Indian (Asian) vs Immigrants from Zimbabwe Community Comparison
COMPARE
Indian (Asian)
Immigrants from Zimbabwe
Social Comparison
Social Comparison
Indians (Asian)
Immigrants from Zimbabwe
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
9,270
SOCIAL INDEX
90.2/ 100
SOCIAL RATING
24th/ 347
SOCIAL RANK
Immigrants from Zimbabwe Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 116,686,757 people shows no correlation between the proportion of Immigrants from Zimbabwe within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.004. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.000% in Immigrants from Zimbabwe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.0 Immigrants from Zimbabwe.
Indian (Asian) vs Immigrants from Zimbabwe Income
When considering income, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $97,880, a difference of 22.1%), median household income ($105,262 compared to $89,496, a difference of 17.6%), and householder income ages 45 - 64 years ($122,343 compared to $104,992, a difference of 16.5%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 25.3%, a difference of 4.4%), householder income over 65 years ($70,238 compared to $63,643, a difference of 10.4%), and median female earnings ($46,481 compared to $41,527, a difference of 11.9%).
Income Metric | Indian (Asian) | Immigrants from Zimbabwe |
Per Capita Income | Exceptional $53,874 | Exceptional $47,394 |
Median Family Income | Exceptional $125,312 | Exceptional $108,830 |
Median Household Income | Exceptional $105,262 | Exceptional $89,496 |
Median Earnings | Exceptional $56,253 | Exceptional $48,913 |
Median Male Earnings | Exceptional $66,078 | Exceptional $57,352 |
Median Female Earnings | Exceptional $46,481 | Exceptional $41,527 |
Householder Age | Under 25 years | Exceptional $58,239 | Fair $51,914 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Excellent $97,880 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $104,992 |
Householder Age | Over 65 years | Exceptional $70,238 | Exceptional $63,643 |
Wage/Income Gap | Poor 26.4% | Good 25.3% |
Indian (Asian) vs Immigrants from Zimbabwe Poverty
When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 15.8%, a difference of 17.7%), child poverty among girls under 16 (13.3% compared to 15.3%, a difference of 14.7%), and child poverty among boys under 16 (13.3% compared to 15.2%, a difference of 14.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.8%, a difference of 1.1%), male poverty (10.4% compared to 10.5%, a difference of 1.3%), and poverty (11.3% compared to 11.6%, a difference of 2.4%).
Poverty Metric | Indian (Asian) | Immigrants from Zimbabwe |
Poverty | Exceptional 11.3% | Exceptional 11.6% |
Families | Exceptional 7.7% | Exceptional 8.2% |
Males | Exceptional 10.4% | Exceptional 10.5% |
Females | Exceptional 12.2% | Exceptional 12.6% |
Females 18 to 24 years | Excellent 19.6% | Good 19.8% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.6% |
Children Under 5 years | Exceptional 13.4% | Exceptional 15.8% |
Children Under 16 years | Exceptional 13.1% | Exceptional 15.0% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 15.2% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 15.3% |
Single Males | Exceptional 11.3% | Good 12.6% |
Single Females | Exceptional 17.9% | Exceptional 20.0% |
Single Fathers | Exceptional 14.8% | Good 16.1% |
Single Mothers | Exceptional 25.8% | Exceptional 28.1% |
Married Couples | Exceptional 4.8% | Exceptional 4.3% |
Seniors Over 65 years | Fair 11.1% | Exceptional 10.3% |
Seniors Over 75 years | Tragic 12.7% | Excellent 11.7% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 9.9% |
Indian (Asian) vs Immigrants from Zimbabwe Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 9.0%, a difference of 13.4%), unemployment among women with children under 6 years (6.3% compared to 7.1%, a difference of 12.9%), and unemployment among ages 55 to 59 years (4.9% compared to 4.5%, a difference of 11.0%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.19%), unemployment among ages 25 to 29 years (6.3% compared to 6.1%, a difference of 2.4%), and unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 2.5%).
Unemployment Metric | Indian (Asian) | Immigrants from Zimbabwe |
Unemployment | Excellent 5.1% | Exceptional 4.9% |
Males | Good 5.2% | Exceptional 4.9% |
Females | Excellent 5.1% | Exceptional 4.9% |
Youth < 25 | Good 11.5% | Exceptional 10.8% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.3% |
Age | 20 to 24 years | Good 10.3% | Exceptional 9.5% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.1% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.1% |
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 4.5% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.6% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.1% |
Seniors > 65 | Average 5.2% | Exceptional 5.0% |
Seniors > 75 | Exceptional 8.0% | Tragic 9.0% |
Women w/ Children < 6 | Exceptional 6.3% | Exceptional 7.1% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.2% |
Indian (Asian) vs Immigrants from Zimbabwe Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.0%, a difference of 19.2%), in labor force | age 20-24 (71.9% compared to 75.9%, a difference of 5.5%), and in labor force | age > 16 (65.5% compared to 66.8%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.4%, a difference of 0.040%), in labor force | age 30-34 (85.4% compared to 85.1%, a difference of 0.26%), and in labor force | age 35-44 (84.8% compared to 85.2%, a difference of 0.49%).
Labor Participation Metric | Indian (Asian) | Immigrants from Zimbabwe |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 66.8% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.5% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 38.0% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 75.9% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.2% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.1% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.4% |
Indian (Asian) vs Immigrants from Zimbabwe Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in single mother households (5.1% compared to 6.2%, a difference of 20.7%), births to unmarried women (25.3% compared to 30.3%, a difference of 20.1%), and single father households (1.9% compared to 2.2%, a difference of 17.7%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.8%, a difference of 0.89%), average family size (3.24 compared to 3.19, a difference of 1.7%), and family households (65.1% compared to 63.5%, a difference of 2.6%).
Family Structure Metric | Indian (Asian) | Immigrants from Zimbabwe |
Family Households | Exceptional 65.1% | Tragic 63.5% |
Family Households with Children | Good 27.6% | Exceptional 27.8% |
Married-couple Households | Exceptional 48.7% | Average 46.3% |
Average Family Size | Good 3.24 | Tragic 3.19 |
Single Father Households | Exceptional 1.9% | Exceptional 2.2% |
Single Mother Households | Exceptional 5.1% | Good 6.2% |
Currently Married | Exceptional 48.0% | Average 46.7% |
Divorced or Separated | Exceptional 10.2% | Excellent 11.9% |
Births to Unmarried Women | Exceptional 25.3% | Excellent 30.3% |
Indian (Asian) vs Immigrants from Zimbabwe Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in no vehicles in household (14.1% compared to 9.9%, a difference of 42.7%), 4 or more vehicles in household (6.4% compared to 6.0%, a difference of 6.4%), and 1 or more vehicles in household (86.0% compared to 90.2%, a difference of 4.8%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.1%, a difference of 0.050%), 2 or more vehicles in household (53.1% compared to 55.6%, a difference of 4.7%), and 1 or more vehicles in household (86.0% compared to 90.2%, a difference of 4.8%).
Vehicle Availability Metric | Indian (Asian) | Immigrants from Zimbabwe |
No Vehicles Available | Tragic 14.1% | Excellent 9.9% |
1+ Vehicles Available | Tragic 86.0% | Excellent 90.2% |
2+ Vehicles Available | Tragic 53.1% | Good 55.6% |
3+ Vehicles Available | Fair 19.1% | Fair 19.1% |
4+ Vehicles Available | Good 6.4% | Poor 6.0% |
Indian (Asian) vs Immigrants from Zimbabwe Education Level
When considering education level, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in doctorate degree (2.9% compared to 2.2%, a difference of 33.2%), no schooling completed (2.5% compared to 1.9%, a difference of 32.7%), and professional degree (6.5% compared to 5.3%, a difference of 23.7%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.1%, a difference of 0.020%), nursery school (97.6% compared to 98.2%, a difference of 0.56%), and kindergarten (97.6% compared to 98.2%, a difference of 0.57%).
Education Level Metric | Indian (Asian) | Immigrants from Zimbabwe |
No Schooling Completed | Tragic 2.5% | Exceptional 1.9% |
Nursery School | Tragic 97.6% | Exceptional 98.2% |
Kindergarten | Tragic 97.6% | Exceptional 98.2% |
1st Grade | Tragic 97.5% | Exceptional 98.1% |
2nd Grade | Tragic 97.5% | Exceptional 98.1% |
3rd Grade | Tragic 97.4% | Exceptional 98.0% |
4th Grade | Tragic 97.2% | Exceptional 97.8% |
5th Grade | Tragic 96.9% | Exceptional 97.6% |
6th Grade | Tragic 96.6% | Exceptional 97.4% |
7th Grade | Tragic 95.5% | Exceptional 96.5% |
8th Grade | Tragic 95.2% | Exceptional 96.3% |
9th Grade | Tragic 94.5% | Exceptional 95.5% |
10th Grade | Poor 93.4% | Exceptional 94.4% |
11th Grade | Average 92.5% | Exceptional 93.4% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.1% |
High School Diploma | Good 89.6% | Exceptional 90.3% |
GED/Equivalency | Exceptional 87.1% | Exceptional 87.1% |
College, Under 1 year | Exceptional 70.8% | Exceptional 68.9% |
College, 1 year or more | Exceptional 66.1% | Exceptional 63.3% |
Associate's Degree | Exceptional 54.8% | Exceptional 50.5% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 42.6% |
Master's Degree | Exceptional 20.5% | Exceptional 17.4% |
Professional Degree | Exceptional 6.5% | Exceptional 5.3% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.2% |
Indian (Asian) vs Immigrants from Zimbabwe Disability
When considering disability, the most significant differences between Indian (Asian) and Immigrants from Zimbabwe communities in the United States are seen in disability age 5 to 17 (4.6% compared to 5.5%, a difference of 20.9%), disability age 18 to 34 (5.5% compared to 6.7%, a difference of 20.3%), and disability age 35 to 64 (8.9% compared to 10.6%, a difference of 20.3%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.2%, a difference of 1.4%), self-care disability (2.3% compared to 2.3%, a difference of 4.0%), and cognitive disability (16.8% compared to 17.5%, a difference of 4.1%).
Disability Metric | Indian (Asian) | Immigrants from Zimbabwe |
Disability | Exceptional 10.3% | Exceptional 11.2% |
Males | Exceptional 9.7% | Exceptional 10.8% |
Females | Exceptional 10.8% | Exceptional 11.6% |
Age | Under 5 years | Exceptional 1.0% | Good 1.2% |
Age | 5 to 17 years | Exceptional 4.6% | Good 5.5% |
Age | 18 to 34 years | Exceptional 5.5% | Fair 6.7% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 10.6% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 22.3% |
Age | Over 75 years | Exceptional 46.5% | Good 47.2% |
Vision | Exceptional 1.8% | Exceptional 2.1% |
Hearing | Exceptional 2.7% | Good 3.0% |
Cognitive | Exceptional 16.8% | Poor 17.5% |
Ambulatory | Exceptional 5.4% | Exceptional 5.6% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |