Chippewa vs Indian (Asian) Community Comparison
COMPARE
Chippewa
Indian (Asian)
Social Comparison
Social Comparison
Chippewa
Indians (Asian)
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
Indian (Asian) Integration in Chippewa Communities
The statistical analysis conducted on geographies consisting of 204,074,489 people shows a poor negative correlation between the proportion of Indians (Asian) within Chippewa communities in the United States with a correlation coefficient (R) of -0.150. On average, for every 1% (one percent) increase in Chippewa within a typical geography, there is a decrease of 0.004% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chippewa corresponds to a decrease of 4.3 Indians (Asian).
Chippewa vs Indian (Asian) Income
When considering income, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($80,005 compared to $119,496, a difference of 49.4%), median household income ($70,539 compared to $105,262, a difference of 49.2%), and per capita income ($36,631 compared to $53,874, a difference of 47.1%). Conversely, both communities are more comparable in terms of wage/income gap (25.0% compared to 26.4%, a difference of 5.9%), householder income under 25 years ($47,015 compared to $58,239, a difference of 23.9%), and householder income over 65 years ($53,847 compared to $70,238, a difference of 30.4%).
Income Metric | Chippewa | Indian (Asian) |
Per Capita Income | Tragic $36,631 | Exceptional $53,874 |
Median Family Income | Tragic $86,852 | Exceptional $125,312 |
Median Household Income | Tragic $70,539 | Exceptional $105,262 |
Median Earnings | Tragic $40,287 | Exceptional $56,253 |
Median Male Earnings | Tragic $46,368 | Exceptional $66,078 |
Median Female Earnings | Tragic $35,003 | Exceptional $46,481 |
Householder Age | Under 25 years | Tragic $47,015 | Exceptional $58,239 |
Householder Age | 25 - 44 years | Tragic $80,005 | Exceptional $119,496 |
Householder Age | 45 - 64 years | Tragic $83,943 | Exceptional $122,343 |
Householder Age | Over 65 years | Tragic $53,847 | Exceptional $70,238 |
Wage/Income Gap | Excellent 25.0% | Poor 26.4% |
Chippewa vs Indian (Asian) Poverty
When considering poverty, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (23.4% compared to 13.4%, a difference of 74.0%), female poverty among 25-34 year olds (18.0% compared to 11.2%, a difference of 61.2%), and child poverty among boys under 16 (21.0% compared to 13.3%, a difference of 58.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.1% compared to 12.7%, a difference of 2.5%), seniors poverty over the age of 65 (12.1% compared to 11.1%, a difference of 9.4%), and married-couple family poverty (5.4% compared to 4.8%, a difference of 12.8%).
Poverty Metric | Chippewa | Indian (Asian) |
Poverty | Tragic 15.7% | Exceptional 11.3% |
Families | Tragic 11.2% | Exceptional 7.7% |
Males | Tragic 14.6% | Exceptional 10.4% |
Females | Tragic 16.7% | Exceptional 12.2% |
Females 18 to 24 years | Tragic 25.9% | Excellent 19.6% |
Females 25 to 34 years | Tragic 18.0% | Exceptional 11.2% |
Children Under 5 years | Tragic 23.4% | Exceptional 13.4% |
Children Under 16 years | Tragic 20.5% | Exceptional 13.1% |
Boys Under 16 years | Tragic 21.0% | Exceptional 13.3% |
Girls Under 16 years | Tragic 20.6% | Exceptional 13.3% |
Single Males | Tragic 16.4% | Exceptional 11.3% |
Single Females | Tragic 26.8% | Exceptional 17.9% |
Single Fathers | Tragic 18.8% | Exceptional 14.8% |
Single Mothers | Tragic 34.8% | Exceptional 25.8% |
Married Couples | Poor 5.4% | Exceptional 4.8% |
Seniors Over 65 years | Tragic 12.1% | Fair 11.1% |
Seniors Over 75 years | Tragic 13.1% | Tragic 12.7% |
Receiving Food Stamps | Tragic 14.7% | Exceptional 9.6% |
Chippewa vs Indian (Asian) Unemployment
When considering unemployment, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (13.3% compared to 6.3%, a difference of 111.7%), unemployment among ages 30 to 34 years (7.8% compared to 5.1%, a difference of 51.2%), and unemployment among women with children ages 6 to 17 years (11.1% compared to 7.7%, a difference of 43.5%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 5.0%, a difference of 1.9%), unemployment among ages 16 to 19 years (18.0% compared to 17.3%, a difference of 3.7%), and unemployment among seniors over 65 years (5.4% compared to 5.2%, a difference of 5.0%).
Unemployment Metric | Chippewa | Indian (Asian) |
Unemployment | Tragic 6.2% | Excellent 5.1% |
Males | Tragic 6.6% | Good 5.2% |
Females | Tragic 6.1% | Excellent 5.1% |
Youth < 25 | Tragic 13.5% | Good 11.5% |
Age | 16 to 19 years | Poor 18.0% | Good 17.3% |
Age | 20 to 24 years | Tragic 12.3% | Good 10.3% |
Age | 25 to 29 years | Tragic 7.8% | Exceptional 6.3% |
Age | 30 to 34 years | Tragic 7.8% | Exceptional 5.1% |
Age | 35 to 44 years | Tragic 6.2% | Exceptional 4.4% |
Age | 45 to 54 years | Tragic 5.5% | Good 4.5% |
Age | 55 to 59 years | Tragic 5.9% | Tragic 4.9% |
Age | 60 to 64 years | Poor 4.9% | Tragic 5.0% |
Age | 65 to 74 years | Tragic 5.7% | Average 5.3% |
Seniors > 65 | Tragic 5.4% | Average 5.2% |
Seniors > 75 | Tragic 10.1% | Exceptional 8.0% |
Women w/ Children < 6 | Tragic 13.3% | Exceptional 6.3% |
Women w/ Children 6 to 17 | Tragic 11.1% | Exceptional 7.7% |
Women w/ Children < 18 | Tragic 7.0% | Exceptional 4.9% |
Chippewa vs Indian (Asian) Labor Participation
When considering labor participation, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (43.8% compared to 31.9%, a difference of 37.5%), in labor force | age 20-24 (77.1% compared to 71.9%, a difference of 7.2%), and in labor force | age > 16 (63.1% compared to 65.5%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (82.9% compared to 84.7%, a difference of 2.2%), in labor force | age 35-44 (82.9% compared to 84.8%, a difference of 2.3%), and in labor force | age 45-54 (81.3% compared to 83.3%, a difference of 2.5%).
Labor Participation Metric | Chippewa | Indian (Asian) |
In Labor Force | Age > 16 | Tragic 63.1% | Excellent 65.5% |
In Labor Force | Age 20-64 | Tragic 77.3% | Excellent 79.9% |
In Labor Force | Age 16-19 | Exceptional 43.8% | Tragic 31.9% |
In Labor Force | Age 20-24 | Exceptional 77.1% | Tragic 71.9% |
In Labor Force | Age 25-29 | Tragic 82.9% | Good 84.7% |
In Labor Force | Age 30-34 | Tragic 82.6% | Exceptional 85.4% |
In Labor Force | Age 35-44 | Tragic 82.9% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 83.3% |
Chippewa vs Indian (Asian) Family Structure
When considering family structure, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in births to unmarried women (42.6% compared to 25.3%, a difference of 68.7%), single father households (3.1% compared to 1.9%, a difference of 62.2%), and single mother households (8.0% compared to 5.1%, a difference of 56.2%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.24, a difference of 1.3%), family households with children (26.7% compared to 27.6%, a difference of 3.2%), and family households (62.1% compared to 65.1%, a difference of 4.9%).
Family Structure Metric | Chippewa | Indian (Asian) |
Family Households | Tragic 62.1% | Exceptional 65.1% |
Family Households with Children | Tragic 26.7% | Good 27.6% |
Married-couple Households | Tragic 42.1% | Exceptional 48.7% |
Average Family Size | Poor 3.20 | Good 3.24 |
Single Father Households | Tragic 3.1% | Exceptional 1.9% |
Single Mother Households | Tragic 8.0% | Exceptional 5.1% |
Currently Married | Tragic 43.2% | Exceptional 48.0% |
Divorced or Separated | Tragic 13.2% | Exceptional 10.2% |
Births to Unmarried Women | Tragic 42.6% | Exceptional 25.3% |
Chippewa vs Indian (Asian) Vehicle Availability
When considering vehicle availability, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in no vehicles in household (9.4% compared to 14.1%, a difference of 48.9%), 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 17.7%), and 3 or more vehicles in household (21.5% compared to 19.1%, a difference of 12.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 86.0%, a difference of 5.4%), 2 or more vehicles in household (57.2% compared to 53.1%, a difference of 7.7%), and 3 or more vehicles in household (21.5% compared to 19.1%, a difference of 12.6%).
Vehicle Availability Metric | Chippewa | Indian (Asian) |
No Vehicles Available | Exceptional 9.4% | Tragic 14.1% |
1+ Vehicles Available | Exceptional 90.7% | Tragic 86.0% |
2+ Vehicles Available | Exceptional 57.2% | Tragic 53.1% |
3+ Vehicles Available | Exceptional 21.5% | Fair 19.1% |
4+ Vehicles Available | Exceptional 7.6% | Good 6.4% |
Chippewa vs Indian (Asian) Education Level
When considering education level, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in doctorate degree (1.5% compared to 2.9%, a difference of 90.9%), professional degree (3.5% compared to 6.5%, a difference of 88.1%), and master's degree (11.4% compared to 20.5%, 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 (89.7% compared to 89.6%, a difference of 0.18%), and nursery school (98.5% compared to 97.6%, a difference of 0.90%).
Education Level Metric | Chippewa | Indian (Asian) |
No Schooling Completed | Exceptional 1.6% | Tragic 2.5% |
Nursery School | Exceptional 98.5% | Tragic 97.6% |
Kindergarten | Exceptional 98.5% | Tragic 97.6% |
1st Grade | Exceptional 98.5% | Tragic 97.5% |
2nd Grade | Exceptional 98.4% | Tragic 97.5% |
3rd Grade | Exceptional 98.4% | Tragic 97.4% |
4th Grade | Exceptional 98.2% | Tragic 97.2% |
5th Grade | Exceptional 98.1% | Tragic 96.9% |
6th Grade | Exceptional 97.9% | Tragic 96.6% |
7th Grade | Exceptional 97.3% | Tragic 95.5% |
8th Grade | Exceptional 97.1% | Tragic 95.2% |
9th Grade | Exceptional 96.1% | Tragic 94.5% |
10th Grade | Exceptional 95.0% | Poor 93.4% |
11th Grade | Exceptional 93.5% | Average 92.5% |
12th Grade, No Diploma | Good 91.5% | Good 91.5% |
High School Diploma | Excellent 89.7% | Good 89.6% |
GED/Equivalency | Fair 85.2% | Exceptional 87.1% |
College, Under 1 year | Tragic 62.6% | Exceptional 70.8% |
College, 1 year or more | Tragic 55.7% | Exceptional 66.1% |
Associate's Degree | Tragic 40.7% | Exceptional 54.8% |
Bachelor's Degree | Tragic 30.6% | Exceptional 47.4% |
Master's Degree | Tragic 11.4% | Exceptional 20.5% |
Professional Degree | Tragic 3.5% | Exceptional 6.5% |
Doctorate Degree | Tragic 1.5% | Exceptional 2.9% |
Chippewa vs Indian (Asian) Disability
When considering disability, the most significant differences between Chippewa and Indian (Asian) communities in the United States are seen in disability age under 5 (1.9% compared to 1.0%, a difference of 87.6%), disability age 35 to 64 (15.0% compared to 8.9%, a difference of 69.0%), and disability age 18 to 34 (9.0% compared to 5.5%, a difference of 61.8%). Conversely, both communities are more comparable in terms of disability age over 75 (48.4% compared to 46.5%, a difference of 4.1%), cognitive disability (18.1% compared to 16.8%, a difference of 7.3%), and self-care disability (2.6% compared to 2.3%, a difference of 13.1%).
Disability Metric | Chippewa | Indian (Asian) |
Disability | Tragic 14.1% | Exceptional 10.3% |
Males | Tragic 14.3% | Exceptional 9.7% |
Females | Tragic 14.0% | Exceptional 10.8% |
Age | Under 5 years | Tragic 1.9% | Exceptional 1.0% |
Age | 5 to 17 years | Tragic 7.1% | Exceptional 4.6% |
Age | 18 to 34 years | Tragic 9.0% | Exceptional 5.5% |
Age | 35 to 64 years | Tragic 15.0% | Exceptional 8.9% |
Age | 65 to 74 years | Tragic 27.8% | Exceptional 20.5% |
Age | Over 75 years | Tragic 48.4% | Exceptional 46.5% |
Vision | Tragic 2.4% | Exceptional 1.8% |
Hearing | Tragic 4.0% | Exceptional 2.7% |
Cognitive | Tragic 18.1% | Exceptional 16.8% |
Ambulatory | Tragic 7.1% | Exceptional 5.4% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |