Indian (Asian) vs Ecuadorian Community Comparison
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Indian (Asian)
Ecuadorian
Social Comparison
Social Comparison
Indians (Asian)
Ecuadorians
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
2,199
SOCIAL INDEX
19.5/ 100
SOCIAL RATING
267th/ 347
SOCIAL RANK
Ecuadorian Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 309,503,317 people shows no correlation between the proportion of Ecuadorians within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.021. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.001% in Ecuadorians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 0.7 Ecuadorians.
Indian (Asian) vs Ecuadorian Income
When considering income, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in median family income ($125,312 compared to $95,114, a difference of 31.8%), householder income ages 45 - 64 years ($122,343 compared to $93,739, a difference of 30.5%), and householder income ages 25 - 44 years ($119,496 compared to $91,574, a difference of 30.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $53,911, a difference of 8.0%), wage/income gap (26.4% compared to 22.9%, a difference of 15.4%), and median female earnings ($46,481 compared to $39,117, a difference of 18.8%).
Income Metric | Indian (Asian) | Ecuadorian |
Per Capita Income | Exceptional $53,874 | Poor $41,958 |
Median Family Income | Exceptional $125,312 | Tragic $95,114 |
Median Household Income | Exceptional $105,262 | Poor $82,070 |
Median Earnings | Exceptional $56,253 | Poor $45,214 |
Median Male Earnings | Exceptional $66,078 | Tragic $51,596 |
Median Female Earnings | Exceptional $46,481 | Fair $39,117 |
Householder Age | Under 25 years | Exceptional $58,239 | Exceptional $53,911 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Poor $91,574 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Tragic $93,739 |
Householder Age | Over 65 years | Exceptional $70,238 | Tragic $54,958 |
Wage/Income Gap | Poor 26.4% | Exceptional 22.9% |
Indian (Asian) vs Ecuadorian Poverty
When considering poverty, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in receiving food stamps (9.6% compared to 14.9%, a difference of 54.5%), child poverty among boys under 16 (13.3% compared to 19.3%, a difference of 45.7%), and child poverty under the age of 16 (13.1% compared to 19.0%, a difference of 44.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.1%, a difference of 2.5%), single male poverty (11.3% compared to 12.5%, a difference of 11.0%), and single father poverty (14.8% compared to 16.5%, a difference of 11.5%).
Poverty Metric | Indian (Asian) | Ecuadorian |
Poverty | Exceptional 11.3% | Tragic 14.0% |
Families | Exceptional 7.7% | Tragic 10.8% |
Males | Exceptional 10.4% | Tragic 12.7% |
Females | Exceptional 12.2% | Tragic 15.3% |
Females 18 to 24 years | Excellent 19.6% | Exceptional 19.1% |
Females 25 to 34 years | Exceptional 11.2% | Tragic 14.3% |
Children Under 5 years | Exceptional 13.4% | Tragic 19.2% |
Children Under 16 years | Exceptional 13.1% | Tragic 19.0% |
Boys Under 16 years | Exceptional 13.3% | Tragic 19.3% |
Girls Under 16 years | Exceptional 13.3% | Tragic 18.8% |
Single Males | Exceptional 11.3% | Excellent 12.5% |
Single Females | Exceptional 17.9% | Poor 21.6% |
Single Fathers | Exceptional 14.8% | Fair 16.5% |
Single Mothers | Exceptional 25.8% | Tragic 30.8% |
Married Couples | Exceptional 4.8% | Tragic 6.5% |
Seniors Over 65 years | Fair 11.1% | Tragic 14.0% |
Seniors Over 75 years | Tragic 12.7% | Tragic 15.7% |
Receiving Food Stamps | Exceptional 9.6% | Tragic 14.9% |
Indian (Asian) vs Ecuadorian Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in unemployment among women with children under 18 years (4.9% compared to 6.5%, a difference of 33.2%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.0%, a difference of 29.8%), and unemployment among women with children under 6 years (6.3% compared to 7.9%, a difference of 25.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.0% compared to 8.6%, a difference of 7.9%), unemployment among seniors over 65 years (5.2% compared to 5.6%, a difference of 8.7%), and unemployment among ages 65 to 74 years (5.3% compared to 5.8%, a difference of 8.8%).
Unemployment Metric | Indian (Asian) | Ecuadorian |
Unemployment | Excellent 5.1% | Tragic 6.2% |
Males | Good 5.2% | Tragic 6.2% |
Females | Excellent 5.1% | Tragic 6.3% |
Youth < 25 | Good 11.5% | Tragic 13.3% |
Age | 16 to 19 years | Good 17.3% | Tragic 20.5% |
Age | 20 to 24 years | Good 10.3% | Tragic 11.8% |
Age | 25 to 29 years | Exceptional 6.3% | Tragic 7.4% |
Age | 30 to 34 years | Exceptional 5.1% | Tragic 6.3% |
Age | 35 to 44 years | Exceptional 4.4% | Tragic 5.4% |
Age | 45 to 54 years | Good 4.5% | Tragic 5.3% |
Age | 55 to 59 years | Tragic 4.9% | Tragic 5.6% |
Age | 60 to 64 years | Tragic 5.0% | Tragic 5.8% |
Age | 65 to 74 years | Average 5.3% | Tragic 5.8% |
Seniors > 65 | Average 5.2% | Tragic 5.6% |
Seniors > 75 | Exceptional 8.0% | Good 8.6% |
Women w/ Children < 6 | Exceptional 6.3% | Poor 7.9% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Tragic 10.0% |
Women w/ Children < 18 | Exceptional 4.9% | Tragic 6.5% |
Indian (Asian) vs Ecuadorian Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 31.4%, a difference of 1.5%), in labor force | age 45-54 (83.3% compared to 82.3%, a difference of 1.3%), and in labor force | age 30-34 (85.4% compared to 84.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.6%, a difference of 0.21%), in labor force | age 25-29 (84.7% compared to 84.4%, a difference of 0.41%), and in labor force | age 20-64 (79.9% compared to 79.4%, a difference of 0.64%).
Labor Participation Metric | Indian (Asian) | Ecuadorian |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 65.6% |
In Labor Force | Age 20-64 | Excellent 79.9% | Fair 79.4% |
In Labor Force | Age 16-19 | Tragic 31.9% | Tragic 31.4% |
In Labor Force | Age 20-24 | Tragic 71.9% | Tragic 72.4% |
In Labor Force | Age 25-29 | Good 84.7% | Poor 84.4% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Poor 84.4% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Fair 84.2% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Tragic 82.3% |
Indian (Asian) vs Ecuadorian Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in single mother households (5.1% compared to 7.2%, a difference of 40.9%), births to unmarried women (25.3% compared to 33.3%, a difference of 31.7%), and single father households (1.9% compared to 2.4%, a difference of 25.2%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.0%, a difference of 0.27%), family households with children (27.6% compared to 27.8%, a difference of 0.75%), and average family size (3.24 compared to 3.32, a difference of 2.3%).
Family Structure Metric | Indian (Asian) | Ecuadorian |
Family Households | Exceptional 65.1% | Exceptional 65.0% |
Family Households with Children | Good 27.6% | Exceptional 27.8% |
Married-couple Households | Exceptional 48.7% | Tragic 43.5% |
Average Family Size | Good 3.24 | Exceptional 3.32 |
Single Father Households | Exceptional 1.9% | Fair 2.4% |
Single Mother Households | Exceptional 5.1% | Tragic 7.2% |
Currently Married | Exceptional 48.0% | Tragic 43.6% |
Divorced or Separated | Exceptional 10.2% | Exceptional 11.7% |
Births to Unmarried Women | Exceptional 25.3% | Poor 33.3% |
Indian (Asian) vs Ecuadorian Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in no vehicles in household (14.1% compared to 22.8%, a difference of 61.8%), 4 or more vehicles in household (6.4% compared to 4.5%, a difference of 44.1%), and 3 or more vehicles in household (19.1% compared to 14.1%, a difference of 36.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 77.9%, a difference of 10.4%), 2 or more vehicles in household (53.1% compared to 42.0%, a difference of 26.5%), and 3 or more vehicles in household (19.1% compared to 14.1%, a difference of 36.0%).
Vehicle Availability Metric | Indian (Asian) | Ecuadorian |
No Vehicles Available | Tragic 14.1% | Tragic 22.8% |
1+ Vehicles Available | Tragic 86.0% | Tragic 77.9% |
2+ Vehicles Available | Tragic 53.1% | Tragic 42.0% |
3+ Vehicles Available | Fair 19.1% | Tragic 14.1% |
4+ Vehicles Available | Good 6.4% | Tragic 4.5% |
Indian (Asian) vs Ecuadorian Education Level
When considering education level, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in doctorate degree (2.9% compared to 1.5%, a difference of 99.5%), professional degree (6.5% compared to 3.9%, a difference of 66.4%), and master's degree (20.5% compared to 14.0%, a difference of 46.1%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 97.0%, a difference of 0.55%), nursery school (97.6% compared to 97.1%, a difference of 0.58%), and 2nd grade (97.5% compared to 96.9%, a difference of 0.58%).
Education Level Metric | Indian (Asian) | Ecuadorian |
No Schooling Completed | Tragic 2.5% | Tragic 3.0% |
Nursery School | Tragic 97.6% | Tragic 97.1% |
Kindergarten | Tragic 97.6% | Tragic 97.0% |
1st Grade | Tragic 97.5% | Tragic 97.0% |
2nd Grade | Tragic 97.5% | Tragic 96.9% |
3rd Grade | Tragic 97.4% | Tragic 96.7% |
4th Grade | Tragic 97.2% | Tragic 96.4% |
5th Grade | Tragic 96.9% | Tragic 96.0% |
6th Grade | Tragic 96.6% | Tragic 95.5% |
7th Grade | Tragic 95.5% | Tragic 94.0% |
8th Grade | Tragic 95.2% | Tragic 93.6% |
9th Grade | Tragic 94.5% | Tragic 91.9% |
10th Grade | Poor 93.4% | Tragic 90.6% |
11th Grade | Average 92.5% | Tragic 89.6% |
12th Grade, No Diploma | Good 91.5% | Tragic 88.0% |
High School Diploma | Good 89.6% | Tragic 85.1% |
GED/Equivalency | Exceptional 87.1% | Tragic 81.7% |
College, Under 1 year | Exceptional 70.8% | Tragic 59.3% |
College, 1 year or more | Exceptional 66.1% | Tragic 54.3% |
Associate's Degree | Exceptional 54.8% | Tragic 43.0% |
Bachelor's Degree | Exceptional 47.4% | Tragic 35.4% |
Master's Degree | Exceptional 20.5% | Poor 14.0% |
Professional Degree | Exceptional 6.5% | Tragic 3.9% |
Doctorate Degree | Exceptional 2.9% | Tragic 1.5% |
Indian (Asian) vs Ecuadorian Disability
When considering disability, the most significant differences between Indian (Asian) and Ecuadorian communities in the United States are seen in vision disability (1.8% compared to 2.3%, a difference of 22.7%), disability age 35 to 64 (8.9% compared to 10.7%, a difference of 20.7%), and disability age 5 to 17 (4.6% compared to 5.5%, a difference of 20.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.4%, a difference of 1.8%), cognitive disability (16.8% compared to 17.2%, a difference of 2.3%), and disability age 18 to 34 (5.5% compared to 5.8%, a difference of 4.6%).
Disability Metric | Indian (Asian) | Ecuadorian |
Disability | Exceptional 10.3% | Exceptional 11.2% |
Males | Exceptional 9.7% | Exceptional 10.5% |
Females | Exceptional 10.8% | Exceptional 11.9% |
Age | Under 5 years | Exceptional 1.0% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 4.6% | Good 5.5% |
Age | 18 to 34 years | Exceptional 5.5% | Exceptional 5.8% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 10.7% |
Age | 65 to 74 years | Exceptional 20.5% | Fair 23.6% |
Age | Over 75 years | Exceptional 46.5% | Average 47.4% |
Vision | Exceptional 1.8% | Tragic 2.3% |
Hearing | Exceptional 2.7% | Exceptional 2.5% |
Cognitive | Exceptional 16.8% | Average 17.2% |
Ambulatory | Exceptional 5.4% | Good 6.1% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |