Asian vs Chippewa Community Comparison
COMPARE
Asian
Chippewa
Social Comparison
Social Comparison
Asians
Chippewa
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK
Chippewa Integration in Asian Communities
The statistical analysis conducted on geographies consisting of 212,266,934 people shows a weak negative correlation between the proportion of Chippewa within Asian communities in the United States with a correlation coefficient (R) of -0.240. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Chippewa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 1.0 Chippewa.
Asian vs Chippewa Income
When considering income, the most significant differences between Asian and Chippewa communities in the United States are seen in median household income ($101,681 compared to $70,539, a difference of 44.2%), householder income ages 45 - 64 years ($118,426 compared to $83,943, a difference of 41.1%), and householder income ages 25 - 44 years ($112,666 compared to $80,005, a difference of 40.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 25.0%, a difference of 7.8%), householder income under 25 years ($57,003 compared to $47,015, a difference of 21.2%), and median female earnings ($44,586 compared to $35,003, a difference of 27.4%).
Income Metric | Asian | Chippewa |
Per Capita Income | Exceptional $50,057 | Tragic $36,631 |
Median Family Income | Exceptional $119,955 | Tragic $86,852 |
Median Household Income | Exceptional $101,681 | Tragic $70,539 |
Median Earnings | Exceptional $53,690 | Tragic $40,287 |
Median Male Earnings | Exceptional $63,827 | Tragic $46,368 |
Median Female Earnings | Exceptional $44,586 | Tragic $35,003 |
Householder Age | Under 25 years | Exceptional $57,003 | Tragic $47,015 |
Householder Age | 25 - 44 years | Exceptional $112,666 | Tragic $80,005 |
Householder Age | 45 - 64 years | Exceptional $118,426 | Tragic $83,943 |
Householder Age | Over 65 years | Exceptional $68,822 | Tragic $53,847 |
Wage/Income Gap | Tragic 26.9% | Excellent 25.0% |
Asian vs Chippewa Poverty
When considering poverty, the most significant differences between Asian and Chippewa communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 23.4%, a difference of 67.6%), female poverty among 25-34 year olds (11.4% compared to 18.0%, a difference of 57.9%), and child poverty among boys under 16 (13.5% compared to 21.0%, a difference of 55.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 13.1%, a difference of 8.7%), seniors poverty over the age of 65 (10.4% compared to 12.1%, a difference of 16.6%), and married-couple family poverty (4.7% compared to 5.4%, a difference of 16.7%).
Poverty Metric | Asian | Chippewa |
Poverty | Exceptional 11.0% | Tragic 15.7% |
Families | Exceptional 7.7% | Tragic 11.2% |
Males | Exceptional 10.0% | Tragic 14.6% |
Females | Exceptional 11.9% | Tragic 16.7% |
Females 18 to 24 years | Exceptional 18.2% | Tragic 25.9% |
Females 25 to 34 years | Exceptional 11.4% | Tragic 18.0% |
Children Under 5 years | Exceptional 14.0% | Tragic 23.4% |
Children Under 16 years | Exceptional 13.5% | Tragic 20.5% |
Boys Under 16 years | Exceptional 13.5% | Tragic 21.0% |
Girls Under 16 years | Exceptional 13.7% | Tragic 20.6% |
Single Males | Exceptional 11.2% | Tragic 16.4% |
Single Females | Exceptional 18.3% | Tragic 26.8% |
Single Fathers | Exceptional 14.6% | Tragic 18.8% |
Single Mothers | Exceptional 26.0% | Tragic 34.8% |
Married Couples | Exceptional 4.7% | Poor 5.4% |
Seniors Over 65 years | Excellent 10.4% | Tragic 12.1% |
Seniors Over 75 years | Good 12.0% | Tragic 13.1% |
Receiving Food Stamps | Exceptional 9.7% | Tragic 14.7% |
Asian vs Chippewa Unemployment
When considering unemployment, the most significant differences between Asian and Chippewa communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 13.3%, a difference of 99.8%), unemployment among ages 30 to 34 years (5.1% compared to 7.8%, a difference of 51.4%), and unemployment among ages 35 to 44 years (4.4% compared to 6.2%, a difference of 41.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 1.1%), unemployment among ages 16 to 19 years (16.9% compared to 18.0%, a difference of 6.4%), and unemployment among seniors over 65 years (5.1% compared to 5.4%, a difference of 6.8%).
Unemployment Metric | Asian | Chippewa |
Unemployment | Excellent 5.1% | Tragic 6.2% |
Males | Exceptional 5.1% | Tragic 6.6% |
Females | Good 5.2% | Tragic 6.1% |
Youth < 25 | Good 11.4% | Tragic 13.5% |
Age | 16 to 19 years | Exceptional 16.9% | Poor 18.0% |
Age | 20 to 24 years | Good 10.2% | 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 | Exceptional 4.3% | Tragic 5.5% |
Age | 55 to 59 years | Exceptional 4.7% | Tragic 5.9% |
Age | 60 to 64 years | Average 4.9% | Poor 4.9% |
Age | 65 to 74 years | Exceptional 5.3% | Tragic 5.7% |
Seniors > 65 | Excellent 5.1% | Tragic 5.4% |
Seniors > 75 | Exceptional 8.3% | Tragic 10.1% |
Women w/ Children < 6 | Exceptional 6.7% | Tragic 13.3% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Tragic 11.1% |
Women w/ Children < 18 | Exceptional 5.1% | Tragic 7.0% |
Asian vs Chippewa Labor Participation
When considering labor participation, the most significant differences between Asian and Chippewa communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 43.8%, a difference of 28.6%), in labor force | age > 16 (66.2% compared to 63.1%, a difference of 4.9%), and in labor force | age 20-24 (73.7% compared to 77.1%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 82.9%, a difference of 2.1%), in labor force | age 25-29 (84.8% compared to 82.9%, a difference of 2.3%), and in labor force | age 45-54 (83.4% compared to 81.3%, a difference of 2.7%).
Labor Participation Metric | Asian | Chippewa |
In Labor Force | Age > 16 | Exceptional 66.2% | Tragic 63.1% |
In Labor Force | Age 20-64 | Exceptional 80.2% | Tragic 77.3% |
In Labor Force | Age 16-19 | Tragic 34.1% | Exceptional 43.8% |
In Labor Force | Age 20-24 | Tragic 73.7% | Exceptional 77.1% |
In Labor Force | Age 25-29 | Good 84.8% | Tragic 82.9% |
In Labor Force | Age 30-34 | Exceptional 85.1% | Tragic 82.6% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Tragic 82.9% |
In Labor Force | Age 45-54 | Exceptional 83.4% | Tragic 81.3% |
Asian vs Chippewa Family Structure
When considering family structure, the most significant differences between Asian and Chippewa communities in the United States are seen in births to unmarried women (26.8% compared to 42.6%, a difference of 59.2%), single father households (2.1% compared to 3.1%, a difference of 47.2%), and single mother households (5.6% compared to 8.0%, a difference of 42.7%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.20, a difference of 2.5%), family households (66.5% compared to 62.1%, a difference of 7.1%), and family households with children (29.1% compared to 26.7%, a difference of 8.6%).
Family Structure Metric | Asian | Chippewa |
Family Households | Exceptional 66.5% | Tragic 62.1% |
Family Households with Children | Exceptional 29.1% | Tragic 26.7% |
Married-couple Households | Exceptional 49.5% | Tragic 42.1% |
Average Family Size | Exceptional 3.28 | Poor 3.20 |
Single Father Households | Exceptional 2.1% | Tragic 3.1% |
Single Mother Households | Exceptional 5.6% | Tragic 8.0% |
Currently Married | Exceptional 48.4% | Tragic 43.2% |
Divorced or Separated | Exceptional 10.6% | Tragic 13.2% |
Births to Unmarried Women | Exceptional 26.8% | Tragic 42.6% |
Asian vs Chippewa Vehicle Availability
When considering vehicle availability, the most significant differences between Asian and Chippewa communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 7.6%, a difference of 8.0%), no vehicles in household (9.0% compared to 9.4%, a difference of 5.3%), and 3 or more vehicles in household (20.8% compared to 21.5%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.0% compared to 57.2%, a difference of 0.37%), 1 or more vehicles in household (91.1% compared to 90.7%, a difference of 0.46%), and 3 or more vehicles in household (20.8% compared to 21.5%, a difference of 3.7%).
Vehicle Availability Metric | Asian | Chippewa |
No Vehicles Available | Exceptional 9.0% | Exceptional 9.4% |
1+ Vehicles Available | Exceptional 91.1% | Exceptional 90.7% |
2+ Vehicles Available | Exceptional 57.0% | Exceptional 57.2% |
3+ Vehicles Available | Exceptional 20.8% | Exceptional 21.5% |
4+ Vehicles Available | Exceptional 7.0% | Exceptional 7.6% |
Asian vs Chippewa Education Level
When considering education level, the most significant differences between Asian and Chippewa communities in the United States are seen in master's degree (18.4% compared to 11.4%, a difference of 61.5%), doctorate degree (2.4% compared to 1.5%, a difference of 59.4%), and professional degree (5.5% compared to 3.5%, a difference of 58.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.4% compared to 91.5%, a difference of 0.12%), high school diploma (89.4% compared to 89.7%, a difference of 0.34%), and nursery school (97.6% compared to 98.5%, a difference of 0.89%).
Education Level Metric | Asian | Chippewa |
No Schooling Completed | Tragic 2.4% | Exceptional 1.6% |
Nursery School | Tragic 97.6% | Exceptional 98.5% |
Kindergarten | Tragic 97.6% | Exceptional 98.5% |
1st Grade | Tragic 97.6% | Exceptional 98.5% |
2nd Grade | Tragic 97.5% | Exceptional 98.4% |
3rd Grade | Tragic 97.4% | Exceptional 98.4% |
4th Grade | Tragic 97.1% | 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 | Fair 93.5% | Exceptional 95.0% |
11th Grade | Average 92.5% | Exceptional 93.5% |
12th Grade, No Diploma | Good 91.4% | Good 91.5% |
High School Diploma | Good 89.4% | Excellent 89.7% |
GED/Equivalency | Exceptional 86.7% | Fair 85.2% |
College, Under 1 year | Exceptional 69.4% | Tragic 62.6% |
College, 1 year or more | Exceptional 64.2% | Tragic 55.7% |
Associate's Degree | Exceptional 52.1% | Tragic 40.7% |
Bachelor's Degree | Exceptional 44.4% | Tragic 30.6% |
Master's Degree | Exceptional 18.4% | Tragic 11.4% |
Professional Degree | Exceptional 5.5% | Tragic 3.5% |
Doctorate Degree | Exceptional 2.4% | Tragic 1.5% |
Asian vs Chippewa Disability
When considering disability, the most significant differences between Asian and Chippewa communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 73.2%), disability age 35 to 64 (9.4% compared to 15.0%, a difference of 59.5%), and disability age 18 to 34 (5.8% compared to 9.0%, a difference of 54.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 48.4%, a difference of 3.2%), cognitive disability (16.7% compared to 18.1%, a difference of 8.0%), and self-care disability (2.3% compared to 2.6%, a difference of 13.7%).
Disability Metric | Asian | Chippewa |
Disability | Exceptional 10.4% | Tragic 14.1% |
Males | Exceptional 10.0% | Tragic 14.3% |
Females | Exceptional 10.9% | Tragic 14.0% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.9% |
Age | 5 to 17 years | Exceptional 4.8% | Tragic 7.1% |
Age | 18 to 34 years | Exceptional 5.8% | Tragic 9.0% |
Age | 35 to 64 years | Exceptional 9.4% | Tragic 15.0% |
Age | 65 to 74 years | Exceptional 21.4% | Tragic 27.8% |
Age | Over 75 years | Excellent 46.9% | Tragic 48.4% |
Vision | Exceptional 1.9% | Tragic 2.4% |
Hearing | Exceptional 2.7% | Tragic 4.0% |
Cognitive | Exceptional 16.7% | Tragic 18.1% |
Ambulatory | Exceptional 5.4% | Tragic 7.1% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |