Zimbabwean vs Asian Community Comparison
COMPARE
Zimbabwean
Asian
Social Comparison
Social Comparison
Zimbabweans
Asians
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
Asian Integration in Zimbabwean Communities
The statistical analysis conducted on geographies consisting of 69,125,973 people shows no correlation between the proportion of Asians within Zimbabwean communities in the United States with a correlation coefficient (R) of -0.049. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is a decrease of 0.245% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to a decrease of 244.8 Asians.
Zimbabwean vs Asian Income
When considering income, the most significant differences between Zimbabwean and Asian communities in the United States are seen in householder income ages 25 - 44 years ($98,586 compared to $112,666, a difference of 14.3%), median male earnings ($56,302 compared to $63,827, a difference of 13.4%), and median household income ($90,618 compared to $101,681, a difference of 12.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.3% compared to 26.9%, a difference of 2.4%), householder income over 65 years ($65,854 compared to $68,822, a difference of 4.5%), and median family income ($110,011 compared to $119,955, a difference of 9.0%).
Income Metric | Zimbabwean | Asian |
Per Capita Income | Exceptional $45,804 | Exceptional $50,057 |
Median Family Income | Exceptional $110,011 | Exceptional $119,955 |
Median Household Income | Exceptional $90,618 | Exceptional $101,681 |
Median Earnings | Exceptional $48,229 | Exceptional $53,690 |
Median Male Earnings | Excellent $56,302 | Exceptional $63,827 |
Median Female Earnings | Exceptional $40,798 | Exceptional $44,586 |
Householder Age | Under 25 years | Tragic $51,259 | Exceptional $57,003 |
Householder Age | 25 - 44 years | Exceptional $98,586 | Exceptional $112,666 |
Householder Age | 45 - 64 years | Exceptional $106,849 | Exceptional $118,426 |
Householder Age | Over 65 years | Exceptional $65,854 | Exceptional $68,822 |
Wage/Income Gap | Fair 26.3% | Tragic 26.9% |
Zimbabwean vs Asian Poverty
When considering poverty, the most significant differences between Zimbabwean and Asian communities in the United States are seen in single male poverty (13.1% compared to 11.2%, a difference of 16.9%), married-couple family poverty (4.1% compared to 4.7%, a difference of 14.2%), and female poverty among 18-24 year olds (20.4% compared to 18.2%, a difference of 12.3%). Conversely, both communities are more comparable in terms of family poverty (7.8% compared to 7.7%, a difference of 0.91%), male poverty (10.2% compared to 10.0%, a difference of 1.8%), and receiving food stamps (9.5% compared to 9.7%, a difference of 2.1%).
Poverty Metric | Zimbabwean | Asian |
Poverty | Exceptional 11.3% | Exceptional 11.0% |
Families | Exceptional 7.8% | Exceptional 7.7% |
Males | Exceptional 10.2% | Exceptional 10.0% |
Females | Exceptional 12.3% | Exceptional 11.9% |
Females 18 to 24 years | Fair 20.4% | Exceptional 18.2% |
Females 25 to 34 years | Exceptional 11.7% | Exceptional 11.4% |
Children Under 5 years | Exceptional 15.2% | Exceptional 14.0% |
Children Under 16 years | Exceptional 14.2% | Exceptional 13.5% |
Boys Under 16 years | Exceptional 14.3% | Exceptional 13.5% |
Girls Under 16 years | Exceptional 14.4% | Exceptional 13.7% |
Single Males | Poor 13.1% | Exceptional 11.2% |
Single Females | Exceptional 19.5% | Exceptional 18.3% |
Single Fathers | Exceptional 15.6% | Exceptional 14.6% |
Single Mothers | Exceptional 27.9% | Exceptional 26.0% |
Married Couples | Exceptional 4.1% | Exceptional 4.7% |
Seniors Over 65 years | Exceptional 9.6% | Excellent 10.4% |
Seniors Over 75 years | Exceptional 11.2% | Good 12.0% |
Receiving Food Stamps | Exceptional 9.5% | Exceptional 9.7% |
Zimbabwean vs Asian Unemployment
When considering unemployment, the most significant differences between Zimbabwean and Asian communities in the United States are seen in unemployment among ages 65 to 74 years (5.9% compared to 5.3%, a difference of 12.9%), unemployment among youth under 25 years (10.2% compared to 11.4%, a difference of 12.3%), and unemployment among ages 55 to 59 years (4.2% compared to 4.7%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.4% compared to 6.3%, a difference of 1.0%), unemployment among women with children under 18 years (5.1% compared to 5.1%, a difference of 1.4%), and unemployment among ages 35 to 44 years (4.3% compared to 4.4%, a difference of 1.5%).
Unemployment Metric | Zimbabwean | Asian |
Unemployment | Exceptional 4.8% | Excellent 5.1% |
Males | Exceptional 4.8% | Exceptional 5.1% |
Females | Exceptional 4.8% | Good 5.2% |
Youth < 25 | Exceptional 10.2% | Good 11.4% |
Age | 16 to 19 years | Exceptional 15.4% | Exceptional 16.9% |
Age | 20 to 24 years | Exceptional 9.2% | Good 10.2% |
Age | 25 to 29 years | Exceptional 6.4% | Exceptional 6.3% |
Age | 30 to 34 years | Exceptional 4.8% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.3% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.2% | Exceptional 4.3% |
Age | 55 to 59 years | Exceptional 4.2% | Exceptional 4.7% |
Age | 60 to 64 years | Exceptional 4.5% | Average 4.9% |
Age | 65 to 74 years | Tragic 5.9% | Exceptional 5.3% |
Seniors > 65 | Tragic 5.6% | Excellent 5.1% |
Seniors > 75 | Average 8.7% | Exceptional 8.3% |
Women w/ Children < 6 | Exceptional 7.3% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Exceptional 8.6% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 5.1% | Exceptional 5.1% |
Zimbabwean vs Asian Labor Participation
When considering labor participation, the most significant differences between Zimbabwean and Asian communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 34.1%, a difference of 13.7%), in labor force | age 20-24 (75.6% compared to 73.7%, a difference of 2.6%), and in labor force | age 35-44 (86.1% compared to 84.7%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.8%, a difference of 0.40%), in labor force | age 30-34 (85.6% compared to 85.1%, a difference of 0.67%), and in labor force | age 45-54 (84.0% compared to 83.4%, a difference of 0.70%).
Labor Participation Metric | Zimbabwean | Asian |
In Labor Force | Age > 16 | Exceptional 67.3% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 81.0% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Exceptional 38.7% | Tragic 34.1% |
In Labor Force | Age 20-24 | Excellent 75.6% | Tragic 73.7% |
In Labor Force | Age 25-29 | Fair 84.5% | Good 84.8% |
In Labor Force | Age 30-34 | Exceptional 85.6% | Exceptional 85.1% |
In Labor Force | Age 35-44 | Exceptional 86.1% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 84.0% | Exceptional 83.4% |
Zimbabwean vs Asian Family Structure
When considering family structure, the most significant differences between Zimbabwean and Asian communities in the United States are seen in divorced or separated (11.6% compared to 10.6%, a difference of 8.8%), single mother households (6.1% compared to 5.6%, a difference of 8.5%), and births to unmarried women (28.7% compared to 26.8%, a difference of 7.1%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.28, a difference of 2.5%), currently married (47.0% compared to 48.4%, a difference of 3.0%), and family households (64.1% compared to 66.5%, a difference of 3.8%).
Family Structure Metric | Zimbabwean | Asian |
Family Households | Fair 64.1% | Exceptional 66.5% |
Family Households with Children | Exceptional 27.9% | Exceptional 29.1% |
Married-couple Households | Excellent 47.4% | Exceptional 49.5% |
Average Family Size | Poor 3.20 | Exceptional 3.28 |
Single Father Households | Exceptional 2.2% | Exceptional 2.1% |
Single Mother Households | Excellent 6.1% | Exceptional 5.6% |
Currently Married | Good 47.0% | Exceptional 48.4% |
Divorced or Separated | Exceptional 11.6% | Exceptional 10.6% |
Births to Unmarried Women | Exceptional 28.7% | Exceptional 26.8% |
Zimbabwean vs Asian Vehicle Availability
When considering vehicle availability, the most significant differences between Zimbabwean and Asian communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.0%, a difference of 8.9%), 3 or more vehicles in household (20.3% compared to 20.8%, a difference of 2.5%), and no vehicles in household (9.0% compared to 9.0%, a difference of 0.72%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 91.1%, a difference of 0.090%), 2 or more vehicles in household (57.2% compared to 57.0%, a difference of 0.45%), and no vehicles in household (9.0% compared to 9.0%, a difference of 0.72%).
Vehicle Availability Metric | Zimbabwean | Asian |
No Vehicles Available | Exceptional 9.0% | Exceptional 9.0% |
1+ Vehicles Available | Exceptional 91.0% | Exceptional 91.1% |
2+ Vehicles Available | Exceptional 57.2% | Exceptional 57.0% |
3+ Vehicles Available | Excellent 20.3% | Exceptional 20.8% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.0% |
Zimbabwean vs Asian Education Level
When considering education level, the most significant differences between Zimbabwean and Asian communities in the United States are seen in no schooling completed (1.7% compared to 2.4%, a difference of 38.8%), doctorate degree (2.3% compared to 2.4%, a difference of 6.9%), and professional degree (5.2% compared to 5.5%, a difference of 6.0%). Conversely, both communities are more comparable in terms of college, 1 year or more (64.2% compared to 64.2%, a difference of 0.030%), nursery school (98.3% compared to 97.6%, a difference of 0.68%), and kindergarten (98.3% compared to 97.6%, a difference of 0.68%).
Education Level Metric | Zimbabwean | Asian |
No Schooling Completed | Exceptional 1.7% | Tragic 2.4% |
Nursery School | Exceptional 98.3% | Tragic 97.6% |
Kindergarten | Exceptional 98.3% | Tragic 97.6% |
1st Grade | Exceptional 98.3% | Tragic 97.6% |
2nd Grade | Exceptional 98.2% | Tragic 97.5% |
3rd Grade | Exceptional 98.1% | Tragic 97.4% |
4th Grade | Exceptional 97.9% | Tragic 97.1% |
5th Grade | Exceptional 97.8% | Tragic 96.9% |
6th Grade | Exceptional 97.6% | Tragic 96.6% |
7th Grade | Exceptional 96.8% | Tragic 95.5% |
8th Grade | Exceptional 96.5% | Tragic 95.2% |
9th Grade | Exceptional 95.9% | Tragic 94.5% |
10th Grade | Exceptional 94.9% | Fair 93.5% |
11th Grade | Exceptional 93.9% | Average 92.5% |
12th Grade, No Diploma | Exceptional 92.7% | Good 91.4% |
High School Diploma | Exceptional 91.1% | Good 89.4% |
GED/Equivalency | Exceptional 88.0% | Exceptional 86.7% |
College, Under 1 year | Exceptional 69.9% | Exceptional 69.4% |
College, 1 year or more | Exceptional 64.2% | Exceptional 64.2% |
Associate's Degree | Exceptional 51.3% | Exceptional 52.1% |
Bachelor's Degree | Exceptional 43.3% | Exceptional 44.4% |
Master's Degree | Exceptional 17.7% | Exceptional 18.4% |
Professional Degree | Exceptional 5.2% | Exceptional 5.5% |
Doctorate Degree | Exceptional 2.3% | Exceptional 2.4% |
Zimbabwean vs Asian Disability
When considering disability, the most significant differences between Zimbabwean and Asian communities in the United States are seen in disability age 5 to 17 (5.5% compared to 4.8%, a difference of 15.5%), disability age 35 to 64 (10.4% compared to 9.4%, a difference of 11.4%), and disability age 18 to 34 (6.5% compared to 5.8%, a difference of 11.1%). Conversely, both communities are more comparable in terms of ambulatory disability (5.4% compared to 5.4%, a difference of 0.19%), disability age 65 to 74 (21.5% compared to 21.4%, a difference of 0.84%), and disability age over 75 (48.1% compared to 46.9%, a difference of 2.4%).
Disability Metric | Zimbabwean | Asian |
Disability | Exceptional 10.9% | Exceptional 10.4% |
Males | Exceptional 10.6% | Exceptional 10.0% |
Females | Exceptional 11.3% | Exceptional 10.9% |
Age | Under 5 years | Exceptional 1.2% | Exceptional 1.1% |
Age | 5 to 17 years | Good 5.5% | Exceptional 4.8% |
Age | 18 to 34 years | Good 6.5% | Exceptional 5.8% |
Age | 35 to 64 years | Exceptional 10.4% | Exceptional 9.4% |
Age | 65 to 74 years | Exceptional 21.5% | Exceptional 21.4% |
Age | Over 75 years | Tragic 48.1% | Excellent 46.9% |
Vision | Exceptional 2.0% | Exceptional 1.9% |
Hearing | Excellent 2.8% | Exceptional 2.7% |
Cognitive | Tragic 17.6% | Exceptional 16.7% |
Ambulatory | Exceptional 5.4% | Exceptional 5.4% |
Self-Care | Exceptional 2.2% | Exceptional 2.3% |