Chinese vs Ugandan Community Comparison
COMPARE
Chinese
Ugandan
Social Comparison
Social Comparison
Chinese
Ugandans
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
6,220
SOCIAL INDEX
59.7/ 100
SOCIAL RATING
159th/ 347
SOCIAL RANK
Ugandan Integration in Chinese Communities
The statistical analysis conducted on geographies consisting of 36,994,299 people shows a significant positive correlation between the proportion of Ugandans within Chinese communities in the United States with a correlation coefficient (R) of 0.634. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.638% in Ugandans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 637.7 Ugandans.
Chinese vs Ugandan Income
When considering income, the most significant differences between Chinese and Ugandan communities in the United States are seen in householder income over 65 years ($77,465 compared to $61,177, a difference of 26.6%), householder income under 25 years ($58,162 compared to $50,923, a difference of 14.2%), and median household income ($98,496 compared to $87,557, a difference of 12.5%). Conversely, both communities are more comparable in terms of median female earnings ($41,461 compared to $40,889, a difference of 1.4%), median earnings ($48,836 compared to $47,854, a difference of 2.1%), and per capita income ($46,098 compared to $45,047, a difference of 2.3%).
Income Metric | Chinese | Ugandan |
Per Capita Income | Exceptional $46,098 | Excellent $45,047 |
Median Family Income | Exceptional $116,188 | Excellent $106,541 |
Median Household Income | Exceptional $98,496 | Excellent $87,557 |
Median Earnings | Exceptional $48,836 | Excellent $47,854 |
Median Male Earnings | Exceptional $56,872 | Good $55,290 |
Median Female Earnings | Exceptional $41,461 | Exceptional $40,889 |
Householder Age | Under 25 years | Exceptional $58,162 | Tragic $50,923 |
Householder Age | 25 - 44 years | Exceptional $104,264 | Good $96,667 |
Householder Age | 45 - 64 years | Exceptional $116,156 | Excellent $103,472 |
Householder Age | Over 65 years | Exceptional $77,465 | Average $61,177 |
Wage/Income Gap | Average 25.9% | Exceptional 24.1% |
Chinese vs Ugandan Poverty
When considering poverty, the most significant differences between Chinese and Ugandan communities in the United States are seen in married-couple family poverty (3.6% compared to 5.3%, a difference of 46.3%), child poverty among boys under 16 (11.9% compared to 17.3%, a difference of 46.0%), and child poverty under the age of 16 (11.9% compared to 17.1%, a difference of 43.1%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 16.3%, a difference of 5.5%), single male poverty (11.0% compared to 12.3%, a difference of 12.1%), and single mother poverty (24.6% compared to 28.8%, a difference of 17.1%).
Poverty Metric | Chinese | Ugandan |
Poverty | Exceptional 9.5% | Tragic 13.1% |
Families | Exceptional 6.5% | Fair 9.3% |
Males | Exceptional 8.7% | Tragic 12.2% |
Females | Exceptional 10.4% | Poor 14.0% |
Females 18 to 24 years | Exceptional 16.2% | Tragic 22.1% |
Females 25 to 34 years | Exceptional 11.0% | Good 13.4% |
Children Under 5 years | Exceptional 13.1% | Poor 18.0% |
Children Under 16 years | Exceptional 11.9% | Poor 17.1% |
Boys Under 16 years | Exceptional 11.9% | Poor 17.3% |
Girls Under 16 years | Exceptional 12.3% | Poor 17.2% |
Single Males | Exceptional 11.0% | Exceptional 12.3% |
Single Females | Exceptional 16.1% | Good 20.8% |
Single Fathers | Exceptional 15.4% | Average 16.3% |
Single Mothers | Exceptional 24.6% | Good 28.8% |
Married Couples | Exceptional 3.6% | Fair 5.3% |
Seniors Over 65 years | Exceptional 8.3% | Poor 11.4% |
Seniors Over 75 years | Exceptional 9.1% | Good 11.9% |
Receiving Food Stamps | Exceptional 9.8% | Fair 12.2% |
Chinese vs Ugandan Unemployment
When considering unemployment, the most significant differences between Chinese and Ugandan communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 7.7%, a difference of 30.4%), unemployment among women with children ages 6 to 17 years (9.3% compared to 12.0%, a difference of 29.9%), and unemployment among ages 60 to 64 years (4.0% compared to 4.9%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 4.9%, a difference of 4.1%), unemployment among ages 55 to 59 years (4.4% compared to 4.6%, a difference of 4.3%), and unemployment among ages 16 to 19 years (16.0% compared to 16.8%, a difference of 4.8%).
