Chippewa vs Burmese Community Comparison
COMPARE
Chippewa
Burmese
Social Comparison
Social Comparison
Chippewa
Burmese
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Chippewa Communities
The statistical analysis conducted on geographies consisting of 201,111,274 people shows a poor positive correlation between the proportion of Burmese within Chippewa communities in the United States with a correlation coefficient (R) of 0.115. On average, for every 1% (one percent) increase in Chippewa within a typical geography, there is an increase of 0.002% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chippewa corresponds to an increase of 1.9 Burmese.
Chippewa vs Burmese Income
When considering income, the most significant differences between Chippewa and Burmese communities in the United States are seen in median household income ($70,539 compared to $103,145, a difference of 46.2%), householder income ages 45 - 64 years ($83,943 compared to $121,444, a difference of 44.7%), and householder income ages 25 - 44 years ($80,005 compared to $113,701, a difference of 42.1%). Conversely, both communities are more comparable in terms of wage/income gap (25.0% compared to 28.0%, a difference of 12.2%), householder income under 25 years ($47,015 compared to $54,800, a difference of 16.6%), and median female earnings ($35,003 compared to $44,911, a difference of 28.3%).
Income Metric | Chippewa | Burmese |
Per Capita Income | Tragic $36,631 | Exceptional $52,005 |
Median Family Income | Tragic $86,852 | Exceptional $123,369 |
Median Household Income | Tragic $70,539 | Exceptional $103,145 |
Median Earnings | Tragic $40,287 | Exceptional $54,559 |
Median Male Earnings | Tragic $46,368 | Exceptional $65,236 |
Median Female Earnings | Tragic $35,003 | Exceptional $44,911 |
Householder Age | Under 25 years | Tragic $47,015 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Tragic $80,005 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Tragic $83,943 | Exceptional $121,444 |
Householder Age | Over 65 years | Tragic $53,847 | Exceptional $71,139 |
Wage/Income Gap | Excellent 25.0% | Tragic 28.0% |
Chippewa vs Burmese Poverty
When considering poverty, the most significant differences between Chippewa and Burmese communities in the United States are seen in child poverty under the age of 5 (23.4% compared to 13.2%, a difference of 76.9%), receiving food stamps (14.7% compared to 8.6%, a difference of 69.7%), and child poverty among boys under 16 (21.0% compared to 13.0%, a difference of 61.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.1% compared to 11.7%, a difference of 11.8%), seniors poverty over the age of 65 (12.1% compared to 10.1%, a difference of 20.4%), and single father poverty (18.8% compared to 15.5%, a difference of 21.6%).
Poverty Metric | Chippewa | Burmese |
Poverty | Tragic 15.7% | Exceptional 10.7% |
Families | Tragic 11.2% | Exceptional 7.3% |
Males | Tragic 14.6% | Exceptional 9.7% |
Females | Tragic 16.7% | Exceptional 11.6% |
Females 18 to 24 years | Tragic 25.9% | Exceptional 18.9% |
Females 25 to 34 years | Tragic 18.0% | Exceptional 11.2% |
Children Under 5 years | Tragic 23.4% | Exceptional 13.2% |
Children Under 16 years | Tragic 20.5% | Exceptional 12.8% |
Boys Under 16 years | Tragic 21.0% | Exceptional 13.0% |
Girls Under 16 years | Tragic 20.6% | Exceptional 13.0% |
Single Males | Tragic 16.4% | Exceptional 11.7% |
Single Females | Tragic 26.8% | Exceptional 18.3% |
Single Fathers | Tragic 18.8% | Exceptional 15.5% |
Single Mothers | Tragic 34.8% | Exceptional 26.2% |
Married Couples | Poor 5.4% | Exceptional 4.3% |
Seniors Over 65 years | Tragic 12.1% | Exceptional 10.1% |
Seniors Over 75 years | Tragic 13.1% | Excellent 11.7% |
Receiving Food Stamps | Tragic 14.7% | Exceptional 8.6% |
Chippewa vs Burmese Unemployment
When considering unemployment, the most significant differences between Chippewa and Burmese communities in the United States are seen in unemployment among women with children under 6 years (13.3% compared to 6.5%, a difference of 105.7%), unemployment among ages 30 to 34 years (7.8% compared to 5.1%, a difference of 50.7%), and unemployment among ages 35 to 44 years (6.2% compared to 4.3%, a difference of 44.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 2.8%), unemployment among ages 16 to 19 years (18.0% compared to 17.0%, a difference of 5.8%), and unemployment among seniors over 65 years (5.4% compared to 5.0%, a difference of 8.1%).
Unemployment Metric | Chippewa | Burmese |
Unemployment | Tragic 6.2% | Exceptional 4.9% |
Males | Tragic 6.6% | Exceptional 4.9% |
Females | Tragic 6.1% | Exceptional 5.0% |
Youth < 25 | Tragic 13.5% | Excellent 11.3% |
Age | 16 to 19 years | Poor 18.0% | Exceptional 17.0% |
Age | 20 to 24 years | Tragic 12.3% | Excellent 10.2% |
Age | 25 to 29 years | Tragic 7.8% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 7.8% | Exceptional 5.1% |
Age | 35 to 44 years | Tragic 6.2% | Exceptional 4.3% |
Age | 45 to 54 years | Tragic 5.5% | Exceptional 4.2% |
Age | 55 to 59 years | Tragic 5.9% | Exceptional 4.5% |
Age | 60 to 64 years | Poor 4.9% | Excellent 4.8% |
Age | 65 to 74 years | Tragic 5.7% | Exceptional 5.2% |
Seniors > 65 | Tragic 5.4% | Exceptional 5.0% |
Seniors > 75 | Tragic 10.1% | Exceptional 8.2% |
Women w/ Children < 6 | Tragic 13.3% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 11.1% | Exceptional 8.0% |
Women w/ Children < 18 | Tragic 7.0% | Exceptional 4.9% |
Chippewa vs Burmese Labor Participation
When considering labor participation, the most significant differences between Chippewa and Burmese communities in the United States are seen in in labor force | age 16-19 (43.8% compared to 34.5%, a difference of 27.0%), in labor force | age > 16 (63.1% compared to 66.2%, a difference of 4.9%), and in labor force | age 20-24 (77.1% compared to 73.6%, a difference of 4.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (82.9% compared to 84.7%, a difference of 2.2%), in labor force | age 25-29 (82.9% compared to 85.1%, a difference of 2.7%), and in labor force | age 45-54 (81.3% compared to 83.6%, a difference of 2.9%).
Labor Participation Metric | Chippewa | Burmese |
In Labor Force | Age > 16 | Tragic 63.1% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Tragic 77.3% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 43.8% | Tragic 34.5% |
In Labor Force | Age 20-24 | Exceptional 77.1% | Tragic 73.6% |
In Labor Force | Age 25-29 | Tragic 82.9% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 82.6% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 82.9% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 83.6% |
Chippewa vs Burmese Family Structure
When considering family structure, the most significant differences between Chippewa and Burmese communities in the United States are seen in births to unmarried women (42.6% compared to 26.4%, a difference of 61.7%), single father households (3.1% compared to 2.0%, a difference of 52.0%), and single mother households (8.0% compared to 5.3%, a difference of 50.9%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.22, a difference of 0.49%), family households (62.1% compared to 65.7%, a difference of 5.9%), and family households with children (26.7% compared to 28.5%, a difference of 6.6%).
Family Structure Metric | Chippewa | Burmese |
Family Households | Tragic 62.1% | Exceptional 65.7% |
Family Households with Children | Tragic 26.7% | Exceptional 28.5% |
Married-couple Households | Tragic 42.1% | Exceptional 49.8% |
Average Family Size | Poor 3.20 | Fair 3.22 |
Single Father Households | Tragic 3.1% | Exceptional 2.0% |
Single Mother Households | Tragic 8.0% | Exceptional 5.3% |
Currently Married | Tragic 43.2% | Exceptional 48.9% |
Divorced or Separated | Tragic 13.2% | Exceptional 10.7% |
Births to Unmarried Women | Tragic 42.6% | Exceptional 26.4% |
Chippewa vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Chippewa and Burmese communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 10.9%), 3 or more vehicles in household (21.5% compared to 20.6%, a difference of 4.2%), and no vehicles in household (9.4% compared to 9.7%, a difference of 2.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 90.4%, a difference of 0.27%), 2 or more vehicles in household (57.2% compared to 57.8%, a difference of 1.1%), and no vehicles in household (9.4% compared to 9.7%, a difference of 2.4%).
Vehicle Availability Metric | Chippewa | Burmese |
No Vehicles Available | Exceptional 9.4% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 90.7% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 57.2% | Exceptional 57.8% |
3+ Vehicles Available | Exceptional 21.5% | Exceptional 20.6% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 6.8% |
Chippewa vs Burmese Education Level
When considering education level, the most significant differences between Chippewa and Burmese communities in the United States are seen in professional degree (3.5% compared to 6.1%, a difference of 77.1%), doctorate degree (1.5% compared to 2.6%, a difference of 72.9%), and master's degree (11.4% compared to 19.7%, a difference of 72.5%). Conversely, both communities are more comparable in terms of 11th grade (93.5% compared to 93.6%, a difference of 0.14%), nursery school (98.5% compared to 98.1%, a difference of 0.44%), and kindergarten (98.5% compared to 98.1%, a difference of 0.44%).
Education Level Metric | Chippewa | Burmese |
No Schooling Completed | Exceptional 1.6% | Excellent 1.9% |
Nursery School | Exceptional 98.5% | Excellent 98.1% |
Kindergarten | Exceptional 98.5% | Excellent 98.1% |
1st Grade | Exceptional 98.5% | Excellent 98.0% |
2nd Grade | Exceptional 98.4% | Excellent 98.0% |
3rd Grade | Exceptional 98.4% | Good 97.9% |
4th Grade | Exceptional 98.2% | Excellent 97.7% |
5th Grade | Exceptional 98.1% | Excellent 97.5% |
6th Grade | Exceptional 97.9% | Excellent 97.3% |
7th Grade | Exceptional 97.3% | Excellent 96.3% |
8th Grade | Exceptional 97.1% | Exceptional 96.1% |
9th Grade | Exceptional 96.1% | Exceptional 95.4% |
10th Grade | Exceptional 95.0% | Exceptional 94.5% |
11th Grade | Exceptional 93.5% | Exceptional 93.6% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.6% |
High School Diploma | Excellent 89.7% | Exceptional 90.8% |
GED/Equivalency | Fair 85.2% | Exceptional 88.3% |
College, Under 1 year | Tragic 62.6% | Exceptional 71.9% |
College, 1 year or more | Tragic 55.7% | Exceptional 66.7% |
Associate's Degree | Tragic 40.7% | Exceptional 54.6% |
Bachelor's Degree | Tragic 30.6% | Exceptional 46.9% |
Master's Degree | Tragic 11.4% | Exceptional 19.7% |
Professional Degree | Tragic 3.5% | Exceptional 6.1% |
Doctorate Degree | Tragic 1.5% | Exceptional 2.6% |
Chippewa vs Burmese Disability
When considering disability, the most significant differences between Chippewa and Burmese communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 67.5%), disability age 35 to 64 (15.0% compared to 9.2%, a difference of 62.5%), and disability age 18 to 34 (9.0% compared to 6.0%, a difference of 49.8%). Conversely, both communities are more comparable in terms of disability age over 75 (48.4% compared to 45.9%, a difference of 5.5%), cognitive disability (18.1% compared to 16.7%, a difference of 8.5%), and self-care disability (2.6% compared to 2.3%, a difference of 17.1%).
Disability Metric | Chippewa | Burmese |
Disability | Tragic 14.1% | Exceptional 10.4% |
Males | Tragic 14.3% | Exceptional 10.0% |
Females | Tragic 14.0% | Exceptional 10.7% |
Age | Under 5 years | Tragic 1.9% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 7.1% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 9.0% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 15.0% | Exceptional 9.2% |
Age | 65 to 74 years | Tragic 27.8% | Exceptional 20.6% |
Age | Over 75 years | Tragic 48.4% | Exceptional 45.9% |
Vision | Tragic 2.4% | Exceptional 1.8% |
Hearing | Tragic 4.0% | Exceptional 2.8% |
Cognitive | Tragic 18.1% | Exceptional 16.7% |
Ambulatory | Tragic 7.1% | Exceptional 5.3% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |