Indian (Asian) vs Polish Community Comparison
COMPARE
Indian (Asian)
Polish
Social Comparison
Social Comparison
Indians (Asian)
Poles
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK
Polish Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 488,563,731 people shows a significant negative correlation between the proportion of Poles within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.646. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.040% in Poles. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 39.6 Poles.
Indian (Asian) vs Polish Income
When considering income, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $99,685, a difference of 19.9%), median household income ($105,262 compared to $88,472, a difference of 19.0%), and per capita income ($53,874 compared to $46,123, a difference of 16.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 28.5%, a difference of 7.9%), householder income under 25 years ($58,239 compared to $52,407, a difference of 11.1%), and median male earnings ($66,078 compared to $58,139, a difference of 13.7%).
Income Metric | Indian (Asian) | Polish |
Per Capita Income | Exceptional $53,874 | Exceptional $46,123 |
Median Family Income | Exceptional $125,312 | Exceptional $108,507 |
Median Household Income | Exceptional $105,262 | Excellent $88,472 |
Median Earnings | Exceptional $56,253 | Exceptional $48,659 |
Median Male Earnings | Exceptional $66,078 | Exceptional $58,139 |
Median Female Earnings | Exceptional $46,481 | Excellent $40,371 |
Householder Age | Under 25 years | Exceptional $58,239 | Good $52,407 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $99,685 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $105,952 |
Householder Age | Over 65 years | Exceptional $70,238 | Good $61,598 |
Wage/Income Gap | Poor 26.4% | Tragic 28.5% |
Indian (Asian) vs Polish Poverty
When considering poverty, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in seniors poverty over the age of 65 (11.1% compared to 9.1%, a difference of 21.5%), seniors poverty over the age of 75 (12.7% compared to 10.6%, a difference of 20.3%), and married-couple family poverty (4.8% compared to 4.0%, a difference of 19.8%). Conversely, both communities are more comparable in terms of receiving food stamps (9.6% compared to 10.0%, a difference of 3.6%), family poverty (7.7% compared to 7.4%, a difference of 3.7%), and female poverty (12.2% compared to 11.7%, a difference of 4.0%).
Poverty Metric | Indian (Asian) | Polish |
Poverty | Exceptional 11.3% | Exceptional 10.7% |
Families | Exceptional 7.7% | Exceptional 7.4% |
Males | Exceptional 10.4% | Exceptional 9.7% |
Females | Exceptional 12.2% | Exceptional 11.7% |
Females 18 to 24 years | Excellent 19.6% | Exceptional 18.8% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.7% |
Children Under 5 years | Exceptional 13.4% | Exceptional 15.7% |
Children Under 16 years | Exceptional 13.1% | Exceptional 14.0% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 14.4% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 14.4% |
Single Males | Exceptional 11.3% | Poor 13.0% |
Single Females | Exceptional 17.9% | Exceptional 20.0% |
Single Fathers | Exceptional 14.8% | Tragic 17.3% |
Single Mothers | Exceptional 25.8% | Exceptional 28.4% |
Married Couples | Exceptional 4.8% | Exceptional 4.0% |
Seniors Over 65 years | Fair 11.1% | Exceptional 9.1% |
Seniors Over 75 years | Tragic 12.7% | Exceptional 10.6% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 10.0% |
Indian (Asian) vs Polish Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 10.3%, a difference of 29.5%), unemployment among women with children under 6 years (6.3% compared to 7.9%, a difference of 24.7%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.4%, a difference of 21.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.20%), unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.47%), and unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.3%).
Unemployment Metric | Indian (Asian) | Polish |
Unemployment | Excellent 5.1% | Exceptional 4.7% |
Males | Good 5.2% | Exceptional 4.9% |
Females | Excellent 5.1% | Exceptional 4.7% |
Youth < 25 | Good 11.5% | Exceptional 11.0% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.4% |
Age | 20 to 24 years | Good 10.3% | Exceptional 10.0% |
Age | 25 to 29 years | Exceptional 6.3% | Good 6.5% |
Age | 30 to 34 years | Exceptional 5.1% | Good 5.3% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.2% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.7% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.7% |
Age | 65 to 74 years | Average 5.3% | Good 5.3% |
Seniors > 65 | Average 5.2% | Excellent 5.1% |
Seniors > 75 | Exceptional 8.0% | Tragic 10.3% |
Women w/ Children < 6 | Exceptional 6.3% | Poor 7.9% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Tragic 9.4% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.0% |
Indian (Asian) vs Polish Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 42.1%, a difference of 32.2%), in labor force | age 20-24 (71.9% compared to 77.6%, a difference of 8.0%), and in labor force | age > 16 (65.5% compared to 64.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.5%, a difference of 0.14%), in labor force | age 20-64 (79.9% compared to 80.1%, a difference of 0.29%), and in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.29%).
Labor Participation Metric | Indian (Asian) | Polish |
In Labor Force | Age > 16 | Excellent 65.5% | Tragic 64.7% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.1% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 42.1% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 77.6% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.8% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.6% |
Indian (Asian) vs Polish Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in births to unmarried women (25.3% compared to 30.8%, a difference of 21.9%), divorced or separated (10.2% compared to 11.9%, a difference of 16.9%), and single father households (1.9% compared to 2.2%, a difference of 15.2%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.5%, a difference of 0.33%), family households (65.1% compared to 64.0%, a difference of 1.8%), and currently married (48.0% compared to 48.9%, a difference of 1.9%).
Family Structure Metric | Indian (Asian) | Polish |
Family Households | Exceptional 65.1% | Poor 64.0% |
Family Households with Children | Good 27.6% | Tragic 26.5% |
Married-couple Households | Exceptional 48.7% | Exceptional 48.5% |
Average Family Size | Good 3.24 | Tragic 3.09 |
Single Father Households | Exceptional 1.9% | Exceptional 2.2% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.6% |
Currently Married | Exceptional 48.0% | Exceptional 48.9% |
Divorced or Separated | Exceptional 10.2% | Good 11.9% |
Births to Unmarried Women | Exceptional 25.3% | Good 30.8% |
Indian (Asian) vs Polish Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in no vehicles in household (14.1% compared to 8.4%, a difference of 66.7%), 2 or more vehicles in household (53.1% compared to 58.3%, a difference of 9.8%), and 1 or more vehicles in household (86.0% compared to 91.7%, a difference of 6.6%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.4%, a difference of 1.0%), 3 or more vehicles in household (19.1% compared to 20.2%, a difference of 5.7%), and 1 or more vehicles in household (86.0% compared to 91.7%, a difference of 6.6%).
Vehicle Availability Metric | Indian (Asian) | Polish |
No Vehicles Available | Tragic 14.1% | Exceptional 8.4% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 91.7% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 58.3% |
3+ Vehicles Available | Fair 19.1% | Excellent 20.2% |
4+ Vehicles Available | Good 6.4% | Average 6.4% |
Indian (Asian) vs Polish Education Level
When considering education level, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in no schooling completed (2.5% compared to 1.4%, a difference of 72.1%), doctorate degree (2.9% compared to 1.9%, a difference of 52.8%), and professional degree (6.5% compared to 4.6%, a difference of 42.9%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 1.0%), kindergarten (97.6% compared to 98.6%, a difference of 1.0%), and 1st grade (97.5% compared to 98.6%, a difference of 1.1%).
Education Level Metric | Indian (Asian) | Polish |
No Schooling Completed | Tragic 2.5% | Exceptional 1.4% |
Nursery School | Tragic 97.6% | Exceptional 98.6% |
Kindergarten | Tragic 97.6% | Exceptional 98.6% |
1st Grade | Tragic 97.5% | Exceptional 98.6% |
2nd Grade | Tragic 97.5% | Exceptional 98.5% |
3rd Grade | Tragic 97.4% | Exceptional 98.5% |
4th Grade | Tragic 97.2% | Exceptional 98.4% |
5th Grade | Tragic 96.9% | Exceptional 98.3% |
6th Grade | Tragic 96.6% | Exceptional 98.1% |
7th Grade | Tragic 95.5% | Exceptional 97.6% |
8th Grade | Tragic 95.2% | Exceptional 97.4% |
9th Grade | Tragic 94.5% | Exceptional 96.7% |
10th Grade | Poor 93.4% | Exceptional 95.8% |
11th Grade | Average 92.5% | Exceptional 94.8% |
12th Grade, No Diploma | Good 91.5% | Exceptional 93.5% |
High School Diploma | Good 89.6% | Exceptional 91.9% |
GED/Equivalency | Exceptional 87.1% | Exceptional 88.5% |
College, Under 1 year | Exceptional 70.8% | Excellent 66.9% |
College, 1 year or more | Exceptional 66.1% | Excellent 60.7% |
Associate's Degree | Exceptional 54.8% | Excellent 48.0% |
Bachelor's Degree | Exceptional 47.4% | Good 39.1% |
Master's Degree | Exceptional 20.5% | Excellent 15.7% |
Professional Degree | Exceptional 6.5% | Good 4.6% |
Doctorate Degree | Exceptional 2.9% | Good 1.9% |
Indian (Asian) vs Polish Disability
When considering disability, the most significant differences between Indian (Asian) and Polish communities in the United States are seen in disability age under 5 (1.0% compared to 1.6%, a difference of 58.8%), disability age 18 to 34 (5.5% compared to 7.2%, a difference of 29.5%), and disability age 5 to 17 (4.6% compared to 5.9%, a difference of 28.9%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 45.3%, a difference of 2.6%), cognitive disability (16.8% compared to 16.4%, a difference of 2.8%), and self-care disability (2.3% compared to 2.4%, a difference of 2.8%).
Disability Metric | Indian (Asian) | Polish |
Disability | Exceptional 10.3% | Tragic 12.2% |
Males | Exceptional 9.7% | Tragic 12.0% |
Females | Exceptional 10.8% | Tragic 12.5% |
Age | Under 5 years | Exceptional 1.0% | Tragic 1.6% |
Age | 5 to 17 years | Exceptional 4.6% | Tragic 5.9% |
Age | 18 to 34 years | Exceptional 5.5% | Tragic 7.2% |
Age | 35 to 64 years | Exceptional 8.9% | Average 11.3% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 22.0% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 45.3% |
Vision | Exceptional 1.8% | Exceptional 2.1% |
Hearing | Exceptional 2.7% | Tragic 3.4% |
Cognitive | Exceptional 16.8% | Exceptional 16.4% |
Ambulatory | Exceptional 5.4% | Fair 6.2% |
Self-Care | Exceptional 2.3% | Excellent 2.4% |