Indian (Asian) vs Zimbabwean Community Comparison
COMPARE
Indian (Asian)
Zimbabwean
Social Comparison
Social Comparison
Indians (Asian)
Zimbabweans
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
Zimbabwean Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 68,827,995 people shows a poor positive correlation between the proportion of Zimbabweans within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.157. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.001% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 1.1 Zimbabweans.
Indian (Asian) vs Zimbabwean Income
When considering income, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $98,586, a difference of 21.2%), per capita income ($53,874 compared to $45,804, a difference of 17.6%), and median male earnings ($66,078 compared to $56,302, a difference of 17.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 26.3%, a difference of 0.53%), householder income over 65 years ($70,238 compared to $65,854, a difference of 6.7%), and householder income under 25 years ($58,239 compared to $51,259, a difference of 13.6%).
Income Metric | Indian (Asian) | Zimbabwean |
Per Capita Income | Exceptional $53,874 | Exceptional $45,804 |
Median Family Income | Exceptional $125,312 | Exceptional $110,011 |
Median Household Income | Exceptional $105,262 | Exceptional $90,618 |
Median Earnings | Exceptional $56,253 | Exceptional $48,229 |
Median Male Earnings | Exceptional $66,078 | Excellent $56,302 |
Median Female Earnings | Exceptional $46,481 | Exceptional $40,798 |
Householder Age | Under 25 years | Exceptional $58,239 | Tragic $51,259 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $98,586 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $106,849 |
Householder Age | Over 65 years | Exceptional $70,238 | Exceptional $65,854 |
Wage/Income Gap | Poor 26.4% | Fair 26.3% |
Indian (Asian) vs Zimbabwean Poverty
When considering poverty, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in married-couple family poverty (4.8% compared to 4.1%, a difference of 18.2%), single male poverty (11.3% compared to 13.1%, a difference of 16.3%), and seniors poverty over the age of 65 (11.1% compared to 9.6%, a difference of 15.4%). Conversely, both communities are more comparable in terms of female poverty (12.2% compared to 12.3%, a difference of 0.49%), poverty (11.3% compared to 11.3%, a difference of 0.56%), and family poverty (7.7% compared to 7.8%, a difference of 1.1%).
Poverty Metric | Indian (Asian) | Zimbabwean |
Poverty | Exceptional 11.3% | Exceptional 11.3% |
Families | Exceptional 7.7% | Exceptional 7.8% |
Males | Exceptional 10.4% | Exceptional 10.2% |
Females | Exceptional 12.2% | Exceptional 12.3% |
Females 18 to 24 years | Excellent 19.6% | Fair 20.4% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 11.7% |
Children Under 5 years | Exceptional 13.4% | Exceptional 15.2% |
Children Under 16 years | Exceptional 13.1% | Exceptional 14.2% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 14.3% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 14.4% |
Single Males | Exceptional 11.3% | Poor 13.1% |
Single Females | Exceptional 17.9% | Exceptional 19.5% |
Single Fathers | Exceptional 14.8% | Exceptional 15.6% |
Single Mothers | Exceptional 25.8% | Exceptional 27.9% |
Married Couples | Exceptional 4.8% | Exceptional 4.1% |
Seniors Over 65 years | Fair 11.1% | Exceptional 9.6% |
Seniors Over 75 years | Tragic 12.7% | Exceptional 11.2% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 9.5% |
Indian (Asian) vs Zimbabwean Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in unemployment among ages 55 to 59 years (4.9% compared to 4.2%, a difference of 16.8%), unemployment among women with children under 6 years (6.3% compared to 7.3%, a difference of 16.6%), and unemployment among youth under 25 years (11.5% compared to 10.2%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 1.9%), unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 2.4%), and unemployment among women with children under 18 years (4.9% compared to 5.1%, a difference of 4.8%).
Unemployment Metric | Indian (Asian) | Zimbabwean |
Unemployment | Excellent 5.1% | Exceptional 4.8% |
Males | Good 5.2% | Exceptional 4.8% |
Females | Excellent 5.1% | Exceptional 4.8% |
Youth < 25 | Good 11.5% | Exceptional 10.2% |
Age | 16 to 19 years | Good 17.3% | Exceptional 15.4% |
Age | 20 to 24 years | Good 10.3% | Exceptional 9.2% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.4% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 4.8% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.2% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.2% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.5% |
Age | 65 to 74 years | Average 5.3% | Tragic 5.9% |
Seniors > 65 | Average 5.2% | Tragic 5.6% |
Seniors > 75 | Exceptional 8.0% | Average 8.7% |
Women w/ Children < 6 | Exceptional 6.3% | Exceptional 7.3% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 8.6% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.1% |
Indian (Asian) vs Zimbabwean Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.7%, a difference of 21.5%), in labor force | age 20-24 (71.9% compared to 75.6%, a difference of 5.2%), and in labor force | age > 16 (65.5% compared to 67.3%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.5%, a difference of 0.26%), in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.32%), and in labor force | age 45-54 (83.3% compared to 84.0%, a difference of 0.85%).
Labor Participation Metric | Indian (Asian) | Zimbabwean |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 67.3% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 81.0% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 38.7% |
In Labor Force | Age 20-24 | Tragic 71.9% | Excellent 75.6% |
In Labor Force | Age 25-29 | Good 84.7% | Fair 84.5% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.6% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 86.1% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 84.0% |
Indian (Asian) vs Zimbabwean Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in single mother households (5.1% compared to 6.1%, a difference of 18.7%), single father households (1.9% compared to 2.2%, a difference of 16.0%), and births to unmarried women (25.3% compared to 28.7%, a difference of 13.6%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.9%, a difference of 1.2%), average family size (3.24 compared to 3.20, a difference of 1.4%), and family households (65.1% compared to 64.1%, a difference of 1.7%).
Family Structure Metric | Indian (Asian) | Zimbabwean |
Family Households | Exceptional 65.1% | Fair 64.1% |
Family Households with Children | Good 27.6% | Exceptional 27.9% |
Married-couple Households | Exceptional 48.7% | Excellent 47.4% |
Average Family Size | Good 3.24 | Poor 3.20 |
Single Father Households | Exceptional 1.9% | Exceptional 2.2% |
Single Mother Households | Exceptional 5.1% | Excellent 6.1% |
Currently Married | Exceptional 48.0% | Good 47.0% |
Divorced or Separated | Exceptional 10.2% | Exceptional 11.6% |
Births to Unmarried Women | Exceptional 25.3% | Exceptional 28.7% |
Indian (Asian) vs Zimbabwean Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in no vehicles in household (14.1% compared to 9.0%, a difference of 55.6%), 2 or more vehicles in household (53.1% compared to 57.2%, a difference of 7.8%), and 3 or more vehicles in household (19.1% compared to 20.3%, a difference of 6.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.4%, a difference of 0.090%), 1 or more vehicles in household (86.0% compared to 91.0%, a difference of 5.8%), and 3 or more vehicles in household (19.1% compared to 20.3%, a difference of 6.0%).
Vehicle Availability Metric | Indian (Asian) | Zimbabwean |
No Vehicles Available | Tragic 14.1% | Exceptional 9.0% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 91.0% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 57.2% |
3+ Vehicles Available | Fair 19.1% | Excellent 20.3% |
4+ Vehicles Available | Good 6.4% | Good 6.4% |
Indian (Asian) vs Zimbabwean Education Level
When considering education level, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in no schooling completed (2.5% compared to 1.7%, a difference of 43.2%), doctorate degree (2.9% compared to 2.3%, a difference of 28.1%), and professional degree (6.5% compared to 5.2%, a difference of 25.5%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.3%, a difference of 0.69%), kindergarten (97.6% compared to 98.3%, a difference of 0.69%), and 3rd grade (97.4% compared to 98.1%, a difference of 0.74%).
Education Level Metric | Indian (Asian) | Zimbabwean |
No Schooling Completed | Tragic 2.5% | Exceptional 1.7% |
Nursery School | Tragic 97.6% | Exceptional 98.3% |
Kindergarten | Tragic 97.6% | Exceptional 98.3% |
1st Grade | Tragic 97.5% | Exceptional 98.3% |
2nd Grade | Tragic 97.5% | Exceptional 98.2% |
3rd Grade | Tragic 97.4% | Exceptional 98.1% |
4th Grade | Tragic 97.2% | Exceptional 97.9% |
5th Grade | Tragic 96.9% | Exceptional 97.8% |
6th Grade | Tragic 96.6% | Exceptional 97.6% |
7th Grade | Tragic 95.5% | Exceptional 96.8% |
8th Grade | Tragic 95.2% | Exceptional 96.5% |
9th Grade | Tragic 94.5% | Exceptional 95.9% |
10th Grade | Poor 93.4% | Exceptional 94.9% |
11th Grade | Average 92.5% | Exceptional 93.9% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.7% |
High School Diploma | Good 89.6% | Exceptional 91.1% |
GED/Equivalency | Exceptional 87.1% | Exceptional 88.0% |
College, Under 1 year | Exceptional 70.8% | Exceptional 69.9% |
College, 1 year or more | Exceptional 66.1% | Exceptional 64.2% |
Associate's Degree | Exceptional 54.8% | Exceptional 51.3% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 43.3% |
Master's Degree | Exceptional 20.5% | Exceptional 17.7% |
Professional Degree | Exceptional 6.5% | Exceptional 5.2% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.3% |
Indian (Asian) vs Zimbabwean Disability
When considering disability, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in disability age 5 to 17 (4.6% compared to 5.5%, a difference of 21.5%), disability age 35 to 64 (8.9% compared to 10.4%, a difference of 18.0%), and disability age under 5 (1.0% compared to 1.2%, a difference of 17.4%). Conversely, both communities are more comparable in terms of ambulatory disability (5.4% compared to 5.4%, a difference of 0.60%), disability age over 75 (46.5% compared to 48.1%, a difference of 3.3%), and female disability (10.8% compared to 11.3%, a difference of 4.5%).
Disability Metric | Indian (Asian) | Zimbabwean |
Disability | Exceptional 10.3% | Exceptional 10.9% |
Males | Exceptional 9.7% | Exceptional 10.6% |
Females | Exceptional 10.8% | Exceptional 11.3% |
Age | Under 5 years | Exceptional 1.0% | Exceptional 1.2% |
Age | 5 to 17 years | Exceptional 4.6% | Good 5.5% |
Age | 18 to 34 years | Exceptional 5.5% | Good 6.5% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 10.4% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 21.5% |
Age | Over 75 years | Exceptional 46.5% | Tragic 48.1% |
Vision | Exceptional 1.8% | Exceptional 2.0% |
Hearing | Exceptional 2.7% | Excellent 2.8% |
Cognitive | Exceptional 16.8% | Tragic 17.6% |
Ambulatory | Exceptional 5.4% | Exceptional 5.4% |
Self-Care | Exceptional 2.3% | Exceptional 2.2% |