Bangladeshi vs Pima Community Comparison
COMPARE
Bangladeshi
Pima
Social Comparison
Social Comparison
Bangladeshis
Pima
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK
Pima Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 44,806,934 people shows no correlation between the proportion of Pima within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.039. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.001% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 1.0 Pima.
Bangladeshi vs Pima Income
When considering income, the most significant differences between Bangladeshi and Pima communities in the United States are seen in householder income ages 45 - 64 years ($86,402 compared to $73,365, a difference of 17.8%), median household income ($74,112 compared to $63,262, a difference of 17.2%), and per capita income ($35,897 compared to $30,644, a difference of 17.1%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($81,363 compared to $82,821, a difference of 1.8%), median female earnings ($35,960 compared to $35,326, a difference of 1.8%), and wage/income gap (22.2% compared to 21.1%, a difference of 5.0%).
Income Metric | Bangladeshi | Pima |
Per Capita Income | Tragic $35,897 | Tragic $30,644 |
Median Family Income | Tragic $88,358 | Tragic $77,431 |
Median Household Income | Tragic $74,112 | Tragic $63,262 |
Median Earnings | Tragic $41,263 | Tragic $38,285 |
Median Male Earnings | Tragic $46,744 | Tragic $42,357 |
Median Female Earnings | Tragic $35,960 | Tragic $35,326 |
Householder Age | Under 25 years | Tragic $47,589 | Poor $51,503 |
Householder Age | 25 - 44 years | Tragic $81,363 | Tragic $82,821 |
Householder Age | 45 - 64 years | Tragic $86,402 | Tragic $73,365 |
Householder Age | Over 65 years | Tragic $54,719 | Tragic $50,539 |
Wage/Income Gap | Exceptional 22.2% | Exceptional 21.1% |
Bangladeshi vs Pima Poverty
When considering poverty, the most significant differences between Bangladeshi and Pima communities in the United States are seen in seniors poverty over the age of 75 (12.0% compared to 23.9%, a difference of 99.4%), married-couple family poverty (6.0% compared to 11.4%, a difference of 89.8%), and seniors poverty over the age of 65 (11.2% compared to 19.8%, a difference of 76.8%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 14.8%, a difference of 2.9%), single mother poverty (31.7% compared to 38.6%, a difference of 21.7%), and single female poverty (24.2% compared to 30.3%, a difference of 25.5%).
Poverty Metric | Bangladeshi | Pima |
Poverty | Tragic 14.8% | Tragic 21.9% |
Families | Tragic 10.9% | Tragic 18.4% |
Males | Tragic 13.6% | Tragic 20.4% |
Females | Tragic 16.0% | Tragic 23.6% |
Females 18 to 24 years | Tragic 22.5% | Tragic 28.4% |
Females 25 to 34 years | Tragic 15.9% | Tragic 25.3% |
Children Under 5 years | Tragic 20.6% | Tragic 27.4% |
Children Under 16 years | Tragic 19.9% | Tragic 29.0% |
Boys Under 16 years | Tragic 20.0% | Tragic 29.7% |
Girls Under 16 years | Tragic 20.0% | Tragic 28.2% |
Single Males | Tragic 13.3% | Tragic 20.2% |
Single Females | Tragic 24.2% | Tragic 30.3% |
Single Fathers | Exceptional 15.2% | Exceptional 14.8% |
Single Mothers | Tragic 31.7% | Tragic 38.6% |
Married Couples | Tragic 6.0% | Tragic 11.4% |
Seniors Over 65 years | Fair 11.2% | Tragic 19.8% |
Seniors Over 75 years | Good 12.0% | Tragic 23.9% |
Receiving Food Stamps | Tragic 15.0% | Tragic 19.0% |
Bangladeshi vs Pima Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Pima communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 18.9%, a difference of 156.7%), unemployment among ages 35 to 44 years (4.8% compared to 11.8%, a difference of 146.6%), and unemployment among women with children under 18 years (5.3% compared to 11.7%, a difference of 118.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.6% compared to 9.2%, a difference of 4.2%), unemployment among ages 60 to 64 years (4.6% compared to 4.8%, a difference of 4.5%), and unemployment among seniors over 65 years (5.2% compared to 6.3%, a difference of 21.0%).
Unemployment Metric | Bangladeshi | Pima |
Unemployment | Poor 5.4% | Tragic 8.2% |
Males | Tragic 5.7% | Tragic 8.3% |
Females | Good 5.2% | Tragic 9.3% |
Youth < 25 | Average 11.6% | Tragic 16.2% |
Age | 16 to 19 years | Exceptional 16.9% | Tragic 23.1% |
Age | 20 to 24 years | Exceptional 10.0% | Tragic 14.2% |
Age | 25 to 29 years | Average 6.6% | Tragic 11.8% |
Age | 30 to 34 years | Good 5.3% | Tragic 9.6% |
Age | 35 to 44 years | Fair 4.8% | Tragic 11.8% |
Age | 45 to 54 years | Average 4.5% | Tragic 6.4% |
Age | 55 to 59 years | Exceptional 4.7% | Tragic 6.6% |
Age | 60 to 64 years | Exceptional 4.6% | Excellent 4.8% |
Age | 65 to 74 years | Good 5.3% | Tragic 6.6% |
Seniors > 65 | Fair 5.2% | Tragic 6.3% |
Seniors > 75 | Tragic 9.6% | Tragic 9.2% |
Women w/ Children < 6 | Good 7.5% | Tragic 13.4% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Tragic 18.9% |
Women w/ Children < 18 | Good 5.3% | Tragic 11.7% |
Bangladeshi vs Pima Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Pima communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.1%, a difference of 24.6%), in labor force | age > 16 (65.9% compared to 57.4%, a difference of 14.9%), and in labor force | age 20-64 (79.3% compared to 69.0%, a difference of 14.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 79.0%, a difference of 6.7%), in labor force | age 45-54 (81.3% compared to 72.8%, a difference of 11.7%), and in labor force | age 35-44 (84.1% compared to 74.8%, a difference of 12.4%).
Labor Participation Metric | Bangladeshi | Pima |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 57.4% |
In Labor Force | Age 20-64 | Poor 79.3% | Tragic 69.0% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Tragic 34.1% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Tragic 69.0% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Tragic 74.3% |
In Labor Force | Age 30-34 | Tragic 84.3% | Tragic 79.0% |
In Labor Force | Age 35-44 | Poor 84.1% | Tragic 74.8% |
In Labor Force | Age 45-54 | Tragic 81.3% | Tragic 72.8% |
Bangladeshi vs Pima Family Structure
When considering family structure, the most significant differences between Bangladeshi and Pima communities in the United States are seen in births to unmarried women (34.4% compared to 51.5%, a difference of 49.6%), single father households (3.1% compared to 4.2%, a difference of 36.0%), and married-couple households (43.5% compared to 35.6%, a difference of 22.4%). Conversely, both communities are more comparable in terms of single mother households (8.1% compared to 8.3%, a difference of 1.7%), family households (64.3% compared to 65.9%, a difference of 2.6%), and divorced or separated (12.3% compared to 12.9%, a difference of 4.9%).
Family Structure Metric | Bangladeshi | Pima |
Family Households | Average 64.3% | Exceptional 65.9% |
Family Households with Children | Exceptional 30.1% | Tragic 27.1% |
Married-couple Households | Tragic 43.5% | Tragic 35.6% |
Average Family Size | Exceptional 3.37 | Exceptional 3.75 |
Single Father Households | Tragic 3.1% | Tragic 4.2% |
Single Mother Households | Tragic 8.1% | Tragic 8.3% |
Currently Married | Tragic 43.7% | Tragic 35.9% |
Divorced or Separated | Poor 12.3% | Tragic 12.9% |
Births to Unmarried Women | Tragic 34.4% | Tragic 51.5% |
Bangladeshi vs Pima Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Pima communities in the United States are seen in no vehicles in household (8.7% compared to 14.1%, a difference of 63.1%), 2 or more vehicles in household (58.4% compared to 52.0%, a difference of 12.3%), and 1 or more vehicles in household (91.4% compared to 86.3%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.9% compared to 22.0%, a difference of 0.77%), 4 or more vehicles in household (7.6% compared to 7.9%, a difference of 4.2%), and 1 or more vehicles in household (91.4% compared to 86.3%, a difference of 5.9%).
Vehicle Availability Metric | Bangladeshi | Pima |
No Vehicles Available | Exceptional 8.7% | Tragic 14.1% |
1+ Vehicles Available | Exceptional 91.4% | Tragic 86.3% |
2+ Vehicles Available | Exceptional 58.4% | Tragic 52.0% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 22.0% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 7.9% |
Bangladeshi vs Pima Education Level
When considering education level, the most significant differences between Bangladeshi and Pima communities in the United States are seen in no schooling completed (3.5% compared to 2.1%, a difference of 67.4%), associate's degree (40.0% compared to 30.2%, a difference of 32.4%), and bachelor's degree (30.2% compared to 23.2%, a difference of 30.1%). Conversely, both communities are more comparable in terms of 9th grade (93.4% compared to 93.9%, a difference of 0.52%), 10th grade (92.2% compared to 91.2%, a difference of 1.1%), and 8th grade (94.3% compared to 95.6%, a difference of 1.4%).
Education Level Metric | Bangladeshi | Pima |
No Schooling Completed | Tragic 3.5% | Average 2.1% |
Nursery School | Tragic 96.6% | Exceptional 98.2% |
Kindergarten | Tragic 96.6% | Exceptional 98.2% |
1st Grade | Tragic 96.5% | Exceptional 98.2% |
2nd Grade | Tragic 96.5% | Exceptional 98.2% |
3rd Grade | Tragic 96.3% | Exceptional 98.0% |
4th Grade | Tragic 96.1% | Exceptional 97.7% |
5th Grade | Tragic 95.9% | Exceptional 97.6% |
6th Grade | Tragic 95.7% | Excellent 97.2% |
7th Grade | Tragic 94.5% | Good 96.1% |
8th Grade | Tragic 94.3% | Fair 95.6% |
9th Grade | Tragic 93.4% | Tragic 93.9% |
10th Grade | Tragic 92.2% | Tragic 91.2% |
11th Grade | Tragic 90.9% | Tragic 88.3% |
12th Grade, No Diploma | Tragic 89.3% | Tragic 84.6% |
High School Diploma | Tragic 86.9% | Tragic 81.6% |
GED/Equivalency | Tragic 83.1% | Tragic 76.4% |
College, Under 1 year | Tragic 61.4% | Tragic 51.4% |
College, 1 year or more | Tragic 54.5% | Tragic 45.6% |
Associate's Degree | Tragic 40.0% | Tragic 30.2% |
Bachelor's Degree | Tragic 30.2% | Tragic 23.2% |
Master's Degree | Tragic 10.5% | Tragic 9.2% |
Professional Degree | Tragic 3.1% | Tragic 3.3% |
Doctorate Degree | Tragic 1.2% | Tragic 1.3% |
Bangladeshi vs Pima Disability
When considering disability, the most significant differences between Bangladeshi and Pima communities in the United States are seen in disability age 65 to 74 (26.8% compared to 38.6%, a difference of 43.8%), vision disability (2.3% compared to 3.3%, a difference of 41.8%), and ambulatory disability (6.3% compared to 8.2%, a difference of 31.6%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 18.8%, a difference of 0.96%), self-care disability (2.8% compared to 2.8%, a difference of 1.3%), and disability age 18 to 34 (7.4% compared to 7.7%, a difference of 5.0%).
Disability Metric | Bangladeshi | Pima |
Disability | Tragic 12.6% | Tragic 13.7% |
Males | Tragic 12.0% | Tragic 12.8% |
Females | Tragic 13.1% | Tragic 14.8% |
Age | Under 5 years | Poor 1.3% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 5.8% | Tragic 6.2% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.7% |
Age | 35 to 64 years | Tragic 13.6% | Tragic 16.1% |
Age | 65 to 74 years | Tragic 26.8% | Tragic 38.6% |
Age | Over 75 years | Tragic 49.4% | Tragic 55.8% |
Vision | Tragic 2.3% | Tragic 3.3% |
Hearing | Tragic 3.2% | Tragic 3.7% |
Cognitive | Tragic 18.6% | Tragic 18.8% |
Ambulatory | Poor 6.3% | Tragic 8.2% |
Self-Care | Tragic 2.8% | Tragic 2.8% |