Burmese vs Potawatomi Community Comparison
COMPARE
Burmese
Potawatomi
Social Comparison
Social Comparison
Burmese
Potawatomi
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
3,223
SOCIAL INDEX
29.8/ 100
SOCIAL RATING
227th/ 347
SOCIAL RANK
Potawatomi Integration in Burmese Communities
The statistical analysis conducted on geographies consisting of 111,480,369 people shows a weak positive correlation between the proportion of Potawatomi within Burmese communities in the United States with a correlation coefficient (R) of 0.246. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.006% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 6.0 Potawatomi.
Burmese vs Potawatomi Income
When considering income, the most significant differences between Burmese and Potawatomi communities in the United States are seen in householder income ages 45 - 64 years ($121,444 compared to $84,613, a difference of 43.5%), median household income ($103,145 compared to $72,576, a difference of 42.1%), and median family income ($123,369 compared to $88,265, a difference of 39.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 27.7%, a difference of 1.0%), householder income under 25 years ($54,800 compared to $46,462, a difference of 17.9%), and median female earnings ($44,911 compared to $34,739, a difference of 29.3%).
Income Metric | Burmese | Potawatomi |
Per Capita Income | Exceptional $52,005 | Tragic $38,046 |
Median Family Income | Exceptional $123,369 | Tragic $88,265 |
Median Household Income | Exceptional $103,145 | Tragic $72,576 |
Median Earnings | Exceptional $54,559 | Tragic $41,288 |
Median Male Earnings | Exceptional $65,236 | Tragic $48,768 |
Median Female Earnings | Exceptional $44,911 | Tragic $34,739 |
Householder Age | Under 25 years | Exceptional $54,800 | Tragic $46,462 |
Householder Age | 25 - 44 years | Exceptional $113,701 | Tragic $81,774 |
Householder Age | 45 - 64 years | Exceptional $121,444 | Tragic $84,613 |
Householder Age | Over 65 years | Exceptional $71,139 | Tragic $54,212 |
Wage/Income Gap | Tragic 28.0% | Tragic 27.7% |
Burmese vs Potawatomi Poverty
When considering poverty, the most significant differences between Burmese and Potawatomi communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 21.0%, a difference of 58.8%), child poverty among boys under 16 (13.0% compared to 19.4%, a difference of 49.4%), and child poverty under the age of 16 (12.8% compared to 19.0%, a difference of 48.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 12.1%, a difference of 3.7%), seniors poverty over the age of 65 (10.1% compared to 10.8%, a difference of 7.3%), and single father poverty (15.5% compared to 18.9%, a difference of 22.2%).
Poverty Metric | Burmese | Potawatomi |
Poverty | Exceptional 10.7% | Tragic 14.1% |
Families | Exceptional 7.3% | Tragic 10.2% |
Males | Exceptional 9.7% | Tragic 12.9% |
Females | Exceptional 11.6% | Tragic 15.3% |
Females 18 to 24 years | Exceptional 18.9% | Tragic 23.7% |
Females 25 to 34 years | Exceptional 11.2% | Tragic 16.5% |
Children Under 5 years | Exceptional 13.2% | Tragic 21.0% |
Children Under 16 years | Exceptional 12.8% | Tragic 19.0% |
Boys Under 16 years | Exceptional 13.0% | Tragic 19.4% |
Girls Under 16 years | Exceptional 13.0% | Tragic 19.2% |
Single Males | Exceptional 11.7% | Tragic 15.8% |
Single Females | Exceptional 18.3% | Tragic 25.4% |
Single Fathers | Exceptional 15.5% | Tragic 18.9% |
Single Mothers | Exceptional 26.2% | Tragic 34.1% |
Married Couples | Exceptional 4.3% | Poor 5.5% |
Seniors Over 65 years | Exceptional 10.1% | Good 10.8% |
Seniors Over 75 years | Excellent 11.7% | Average 12.1% |
Receiving Food Stamps | Exceptional 8.6% | Poor 12.5% |
Burmese vs Potawatomi Unemployment
When considering unemployment, the most significant differences between Burmese and Potawatomi communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 9.6%, a difference of 47.8%), unemployment among ages 30 to 34 years (5.1% compared to 6.0%, a difference of 17.2%), and unemployment among women with children under 18 years (4.9% compared to 5.7%, a difference of 15.8%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.0% compared to 17.2%, a difference of 1.6%), unemployment among ages 20 to 24 years (10.2% compared to 10.3%, a difference of 1.7%), and unemployment among youth under 25 years (11.3% compared to 11.6%, a difference of 2.0%).
Unemployment Metric | Burmese | Potawatomi |
Unemployment | Exceptional 4.9% | Good 5.2% |
Males | Exceptional 4.9% | Fair 5.3% |
Females | Exceptional 5.0% | Good 5.2% |
Youth < 25 | Excellent 11.3% | Average 11.6% |
Age | 16 to 19 years | Exceptional 17.0% | Excellent 17.2% |
Age | 20 to 24 years | Excellent 10.2% | Average 10.3% |
Age | 25 to 29 years | Exceptional 6.2% | Tragic 7.1% |
Age | 30 to 34 years | Exceptional 5.1% | Tragic 6.0% |
Age | 35 to 44 years | Exceptional 4.3% | Tragic 5.0% |
Age | 45 to 54 years | Exceptional 4.2% | Tragic 4.7% |
Age | 55 to 59 years | Exceptional 4.5% | Good 4.8% |
Age | 60 to 64 years | Excellent 4.8% | Exceptional 4.6% |
Age | 65 to 74 years | Exceptional 5.2% | Average 5.4% |
Seniors > 65 | Exceptional 5.0% | Good 5.1% |
Seniors > 75 | Exceptional 8.2% | Exceptional 7.8% |
Women w/ Children < 6 | Exceptional 6.5% | Tragic 9.6% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Exceptional 8.5% |
Women w/ Children < 18 | Exceptional 4.9% | Tragic 5.7% |
Burmese vs Potawatomi Labor Participation
When considering labor participation, the most significant differences between Burmese and Potawatomi communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.0%, a difference of 16.1%), in labor force | age > 16 (66.2% compared to 62.8%, a difference of 5.3%), and in labor force | age 45-54 (83.6% compared to 80.0%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 82.7%, a difference of 2.4%), in labor force | age 25-29 (85.1% compared to 82.9%, a difference of 2.7%), and in labor force | age 30-34 (85.3% compared to 82.8%, a difference of 3.0%).
Labor Participation Metric | Burmese | Potawatomi |
In Labor Force | Age > 16 | Exceptional 66.2% | Tragic 62.8% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Tragic 77.2% |
In Labor Force | Age 16-19 | Tragic 34.5% | Exceptional 40.0% |
In Labor Force | Age 20-24 | Tragic 73.6% | Exceptional 76.2% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Tragic 82.9% |
In Labor Force | Age 30-34 | Exceptional 85.3% | Tragic 82.8% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Tragic 82.7% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Tragic 80.0% |
Burmese vs Potawatomi Family Structure
When considering family structure, the most significant differences between Burmese and Potawatomi communities in the United States are seen in births to unmarried women (26.4% compared to 36.2%, a difference of 37.5%), divorced or separated (10.7% compared to 13.5%, a difference of 25.6%), and single mother households (5.3% compared to 6.6%, a difference of 24.9%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.16, a difference of 1.6%), family households (65.7% compared to 63.3%, a difference of 3.9%), and currently married (48.9% compared to 46.5%, a difference of 5.3%).
Family Structure Metric | Burmese | Potawatomi |
Family Households | Exceptional 65.7% | Tragic 63.3% |
Family Households with Children | Exceptional 28.5% | Tragic 26.9% |
Married-couple Households | Exceptional 49.8% | Poor 45.7% |
Average Family Size | Fair 3.22 | Tragic 3.16 |
Single Father Households | Exceptional 2.0% | Tragic 2.5% |
Single Mother Households | Exceptional 5.3% | Poor 6.6% |
Currently Married | Exceptional 48.9% | Average 46.5% |
Divorced or Separated | Exceptional 10.7% | Tragic 13.5% |
Births to Unmarried Women | Exceptional 26.4% | Tragic 36.2% |
Burmese vs Potawatomi Vehicle Availability
When considering vehicle availability, the most significant differences between Burmese and Potawatomi communities in the United States are seen in no vehicles in household (9.7% compared to 8.8%, a difference of 9.4%), 4 or more vehicles in household (6.8% compared to 7.3%, a difference of 6.6%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.0%, a difference of 0.29%), 1 or more vehicles in household (90.4% compared to 91.3%, a difference of 0.97%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 5.9%).
Vehicle Availability Metric | Burmese | Potawatomi |
No Vehicles Available | Excellent 9.7% | Exceptional 8.8% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 91.3% |
2+ Vehicles Available | Exceptional 57.8% | Exceptional 58.0% |
3+ Vehicles Available | Exceptional 20.6% | Exceptional 21.9% |
4+ Vehicles Available | Exceptional 6.8% | Exceptional 7.3% |
Burmese vs Potawatomi Education Level
When considering education level, the most significant differences between Burmese and Potawatomi communities in the United States are seen in professional degree (6.1% compared to 3.6%, a difference of 72.5%), doctorate degree (2.6% compared to 1.6%, a difference of 68.8%), and master's degree (19.7% compared to 12.1%, a difference of 63.3%). Conversely, both communities are more comparable in terms of 9th grade (95.4% compared to 95.5%, a difference of 0.10%), 10th grade (94.5% compared to 94.3%, a difference of 0.18%), and nursery school (98.1% compared to 98.3%, a difference of 0.25%).
Education Level Metric | Burmese | Potawatomi |
No Schooling Completed | Excellent 1.9% | Exceptional 1.7% |
Nursery School | Excellent 98.1% | Exceptional 98.3% |
Kindergarten | Excellent 98.1% | Exceptional 98.3% |
1st Grade | Excellent 98.0% | Exceptional 98.3% |
2nd Grade | Excellent 98.0% | Exceptional 98.2% |
3rd Grade | Good 97.9% | Exceptional 98.1% |
4th Grade | Excellent 97.7% | Exceptional 97.9% |
5th Grade | Excellent 97.5% | Exceptional 97.8% |
6th Grade | Excellent 97.3% | Exceptional 97.6% |
7th Grade | Excellent 96.3% | Exceptional 96.7% |
8th Grade | Exceptional 96.1% | Exceptional 96.4% |
9th Grade | Exceptional 95.4% | Exceptional 95.5% |
10th Grade | Exceptional 94.5% | Exceptional 94.3% |
11th Grade | Exceptional 93.6% | Good 92.8% |
12th Grade, No Diploma | Exceptional 92.6% | Fair 91.0% |
High School Diploma | Exceptional 90.8% | Average 89.0% |
GED/Equivalency | Exceptional 88.3% | Tragic 84.7% |
College, Under 1 year | Exceptional 71.9% | Tragic 61.8% |
College, 1 year or more | Exceptional 66.7% | Tragic 54.6% |
Associate's Degree | Exceptional 54.6% | Tragic 40.4% |
Bachelor's Degree | Exceptional 46.9% | Tragic 31.9% |
Master's Degree | Exceptional 19.7% | Tragic 12.1% |
Professional Degree | Exceptional 6.1% | Tragic 3.6% |
Doctorate Degree | Exceptional 2.6% | Tragic 1.6% |
Burmese vs Potawatomi Disability
When considering disability, the most significant differences between Burmese and Potawatomi communities in the United States are seen in disability age 35 to 64 (9.2% compared to 14.8%, a difference of 60.2%), hearing disability (2.8% compared to 4.1%, a difference of 47.1%), and vision disability (1.8% compared to 2.6%, a difference of 43.2%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 49.0%, a difference of 6.8%), cognitive disability (16.7% compared to 18.0%, a difference of 8.1%), and self-care disability (2.3% compared to 2.6%, a difference of 16.9%).
Disability Metric | Burmese | Potawatomi |
Disability | Exceptional 10.4% | Tragic 14.2% |
Males | Exceptional 10.0% | Tragic 14.2% |
Females | Exceptional 10.7% | Tragic 14.1% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.4% |
Age | 5 to 17 years | Exceptional 4.8% | Tragic 6.5% |
Age | 18 to 34 years | Exceptional 6.0% | Tragic 8.2% |
Age | 35 to 64 years | Exceptional 9.2% | Tragic 14.8% |
Age | 65 to 74 years | Exceptional 20.6% | Tragic 27.0% |
Age | Over 75 years | Exceptional 45.9% | Tragic 49.0% |
Vision | Exceptional 1.8% | Tragic 2.6% |
Hearing | Exceptional 2.8% | Tragic 4.1% |
Cognitive | Exceptional 16.7% | Tragic 18.0% |
Ambulatory | Exceptional 5.3% | Tragic 7.3% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |