Chinese vs Ugandan Community Comparison

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Chinese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Ugandan
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chinese

Ugandans

Exceptional
Average
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 Integration in Ugandan Communities

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%).
Chinese vs Ugandan Income
Income MetricChineseUgandan
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%).
Chinese vs Ugandan Poverty
Poverty MetricChineseUgandan
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%).
Chinese vs Ugandan Unemployment
Unemployment MetricChineseUgandan
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%).
Chinese vs Ugandan Labor Participation
Labor Participation MetricChineseUgandan
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%).
Chinese vs Ugandan Family Structure
Family Structure MetricChineseUgandan
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%).
Chinese vs Ugandan Vehicle Availability
Vehicle Availability MetricChineseUgandan
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%).
Chinese vs Ugandan Education Level
Education Level MetricChineseUgandan
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%).
Chinese vs Ugandan Disability
Disability MetricChineseUgandan
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%