Indian (Asian) vs Chippewa Community Comparison
COMPARE
Indian (Asian)
Chippewa
Social Comparison
Social Comparison
Indians (Asian)
Chippewa
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK
Chippewa Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 204,029,683 people shows a slight negative correlation between the proportion of Chippewa within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.096. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.000% in Chippewa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.4 Chippewa.
Indian (Asian) vs Chippewa Income
When considering income, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $80,005, a difference of 49.4%), median household income ($105,262 compared to $70,539, a difference of 49.2%), and per capita income ($53,874 compared to $36,631, a difference of 47.1%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 25.0%, a difference of 5.9%), householder income under 25 years ($58,239 compared to $47,015, a difference of 23.9%), and householder income over 65 years ($70,238 compared to $53,847, a difference of 30.4%).
Income Metric | Indian (Asian) | Chippewa |
Per Capita Income | Exceptional $53,874 | Tragic $36,631 |
Median Family Income | Exceptional $125,312 | Tragic $86,852 |
Median Household Income | Exceptional $105,262 | Tragic $70,539 |
Median Earnings | Exceptional $56,253 | Tragic $40,287 |
Median Male Earnings | Exceptional $66,078 | Tragic $46,368 |
Median Female Earnings | Exceptional $46,481 | Tragic $35,003 |
Householder Age | Under 25 years | Exceptional $58,239 | Tragic $47,015 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Tragic $80,005 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Tragic $83,943 |
Householder Age | Over 65 years | Exceptional $70,238 | Tragic $53,847 |
Wage/Income Gap | Poor 26.4% | Excellent 25.0% |
Indian (Asian) vs Chippewa Poverty
When considering poverty, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 23.4%, a difference of 74.0%), female poverty among 25-34 year olds (11.2% compared to 18.0%, a difference of 61.2%), and child poverty among boys under 16 (13.3% compared to 21.0%, a difference of 58.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.7% compared to 13.1%, a difference of 2.5%), seniors poverty over the age of 65 (11.1% compared to 12.1%, a difference of 9.4%), and married-couple family poverty (4.8% compared to 5.4%, a difference of 12.8%).
Poverty Metric | Indian (Asian) | Chippewa |
Poverty | Exceptional 11.3% | Tragic 15.7% |
Families | Exceptional 7.7% | Tragic 11.2% |
Males | Exceptional 10.4% | Tragic 14.6% |
Females | Exceptional 12.2% | Tragic 16.7% |
Females 18 to 24 years | Excellent 19.6% | Tragic 25.9% |
Females 25 to 34 years | Exceptional 11.2% | Tragic 18.0% |
Children Under 5 years | Exceptional 13.4% | Tragic 23.4% |
Children Under 16 years | Exceptional 13.1% | Tragic 20.5% |
Boys Under 16 years | Exceptional 13.3% | Tragic 21.0% |
Girls Under 16 years | Exceptional 13.3% | Tragic 20.6% |
Single Males | Exceptional 11.3% | Tragic 16.4% |
Single Females | Exceptional 17.9% | Tragic 26.8% |
Single Fathers | Exceptional 14.8% | Tragic 18.8% |
Single Mothers | Exceptional 25.8% | Tragic 34.8% |
Married Couples | Exceptional 4.8% | Poor 5.4% |
Seniors Over 65 years | Fair 11.1% | Tragic 12.1% |
Seniors Over 75 years | Tragic 12.7% | Tragic 13.1% |
Receiving Food Stamps | Exceptional 9.6% | Tragic 14.7% |
Indian (Asian) vs Chippewa Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 13.3%, a difference of 111.7%), unemployment among ages 30 to 34 years (5.1% compared to 7.8%, a difference of 51.2%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 11.1%, a difference of 43.5%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.9%), unemployment among ages 16 to 19 years (17.3% compared to 18.0%, a difference of 3.7%), and unemployment among seniors over 65 years (5.2% compared to 5.4%, a difference of 5.0%).
Unemployment Metric | Indian (Asian) | Chippewa |
Unemployment | Excellent 5.1% | Tragic 6.2% |
Males | Good 5.2% | Tragic 6.6% |
Females | Excellent 5.1% | Tragic 6.1% |
Youth < 25 | Good 11.5% | Tragic 13.5% |
Age | 16 to 19 years | Good 17.3% | Poor 18.0% |
Age | 20 to 24 years | Good 10.3% | Tragic 12.3% |
Age | 25 to 29 years | Exceptional 6.3% | Tragic 7.8% |
Age | 30 to 34 years | Exceptional 5.1% | Tragic 7.8% |
Age | 35 to 44 years | Exceptional 4.4% | Tragic 6.2% |
Age | 45 to 54 years | Good 4.5% | Tragic 5.5% |
Age | 55 to 59 years | Tragic 4.9% | Tragic 5.9% |
Age | 60 to 64 years | Tragic 5.0% | Poor 4.9% |
Age | 65 to 74 years | Average 5.3% | Tragic 5.7% |
Seniors > 65 | Average 5.2% | Tragic 5.4% |
Seniors > 75 | Exceptional 8.0% | Tragic 10.1% |
Women w/ Children < 6 | Exceptional 6.3% | Tragic 13.3% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Tragic 11.1% |
Women w/ Children < 18 | Exceptional 4.9% | Tragic 7.0% |
Indian (Asian) vs Chippewa Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 43.8%, a difference of 37.5%), in labor force | age 20-24 (71.9% compared to 77.1%, a difference of 7.2%), and in labor force | age > 16 (65.5% compared to 63.1%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 82.9%, a difference of 2.2%), in labor force | age 35-44 (84.8% compared to 82.9%, a difference of 2.3%), and in labor force | age 45-54 (83.3% compared to 81.3%, a difference of 2.5%).
Labor Participation Metric | Indian (Asian) | Chippewa |
In Labor Force | Age > 16 | Excellent 65.5% | Tragic 63.1% |
In Labor Force | Age 20-64 | Excellent 79.9% | Tragic 77.3% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 43.8% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 77.1% |
In Labor Force | Age 25-29 | Good 84.7% | Tragic 82.9% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Tragic 82.6% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Tragic 82.9% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Tragic 81.3% |
Indian (Asian) vs Chippewa Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in births to unmarried women (25.3% compared to 42.6%, a difference of 68.7%), single father households (1.9% compared to 3.1%, a difference of 62.2%), and single mother households (5.1% compared to 8.0%, a difference of 56.2%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.20, a difference of 1.3%), family households with children (27.6% compared to 26.7%, a difference of 3.2%), and family households (65.1% compared to 62.1%, a difference of 4.9%).
Family Structure Metric | Indian (Asian) | Chippewa |
Family Households | Exceptional 65.1% | Tragic 62.1% |
Family Households with Children | Good 27.6% | Tragic 26.7% |
Married-couple Households | Exceptional 48.7% | Tragic 42.1% |
Average Family Size | Good 3.24 | Poor 3.20 |
Single Father Households | Exceptional 1.9% | Tragic 3.1% |
Single Mother Households | Exceptional 5.1% | Tragic 8.0% |
Currently Married | Exceptional 48.0% | Tragic 43.2% |
Divorced or Separated | Exceptional 10.2% | Tragic 13.2% |
Births to Unmarried Women | Exceptional 25.3% | Tragic 42.6% |
Indian (Asian) vs Chippewa Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in no vehicles in household (14.1% compared to 9.4%, a difference of 48.9%), 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 17.7%), and 3 or more vehicles in household (19.1% compared to 21.5%, a difference of 12.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 90.7%, a difference of 5.4%), 2 or more vehicles in household (53.1% compared to 57.2%, a difference of 7.7%), and 3 or more vehicles in household (19.1% compared to 21.5%, a difference of 12.6%).
Vehicle Availability Metric | Indian (Asian) | Chippewa |
No Vehicles Available | Tragic 14.1% | Exceptional 9.4% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 90.7% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 57.2% |
3+ Vehicles Available | Fair 19.1% | Exceptional 21.5% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.6% |
Indian (Asian) vs Chippewa Education Level
When considering education level, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in doctorate degree (2.9% compared to 1.5%, a difference of 90.9%), professional degree (6.5% compared to 3.5%, a difference of 88.1%), and master's degree (20.5% compared to 11.4%, a difference of 79.1%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.5%, a difference of 0.010%), high school diploma (89.6% compared to 89.7%, a difference of 0.18%), and nursery school (97.6% compared to 98.5%, a difference of 0.90%).
Education Level Metric | Indian (Asian) | Chippewa |
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 98.4% |
4th Grade | Tragic 97.2% | Exceptional 98.2% |
5th Grade | Tragic 96.9% | Exceptional 98.1% |
6th Grade | Tragic 96.6% | Exceptional 97.9% |
7th Grade | Tragic 95.5% | Exceptional 97.3% |
8th Grade | Tragic 95.2% | Exceptional 97.1% |
9th Grade | Tragic 94.5% | Exceptional 96.1% |
10th Grade | Poor 93.4% | Exceptional 95.0% |
11th Grade | Average 92.5% | Exceptional 93.5% |
12th Grade, No Diploma | Good 91.5% | Good 91.5% |
High School Diploma | Good 89.6% | Excellent 89.7% |
GED/Equivalency | Exceptional 87.1% | Fair 85.2% |
College, Under 1 year | Exceptional 70.8% | Tragic 62.6% |
College, 1 year or more | Exceptional 66.1% | Tragic 55.7% |
Associate's Degree | Exceptional 54.8% | Tragic 40.7% |
Bachelor's Degree | Exceptional 47.4% | Tragic 30.6% |
Master's Degree | Exceptional 20.5% | Tragic 11.4% |
Professional Degree | Exceptional 6.5% | Tragic 3.5% |
Doctorate Degree | Exceptional 2.9% | Tragic 1.5% |
Indian (Asian) vs Chippewa Disability
When considering disability, the most significant differences between Indian (Asian) and Chippewa communities in the United States are seen in disability age under 5 (1.0% compared to 1.9%, a difference of 87.6%), disability age 35 to 64 (8.9% compared to 15.0%, a difference of 69.0%), and disability age 18 to 34 (5.5% compared to 9.0%, a difference of 61.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.4%, a difference of 4.1%), cognitive disability (16.8% compared to 18.1%, a difference of 7.3%), and self-care disability (2.3% compared to 2.6%, a difference of 13.1%).
Disability Metric | Indian (Asian) | Chippewa |
Disability | Exceptional 10.3% | Tragic 14.1% |
Males | Exceptional 9.7% | Tragic 14.3% |
Females | Exceptional 10.8% | Tragic 14.0% |
Age | Under 5 years | Exceptional 1.0% | Tragic 1.9% |
Age | 5 to 17 years | Exceptional 4.6% | Tragic 7.1% |
Age | 18 to 34 years | Exceptional 5.5% | Tragic 9.0% |
Age | 35 to 64 years | Exceptional 8.9% | Tragic 15.0% |
Age | 65 to 74 years | Exceptional 20.5% | Tragic 27.8% |
Age | Over 75 years | Exceptional 46.5% | Tragic 48.4% |
Vision | Exceptional 1.8% | Tragic 2.4% |
Hearing | Exceptional 2.7% | Tragic 4.0% |
Cognitive | Exceptional 16.8% | Tragic 18.1% |
Ambulatory | Exceptional 5.4% | Tragic 7.1% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |