Indian (Asian) vs Ugandan Community Comparison
COMPARE
Indian (Asian)
Ugandan
Social Comparison
Social Comparison
Indians (Asian)
Ugandans
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
6,220
SOCIAL INDEX
59.7/ 100
SOCIAL RATING
159th/ 347
SOCIAL RANK
Ugandan Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 93,255,947 people shows a poor negative correlation between the proportion of Ugandans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.182. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Ugandans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 1.4 Ugandans.
Indian (Asian) vs Ugandan Income
When considering income, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $96,667, a difference of 23.6%), median household income ($105,262 compared to $87,557, a difference of 20.2%), and per capita income ($53,874 compared to $45,047, a difference of 19.6%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 24.1%, a difference of 10.0%), median female earnings ($46,481 compared to $40,889, a difference of 13.7%), and householder income under 25 years ($58,239 compared to $50,923, a difference of 14.4%).
Income Metric | Indian (Asian) | Ugandan |
Per Capita Income | Exceptional $53,874 | Excellent $45,047 |
Median Family Income | Exceptional $125,312 | Excellent $106,541 |
Median Household Income | Exceptional $105,262 | Excellent $87,557 |
Median Earnings | Exceptional $56,253 | Excellent $47,854 |
Median Male Earnings | Exceptional $66,078 | Good $55,290 |
Median Female Earnings | Exceptional $46,481 | Exceptional $40,889 |
Householder Age | Under 25 years | Exceptional $58,239 | Tragic $50,923 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Good $96,667 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Excellent $103,472 |
Householder Age | Over 65 years | Exceptional $70,238 | Average $61,177 |
Wage/Income Gap | Poor 26.4% | Exceptional 24.1% |
Indian (Asian) vs Ugandan Poverty
When considering poverty, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 18.0%, a difference of 34.2%), child poverty among boys under 16 (13.3% compared to 17.3%, a difference of 30.6%), and child poverty under the age of 16 (13.1% compared to 17.1%, a difference of 29.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 11.4%, a difference of 3.1%), seniors poverty over the age of 75 (12.7% compared to 11.9%, a difference of 7.2%), and single male poverty (11.3% compared to 12.3%, a difference of 9.4%).
Poverty Metric | Indian (Asian) | Ugandan |
Poverty | Exceptional 11.3% | Tragic 13.1% |
Families | Exceptional 7.7% | Fair 9.3% |
Males | Exceptional 10.4% | Tragic 12.2% |
Females | Exceptional 12.2% | Poor 14.0% |
Females 18 to 24 years | Excellent 19.6% | Tragic 22.1% |
Females 25 to 34 years | Exceptional 11.2% | Good 13.4% |
Children Under 5 years | Exceptional 13.4% | Poor 18.0% |
Children Under 16 years | Exceptional 13.1% | Poor 17.1% |
Boys Under 16 years | Exceptional 13.3% | Poor 17.3% |
Girls Under 16 years | Exceptional 13.3% | Poor 17.2% |
Single Males | Exceptional 11.3% | Exceptional 12.3% |
Single Females | Exceptional 17.9% | Good 20.8% |
Single Fathers | Exceptional 14.8% | Average 16.3% |
Single Mothers | Exceptional 25.8% | Good 28.8% |
Married Couples | Exceptional 4.8% | Fair 5.3% |
Seniors Over 65 years | Fair 11.1% | Poor 11.4% |
Seniors Over 75 years | Tragic 12.7% | Good 11.9% |
Receiving Food Stamps | Exceptional 9.6% | Fair 12.2% |
Indian (Asian) vs Ugandan Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 12.0%, a difference of 55.6%), unemployment among women with children under 6 years (6.3% compared to 7.6%, a difference of 20.1%), and unemployment among women with children under 18 years (4.9% compared to 5.9%, a difference of 19.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.5% compared to 11.6%, a difference of 0.83%), unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.4%), and unemployment among ages 20 to 24 years (10.3% compared to 10.4%, a difference of 1.5%).
Unemployment Metric | Indian (Asian) | Ugandan |
Unemployment | Excellent 5.1% | Poor 5.4% |
Males | Good 5.2% | Tragic 5.5% |
Females | Excellent 5.1% | Fair 5.3% |
Youth < 25 | Good 11.5% | Average 11.6% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.8% |
Age | 20 to 24 years | Good 10.3% | Fair 10.4% |
Age | 25 to 29 years | Exceptional 6.3% | Poor 6.8% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 4.9% |
Age | 35 to 44 years | Exceptional 4.4% | Fair 4.8% |
Age | 45 to 54 years | Good 4.5% | Tragic 4.9% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.6% |
Age | 60 to 64 years | Tragic 5.0% | Poor 4.9% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.1% |
Seniors > 65 | Average 5.2% | Exceptional 4.8% |
Seniors > 75 | Exceptional 8.0% | Exceptional 7.7% |
Women w/ Children < 6 | Exceptional 6.3% | Good 7.6% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Tragic 12.0% |
Women w/ Children < 18 | Exceptional 4.9% | Tragic 5.9% |
Indian (Asian) vs Ugandan Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.9%, a difference of 22.0%), in labor force | age 20-24 (71.9% compared to 75.4%, a difference of 4.9%), and in labor force | age > 16 (65.5% compared to 67.4%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.8%, a difference of 0.45%), in labor force | age 45-54 (83.3% compared to 83.7%, a difference of 0.48%), and in labor force | age 35-44 (84.8% compared to 85.3%, a difference of 0.58%).
Labor Participation Metric | Indian (Asian) | Ugandan |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 67.4% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.6% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 38.9% |
In Labor Force | Age 20-24 | Tragic 71.9% | Good 75.4% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.9% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.8% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 85.3% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.7% |
Indian (Asian) vs Ugandan Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in single mother households (5.1% compared to 6.5%, a difference of 27.2%), single father households (1.9% compared to 2.3%, a difference of 21.5%), and births to unmarried women (25.3% compared to 30.1%, a difference of 19.1%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.23, a difference of 0.31%), family households with children (27.6% compared to 27.4%, a difference of 0.53%), and family households (65.1% compared to 61.7%, a difference of 5.6%).
Family Structure Metric | Indian (Asian) | Ugandan |
Family Households | Exceptional 65.1% | Tragic 61.7% |
Family Households with Children | Good 27.6% | Average 27.4% |
Married-couple Households | Exceptional 48.7% | Tragic 43.8% |
Average Family Size | Good 3.24 | Average 3.23 |
Single Father Households | Exceptional 1.9% | Good 2.3% |
Single Mother Households | Exceptional 5.1% | Fair 6.5% |
Currently Married | Exceptional 48.0% | Tragic 44.2% |
Divorced or Separated | Exceptional 10.2% | Exceptional 11.8% |
Births to Unmarried Women | Exceptional 25.3% | Excellent 30.1% |
Indian (Asian) vs Ugandan Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in no vehicles in household (14.1% compared to 11.4%, a difference of 23.1%), 4 or more vehicles in household (6.4% compared to 5.7%, a difference of 12.4%), and 3 or more vehicles in household (19.1% compared to 17.8%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.1% compared to 53.5%, a difference of 0.70%), 1 or more vehicles in household (86.0% compared to 88.9%, a difference of 3.3%), and 3 or more vehicles in household (19.1% compared to 17.8%, a difference of 7.5%).
Vehicle Availability Metric | Indian (Asian) | Ugandan |
No Vehicles Available | Tragic 14.1% | Tragic 11.4% |
1+ Vehicles Available | Tragic 86.0% | Tragic 88.9% |
2+ Vehicles Available | Tragic 53.1% | Tragic 53.5% |
3+ Vehicles Available | Fair 19.1% | Tragic 17.8% |
4+ Vehicles Available | Good 6.4% | Tragic 5.7% |
Indian (Asian) vs Ugandan Education Level
When considering education level, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in doctorate degree (2.9% compared to 2.2%, a difference of 30.7%), professional degree (6.5% compared to 5.1%, a difference of 27.5%), and no schooling completed (2.5% compared to 2.0%, a difference of 20.7%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.5%, a difference of 0.010%), high school diploma (89.6% compared to 89.7%, a difference of 0.12%), and 11th grade (92.5% compared to 92.9%, a difference of 0.35%).
Education Level Metric | Indian (Asian) | Ugandan |
No Schooling Completed | Tragic 2.5% | Good 2.0% |
Nursery School | Tragic 97.6% | Average 98.0% |
Kindergarten | Tragic 97.6% | Average 98.0% |
1st Grade | Tragic 97.5% | Average 97.9% |
2nd Grade | Tragic 97.5% | Average 97.9% |
3rd Grade | Tragic 97.4% | Average 97.8% |
4th Grade | Tragic 97.2% | Average 97.6% |
5th Grade | Tragic 96.9% | Average 97.4% |
6th Grade | Tragic 96.6% | Good 97.1% |
7th Grade | Tragic 95.5% | Good 96.2% |
8th Grade | Tragic 95.2% | Good 95.9% |
9th Grade | Tragic 94.5% | Good 95.1% |
10th Grade | Poor 93.4% | Excellent 94.0% |
11th Grade | Average 92.5% | Excellent 92.9% |
12th Grade, No Diploma | Good 91.5% | Good 91.5% |
High School Diploma | Good 89.6% | Excellent 89.7% |
GED/Equivalency | Exceptional 87.1% | Good 86.1% |
College, Under 1 year | Exceptional 70.8% | Excellent 66.8% |
College, 1 year or more | Exceptional 66.1% | Exceptional 61.2% |
Associate's Degree | Exceptional 54.8% | Exceptional 48.7% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 40.8% |
Master's Degree | Exceptional 20.5% | Exceptional 17.1% |
Professional Degree | Exceptional 6.5% | Exceptional 5.1% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.2% |
Indian (Asian) vs Ugandan Disability
When considering disability, the most significant differences between Indian (Asian) and Ugandan communities in the United States are seen in disability age 5 to 17 (4.6% compared to 6.2%, a difference of 34.8%), disability age 35 to 64 (8.9% compared to 11.3%, a difference of 28.0%), and disability age 18 to 34 (5.5% compared to 6.9%, a difference of 25.3%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.070%), disability age over 75 (46.5% compared to 46.3%, a difference of 0.50%), and hearing disability (2.7% compared to 2.9%, a difference of 6.1%).
Disability Metric | Indian (Asian) | Ugandan |
Disability | Exceptional 10.3% | Excellent 11.4% |
Males | Exceptional 9.7% | Excellent 11.0% |
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% | Tragic 6.2% |
Age | 18 to 34 years | Exceptional 5.5% | Tragic 6.9% |
Age | 35 to 64 years | Exceptional 8.9% | Average 11.3% |
Age | 65 to 74 years | Exceptional 20.5% | Excellent 22.7% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 46.3% |
Vision | Exceptional 1.8% | Exceptional 2.1% |
Hearing | Exceptional 2.7% | Excellent 2.9% |
Cognitive | Exceptional 16.8% | Tragic 18.3% |
Ambulatory | Exceptional 5.4% | Exceptional 5.7% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |