Polish vs Bhutanese Community Comparison
COMPARE
Polish
Bhutanese
Social Comparison
Social Comparison
Poles
Bhutanese
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK
10,144
SOCIAL INDEX
98.9/ 100
SOCIAL RATING
3rd/ 347
SOCIAL RANK
Bhutanese Integration in Polish Communities
The statistical analysis conducted on geographies consisting of 451,570,568 people shows a moderate negative correlation between the proportion of Bhutanese within Polish communities in the United States with a correlation coefficient (R) of -0.474. On average, for every 1% (one percent) increase in Poles within a typical geography, there is a decrease of 0.010% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Poles corresponds to a decrease of 10.4 Bhutanese.
Polish vs Bhutanese Income
When considering income, the most significant differences between Polish and Bhutanese communities in the United States are seen in householder income over 65 years ($61,598 compared to $72,288, a difference of 17.4%), median household income ($88,472 compared to $100,151, a difference of 13.2%), and householder income ages 45 - 64 years ($105,952 compared to $117,750, a difference of 11.1%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 27.0%, a difference of 5.8%), median male earnings ($58,139 compared to $61,759, a difference of 6.2%), and median earnings ($48,659 compared to $52,297, a difference of 7.5%).
Income Metric | Polish | Bhutanese |
Per Capita Income | Exceptional $46,123 | Exceptional $49,894 |
Median Family Income | Exceptional $108,507 | Exceptional $119,800 |
Median Household Income | Excellent $88,472 | Exceptional $100,151 |
Median Earnings | Exceptional $48,659 | Exceptional $52,297 |
Median Male Earnings | Exceptional $58,139 | Exceptional $61,759 |
Median Female Earnings | Excellent $40,371 | Exceptional $43,648 |
Householder Age | Under 25 years | Good $52,407 | Exceptional $57,078 |
Householder Age | 25 - 44 years | Exceptional $99,685 | Exceptional $109,520 |
Householder Age | 45 - 64 years | Exceptional $105,952 | Exceptional $117,750 |
Householder Age | Over 65 years | Good $61,598 | Exceptional $72,288 |
Wage/Income Gap | Tragic 28.5% | Tragic 27.0% |
Polish vs Bhutanese Poverty
When considering poverty, the most significant differences between Polish and Bhutanese communities in the United States are seen in single male poverty (13.0% compared to 11.1%, a difference of 17.8%), child poverty under the age of 5 (15.7% compared to 13.4%, a difference of 17.2%), and single father poverty (17.3% compared to 15.0%, a difference of 15.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.6% compared to 10.6%, a difference of 0.090%), married-couple family poverty (4.0% compared to 4.1%, a difference of 1.8%), and seniors poverty over the age of 65 (9.1% compared to 9.3%, a difference of 2.4%).
Poverty Metric | Polish | Bhutanese |
Poverty | Exceptional 10.7% | Exceptional 10.4% |
Families | Exceptional 7.4% | Exceptional 7.0% |
Males | Exceptional 9.7% | Exceptional 9.5% |
Females | Exceptional 11.7% | Exceptional 11.3% |
Females 18 to 24 years | Exceptional 18.8% | Exceptional 18.2% |
Females 25 to 34 years | Exceptional 12.7% | Exceptional 11.4% |
Children Under 5 years | Exceptional 15.7% | Exceptional 13.4% |
Children Under 16 years | Exceptional 14.0% | Exceptional 12.5% |
Boys Under 16 years | Exceptional 14.4% | Exceptional 12.6% |
Girls Under 16 years | Exceptional 14.4% | Exceptional 12.7% |
Single Males | Poor 13.0% | Exceptional 11.1% |
Single Females | Exceptional 20.0% | Exceptional 17.7% |
Single Fathers | Tragic 17.3% | Exceptional 15.0% |
Single Mothers | Exceptional 28.4% | Exceptional 25.6% |
Married Couples | Exceptional 4.0% | Exceptional 4.1% |
Seniors Over 65 years | Exceptional 9.1% | Exceptional 9.3% |
Seniors Over 75 years | Exceptional 10.6% | Exceptional 10.6% |
Receiving Food Stamps | Exceptional 10.0% | Exceptional 9.2% |
Polish vs Bhutanese Unemployment
When considering unemployment, the most significant differences between Polish and Bhutanese communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.0%, a difference of 28.1%), unemployment among women with children under 6 years (7.9% compared to 6.7%, a difference of 17.1%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.1%, a difference of 16.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.0% compared to 5.0%, a difference of 0.030%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.050%), and male unemployment (4.9% compared to 4.9%, a difference of 0.10%).
Unemployment Metric | Polish | Bhutanese |
Unemployment | Exceptional 4.7% | Exceptional 4.9% |
Males | Exceptional 4.9% | Exceptional 4.9% |
Females | Exceptional 4.7% | Exceptional 4.9% |
Youth < 25 | Exceptional 11.0% | Exceptional 11.2% |
Age | 16 to 19 years | Exceptional 16.4% | Exceptional 16.4% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 10.0% |
Age | 25 to 29 years | Good 6.5% | Exceptional 6.2% |
Age | 30 to 34 years | Good 5.3% | Exceptional 5.2% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.2% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.6% |
Age | 60 to 64 years | Exceptional 4.7% | Exceptional 4.5% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.0% |
Seniors > 65 | Excellent 5.1% | Exceptional 4.8% |
Seniors > 75 | Tragic 10.3% | Exceptional 8.0% |
Women w/ Children < 6 | Poor 7.9% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Tragic 9.4% | Exceptional 8.1% |
Women w/ Children < 18 | Exceptional 5.0% | Exceptional 5.0% |
Polish vs Bhutanese Labor Participation
When considering labor participation, the most significant differences between Polish and Bhutanese communities in the United States are seen in in labor force | age 16-19 (42.1% compared to 36.3%, a difference of 16.1%), in labor force | age 20-24 (77.6% compared to 75.4%, a difference of 2.9%), and in labor force | age > 16 (64.7% compared to 65.5%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.5%, a difference of 0.060%), in labor force | age 20-64 (80.1% compared to 80.2%, a difference of 0.17%), and in labor force | age 30-34 (85.5% compared to 85.0%, a difference of 0.61%).
Labor Participation Metric | Polish | Bhutanese |
In Labor Force | Age > 16 | Tragic 64.7% | Excellent 65.5% |
In Labor Force | Age 20-64 | Exceptional 80.1% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Exceptional 42.1% | Fair 36.3% |
In Labor Force | Age 20-24 | Exceptional 77.6% | Excellent 75.4% |
In Labor Force | Age 25-29 | Exceptional 85.8% | Good 84.8% |
In Labor Force | Age 30-34 | Exceptional 85.5% | Excellent 85.0% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Excellent 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.5% |
Polish vs Bhutanese Family Structure
When considering family structure, the most significant differences between Polish and Bhutanese communities in the United States are seen in births to unmarried women (30.8% compared to 27.9%, a difference of 10.5%), divorced or separated (11.9% compared to 11.2%, a difference of 6.6%), and single mother households (5.6% compared to 5.3%, a difference of 5.6%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.6%, a difference of 0.54%), married-couple households (48.5% compared to 49.3%, a difference of 1.5%), and family households (64.0% compared to 65.9%, a difference of 2.9%).
Family Structure Metric | Polish | Bhutanese |
Family Households | Poor 64.0% | Exceptional 65.9% |
Family Households with Children | Tragic 26.5% | Fair 27.3% |
Married-couple Households | Exceptional 48.5% | Exceptional 49.3% |
Average Family Size | Tragic 3.09 | Excellent 3.25 |
Single Father Households | Exceptional 2.2% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.6% | Exceptional 5.3% |
Currently Married | Exceptional 48.9% | Exceptional 48.6% |
Divorced or Separated | Good 11.9% | Exceptional 11.2% |
Births to Unmarried Women | Good 30.8% | Exceptional 27.9% |
Polish vs Bhutanese Vehicle Availability
When considering vehicle availability, the most significant differences between Polish and Bhutanese communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.8%, a difference of 22.4%), 3 or more vehicles in household (20.2% compared to 22.2%, a difference of 10.1%), and no vehicles in household (8.4% compared to 8.7%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 91.4%, a difference of 0.34%), 2 or more vehicles in household (58.3% compared to 59.1%, a difference of 1.4%), and no vehicles in household (8.4% compared to 8.7%, a difference of 3.3%).
Vehicle Availability Metric | Polish | Bhutanese |
No Vehicles Available | Exceptional 8.4% | Exceptional 8.7% |
1+ Vehicles Available | Exceptional 91.7% | Exceptional 91.4% |
2+ Vehicles Available | Exceptional 58.3% | Exceptional 59.1% |
3+ Vehicles Available | Excellent 20.2% | Exceptional 22.2% |
4+ Vehicles Available | Average 6.4% | Exceptional 7.8% |
Polish vs Bhutanese Education Level
When considering education level, the most significant differences between Polish and Bhutanese communities in the United States are seen in no schooling completed (1.4% compared to 1.8%, a difference of 25.3%), doctorate degree (1.9% compared to 2.3%, a difference of 21.9%), and professional degree (4.6% compared to 5.4%, a difference of 19.2%). Conversely, both communities are more comparable in terms of ged/equivalency (88.5% compared to 88.4%, a difference of 0.050%), nursery school (98.6% compared to 98.2%, a difference of 0.38%), and kindergarten (98.6% compared to 98.2%, a difference of 0.39%).
Education Level Metric | Polish | Bhutanese |
No Schooling Completed | Exceptional 1.4% | Exceptional 1.8% |
Nursery School | Exceptional 98.6% | Exceptional 98.2% |
Kindergarten | Exceptional 98.6% | Exceptional 98.2% |
1st Grade | Exceptional 98.6% | Exceptional 98.2% |
2nd Grade | Exceptional 98.5% | Exceptional 98.1% |
3rd Grade | Exceptional 98.5% | Exceptional 98.1% |
4th Grade | Exceptional 98.4% | Exceptional 97.9% |
5th Grade | Exceptional 98.3% | Exceptional 97.7% |
6th Grade | Exceptional 98.1% | Exceptional 97.5% |
7th Grade | Exceptional 97.6% | Exceptional 96.6% |
8th Grade | Exceptional 97.4% | Exceptional 96.4% |
9th Grade | Exceptional 96.7% | Exceptional 95.7% |
10th Grade | Exceptional 95.8% | Exceptional 94.9% |
11th Grade | Exceptional 94.8% | Exceptional 94.0% |
12th Grade, No Diploma | Exceptional 93.5% | Exceptional 93.0% |
High School Diploma | Exceptional 91.9% | Exceptional 91.2% |
GED/Equivalency | Exceptional 88.5% | Exceptional 88.4% |
College, Under 1 year | Excellent 66.9% | Exceptional 70.3% |
College, 1 year or more | Excellent 60.7% | Exceptional 64.6% |
Associate's Degree | Excellent 48.0% | Exceptional 51.4% |
Bachelor's Degree | Good 39.1% | Exceptional 42.7% |
Master's Degree | Excellent 15.7% | Exceptional 17.2% |
Professional Degree | Good 4.6% | Exceptional 5.4% |
Doctorate Degree | Good 1.9% | Exceptional 2.3% |
Polish vs Bhutanese Disability
When considering disability, the most significant differences between Polish and Bhutanese communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 36.0%), disability age 5 to 17 (5.9% compared to 4.9%, a difference of 20.3%), and disability age 18 to 34 (7.2% compared to 6.2%, a difference of 15.4%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 0.94%), cognitive disability (16.4% compared to 16.6%, a difference of 1.1%), and disability age 65 to 74 (22.0% compared to 21.5%, a difference of 2.6%).
Disability Metric | Polish | Bhutanese |
Disability | Tragic 12.2% | Exceptional 11.2% |
Males | Tragic 12.0% | Excellent 11.0% |
Females | Tragic 12.5% | Exceptional 11.5% |
Age | Under 5 years | Tragic 1.6% | Exceptional 1.2% |
Age | 5 to 17 years | Tragic 5.9% | Exceptional 4.9% |
Age | 18 to 34 years | Tragic 7.2% | Exceptional 6.2% |
Age | 35 to 64 years | Average 11.3% | Exceptional 9.8% |
Age | 65 to 74 years | Exceptional 22.0% | Exceptional 21.5% |
Age | Over 75 years | Exceptional 45.3% | Good 47.1% |
Vision | Exceptional 2.1% | Exceptional 2.0% |
Hearing | Tragic 3.4% | Tragic 3.2% |
Cognitive | Exceptional 16.4% | Exceptional 16.6% |
Ambulatory | Fair 6.2% | Exceptional 5.8% |
Self-Care | Excellent 2.4% | Exceptional 2.4% |