Burmese vs Polish Community Comparison
COMPARE
Burmese
Polish
Social Comparison
Social Comparison
Burmese
Poles
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK
Polish Integration in Burmese Communities
The statistical analysis conducted on geographies consisting of 461,533,390 people shows a poor negative correlation between the proportion of Poles within Burmese communities in the United States with a correlation coefficient (R) of -0.101. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.011% in Poles. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 11.2 Poles.
Burmese vs Polish Income
When considering income, the most significant differences between Burmese and Polish communities in the United States are seen in median household income ($103,145 compared to $88,472, a difference of 16.6%), householder income over 65 years ($71,139 compared to $61,598, a difference of 15.5%), and householder income ages 45 - 64 years ($121,444 compared to $105,952, a difference of 14.6%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 28.5%, a difference of 1.9%), householder income under 25 years ($54,800 compared to $52,407, a difference of 4.6%), and median female earnings ($44,911 compared to $40,371, a difference of 11.3%).
Income Metric | Burmese | Polish |
Per Capita Income | Exceptional $52,005 | Exceptional $46,123 |
Median Family Income | Exceptional $123,369 | Exceptional $108,507 |
Median Household Income | Exceptional $103,145 | Excellent $88,472 |
Median Earnings | Exceptional $54,559 | Exceptional $48,659 |
Median Male Earnings | Exceptional $65,236 | Exceptional $58,139 |
Median Female Earnings | Exceptional $44,911 | Excellent $40,371 |
Householder Age | Under 25 years | Exceptional $54,800 | Good $52,407 |
Householder Age | 25 - 44 years | Exceptional $113,701 | Exceptional $99,685 |
Householder Age | 45 - 64 years | Exceptional $121,444 | Exceptional $105,952 |
Householder Age | Over 65 years | Exceptional $71,139 | Good $61,598 |
Wage/Income Gap | Tragic 28.0% | Tragic 28.5% |
Burmese vs Polish Poverty
When considering poverty, the most significant differences between Burmese and Polish communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 15.7%, a difference of 18.3%), receiving food stamps (8.6% compared to 10.0%, a difference of 15.3%), and female poverty among 25-34 year olds (11.2% compared to 12.7%, a difference of 13.7%). Conversely, both communities are more comparable in terms of male poverty (9.7% compared to 9.7%, a difference of 0.33%), poverty (10.7% compared to 10.7%, a difference of 0.61%), and female poverty among 18-24 year olds (18.9% compared to 18.8%, a difference of 0.75%).
Poverty Metric | Burmese | Polish |
Poverty | Exceptional 10.7% | Exceptional 10.7% |
Families | Exceptional 7.3% | Exceptional 7.4% |
Males | Exceptional 9.7% | Exceptional 9.7% |
Females | Exceptional 11.6% | Exceptional 11.7% |
Females 18 to 24 years | Exceptional 18.9% | Exceptional 18.8% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.7% |
Children Under 5 years | Exceptional 13.2% | Exceptional 15.7% |
Children Under 16 years | Exceptional 12.8% | Exceptional 14.0% |
Boys Under 16 years | Exceptional 13.0% | Exceptional 14.4% |
Girls Under 16 years | Exceptional 13.0% | Exceptional 14.4% |
Single Males | Exceptional 11.7% | Poor 13.0% |
Single Females | Exceptional 18.3% | Exceptional 20.0% |
Single Fathers | Exceptional 15.5% | Tragic 17.3% |
Single Mothers | Exceptional 26.2% | Exceptional 28.4% |
Married Couples | Exceptional 4.3% | Exceptional 4.0% |
Seniors Over 65 years | Exceptional 10.1% | Exceptional 9.1% |
Seniors Over 75 years | Excellent 11.7% | Exceptional 10.6% |
Receiving Food Stamps | Exceptional 8.6% | Exceptional 10.0% |
Burmese vs Polish Unemployment
When considering unemployment, the most significant differences between Burmese and Polish communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 10.3%, a difference of 26.1%), unemployment among women with children under 6 years (6.5% compared to 7.9%, a difference of 21.2%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.4%, a difference of 17.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.2% compared to 4.2%, a difference of 0.26%), unemployment among women with children under 18 years (4.9% compared to 5.0%, a difference of 0.68%), and male unemployment (4.9% compared to 4.9%, a difference of 0.81%).
