Australian vs Mongolian Community Comparison
COMPARE
Australian
Mongolian
Social Comparison
Social Comparison
Australians
Mongolians
9,058
SOCIAL INDEX
88.0/ 100
SOCIAL RATING
32nd/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
Mongolian Integration in Australian Communities
The statistical analysis conducted on geographies consisting of 104,604,746 people shows a moderate positive correlation between the proportion of Mongolians within Australian communities in the United States with a correlation coefficient (R) of 0.467. On average, for every 1% (one percent) increase in Australians within a typical geography, there is an increase of 0.118% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Australians corresponds to an increase of 118.5 Mongolians.
Australian vs Mongolian Income
When considering income, the most significant differences between Australian and Mongolian communities in the United States are seen in per capita income ($52,074 compared to $49,173, a difference of 5.9%), wage/income gap (28.2% compared to 26.6%, a difference of 5.8%), and median male earnings ($62,857 compared to $60,350, a difference of 4.2%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($113,533 compared to $111,602, a difference of 1.7%), median female earnings ($43,308 compared to $42,542, a difference of 1.8%), and householder income under 25 years ($53,739 compared to $52,540, a difference of 2.3%).
Income Metric | Australian | Mongolian |
Per Capita Income | Exceptional $52,074 | Exceptional $49,173 |
Median Family Income | Exceptional $118,440 | Exceptional $114,553 |
Median Household Income | Exceptional $96,490 | Exceptional $93,971 |
Median Earnings | Exceptional $52,294 | Exceptional $51,038 |
Median Male Earnings | Exceptional $62,857 | Exceptional $60,350 |
Median Female Earnings | Exceptional $43,308 | Exceptional $42,542 |
Householder Age | Under 25 years | Exceptional $53,739 | Good $52,540 |
Householder Age | 25 - 44 years | Exceptional $107,912 | Exceptional $104,578 |
Householder Age | 45 - 64 years | Exceptional $113,533 | Exceptional $111,602 |
Householder Age | Over 65 years | Exceptional $66,891 | Exceptional $65,326 |
Wage/Income Gap | Tragic 28.2% | Poor 26.6% |
Australian vs Mongolian Poverty
When considering poverty, the most significant differences between Australian and Mongolian communities in the United States are seen in married-couple family poverty (4.3% compared to 5.0%, a difference of 16.2%), family poverty (7.8% compared to 8.6%, a difference of 9.9%), and seniors poverty over the age of 65 (9.9% compared to 10.9%, a difference of 9.2%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.8% compared to 12.8%, a difference of 0.39%), single female poverty (20.3% compared to 20.2%, a difference of 0.96%), and single mother poverty (28.3% compared to 27.7%, a difference of 2.3%).
Poverty Metric | Australian | Mongolian |
Poverty | Exceptional 11.4% | Average 12.4% |
Families | Exceptional 7.8% | Excellent 8.6% |
Males | Exceptional 10.4% | Fair 11.3% |
Females | Exceptional 12.5% | Average 13.4% |
Females 18 to 24 years | Tragic 20.8% | Tragic 21.6% |
Females 25 to 34 years | Exceptional 12.8% | Exceptional 12.8% |
Children Under 5 years | Exceptional 15.5% | Exceptional 16.1% |
Children Under 16 years | Exceptional 14.4% | Excellent 15.2% |
Boys Under 16 years | Exceptional 14.7% | Exceptional 15.4% |
Girls Under 16 years | Exceptional 14.8% | Excellent 15.4% |
Single Males | Good 12.6% | Exceptional 12.2% |
Single Females | Excellent 20.3% | Exceptional 20.2% |
Single Fathers | Exceptional 15.7% | Exceptional 15.3% |
Single Mothers | Exceptional 28.3% | Exceptional 27.7% |
Married Couples | Exceptional 4.3% | Good 5.0% |
Seniors Over 65 years | Exceptional 9.9% | Average 10.9% |
Seniors Over 75 years | Exceptional 11.5% | Average 12.2% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 10.5% |
Australian vs Mongolian Unemployment
When considering unemployment, the most significant differences between Australian and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.5%, a difference of 11.4%), unemployment among ages 55 to 59 years (4.8% compared to 4.6%, a difference of 5.0%), and unemployment among women with children under 18 years (5.2% compared to 5.0%, a difference of 3.6%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.36%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.75%), and unemployment among youth under 25 years (10.9% compared to 11.1%, a difference of 1.2%).
Unemployment Metric | Australian | Mongolian |
Unemployment | Exceptional 4.9% | Exceptional 5.0% |
Males | Exceptional 5.0% | Excellent 5.1% |
Females | Exceptional 4.9% | Exceptional 5.0% |
Youth < 25 | Exceptional 10.9% | Exceptional 11.1% |
Age | 16 to 19 years | Excellent 17.2% | Exceptional 16.9% |
Age | 20 to 24 years | Exceptional 9.6% | Exceptional 9.9% |
Age | 25 to 29 years | Exceptional 6.4% | Exceptional 6.2% |
Age | 30 to 34 years | Excellent 5.3% | Exceptional 5.2% |
Age | 35 to 44 years | Exceptional 4.5% | Exceptional 4.3% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.3% |
Age | 55 to 59 years | Average 4.8% | Exceptional 4.6% |
Age | 60 to 64 years | Good 4.8% | Excellent 4.8% |
Age | 65 to 74 years | Exceptional 5.3% | Good 5.3% |
Seniors > 65 | Excellent 5.1% | Average 5.1% |
Seniors > 75 | Average 8.7% | Excellent 8.6% |
Women w/ Children < 6 | Exceptional 7.2% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 8.5% | Exceptional 8.4% |
Women w/ Children < 18 | Exceptional 5.2% | Exceptional 5.0% |
Australian vs Mongolian Labor Participation
When considering labor participation, the most significant differences between Australian and Mongolian communities in the United States are seen in in labor force | age 16-19 (37.8% compared to 35.3%, a difference of 7.1%), in labor force | age 20-24 (75.5% compared to 73.3%, a difference of 3.0%), and in labor force | age > 16 (65.3% compared to 66.1%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.9% compared to 85.1%, a difference of 0.21%), in labor force | age 30-34 (85.0% compared to 85.3%, a difference of 0.30%), and in labor force | age 20-64 (79.5% compared to 79.9%, a difference of 0.52%).
Labor Participation Metric | Australian | Mongolian |
In Labor Force | Age > 16 | Good 65.3% | Exceptional 66.1% |
In Labor Force | Age 20-64 | Average 79.5% | Exceptional 79.9% |
In Labor Force | Age 16-19 | Exceptional 37.8% | Tragic 35.3% |
In Labor Force | Age 20-24 | Excellent 75.5% | Tragic 73.3% |
In Labor Force | Age 25-29 | Excellent 84.9% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Exceptional 85.0% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Fair 84.3% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Fair 82.5% | Exceptional 83.3% |
Australian vs Mongolian Family Structure
When considering family structure, the most significant differences between Australian and Mongolian communities in the United States are seen in divorced or separated (11.9% compared to 11.1%, a difference of 7.4%), single father households (2.2% compared to 2.1%, a difference of 6.0%), and births to unmarried women (29.5% compared to 27.9%, a difference of 5.8%). Conversely, both communities are more comparable in terms of family households (62.8% compared to 62.8%, a difference of 0.10%), average family size (3.13 compared to 3.20, a difference of 2.1%), and married-couple households (47.4% compared to 46.3%, a difference of 2.3%).
Family Structure Metric | Australian | Mongolian |
Family Households | Tragic 62.8% | Tragic 62.8% |
Family Households with Children | Tragic 26.9% | Good 27.6% |
Married-couple Households | Excellent 47.4% | Average 46.3% |
Average Family Size | Tragic 3.13 | Poor 3.20 |
Single Father Households | Exceptional 2.2% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.6% | Exceptional 5.8% |
Currently Married | Exceptional 47.6% | Fair 46.4% |
Divorced or Separated | Excellent 11.9% | Exceptional 11.1% |
Births to Unmarried Women | Exceptional 29.5% | Exceptional 27.9% |
Australian vs Mongolian Vehicle Availability
When considering vehicle availability, the most significant differences between Australian and Mongolian communities in the United States are seen in no vehicles in household (10.1% compared to 13.1%, a difference of 30.0%), 4 or more vehicles in household (6.6% compared to 5.8%, a difference of 13.0%), and 3 or more vehicles in household (20.1% compared to 18.1%, a difference of 11.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 87.0%, a difference of 3.5%), 2 or more vehicles in household (56.7% compared to 52.8%, a difference of 7.3%), and 3 or more vehicles in household (20.1% compared to 18.1%, a difference of 11.0%).
Vehicle Availability Metric | Australian | Mongolian |
No Vehicles Available | Good 10.1% | Tragic 13.1% |
1+ Vehicles Available | Good 90.0% | Tragic 87.0% |
2+ Vehicles Available | Exceptional 56.7% | Tragic 52.8% |
3+ Vehicles Available | Excellent 20.1% | Tragic 18.1% |
4+ Vehicles Available | Excellent 6.6% | Tragic 5.8% |
Australian vs Mongolian Education Level
When considering education level, the most significant differences between Australian and Mongolian communities in the United States are seen in no schooling completed (1.6% compared to 2.1%, a difference of 30.9%), doctorate degree (2.4% compared to 2.8%, a difference of 15.1%), and master's degree (18.4% compared to 19.4%, a difference of 5.5%). Conversely, both communities are more comparable in terms of college, 1 year or more (64.6% compared to 64.8%, a difference of 0.33%), nursery school (98.5% compared to 97.9%, a difference of 0.55%), and kindergarten (98.4% compared to 97.9%, a difference of 0.55%).
Education Level Metric | Australian | Mongolian |
No Schooling Completed | Exceptional 1.6% | Average 2.1% |
Nursery School | Exceptional 98.5% | Fair 97.9% |
Kindergarten | Exceptional 98.4% | Fair 97.9% |
1st Grade | Exceptional 98.4% | Fair 97.9% |
2nd Grade | Exceptional 98.4% | Fair 97.8% |
3rd Grade | Exceptional 98.3% | Fair 97.7% |
4th Grade | Exceptional 98.1% | Fair 97.5% |
5th Grade | Exceptional 98.0% | Fair 97.3% |
6th Grade | Exceptional 97.8% | Average 97.0% |
7th Grade | Exceptional 97.0% | Average 96.0% |
8th Grade | Exceptional 96.7% | Average 95.8% |
9th Grade | Exceptional 96.0% | Good 95.0% |
10th Grade | Exceptional 95.1% | Good 94.0% |
11th Grade | Exceptional 94.1% | Excellent 93.0% |
12th Grade, No Diploma | Exceptional 92.9% | Excellent 91.8% |
High School Diploma | Exceptional 91.2% | Exceptional 89.9% |
GED/Equivalency | Exceptional 88.1% | Exceptional 87.0% |
College, Under 1 year | Exceptional 70.4% | Exceptional 69.9% |
College, 1 year or more | Exceptional 64.6% | Exceptional 64.8% |
Associate's Degree | Exceptional 51.9% | Exceptional 53.0% |
Bachelor's Degree | Exceptional 44.0% | Exceptional 45.4% |
Master's Degree | Exceptional 18.4% | Exceptional 19.4% |
Professional Degree | Exceptional 5.9% | Exceptional 6.1% |
Doctorate Degree | Exceptional 2.4% | Exceptional 2.8% |
Australian vs Mongolian Disability
When considering disability, the most significant differences between Australian and Mongolian communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 20.4%), hearing disability (3.2% compared to 2.7%, a difference of 15.6%), and male disability (11.3% compared to 10.3%, a difference of 9.4%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.75%), disability age 65 to 74 (22.0% compared to 21.8%, a difference of 1.2%), and disability age over 75 (45.7% compared to 46.3%, a difference of 1.5%).
Disability Metric | Australian | Mongolian |
Disability | Excellent 11.5% | Exceptional 10.8% |
Males | Average 11.3% | Exceptional 10.3% |
Females | Exceptional 11.7% | Exceptional 11.2% |
Age | Under 5 years | Tragic 1.4% | Exceptional 1.1% |
Age | 5 to 17 years | Good 5.5% | Exceptional 5.3% |
Age | 18 to 34 years | Poor 6.8% | Exceptional 6.2% |
Age | 35 to 64 years | Exceptional 10.8% | Exceptional 10.1% |
Age | 65 to 74 years | Exceptional 22.0% | Exceptional 21.8% |
Age | Over 75 years | Exceptional 45.7% | Exceptional 46.3% |
Vision | Exceptional 2.1% | Exceptional 1.9% |
Hearing | Tragic 3.2% | Exceptional 2.7% |
Cognitive | Good 17.2% | Tragic 17.7% |
Ambulatory | Exceptional 5.8% | Exceptional 5.5% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |