earnings | Good $55,712 | Tragic $46,744 |
Median Female Earnings | Good $40,297 | Tragic $35,960 |
Householder Age | Under 25 years | Exceptional $53,680 | Tragic $47,589 |
Householder Age | 25 - 44 years | Excellent $97,623 | Tragic $81,363 |
Householder Age | 45 - 64 years | Excellent $103,705 | Tragic $86,402 |
Householder Age | Over 65 years | Exceptional $64,416 | Tragic $54,719 |
Wage/Income Gap | Average 25.6% | Exceptional 22.2% |
Immigrants from Oceania vs Bangladeshi Poverty
When considering poverty, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in receiving food stamps (11.4% compared to 15.0%, a difference of 32.2%), child poverty under the age of 16 (15.9% compared to 19.9%, a difference of 25.2%), and child poverty among boys under 16 (16.0% compared to 20.0%, a difference of 25.1%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.2%, a difference of 1.7%), seniors poverty over the age of 75 (11.7% compared to 12.0%, a difference of 2.7%), and seniors poverty over the age of 65 (10.4% compared to 11.2%, a difference of 7.3%).
Poverty Metric | Immigrants from Oceania | Bangladeshi |
Poverty | Average 12.3% | Tragic 14.8% |
Families | Good 8.7% | Tragic 10.9% |
Males | Average 11.2% | Tragic 13.6% |
Females | Average 13.3% | Tragic 16.0% |
Females 18 to 24 years | Excellent 19.7% | Tragic 22.5% |
Females 25 to 34 years | Average 13.5% | Tragic 15.9% |
Children Under 5 years | Good 16.9% | Tragic 20.6% |
Children Under 16 years | Good 15.9% | Tragic 19.9% |
Boys Under 16 years | Good 16.0% | Tragic 20.0% |
Girls Under 16 years | Good 16.1% | Tragic 20.0% |
Single Males | Exceptional 12.4% | Tragic 13.3% |
Single Females | Good 20.7% | Tragic 24.2% |
Single Fathers | Exceptional 15.4% | Exceptional 15.2% |
Single Mothers | Good 28.7% | Tragic 31.7% |
Married Couples | Good 5.0% | Tragic 6.0% |
Seniors Over 65 years | Excellent 10.4% | Fair 11.2% |
Seniors Over 75 years | Excellent 11.7% | Good 12.0% |
Receiving Food Stamps | Good 11.4% | Tragic 15.0% |
Immigrants from Oceania vs Bangladeshi Unemployment
When considering unemployment, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 7.4%, a difference of 9.9%), unemployment among seniors over 75 years (9.0% compared to 9.6%, a difference of 7.0%), and male unemployment (5.3% compared to 5.7%, 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 | Immigrants from Oceania | Bangladeshi |
Unemployment | Good 5.2% | Poor 5.4% |
Males | Average 5.3% | Tragic 5.7% |
Females | Good 5.2% | Good 5.2% |
Youth < 25 | Excellent 11.4% | Average 11.6% |
Age | 16 to 19 years | Excellent 17.2% | Exceptional 16.9% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 10.0% |
Age | 25 to 29 years | Exceptional 6.4% | Average 6.6% |
Age | 30 to 34 years | Good 5.4% | Good 5.3% |
Age | 35 to 44 years | Fair 4.8% | Fair 4.8% |
Age | 45 to 54 years | Excellent 4.4% | Average 4.5% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.7% |
Age | 60 to 64 years | Exceptional 4.7% | Exceptional 4.6% |
Age | 65 to 74 years | Exceptional 5.2% | Good 5.3% |
Seniors > 65 | Exceptional 5.0% | Fair 5.2% |
Seniors > 75 | Poor 9.0% | Tragic 9.6% |
Women w/ Children < 6 | Good 7.5% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 8.1% | Exceptional 7.4% |
Women w/ Children < 18 | Excellent 5.3% | Good 5.3% |
Immigrants from Oceania vs Bangladeshi Labor Participation
When considering labor participation, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (37.9% compared to 42.5%, a difference of 12.0%), in labor force | age 20-24 (76.1% compared to 78.1%, a difference of 2.6%), and in labor force | age 25-29 (84.2% compared to 85.1%, 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 (83.9% compared to 84.1%, a difference of 0.29%), and in labor force | age 30-34 (84.0% compared to 84.3%, a difference of 0.39%).
Labor Participation Metric | Immigrants from Oceania | Bangladeshi |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 65.9% |
In Labor Force | Age 20-64 | Poor 79.3% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 37.9% | Exceptional 42.5% |
In Labor Force | Age 20-24 | Exceptional 76.1% | Exceptional 78.1% |
In Labor Force | Age 25-29 | Tragic 84.2% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 84.0% | Tragic 84.3% |
In Labor Force | Age 35-44 | Tragic 83.9% | Poor 84.1% |
In Labor Force | Age 45-54 | Tragic 82.1% | Tragic 81.3% |
Immigrants from Oceania vs Bangladeshi Family Structure
When considering family structure, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in single mother households (6.3% compared to 8.1%, a difference of 29.6%), single father households (2.5% compared to 3.1%, a difference of 25.0%), and births to unmarried women (30.6% compared to 34.4%, a difference of 12.5%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.3%, a difference of 1.0%), average family size (3.29 compared to 3.37, a difference of 2.3%), and divorced or separated (11.9% compared to 12.3%, a difference of 3.0%).
Family Structure Metric | Immigrants from Oceania | Bangladeshi |
Family Households | Exceptional 64.9% | Average 64.3% |
Family Households with Children | Exceptional 28.1% | Exceptional 30.1% |
Married-couple Households | Good 46.9% | Tragic 43.5% |
Average Family Size | Exceptional 3.29 | Exceptional 3.37 |
Single Father Households | Tragic 2.5% | Tragic 3.1% |
Single Mother Households | Average 6.3% | Tragic 8.1% |
Currently Married | Average 46.5% | Tragic 43.7% |
Divorced or Separated | Good 11.9% | Poor 12.3% |
Births to Unmarried Women | Excellent 30.6% | Tragic 34.4% |
Immigrants from Oceania vs Bangladeshi Vehicle Availability
When considering vehicle availability, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in no vehicles in household (9.7% compared to 8.7%, a difference of 12.3%), 2 or more vehicles in household (57.5% compared to 58.4%, a difference of 1.5%), and 1 or more vehicles in household (90.4% compared to 91.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.8% compared to 21.9%, 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 (90.4% compared to 91.4%, a difference of 1.1%).
Vehicle Availability Metric | Immigrants from Oceania | Bangladeshi |
No Vehicles Available | Excellent 9.7% | Exceptional 8.7% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 91.4% |
2+ Vehicles Available | Exceptional 57.5% | Exceptional 58.4% |
3+ Vehicles Available | Exceptional 21.8% | Exceptional 21.9% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 7.6% |
Immigrants from Oceania vs Bangladeshi Education Level
When considering education level, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in no schooling completed (2.2% compared to 3.5%, a difference of 57.8%), doctorate degree (1.9% compared to 1.2%, a difference of 57.7%), and professional degree (4.6% compared to 3.1%, a difference of 47.9%). Conversely, both communities are more comparable in terms of 8th grade (95.3% compared to 94.3%, a difference of 1.1%), 9th grade (94.5% compared to 93.4%, a difference of 1.2%), and 7th grade (95.7% compared to 94.5%, a difference of 1.2%).
Education Level Metric | Immigrants from Oceania | Bangladeshi |
No Schooling Completed | Poor 2.2% | Tragic 3.5% |
Nursery School | Poor 97.8% | Tragic 96.6% |
Kindergarten | Poor 97.8% | Tragic 96.6% |
1st Grade | Poor 97.8% | Tragic 96.5% |
2nd Grade | Poor 97.7% | Tragic 96.5% |
3rd Grade | Tragic 97.6% | Tragic 96.3% |
4th Grade | Tragic 97.3% | Tragic 96.1% |
5th Grade | Poor 97.1% | Tragic 95.9% |
6th Grade | Poor 96.8% | Tragic 95.7% |
7th Grade | Tragic 95.7% | Tragic 94.5% |
8th Grade | Tragic 95.3% | Tragic 94.3% |
9th Grade | Poor 94.5% | Tragic 93.4% |
10th Grade | Poor 93.4% | Tragic 92.2% |
11th Grade | Fair 92.2% | Tragic 90.9% |
12th Grade, No Diploma | Fair 90.9% | Tragic 89.3% |
High School Diploma | Fair 88.8% | Tragic 86.9% |
GED/Equivalency | Fair 85.5% | Tragic 83.1% |
College, Under 1 year | Average 65.6% | Tragic 61.4% |
College, 1 year or more | Average 59.4% | Tragic 54.5% |
Associate's Degree | Fair 45.8% | Tragic 40.0% |
Bachelor's Degree | Fair 37.3% | Tragic 30.2% |
Master's Degree | Fair 14.7% | Tragic 10.5% |
Professional Degree | Good 4.6% | Tragic 3.1% |
Doctorate Degree | Good 1.9% | Tragic 1.2% |
Immigrants from Oceania vs Bangladeshi Disability
When considering disability, the most significant differences between Immigrants from Oceania and Bangladeshi communities in the United States are seen in disability age 35 to 64 (11.4% compared to 13.6%, a difference of 19.9%), self-care disability (2.5% compared to 2.8%, a difference of 13.0%), and disability age 65 to 74 (24.0% compared to 26.8%, 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 (48.0% compared to 49.4%, a difference of 2.9%), and ambulatory disability (6.1% compared to 6.3%, a difference of 3.0%).
Disability Metric | Immigrants from Oceania | Bangladeshi |
Disability | Fair 11.8% | Tragic 12.6% |
Males | Fair 11.4% | Tragic 12.0% |
Females | Good 12.1% | Tragic 13.1% |
Age | Under 5 years | Exceptional 1.2% | Poor 1.3% |
Age | 5 to 17 years | Exceptional 5.4% | Tragic 5.8% |
Age | 18 to 34 years | Fair 6.7% | Tragic 7.4% |
Age | 35 to 64 years | Fair 11.4% | Tragic 13.6% |
Age | 65 to 74 years | Poor 24.0% | Tragic 26.8% |
Age | Over 75 years | Tragic 48.0% | Tragic 49.4% |
Vision | Average 2.2% | Tragic 2.3% |
Hearing | Tragic 3.2% | Tragic 3.2% |
Cognitive | Tragic 17.6% | Tragic 18.6% |
Ambulatory | Good 6.1% | Poor 6.3% |
Self-Care | Fair 2.5% | Tragic 2.8% |