Unemployment Metric | Burmese | Polish |
Unemployment | Exceptional 4.9% | Exceptional 4.7% |
Males | Exceptional 4.9% | Exceptional 4.9% |
Females | Exceptional 5.0% | Exceptional 4.7% |
Youth < 25 | Excellent 11.3% | Exceptional 11.0% |
Age | 16 to 19 years | Exceptional 17.0% | Exceptional 16.4% |
Age | 20 to 24 years | Excellent 10.2% | Exceptional 10.0% |
Age | 25 to 29 years | Exceptional 6.2% | Good 6.5% |
Age | 30 to 34 years | Exceptional 5.1% | Good 5.3% |
Age | 35 to 44 years | Exceptional 4.3% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.2% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.5% | Exceptional 4.7% |
Age | 60 to 64 years | Excellent 4.8% | Exceptional 4.7% |
Age | 65 to 74 years | Exceptional 5.2% | Good 5.3% |
Seniors > 65 | Exceptional 5.0% | Excellent 5.1% |
Seniors > 75 | Exceptional 8.2% | Tragic 10.3% |
Women w/ Children < 6 | Exceptional 6.5% | Poor 7.9% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Tragic 9.4% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.0% |
Burmese vs Polish Labor Participation
When considering labor participation, the most significant differences between Burmese and Polish communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 42.1%, a difference of 22.2%), in labor force | age 20-24 (73.6% compared to 77.6%, a difference of 5.5%), and in labor force | age > 16 (66.2% compared to 64.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.6%, a difference of 0.080%), in labor force | age 20-64 (80.3% compared to 80.1%, a difference of 0.21%), and in labor force | age 30-34 (85.3% compared to 85.5%, a difference of 0.28%).
Labor Participation Metric | Burmese | Polish |
In Labor Force | Age > 16 | Exceptional 66.2% | Tragic 64.7% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 80.1% |
In Labor Force | Age 16-19 | Tragic 34.5% | Exceptional 42.1% |
In Labor Force | Age 20-24 | Tragic 73.6% | Exceptional 77.6% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Exceptional 85.8% |
In Labor Force | Age 30-34 | Exceptional 85.3% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.6% |
Burmese vs Polish Family Structure
When considering family structure, the most significant differences between Burmese and Polish communities in the United States are seen in births to unmarried women (26.4% compared to 30.8%, a difference of 16.8%), divorced or separated (10.7% compared to 11.9%, a difference of 11.3%), and single father households (2.0% compared to 2.2%, a difference of 8.0%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.9%, a difference of 0.10%), married-couple households (49.8% compared to 48.5%, a difference of 2.6%), and family households (65.7% compared to 64.0%, a difference of 2.8%).
Family Structure Metric | Burmese | Polish |
Family Households | Exceptional 65.7% | Poor 64.0% |
Family Households with Children | Exceptional 28.5% | Tragic 26.5% |
Married-couple Households | Exceptional 49.8% | Exceptional 48.5% |
Average Family Size | Fair 3.22 | Tragic 3.09 |
Single Father Households | Exceptional 2.0% | Exceptional 2.2% |
Single Mother Households | Exceptional 5.3% | Exceptional 5.6% |
Currently Married | Exceptional 48.9% | Exceptional 48.9% |
Divorced or Separated | Exceptional 10.7% | Good 11.9% |
Births to Unmarried Women | Exceptional 26.4% | Good 30.8% |
Burmese vs Polish Vehicle Availability
When considering vehicle availability, the most significant differences between Burmese and Polish communities in the United States are seen in no vehicles in household (9.7% compared to 8.4%, a difference of 14.7%), 4 or more vehicles in household (6.8% compared to 6.4%, a difference of 7.1%), and 3 or more vehicles in household (20.6% compared to 20.2%, a difference of 2.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.3%, a difference of 0.86%), 1 or more vehicles in household (90.4% compared to 91.7%, a difference of 1.4%), and 3 or more vehicles in household (20.6% compared to 20.2%, a difference of 2.2%).
Vehicle Availability Metric | Burmese | Polish |
No Vehicles Available | Excellent 9.7% | Exceptional 8.4% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 91.7% |
2+ Vehicles Available | Exceptional 57.8% | Exceptional 58.3% |
3+ Vehicles Available | Exceptional 20.6% | Excellent 20.2% |
4+ Vehicles Available | Exceptional 6.8% | Average 6.4% |
Burmese vs Polish Education Level
When considering education level, the most significant differences between Burmese and Polish communities in the United States are seen in doctorate degree (2.6% compared to 1.9%, a difference of 38.4%), no schooling completed (1.9% compared to 1.4%, a difference of 35.6%), and professional degree (6.1% compared to 4.6%, a difference of 34.6%). Conversely, both communities are more comparable in terms of ged/equivalency (88.3% compared to 88.5%, a difference of 0.21%), nursery school (98.1% compared to 98.6%, a difference of 0.54%), and kindergarten (98.1% compared to 98.6%, a difference of 0.55%).
Education Level Metric | Burmese | Polish |
No Schooling Completed | Excellent 1.9% | Exceptional 1.4% |
Nursery School | Excellent 98.1% | Exceptional 98.6% |
Kindergarten | Excellent 98.1% | Exceptional 98.6% |
1st Grade | Excellent 98.0% | Exceptional 98.6% |
2nd Grade | Excellent 98.0% | Exceptional 98.5% |
3rd Grade | Good 97.9% | Exceptional 98.5% |
4th Grade | Excellent 97.7% | Exceptional 98.4% |
5th Grade | Excellent 97.5% | Exceptional 98.3% |
6th Grade | Excellent 97.3% | Exceptional 98.1% |
7th Grade | Excellent 96.3% | Exceptional 97.6% |
8th Grade | Exceptional 96.1% | Exceptional 97.4% |
9th Grade | Exceptional 95.4% | Exceptional 96.7% |
10th Grade | Exceptional 94.5% | Exceptional 95.8% |
11th Grade | Exceptional 93.6% | Exceptional 94.8% |
12th Grade, No Diploma | Exceptional 92.6% | Exceptional 93.5% |
High School Diploma | Exceptional 90.8% | Exceptional 91.9% |
GED/Equivalency | Exceptional 88.3% | Exceptional 88.5% |
College, Under 1 year | Exceptional 71.9% | Excellent 66.9% |
College, 1 year or more | Exceptional 66.7% | Excellent 60.7% |
Associate's Degree | Exceptional 54.6% | Excellent 48.0% |
Bachelor's Degree | Exceptional 46.9% | Good 39.1% |
Master's Degree | Exceptional 19.7% | Excellent 15.7% |
Professional Degree | Exceptional 6.1% | Good 4.6% |
Doctorate Degree | Exceptional 2.6% | Good 1.9% |
Burmese vs Polish Disability
When considering disability, the most significant differences between Burmese and Polish communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 41.7%), disability age 5 to 17 (4.8% compared to 5.9%, a difference of 23.2%), and disability age 35 to 64 (9.2% compared to 11.3%, a difference of 23.2%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 45.3%, a difference of 1.2%), cognitive disability (16.7% compared to 16.4%, a difference of 1.7%), and self-care disability (2.3% compared to 2.4%, a difference of 6.5%).
Disability Metric | Burmese | Polish |
Disability | Exceptional 10.4% | Tragic 12.2% |
Males | Exceptional 10.0% | Tragic 12.0% |
Females | Exceptional 10.7% | Tragic 12.5% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.6% |
Age | 5 to 17 years | Exceptional 4.8% | Tragic 5.9% |
Age | 18 to 34 years | Exceptional 6.0% | Tragic 7.2% |
Age | 35 to 64 years | Exceptional 9.2% | Average 11.3% |
Age | 65 to 74 years | Exceptional 20.6% | Exceptional 22.0% |
Age | Over 75 years | Exceptional 45.9% | Exceptional 45.3% |
Vision | Exceptional 1.8% | Exceptional 2.1% |
Hearing | Exceptional 2.8% | Tragic 3.4% |
Cognitive | Exceptional 16.7% | Exceptional 16.4% |
Ambulatory | Exceptional 5.3% | Fair 6.2% |
Self-Care | Exceptional 2.3% | Excellent 2.4% |