Asian vs Chickasaw Community Comparison
COMPARE
Asian
Chickasaw
Social Comparison
Social Comparison
Asians
Chickasaw
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
3,663
SOCIAL INDEX
34.2/ 100
SOCIAL RATING
212th/ 347
SOCIAL RANK
Chickasaw Integration in Asian Communities
The statistical analysis conducted on geographies consisting of 146,508,664 people shows a weak negative correlation between the proportion of Chickasaw within Asian communities in the United States with a correlation coefficient (R) of -0.210. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Chickasaw. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 0.7 Chickasaw.
Asian vs Chickasaw Income
When considering income, the most significant differences between Asian and Chickasaw communities in the United States are seen in median household income ($101,681 compared to $70,005, a difference of 45.3%), householder income ages 25 - 44 years ($112,666 compared to $77,929, a difference of 44.6%), and householder income ages 45 - 64 years ($118,426 compared to $82,193, a difference of 44.1%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 27.2%, a difference of 0.86%), householder income under 25 years ($57,003 compared to $44,763, a difference of 27.3%), and householder income over 65 years ($68,822 compared to $53,732, a difference of 28.1%).
Income Metric | Asian | Chickasaw |
Per Capita Income | Exceptional $50,057 | Tragic $36,475 |
Median Family Income | Exceptional $119,955 | Tragic $85,356 |
Median Household Income | Exceptional $101,681 | Tragic $70,005 |
Median Earnings | Exceptional $53,690 | Tragic $40,672 |
Median Male Earnings | Exceptional $63,827 | Tragic $47,832 |
Median Female Earnings | Exceptional $44,586 | Tragic $34,414 |
Householder Age | Under 25 years | Exceptional $57,003 | Tragic $44,763 |
Householder Age | 25 - 44 years | Exceptional $112,666 | Tragic $77,929 |
Householder Age | 45 - 64 years | Exceptional $118,426 | Tragic $82,193 |
Householder Age | Over 65 years | Exceptional $68,822 | Tragic $53,732 |
Wage/Income Gap | Tragic 26.9% | Tragic 27.2% |
Asian vs Chickasaw Poverty
When considering poverty, the most significant differences between Asian and Chickasaw communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 21.8%, a difference of 56.3%), female poverty among 25-34 year olds (11.4% compared to 17.0%, a difference of 49.1%), and child poverty among boys under 16 (13.5% compared to 19.8%, a difference of 46.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.7%, a difference of 2.7%), seniors poverty over the age of 75 (12.0% compared to 11.6%, a difference of 3.2%), and married-couple family poverty (4.7% compared to 5.8%, a difference of 24.3%).
Poverty Metric | Asian | Chickasaw |
Poverty | Exceptional 11.0% | Tragic 14.7% |
Families | Exceptional 7.7% | Tragic 10.8% |
Males | Exceptional 10.0% | Tragic 13.5% |
Females | Exceptional 11.9% | Tragic 15.9% |
Females 18 to 24 years | Exceptional 18.2% | Tragic 24.5% |
Females 25 to 34 years | Exceptional 11.4% | Tragic 17.0% |
Children Under 5 years | Exceptional 14.0% | Tragic 21.8% |
Children Under 16 years | Exceptional 13.5% | Tragic 19.5% |
Boys Under 16 years | Exceptional 13.5% | Tragic 19.8% |
Girls Under 16 years | Exceptional 13.7% | Tragic 19.6% |
Single Males | Exceptional 11.2% | Tragic 16.3% |
Single Females | Exceptional 18.3% | Tragic 26.3% |
Single Fathers | Exceptional 14.6% | Tragic 19.0% |
Single Mothers | Exceptional 26.0% | Tragic 34.4% |
Married Couples | Exceptional 4.7% | Tragic 5.8% |
Seniors Over 65 years | Excellent 10.4% | Good 10.7% |
Seniors Over 75 years | Good 12.0% | Exceptional 11.6% |
Receiving Food Stamps | Exceptional 9.7% | Tragic 13.1% |
Asian vs Chickasaw Unemployment
When considering unemployment, the most significant differences between Asian and Chickasaw communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 9.0%, a difference of 34.3%), unemployment among ages 30 to 34 years (5.1% compared to 6.2%, a difference of 21.0%), and unemployment among seniors over 65 years (5.1% compared to 4.4%, a difference of 14.9%). Conversely, both communities are more comparable in terms of female unemployment (5.2% compared to 5.1%, a difference of 0.49%), unemployment (5.1% compared to 5.0%, a difference of 1.1%), and unemployment among ages 16 to 19 years (16.9% compared to 16.7%, a difference of 1.3%).
Unemployment Metric | Asian | Chickasaw |
Unemployment | Excellent 5.1% | Exceptional 5.0% |
Males | Exceptional 5.1% | Excellent 5.2% |
Females | Good 5.2% | Excellent 5.1% |
Youth < 25 | Good 11.4% | Exceptional 11.2% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 16.7% |
Age | 20 to 24 years | Good 10.2% | Exceptional 9.9% |
Age | 25 to 29 years | Exceptional 6.3% | Fair 6.7% |
Age | 30 to 34 years | Exceptional 5.1% | Tragic 6.2% |
Age | 35 to 44 years | Exceptional 4.4% | Tragic 4.9% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.7% | Good 4.8% |
Age | 60 to 64 years | Average 4.9% | Exceptional 4.3% |
Age | 65 to 74 years | Exceptional 5.3% | Exceptional 4.7% |
Seniors > 65 | Excellent 5.1% | Exceptional 4.4% |
Seniors > 75 | Exceptional 8.3% | Exceptional 7.3% |
Women w/ Children < 6 | Exceptional 6.7% | Tragic 9.0% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Exceptional 8.6% |
Women w/ Children < 18 | Exceptional 5.1% | Good 5.4% |
Asian vs Chickasaw Labor Participation
When considering labor participation, the most significant differences between Asian and Chickasaw communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 38.3%, a difference of 12.5%), in labor force | age > 16 (66.2% compared to 62.3%, a difference of 6.3%), and in labor force | age 45-54 (83.4% compared to 79.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.7% compared to 74.5%, a difference of 1.1%), in labor force | age 25-29 (84.8% compared to 81.9%, a difference of 3.6%), and in labor force | age 30-34 (85.1% compared to 81.9%, a difference of 3.9%).
Labor Participation Metric | Asian | Chickasaw |
In Labor Force | Age > 16 | Exceptional 66.2% | Tragic 62.3% |
In Labor Force | Age 20-64 | Exceptional 80.2% | Tragic 76.2% |
In Labor Force | Age 16-19 | Tragic 34.1% | Exceptional 38.3% |
In Labor Force | Age 20-24 | Tragic 73.7% | Poor 74.5% |
In Labor Force | Age 25-29 | Good 84.8% | Tragic 81.9% |
In Labor Force | Age 30-34 | Exceptional 85.1% | Tragic 81.9% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Tragic 80.9% |
In Labor Force | Age 45-54 | Exceptional 83.4% | Tragic 79.0% |
Asian vs Chickasaw Family Structure
When considering family structure, the most significant differences between Asian and Chickasaw communities in the United States are seen in births to unmarried women (26.8% compared to 36.3%, a difference of 35.5%), divorced or separated (10.6% compared to 14.2%, a difference of 33.6%), and single father households (2.1% compared to 2.8%, a difference of 31.0%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.19, a difference of 2.9%), family households with children (29.1% compared to 28.2%, a difference of 2.9%), and family households (66.5% compared to 64.4%, a difference of 3.3%).
Family Structure Metric | Asian | Chickasaw |
Family Households | Exceptional 66.5% | Good 64.4% |
Family Households with Children | Exceptional 29.1% | Exceptional 28.2% |
Married-couple Households | Exceptional 49.5% | Fair 45.9% |
Average Family Size | Exceptional 3.28 | Tragic 3.19 |
Single Father Households | Exceptional 2.1% | Tragic 2.8% |
Single Mother Households | Exceptional 5.6% | Tragic 7.0% |
Currently Married | Exceptional 48.4% | Average 46.6% |
Divorced or Separated | Exceptional 10.6% | Tragic 14.2% |
Births to Unmarried Women | Exceptional 26.8% | Tragic 36.3% |
Asian vs Chickasaw Vehicle Availability
When considering vehicle availability, the most significant differences between Asian and Chickasaw communities in the United States are seen in no vehicles in household (9.0% compared to 7.9%, a difference of 14.2%), 3 or more vehicles in household (20.8% compared to 22.2%, a difference of 7.0%), and 4 or more vehicles in household (7.0% compared to 7.4%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 92.3%, a difference of 1.3%), 2 or more vehicles in household (57.0% compared to 59.0%, a difference of 3.5%), and 4 or more vehicles in household (7.0% compared to 7.4%, a difference of 6.1%).
Vehicle Availability Metric | Asian | Chickasaw |
No Vehicles Available | Exceptional 9.0% | Exceptional 7.9% |
1+ Vehicles Available | Exceptional 91.1% | Exceptional 92.3% |
2+ Vehicles Available | Exceptional 57.0% | Exceptional 59.0% |
3+ Vehicles Available | Exceptional 20.8% | Exceptional 22.2% |
4+ Vehicles Available | Exceptional 7.0% | Exceptional 7.4% |
Asian vs Chickasaw Education Level
When considering education level, the most significant differences between Asian and Chickasaw communities in the United States are seen in professional degree (5.5% compared to 3.4%, a difference of 63.9%), master's degree (18.4% compared to 11.4%, a difference of 61.5%), and doctorate degree (2.4% compared to 1.5%, a difference of 60.9%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.3%, a difference of 0.19%), 10th grade (93.5% compared to 94.1%, a difference of 0.62%), and nursery school (97.6% compared to 98.4%, a difference of 0.76%).
Education Level Metric | Asian | Chickasaw |
No Schooling Completed | Tragic 2.4% | Exceptional 1.7% |
Nursery School | Tragic 97.6% | Exceptional 98.4% |
Kindergarten | Tragic 97.6% | Exceptional 98.4% |
1st Grade | Tragic 97.6% | Exceptional 98.3% |
2nd Grade | Tragic 97.5% | Exceptional 98.3% |
3rd Grade | Tragic 97.4% | Exceptional 98.2% |
4th Grade | Tragic 97.1% | Exceptional 98.0% |
5th Grade | Tragic 96.9% | Exceptional 97.9% |
6th Grade | Tragic 96.6% | Exceptional 97.6% |
7th Grade | Tragic 95.5% | Exceptional 96.7% |
8th Grade | Tragic 95.2% | Exceptional 96.4% |
9th Grade | Tragic 94.5% | Exceptional 95.5% |
10th Grade | Fair 93.5% | Excellent 94.1% |
11th Grade | Average 92.5% | Fair 92.3% |
12th Grade, No Diploma | Good 91.4% | Tragic 90.3% |
High School Diploma | Good 89.4% | Poor 88.4% |
GED/Equivalency | Exceptional 86.7% | Tragic 83.8% |
College, Under 1 year | Exceptional 69.4% | Tragic 60.4% |
College, 1 year or more | Exceptional 64.2% | Tragic 53.3% |
Associate's Degree | Exceptional 52.1% | Tragic 38.6% |
Bachelor's Degree | Exceptional 44.4% | Tragic 30.4% |
Master's Degree | Exceptional 18.4% | Tragic 11.4% |
Professional Degree | Exceptional 5.5% | Tragic 3.4% |
Doctorate Degree | Exceptional 2.4% | Tragic 1.5% |
Asian vs Chickasaw Disability
When considering disability, the most significant differences between Asian and Chickasaw communities in the United States are seen in disability age 35 to 64 (9.4% compared to 16.1%, a difference of 71.7%), vision disability (1.9% compared to 3.2%, a difference of 67.3%), and hearing disability (2.7% compared to 4.5%, a difference of 63.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 51.2%, a difference of 9.0%), cognitive disability (16.7% compared to 18.5%, a difference of 10.4%), and self-care disability (2.3% compared to 2.9%, a difference of 22.9%).
Disability Metric | Asian | Chickasaw |
Disability | Exceptional 10.4% | Tragic 15.2% |
Males | Exceptional 10.0% | Tragic 15.1% |
Females | Exceptional 10.9% | Tragic 15.2% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.7% |
Age | 5 to 17 years | Exceptional 4.8% | Tragic 6.8% |
Age | 18 to 34 years | Exceptional 5.8% | Tragic 9.0% |
Age | 35 to 64 years | Exceptional 9.4% | Tragic 16.1% |
Age | 65 to 74 years | Exceptional 21.4% | Tragic 30.2% |
Age | Over 75 years | Excellent 46.9% | Tragic 51.2% |
Vision | Exceptional 1.9% | Tragic 3.2% |
Hearing | Exceptional 2.7% | Tragic 4.5% |
Cognitive | Exceptional 16.7% | Tragic 18.5% |
Ambulatory | Exceptional 5.4% | Tragic 8.0% |
Self-Care | Exceptional 2.3% | Tragic 2.9% |