Indian (Asian) vs German Community Comparison
COMPARE
Indian (Asian)
German
Social Comparison
Social Comparison
Indians (Asian)
Germans
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
6,819
SOCIAL INDEX
65.7/ 100
SOCIAL RATING
140th/ 347
SOCIAL RANK
German Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 494,785,790 people shows a very strong negative correlation between the proportion of Germans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.811. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.177% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 176.9 Germans.
Indian (Asian) vs German Income
When considering income, the most significant differences between Indian (Asian) and German communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $93,531, a difference of 27.8%), median household income ($105,262 compared to $83,358, a difference of 26.3%), and per capita income ($53,874 compared to $43,067, a difference of 25.1%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 29.2%, a difference of 10.3%), householder income under 25 years ($58,239 compared to $50,804, a difference of 14.6%), and householder income over 65 years ($70,238 compared to $59,730, a difference of 17.6%).
Income Metric | Indian (Asian) | German |
Per Capita Income | Exceptional $53,874 | Fair $43,067 |
Median Family Income | Exceptional $125,312 | Average $102,254 |
Median Household Income | Exceptional $105,262 | Fair $83,358 |
Median Earnings | Exceptional $56,253 | Fair $45,935 |
Median Male Earnings | Exceptional $66,078 | Good $54,974 |
Median Female Earnings | Exceptional $46,481 | Tragic $37,986 |
Householder Age | Under 25 years | Exceptional $58,239 | Tragic $50,804 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Fair $93,531 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Average $100,224 |
Householder Age | Over 65 years | Exceptional $70,238 | Fair $59,730 |
Wage/Income Gap | Poor 26.4% | Tragic 29.2% |
Indian (Asian) vs German Poverty
When considering poverty, the most significant differences between Indian (Asian) and German communities in the United States are seen in seniors poverty over the age of 65 (11.1% compared to 9.0%, a difference of 24.0%), single male poverty (11.3% compared to 13.9%, a difference of 23.8%), and seniors poverty over the age of 75 (12.7% compared to 10.4%, a difference of 23.1%). Conversely, both communities are more comparable in terms of female poverty (12.2% compared to 12.2%, a difference of 0.030%), family poverty (7.7% compared to 7.7%, a difference of 0.70%), and receiving food stamps (9.6% compared to 9.7%, a difference of 1.2%).
Poverty Metric | Indian (Asian) | German |
Poverty | Exceptional 11.3% | Exceptional 11.1% |
Families | Exceptional 7.7% | Exceptional 7.7% |
Males | Exceptional 10.4% | Exceptional 10.1% |
Females | Exceptional 12.2% | Exceptional 12.2% |
Females 18 to 24 years | Excellent 19.6% | Fair 20.4% |
Females 25 to 34 years | Exceptional 11.2% | Average 13.6% |
Children Under 5 years | Exceptional 13.4% | Excellent 16.5% |
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 14.9% |
Single Males | Exceptional 11.3% | Tragic 13.9% |
Single Females | Exceptional 17.9% | Tragic 21.8% |
Single Fathers | Exceptional 14.8% | Tragic 17.7% |
Single Mothers | Exceptional 25.8% | Tragic 30.0% |
Married Couples | Exceptional 4.8% | Exceptional 4.0% |
Seniors Over 65 years | Fair 11.1% | Exceptional 9.0% |
Seniors Over 75 years | Tragic 12.7% | Exceptional 10.4% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 9.7% |
Indian (Asian) vs German Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and German communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 10.3%, a difference of 28.7%), unemployment among women with children under 6 years (6.3% compared to 8.0%, a difference of 26.6%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.2%, a difference of 19.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.92%), unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 2.2%), and unemployment among ages 25 to 29 years (6.3% compared to 6.5%, a difference of 3.2%).
Unemployment Metric | Indian (Asian) | German |
Unemployment | Excellent 5.1% | Exceptional 4.5% |
Males | Good 5.2% | Exceptional 4.7% |
Females | Excellent 5.1% | Exceptional 4.5% |
Youth < 25 | Good 11.5% | Exceptional 10.5% |
Age | 16 to 19 years | Good 17.3% | Exceptional 15.7% |
Age | 20 to 24 years | Good 10.3% | Exceptional 9.6% |
Age | 25 to 29 years | Exceptional 6.3% | Excellent 6.5% |
Age | 30 to 34 years | Exceptional 5.1% | Good 5.3% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.1% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.5% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.5% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.1% |
Seniors > 65 | Average 5.2% | Exceptional 4.9% |
Seniors > 75 | Exceptional 8.0% | Tragic 10.3% |
Women w/ Children < 6 | Exceptional 6.3% | Tragic 8.0% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Tragic 9.2% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 4.9% |
Indian (Asian) vs German Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and German communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 44.2%, a difference of 38.6%), in labor force | age 20-24 (71.9% compared to 78.6%, a difference of 9.3%), and in labor force | age > 16 (65.5% compared to 64.4%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.14%), in labor force | age 20-64 (79.9% compared to 79.7%, a difference of 0.27%), and in labor force | age 45-54 (83.3% compared to 83.1%, a difference of 0.29%).
Labor Participation Metric | Indian (Asian) | German |
In Labor Force | Age > 16 | Excellent 65.5% | Tragic 64.4% |
In Labor Force | Age 20-64 | Excellent 79.9% | Good 79.7% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 44.2% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 78.6% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.3% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Good 84.8% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Excellent 83.1% |
Indian (Asian) vs German Family Structure
When considering family structure, the most significant differences between Indian (Asian) and German communities in the United States are seen in births to unmarried women (25.3% compared to 32.0%, a difference of 26.6%), single father households (1.9% compared to 2.4%, a difference of 24.8%), and divorced or separated (10.2% compared to 12.5%, a difference of 22.3%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 49.2%, a difference of 0.94%), family households (65.1% compared to 64.4%, a difference of 1.1%), and family households with children (27.6% compared to 27.1%, a difference of 1.8%).
Family Structure Metric | Indian (Asian) | German |
Family Households | Exceptional 65.1% | Good 64.4% |
Family Households with Children | Good 27.6% | Tragic 27.1% |
Married-couple Households | Exceptional 48.7% | Exceptional 49.2% |
Average Family Size | Good 3.24 | Tragic 3.09 |
Single Father Households | Exceptional 1.9% | Fair 2.4% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.8% |
Currently Married | Exceptional 48.0% | Exceptional 49.6% |
Divorced or Separated | Exceptional 10.2% | Tragic 12.5% |
Births to Unmarried Women | Exceptional 25.3% | Fair 32.0% |
Indian (Asian) vs German Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and German communities in the United States are seen in no vehicles in household (14.1% compared to 6.7%, a difference of 110.7%), 3 or more vehicles in household (19.1% compared to 22.7%, a difference of 19.0%), and 2 or more vehicles in household (53.1% compared to 61.6%, a difference of 16.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 93.6%, a difference of 8.8%), 4 or more vehicles in household (6.4% compared to 7.5%, a difference of 15.8%), and 2 or more vehicles in household (53.1% compared to 61.6%, a difference of 16.0%).
Vehicle Availability Metric | Indian (Asian) | German |
No Vehicles Available | Tragic 14.1% | Exceptional 6.7% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 93.6% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 61.6% |
3+ Vehicles Available | Fair 19.1% | Exceptional 22.7% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.5% |
Indian (Asian) vs German Education Level
When considering education level, the most significant differences between Indian (Asian) and German communities in the United States are seen in no schooling completed (2.5% compared to 1.4%, a difference of 82.5%), doctorate degree (2.9% compared to 1.8%, a difference of 63.2%), and professional degree (6.5% compared to 4.1%, a difference of 59.8%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.9%, a difference of 0.87%), nursery school (97.6% compared to 98.7%, a difference of 1.1%), and kindergarten (97.6% compared to 98.7%, a difference of 1.1%).
Education Level Metric | Indian (Asian) | German |
No Schooling Completed | Tragic 2.5% | Exceptional 1.4% |
Nursery School | Tragic 97.6% | Exceptional 98.7% |
Kindergarten | Tragic 97.6% | Exceptional 98.7% |
1st Grade | Tragic 97.5% | Exceptional 98.7% |
2nd Grade | Tragic 97.5% | Exceptional 98.7% |
3rd Grade | Tragic 97.4% | Exceptional 98.6% |
4th Grade | Tragic 97.2% | Exceptional 98.5% |
5th Grade | Tragic 96.9% | Exceptional 98.4% |
6th Grade | Tragic 96.6% | Exceptional 98.2% |
7th Grade | Tragic 95.5% | Exceptional 97.7% |
8th Grade | Tragic 95.2% | Exceptional 97.5% |
9th Grade | Tragic 94.5% | Exceptional 96.7% |
10th Grade | Poor 93.4% | Exceptional 95.8% |
11th Grade | Average 92.5% | Exceptional 94.7% |
12th Grade, No Diploma | Good 91.5% | Exceptional 93.3% |
High School Diploma | Good 89.6% | Exceptional 91.7% |
GED/Equivalency | Exceptional 87.1% | Exceptional 87.9% |
College, Under 1 year | Exceptional 70.8% | Average 65.6% |
College, 1 year or more | Exceptional 66.1% | Fair 58.9% |
Associate's Degree | Exceptional 54.8% | Fair 45.5% |
Bachelor's Degree | Exceptional 47.4% | Poor 36.1% |
Master's Degree | Exceptional 20.5% | Poor 14.0% |
Professional Degree | Exceptional 6.5% | Poor 4.1% |
Doctorate Degree | Exceptional 2.9% | Fair 1.8% |
Indian (Asian) vs German Disability
When considering disability, the most significant differences between Indian (Asian) and German communities in the United States are seen in disability age under 5 (1.0% compared to 1.7%, a difference of 71.7%), disability age 18 to 34 (5.5% compared to 7.7%, a difference of 39.3%), and disability age 35 to 64 (8.9% compared to 12.3%, a difference of 38.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.3%, a difference of 0.50%), cognitive disability (16.8% compared to 16.7%, a difference of 1.1%), and self-care disability (2.3% compared to 2.4%, a difference of 3.7%).
Disability Metric | Indian (Asian) | German |
Disability | Exceptional 10.3% | Tragic 12.8% |
Males | Exceptional 9.7% | Tragic 12.7% |
Females | Exceptional 10.8% | Tragic 12.9% |
Age | Under 5 years | Exceptional 1.0% | Tragic 1.7% |
Age | 5 to 17 years | Exceptional 4.6% | Tragic 6.1% |
Age | 18 to 34 years | Exceptional 5.5% | Tragic 7.7% |
Age | 35 to 64 years | Exceptional 8.9% | Tragic 12.3% |
Age | 65 to 74 years | Exceptional 20.5% | Average 23.3% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 46.3% |
Vision | Exceptional 1.8% | Poor 2.2% |
Hearing | Exceptional 2.7% | Tragic 3.7% |
Cognitive | Exceptional 16.8% | Exceptional 16.7% |
Ambulatory | Exceptional 5.4% | Tragic 6.5% |
Self-Care | Exceptional 2.3% | Excellent 2.4% |