Indian (Asian) vs Northern European Community Comparison
COMPARE
Indian (Asian)
Northern European
Social Comparison
Social Comparison
Indians (Asian)
Northern Europeans
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
8,451
SOCIAL INDEX
82.0/ 100
SOCIAL RATING
71st/ 347
SOCIAL RANK
Northern European Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 382,404,200 people shows a weak negative correlation between the proportion of Northern Europeans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.270. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Northern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 2.5 Northern Europeans.
Indian (Asian) vs Northern European Income
When considering income, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $100,457, a difference of 19.0%), median household income ($105,262 compared to $90,446, a difference of 16.4%), and median earnings ($56,253 compared to $48,887, a difference of 15.1%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 28.3%, a difference of 6.9%), householder income over 65 years ($70,238 compared to $64,658, a difference of 8.6%), and householder income under 25 years ($58,239 compared to $51,678, a difference of 12.7%).
Income Metric | Indian (Asian) | Northern European |
Per Capita Income | Exceptional $53,874 | Exceptional $47,698 |
Median Family Income | Exceptional $125,312 | Exceptional $110,635 |
Median Household Income | Exceptional $105,262 | Exceptional $90,446 |
Median Earnings | Exceptional $56,253 | Exceptional $48,887 |
Median Male Earnings | Exceptional $66,078 | Exceptional $58,588 |
Median Female Earnings | Exceptional $46,481 | Excellent $40,491 |
Householder Age | Under 25 years | Exceptional $58,239 | Fair $51,678 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $100,457 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $107,870 |
Householder Age | Over 65 years | Exceptional $70,238 | Exceptional $64,658 |
Wage/Income Gap | Poor 26.4% | Tragic 28.3% |
Indian (Asian) vs Northern European Poverty
When considering poverty, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in seniors poverty over the age of 75 (12.7% compared to 10.7%, a difference of 19.3%), child poverty under the age of 5 (13.4% compared to 16.0%, a difference of 18.8%), and female poverty among 25-34 year olds (11.2% compared to 13.2%, a difference of 18.5%). Conversely, both communities are more comparable in terms of male poverty (10.4% compared to 10.4%, a difference of 0.17%), poverty (11.3% compared to 11.4%, a difference of 0.48%), and family poverty (7.7% compared to 7.8%, a difference of 1.4%).
Poverty Metric | Indian (Asian) | Northern European |
Poverty | Exceptional 11.3% | Exceptional 11.4% |
Families | Exceptional 7.7% | Exceptional 7.8% |
Males | Exceptional 10.4% | Exceptional 10.4% |
Females | Exceptional 12.2% | Exceptional 12.4% |
Females 18 to 24 years | Excellent 19.6% | Poor 20.6% |
Females 25 to 34 years | Exceptional 11.2% | Good 13.2% |
Children Under 5 years | Exceptional 13.4% | Exceptional 16.0% |
Children Under 16 years | Exceptional 13.1% | Exceptional 14.5% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 14.8% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 14.8% |
Single Males | Exceptional 11.3% | Poor 13.0% |
Single Females | Exceptional 17.9% | Good 20.8% |
Single Fathers | Exceptional 14.8% | Average 16.3% |
Single Mothers | Exceptional 25.8% | Excellent 28.6% |
Married Couples | Exceptional 4.8% | Exceptional 4.3% |
Seniors Over 65 years | Fair 11.1% | Exceptional 9.4% |
Seniors Over 75 years | Tragic 12.7% | Exceptional 10.7% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 9.8% |
Indian (Asian) vs Northern European Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 19.3%), unemployment among seniors over 75 years (8.0% compared to 9.1%, a difference of 14.1%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.8%, a difference of 13.3%). 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 0.26%), unemployment among ages 20 to 24 years (10.3% compared to 10.1%, a difference of 1.9%), and unemployment among women with children under 18 years (4.9% compared to 5.0%, a difference of 2.6%).
Unemployment Metric | Indian (Asian) | Northern European |
Unemployment | Excellent 5.1% | Exceptional 4.8% |
Males | Good 5.2% | Exceptional 4.9% |
Females | Excellent 5.1% | Exceptional 4.8% |
Youth < 25 | Good 11.5% | Exceptional 11.2% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.6% |
Age | 20 to 24 years | Good 10.3% | Exceptional 10.1% |
Age | 25 to 29 years | Exceptional 6.3% | Good 6.5% |
Age | 30 to 34 years | Exceptional 5.1% | Excellent 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 4.5% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.6% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.2% |
Seniors > 65 | Average 5.2% | Exceptional 4.9% |
Seniors > 75 | Exceptional 8.0% | Tragic 9.1% |
Women w/ Children < 6 | Exceptional 6.3% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Excellent 8.8% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.0% |
Indian (Asian) vs Northern European Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 40.2%, a difference of 26.2%), in labor force | age 20-24 (71.9% compared to 76.8%, a difference of 6.8%), 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 25-29 (84.7% compared to 84.9%, a difference of 0.18%), in labor force | age 20-64 (79.9% compared to 79.5%, a difference of 0.52%), and in labor force | age 35-44 (84.8% compared to 84.3%, a difference of 0.55%).
Labor Participation Metric | Indian (Asian) | Northern European |
In Labor Force | Age > 16 | Excellent 65.5% | Tragic 64.7% |
In Labor Force | Age 20-64 | Excellent 79.9% | Fair 79.5% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 40.2% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 76.8% |
In Labor Force | Age 25-29 | Good 84.7% | Excellent 84.9% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Good 84.8% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Average 84.3% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Average 82.7% |
Indian (Asian) vs Northern European Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in births to unmarried women (25.3% compared to 30.6%, a difference of 21.0%), divorced or separated (10.2% compared to 12.2%, a difference of 20.0%), and single father households (1.9% compared to 2.2%, a difference of 17.7%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.4%, a difference of 0.55%), currently married (48.0% compared to 48.7%, a difference of 1.5%), and family households with children (27.6% compared to 27.2%, a difference of 1.6%).
Family Structure Metric | Indian (Asian) | Northern European |
Family Households | Exceptional 65.1% | Fair 64.1% |
Family Households with Children | Good 27.6% | Poor 27.2% |
Married-couple Households | Exceptional 48.7% | Exceptional 48.4% |
Average Family Size | Good 3.24 | Tragic 3.13 |
Single Father Households | Exceptional 1.9% | Excellent 2.2% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.8% |
Currently Married | Exceptional 48.0% | Exceptional 48.7% |
Divorced or Separated | Exceptional 10.2% | Poor 12.2% |
Births to Unmarried Women | Exceptional 25.3% | Excellent 30.6% |
Indian (Asian) vs Northern European Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in no vehicles in household (14.1% compared to 7.9%, a difference of 77.3%), 3 or more vehicles in household (19.1% compared to 22.0%, a difference of 15.1%), and 4 or more vehicles in household (6.4% compared to 7.3%, a difference of 13.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 92.2%, a difference of 7.1%), 2 or more vehicles in household (53.1% compared to 59.9%, a difference of 12.7%), and 4 or more vehicles in household (6.4% compared to 7.3%, a difference of 13.2%).
Vehicle Availability Metric | Indian (Asian) | Northern European |
No Vehicles Available | Tragic 14.1% | Exceptional 7.9% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 92.2% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 59.9% |
3+ Vehicles Available | Fair 19.1% | Exceptional 22.0% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.3% |
Indian (Asian) vs Northern European Education Level
When considering education level, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in no schooling completed (2.5% compared to 1.6%, a difference of 56.7%), doctorate degree (2.9% compared to 2.2%, a difference of 30.3%), and professional degree (6.5% compared to 5.2%, a difference of 25.2%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.5%, a difference of 0.88%), kindergarten (97.6% compared to 98.5%, a difference of 0.89%), and ged/equivalency (87.1% compared to 87.9%, a difference of 0.91%).
Education Level Metric | Indian (Asian) | Northern European |
No Schooling Completed | Tragic 2.5% | Exceptional 1.6% |
Nursery School | Tragic 97.6% | Exceptional 98.5% |
Kindergarten | Tragic 97.6% | Exceptional 98.5% |
1st Grade | Tragic 97.5% | Exceptional 98.5% |
2nd Grade | Tragic 97.5% | Exceptional 98.4% |
3rd Grade | Tragic 97.4% | Exceptional 98.3% |
4th Grade | Tragic 97.2% | Exceptional 98.2% |
5th Grade | Tragic 96.9% | Exceptional 98.0% |
6th Grade | Tragic 96.6% | Exceptional 97.8% |
7th Grade | Tragic 95.5% | Exceptional 97.1% |
8th Grade | Tragic 95.2% | Exceptional 96.9% |
9th Grade | Tragic 94.5% | Exceptional 96.2% |
10th Grade | Poor 93.4% | Exceptional 95.3% |
11th Grade | Average 92.5% | Exceptional 94.2% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.9% |
High School Diploma | Good 89.6% | Exceptional 91.3% |
GED/Equivalency | Exceptional 87.1% | Exceptional 87.9% |
College, Under 1 year | Exceptional 70.8% | Exceptional 69.0% |
College, 1 year or more | Exceptional 66.1% | Exceptional 62.9% |
Associate's Degree | Exceptional 54.8% | Exceptional 49.5% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 41.0% |
Master's Degree | Exceptional 20.5% | Exceptional 16.7% |
Professional Degree | Exceptional 6.5% | Exceptional 5.2% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.2% |
Indian (Asian) vs Northern European Disability
When considering disability, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in disability age under 5 (1.0% compared to 1.6%, a difference of 54.8%), disability age 18 to 34 (5.5% compared to 7.3%, a difference of 31.6%), and disability age 35 to 64 (8.9% compared to 11.4%, a difference of 28.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.8%, a difference of 0.20%), disability age over 75 (46.5% compared to 46.3%, a difference of 0.56%), and self-care disability (2.3% compared to 2.4%, a difference of 2.2%).
Disability Metric | Indian (Asian) | Northern European |
Disability | Exceptional 10.3% | Tragic 12.1% |
Males | Exceptional 9.7% | Tragic 11.9% |
Females | Exceptional 10.8% | Fair 12.3% |
Age | Under 5 years | Exceptional 1.0% | Tragic 1.6% |
Age | 5 to 17 years | Exceptional 4.6% | Poor 5.7% |
Age | 18 to 34 years | Exceptional 5.5% | Tragic 7.3% |
Age | 35 to 64 years | Exceptional 8.9% | Fair 11.4% |
Age | 65 to 74 years | Exceptional 20.5% | Excellent 22.6% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 46.3% |
Vision | Exceptional 1.8% | Average 2.2% |
Hearing | Exceptional 2.7% | Tragic 3.4% |
Cognitive | Exceptional 16.8% | Exceptional 16.8% |
Ambulatory | Exceptional 5.4% | Good 6.0% |
Self-Care | Exceptional 2.3% | Exceptional 2.4% |