Unemployment Metric | Chinese | Ugandan |
Unemployment | Exceptional 4.7% | Poor 5.4% |
Males | Exceptional 4.9% | Tragic 5.5% |
Females | Exceptional 4.5% | Fair 5.3% |
Youth < 25 | Exceptional 10.7% | Average 11.6% |
Age | 16 to 19 years | Exceptional 16.0% | Exceptional 16.8% |
Age | 20 to 24 years | Exceptional 9.4% | Fair 10.4% |
Age | 25 to 29 years | Exceptional 6.1% | Poor 6.8% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 4.9% |
Age | 35 to 44 years | Exceptional 4.3% | Fair 4.8% |
Age | 45 to 54 years | Exceptional 4.0% | Tragic 4.9% |
Age | 55 to 59 years | Exceptional 4.4% | Exceptional 4.6% |
Age | 60 to 64 years | Exceptional 4.0% | Poor 4.9% |
Age | 65 to 74 years | Exceptional 4.4% | Exceptional 5.1% |
Seniors > 65 | Exceptional 4.2% | Exceptional 4.8% |
Seniors > 75 | Exceptional 5.9% | Exceptional 7.7% |
Women w/ Children < 6 | Exceptional 6.8% | Good 7.6% |
Women w/ Children 6 to 17 | Tragic 9.3% | Tragic 12.0% |
Women w/ Children < 18 | Exceptional 4.9% | Tragic 5.9% |
Chinese vs Ugandan Labor Participation
When considering labor participation, the most significant differences between Chinese and Ugandan communities in the United States are seen in in labor force | age > 16 (64.7% compared to 67.4%, a difference of 4.2%), in labor force | age 20-24 (77.3% compared to 75.4%, a difference of 2.5%), and in labor force | age 25-29 (84.3% compared to 85.9%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.7% compared to 80.6%, a difference of 0.14%), in labor force | age 35-44 (85.1% compared to 85.3%, a difference of 0.26%), and in labor force | age 45-54 (84.1% compared to 83.7%, a difference of 0.51%).
Labor Participation Metric | Chinese | Ugandan |
In Labor Force | Age > 16 | Tragic 64.7% | Exceptional 67.4% |
In Labor Force | Age 20-64 | Exceptional 80.7% | Exceptional 80.6% |
In Labor Force | Age 16-19 | Exceptional 38.6% | Exceptional 38.9% |
In Labor Force | Age 20-24 | Exceptional 77.3% | Good 75.4% |
In Labor Force | Age 25-29 | Poor 84.3% | Exceptional 85.9% |
In Labor Force | Age 30-34 | Excellent 85.0% | Exceptional 85.8% |
In Labor Force | Age 35-44 | Exceptional 85.1% | Exceptional 85.3% |
In Labor Force | Age 45-54 | Exceptional 84.1% | Exceptional 83.7% |
Chinese vs Ugandan Family Structure
When considering family structure, the most significant differences between Chinese and Ugandan communities in the United States are seen in single mother households (5.2% compared to 6.5%, a difference of 25.8%), single father households (2.0% compared to 2.3%, a difference of 17.4%), and married-couple households (50.4% compared to 43.8%, a difference of 14.8%). Conversely, both communities are more comparable in terms of births to unmarried women (30.2% compared to 30.1%, a difference of 0.50%), average family size (3.34 compared to 3.23, a difference of 3.3%), and divorced or separated (11.2% compared to 11.8%, a difference of 5.4%).
Family Structure Metric | Chinese | Ugandan |
Family Households | Exceptional 68.1% | Tragic 61.7% |
Family Households with Children | Tragic 26.0% | Average 27.4% |
Married-couple Households | Exceptional 50.4% | Tragic 43.8% |
Average Family Size | Exceptional 3.34 | Average 3.23 |
Single Father Households | Exceptional 2.0% | Good 2.3% |
Single Mother Households | Exceptional 5.2% | Fair 6.5% |
Currently Married | Exceptional 49.5% | Tragic 44.2% |
Divorced or Separated | Exceptional 11.2% | Exceptional 11.8% |
Births to Unmarried Women | Excellent 30.2% | Excellent 30.1% |
Chinese vs Ugandan Vehicle Availability
When considering vehicle availability, the most significant differences between Chinese and Ugandan communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 5.7%, a difference of 54.7%), no vehicles in household (8.2% compared to 11.4%, a difference of 38.9%), and 3 or more vehicles in household (23.9% compared to 17.8%, a difference of 34.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 88.9%, a difference of 3.4%), 2 or more vehicles in household (60.1% compared to 53.5%, a difference of 12.4%), and 3 or more vehicles in household (23.9% compared to 17.8%, a difference of 34.2%).
Vehicle Availability Metric | Chinese | Ugandan |
No Vehicles Available | Exceptional 8.2% | Tragic 11.4% |
1+ Vehicles Available | Exceptional 91.9% | Tragic 88.9% |
2+ Vehicles Available | Exceptional 60.1% | Tragic 53.5% |
3+ Vehicles Available | Exceptional 23.9% | Tragic 17.8% |
4+ Vehicles Available | Exceptional 8.8% | Tragic 5.7% |
Chinese vs Ugandan Education Level
When considering education level, the most significant differences between Chinese and Ugandan communities in the United States are seen in no schooling completed (1.5% compared to 2.0%, a difference of 39.1%), doctorate degree (1.8% compared to 2.2%, a difference of 26.1%), and master's degree (14.6% compared to 17.1%, a difference of 17.6%). Conversely, both communities are more comparable in terms of associate's degree (48.5% compared to 48.7%, a difference of 0.38%), nursery school (98.6% compared to 98.0%, a difference of 0.58%), and kindergarten (98.5% compared to 98.0%, a difference of 0.58%).
Education Level Metric | Chinese | Ugandan |
No Schooling Completed | Exceptional 1.5% | Good 2.0% |
Nursery School | Exceptional 98.6% | Average 98.0% |
Kindergarten | Exceptional 98.5% | Average 98.0% |
1st Grade | Exceptional 98.5% | Average 97.9% |
2nd Grade | Exceptional 98.5% | Average 97.9% |
3rd Grade | Exceptional 98.4% | Average 97.8% |
4th Grade | Exceptional 98.3% | Average 97.6% |
5th Grade | Exceptional 98.1% | Average 97.4% |
6th Grade | Exceptional 97.9% | Good 97.1% |
7th Grade | Exceptional 97.1% | Good 96.2% |
8th Grade | Exceptional 96.9% | Good 95.9% |
9th Grade | Exceptional 96.3% | Good 95.1% |
10th Grade | Exceptional 95.5% | Excellent 94.0% |
11th Grade | Exceptional 94.6% | Excellent 92.9% |
12th Grade, No Diploma | Exceptional 93.6% | Good 91.5% |
High School Diploma | Exceptional 92.0% | Excellent 89.7% |
GED/Equivalency | Exceptional 89.0% | Good 86.1% |
College, Under 1 year | Exceptional 68.3% | Excellent 66.8% |
College, 1 year or more | Exceptional 62.2% | Exceptional 61.2% |
Associate's Degree | Exceptional 48.5% | Exceptional 48.7% |
Bachelor's Degree | Good 38.5% | Exceptional 40.8% |
Master's Degree | Fair 14.6% | Exceptional 17.1% |
Professional Degree | Average 4.5% | Exceptional 5.1% |
Doctorate Degree | Fair 1.8% | Exceptional 2.2% |
Chinese vs Ugandan Disability
When considering disability, the most significant differences between Chinese and Ugandan communities in the United States are seen in disability age 5 to 17 (4.7% compared to 6.2%, a difference of 31.1%), hearing disability (3.7% compared to 2.9%, a difference of 28.2%), and cognitive disability (15.9% compared to 18.3%, a difference of 15.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 0.34%), vision disability (2.0% compared to 2.1%, a difference of 1.8%), and female disability (12.3% compared to 11.9%, a difference of 3.9%).
Disability Metric | Chinese | Ugandan |
Disability | Tragic 12.2% | Excellent 11.4% |
Males | Tragic 12.1% | Excellent 11.0% |
Females | Fair 12.3% | Exceptional 11.9% |
Age | Under 5 years | Exceptional 1.1% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 4.7% | Tragic 6.2% |
Age | 18 to 34 years | Exceptional 6.3% | Tragic 6.9% |
Age | 35 to 64 years | Exceptional 10.3% | Average 11.3% |
Age | 65 to 74 years | Exceptional 21.7% | Excellent 22.7% |
Age | Over 75 years | Tragic 48.7% | Exceptional 46.3% |
Vision | Exceptional 2.0% | Exceptional 2.1% |
Hearing | Tragic 3.7% | Excellent 2.9% |
Cognitive | Exceptional 15.9% | Tragic 18.3% |
Ambulatory | Tragic 6.5% | Exceptional 5.7% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |