Ugandan vs Chinese Community Comparison
COMPARE
Ugandan
Chinese
Social Comparison
Social Comparison
Ugandans
Chinese
6,220
SOCIAL INDEX
59.7/ 100
SOCIAL RATING
159th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
Chinese Integration in Ugandan Communities
The statistical analysis conducted on geographies consisting of 36,994,299 people shows a significant positive correlation between the proportion of Chinese within Ugandan communities in the United States with a correlation coefficient (R) of 0.655. On average, for every 1% (one percent) increase in Ugandans within a typical geography, there is an increase of 0.786% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Ugandans corresponds to an increase of 786.0 Chinese.
Ugandan vs Chinese Income
When considering income, the most significant differences between Ugandan and Chinese communities in the United States are seen in householder income over 65 years ($61,177 compared to $77,465, a difference of 26.6%), householder income under 25 years ($50,923 compared to $58,162, a difference of 14.2%), and median household income ($87,557 compared to $98,496, a difference of 12.5%). Conversely, both communities are more comparable in terms of median female earnings ($40,889 compared to $41,461, a difference of 1.4%), median earnings ($47,854 compared to $48,836, a difference of 2.1%), and per capita income ($45,047 compared to $46,098, a difference of 2.3%).
Income Metric | Ugandan | Chinese |
Per Capita Income | Excellent $45,047 | Exceptional $46,098 |
Median Family Income | Excellent $106,541 | Exceptional $116,188 |
Median Household Income | Excellent $87,557 | Exceptional $98,496 |
Median Earnings | Excellent $47,854 | Exceptional $48,836 |
Median Male Earnings | Good $55,290 | Exceptional $56,872 |
Median Female Earnings | Exceptional $40,889 | Exceptional $41,461 |
Householder Age | Under 25 years | Tragic $50,923 | Exceptional $58,162 |
Householder Age | 25 - 44 years | Good $96,667 | Exceptional $104,264 |
Householder Age | 45 - 64 years | Excellent $103,472 | Exceptional $116,156 |
Householder Age | Over 65 years | Average $61,177 | Exceptional $77,465 |
Wage/Income Gap | Exceptional 24.1% | Average 25.9% |
Ugandan vs Chinese Poverty
When considering poverty, the most significant differences between Ugandan and Chinese communities in the United States are seen in married-couple family poverty (5.3% compared to 3.6%, a difference of 46.3%), child poverty among boys under 16 (17.3% compared to 11.9%, a difference of 46.0%), and child poverty under the age of 16 (17.1% compared to 11.9%, a difference of 43.1%). Conversely, both communities are more comparable in terms of single father poverty (16.3% compared to 15.4%, a difference of 5.5%), single male poverty (12.3% compared to 11.0%, a difference of 12.1%), and single mother poverty (28.8% compared to 24.6%, a difference of 17.1%).
Poverty Metric | Ugandan | Chinese |
Poverty | Tragic 13.1% | Exceptional 9.5% |
Families | Fair 9.3% | Exceptional 6.5% |
Males | Tragic 12.2% | Exceptional 8.7% |
Females | Poor 14.0% | Exceptional 10.4% |
Females 18 to 24 years | Tragic 22.1% | Exceptional 16.2% |
Females 25 to 34 years | Good 13.4% | Exceptional 11.0% |
Children Under 5 years | Poor 18.0% | Exceptional 13.1% |
Children Under 16 years | Poor 17.1% | Exceptional 11.9% |
Boys Under 16 years | Poor 17.3% | Exceptional 11.9% |
Girls Under 16 years | Poor 17.2% | Exceptional 12.3% |
Single Males | Exceptional 12.3% | Exceptional 11.0% |
Single Females | Good 20.8% | Exceptional 16.1% |
Single Fathers | Average 16.3% | Exceptional 15.4% |
Single Mothers | Good 28.8% | Exceptional 24.6% |
Married Couples | Fair 5.3% | Exceptional 3.6% |
Seniors Over 65 years | Poor 11.4% | Exceptional 8.3% |
Seniors Over 75 years | Good 11.9% | Exceptional 9.1% |
Receiving Food Stamps | Fair 12.2% | Exceptional 9.8% |
Ugandan vs Chinese Unemployment
When considering unemployment, the most significant differences between Ugandan and Chinese communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 5.9%, a difference of 30.4%), unemployment among women with children ages 6 to 17 years (12.0% compared to 9.3%, a difference of 29.9%), and unemployment among ages 60 to 64 years (4.9% compared to 4.0%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (4.9% compared to 5.1%, a difference of 4.1%), unemployment among ages 55 to 59 years (4.6% compared to 4.4%, a difference of 4.3%), and unemployment among ages 16 to 19 years (16.8% compared to 16.0%, a difference of 4.8%).
Unemployment Metric | Ugandan | Chinese |
Unemployment | Poor 5.4% | Exceptional 4.7% |
Males | Tragic 5.5% | Exceptional 4.9% |
Females | Fair 5.3% | Exceptional 4.5% |
Youth < 25 | Average 11.6% | Exceptional 10.7% |
Age | 16 to 19 years | Exceptional 16.8% | Exceptional 16.0% |
Age | 20 to 24 years | Fair 10.4% | Exceptional 9.4% |
Age | 25 to 29 years | Poor 6.8% | Exceptional 6.1% |
Age | 30 to 34 years | Exceptional 4.9% | Exceptional 5.1% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.3% |
Age | 45 to 54 years | Tragic 4.9% | Exceptional 4.0% |
Age | 55 to 59 years | Exceptional 4.6% | Exceptional 4.4% |
Age | 60 to 64 years | Poor 4.9% | Exceptional 4.0% |
Age | 65 to 74 years | Exceptional 5.1% | Exceptional 4.4% |
Seniors > 65 | Exceptional 4.8% | Exceptional 4.2% |
Seniors > 75 | Exceptional 7.7% | Exceptional 5.9% |
Women w/ Children < 6 | Good 7.6% | Exceptional 6.8% |
Women w/ Children 6 to 17 | Tragic 12.0% | Tragic 9.3% |
Women w/ Children < 18 | Tragic 5.9% | Exceptional 4.9% |
Ugandan vs Chinese Labor Participation
When considering labor participation, the most significant differences between Ugandan and Chinese communities in the United States are seen in in labor force | age > 16 (67.4% compared to 64.7%, a difference of 4.2%), in labor force | age 20-24 (75.4% compared to 77.3%, a difference of 2.5%), and in labor force | age 25-29 (85.9% compared to 84.3%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.6% compared to 80.7%, a difference of 0.14%), in labor force | age 35-44 (85.3% compared to 85.1%, a difference of 0.26%), and in labor force | age 45-54 (83.7% compared to 84.1%, a difference of 0.51%).
Labor Participation Metric | Ugandan | Chinese |
In Labor Force | Age > 16 | Exceptional 67.4% | Tragic 64.7% |
In Labor Force | Age 20-64 | Exceptional 80.6% | Exceptional 80.7% |
In Labor Force | Age 16-19 | Exceptional 38.9% | Exceptional 38.6% |
In Labor Force | Age 20-24 | Good 75.4% | Exceptional 77.3% |
In Labor Force | Age 25-29 | Exceptional 85.9% | Poor 84.3% |
In Labor Force | Age 30-34 | Exceptional 85.8% | Excellent 85.0% |
In Labor Force | Age 35-44 | Exceptional 85.3% | Exceptional 85.1% |
In Labor Force | Age 45-54 | Exceptional 83.7% | Exceptional 84.1% |
Ugandan vs Chinese Family Structure
When considering family structure, the most significant differences between Ugandan and Chinese communities in the United States are seen in single mother households (6.5% compared to 5.2%, a difference of 25.8%), single father households (2.3% compared to 2.0%, a difference of 17.4%), and married-couple households (43.8% compared to 50.4%, a difference of 14.8%). Conversely, both communities are more comparable in terms of births to unmarried women (30.1% compared to 30.2%, a difference of 0.50%), average family size (3.23 compared to 3.34, a difference of 3.3%), and divorced or separated (11.8% compared to 11.2%, a difference of 5.4%).
Family Structure Metric | Ugandan | Chinese |
Family Households | Tragic 61.7% | Exceptional 68.1% |
Family Households with Children | Average 27.4% | Tragic 26.0% |
Married-couple Households | Tragic 43.8% | Exceptional 50.4% |
Average Family Size | Average 3.23 | Exceptional 3.34 |
Single Father Households | Good 2.3% | Exceptional 2.0% |
Single Mother Households | Fair 6.5% | Exceptional 5.2% |
Currently Married | Tragic 44.2% | Exceptional 49.5% |
Divorced or Separated | Exceptional 11.8% | Exceptional 11.2% |
Births to Unmarried Women | Excellent 30.1% | Excellent 30.2% |
Ugandan vs Chinese Vehicle Availability
When considering vehicle availability, the most significant differences between Ugandan and Chinese communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 8.8%, a difference of 54.7%), no vehicles in household (11.4% compared to 8.2%, a difference of 38.9%), and 3 or more vehicles in household (17.8% compared to 23.9%, a difference of 34.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.9% compared to 91.9%, a difference of 3.4%), 2 or more vehicles in household (53.5% compared to 60.1%, a difference of 12.4%), and 3 or more vehicles in household (17.8% compared to 23.9%, a difference of 34.2%).
Vehicle Availability Metric | Ugandan | Chinese |
No Vehicles Available | Tragic 11.4% | Exceptional 8.2% |
1+ Vehicles Available | Tragic 88.9% | Exceptional 91.9% |
2+ Vehicles Available | Tragic 53.5% | Exceptional 60.1% |
3+ Vehicles Available | Tragic 17.8% | Exceptional 23.9% |
4+ Vehicles Available | Tragic 5.7% | Exceptional 8.8% |
Ugandan vs Chinese Education Level
When considering education level, the most significant differences between Ugandan and Chinese communities in the United States are seen in no schooling completed (2.0% compared to 1.5%, a difference of 39.1%), doctorate degree (2.2% compared to 1.8%, a difference of 26.1%), and master's degree (17.1% compared to 14.6%, a difference of 17.6%). Conversely, both communities are more comparable in terms of associate's degree (48.7% compared to 48.5%, a difference of 0.38%), nursery school (98.0% compared to 98.6%, a difference of 0.58%), and kindergarten (98.0% compared to 98.5%, a difference of 0.58%).
Education Level Metric | Ugandan | Chinese |
No Schooling Completed | Good 2.0% | Exceptional 1.5% |
Nursery School | Average 98.0% | Exceptional 98.6% |
Kindergarten | Average 98.0% | Exceptional 98.5% |
1st Grade | Average 97.9% | Exceptional 98.5% |
2nd Grade | Average 97.9% | Exceptional 98.5% |
3rd Grade | Average 97.8% | Exceptional 98.4% |
4th Grade | Average 97.6% | Exceptional 98.3% |
5th Grade | Average 97.4% | Exceptional 98.1% |
6th Grade | Good 97.1% | Exceptional 97.9% |
7th Grade | Good 96.2% | Exceptional 97.1% |
8th Grade | Good 95.9% | Exceptional 96.9% |
9th Grade | Good 95.1% | Exceptional 96.3% |
10th Grade | Excellent 94.0% | Exceptional 95.5% |
11th Grade | Excellent 92.9% | Exceptional 94.6% |
12th Grade, No Diploma | Good 91.5% | Exceptional 93.6% |
High School Diploma | Excellent 89.7% | Exceptional 92.0% |
GED/Equivalency | Good 86.1% | Exceptional 89.0% |
College, Under 1 year | Excellent 66.8% | Exceptional 68.3% |
College, 1 year or more | Exceptional 61.2% | Exceptional 62.2% |
Associate's Degree | Exceptional 48.7% | Exceptional 48.5% |
Bachelor's Degree | Exceptional 40.8% | Good 38.5% |
Master's Degree | Exceptional 17.1% | Fair 14.6% |
Professional Degree | Exceptional 5.1% | Average 4.5% |
Doctorate Degree | Exceptional 2.2% | Fair 1.8% |
Ugandan vs Chinese Disability
When considering disability, the most significant differences between Ugandan and Chinese communities in the United States are seen in disability age 5 to 17 (6.2% compared to 4.7%, a difference of 31.1%), hearing disability (2.9% compared to 3.7%, a difference of 28.2%), and cognitive disability (18.3% compared to 15.9%, 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 (2.1% compared to 2.0%, a difference of 1.8%), and female disability (11.9% compared to 12.3%, a difference of 3.9%).
Disability Metric | Ugandan | Chinese |
Disability | Excellent 11.4% | Tragic 12.2% |
Males | Excellent 11.0% | Tragic 12.1% |
Females | Exceptional 11.9% | Fair 12.3% |
Age | Under 5 years | Exceptional 1.1% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 6.2% | Exceptional 4.7% |
Age | 18 to 34 years | Tragic 6.9% | Exceptional 6.3% |
Age | 35 to 64 years | Average 11.3% | Exceptional 10.3% |
Age | 65 to 74 years | Excellent 22.7% | Exceptional 21.7% |
Age | Over 75 years | Exceptional 46.3% | Tragic 48.7% |
Vision | Exceptional 2.1% | Exceptional 2.0% |
Hearing | Excellent 2.9% | Tragic 3.7% |
Cognitive | Tragic 18.3% | Exceptional 15.9% |
Ambulatory | Exceptional 5.7% | Tragic 6.5% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |