Chinese vs Sudanese Community Comparison

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Chinese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Sudanese
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

Sudanese

Exceptional
Average
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
4,867
SOCIAL INDEX
46.2/ 100
SOCIAL RATING
190th/ 347
SOCIAL RANK

Sudanese Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 39,371,663 people shows a poor negative correlation between the proportion of Sudanese within Chinese communities in the United States with a correlation coefficient (R) of -0.161. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.066% in Sudanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 66.1 Sudanese.
Chinese Integration in Sudanese Communities

Chinese vs Sudanese Income

When considering income, the most significant differences between Chinese and Sudanese communities in the United States are seen in householder income over 65 years ($77,465 compared to $58,281, a difference of 32.9%), median household income ($98,496 compared to $78,529, a difference of 25.4%), and householder income ages 45 - 64 years ($116,156 compared to $93,718, a difference of 23.9%). Conversely, both communities are more comparable in terms of wage/income gap (25.9% compared to 24.0%, a difference of 8.1%), median female earnings ($41,461 compared to $38,215, a difference of 8.5%), and median earnings ($48,836 compared to $44,419, a difference of 9.9%).
Chinese vs Sudanese Income
Income MetricChineseSudanese
Per Capita Income
Exceptional
$46,098
Tragic
$41,695
Median Family Income
Exceptional
$116,188
Tragic
$96,783
Median Household Income
Exceptional
$98,496
Tragic
$78,529
Median Earnings
Exceptional
$48,836
Tragic
$44,419
Median Male Earnings
Exceptional
$56,872
Tragic
$51,216
Median Female Earnings
Exceptional
$41,461
Tragic
$38,215
Householder Age | Under 25 years
Exceptional
$58,162
Tragic
$46,982
Householder Age | 25 - 44 years
Exceptional
$104,264
Tragic
$84,401
Householder Age | 45 - 64 years
Exceptional
$116,156
Tragic
$93,718
Householder Age | Over 65 years
Exceptional
$77,465
Tragic
$58,281
Wage/Income Gap
Average
25.9%
Exceptional
24.0%

Chinese vs Sudanese Poverty

When considering poverty, the most significant differences between Chinese and Sudanese communities in the United States are seen in child poverty among boys under 16 (11.9% compared to 18.6%, a difference of 56.7%), child poverty under the age of 16 (11.9% compared to 18.5%, a difference of 55.1%), and married-couple family poverty (3.6% compared to 5.6%, a difference of 54.2%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.9%, a difference of 3.0%), single male poverty (11.0% compared to 13.1%, a difference of 18.9%), and single mother poverty (24.6% compared to 30.0%, a difference of 22.0%).
Chinese vs Sudanese Poverty
Poverty MetricChineseSudanese
Poverty
Exceptional
9.5%
Tragic
14.0%
Families
Exceptional
6.5%
Tragic
10.0%
Males
Exceptional
8.7%
Tragic
12.8%
Females
Exceptional
10.4%
Tragic
15.2%
Females 18 to 24 years
Exceptional
16.2%
Tragic
23.0%
Females 25 to 34 years
Exceptional
11.0%
Tragic
14.4%
Children Under 5 years
Exceptional
13.1%
Tragic
19.3%
Children Under 16 years
Exceptional
11.9%
Tragic
18.5%
Boys Under 16 years
Exceptional
11.9%
Tragic
18.6%
Girls Under 16 years
Exceptional
12.3%
Tragic
18.6%
Single Males
Exceptional
11.0%
Poor
13.1%
Single Females
Exceptional
16.1%
Tragic
22.6%
Single Fathers
Exceptional
15.4%
Exceptional
15.9%
Single Mothers
Exceptional
24.6%
Tragic
30.0%
Married Couples
Exceptional
3.6%
Tragic
5.6%
Seniors Over 65 years
Exceptional
8.3%
Good
10.7%
Seniors Over 75 years
Exceptional
9.1%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.8%
Fair
12.0%

Chinese vs Sudanese Unemployment

When considering unemployment, the most significant differences between Chinese and Sudanese communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 8.3%, a difference of 40.0%), unemployment among women with children ages 6 to 17 years (9.3% compared to 7.4%, a difference of 24.9%), and unemployment among women with children under 6 years (6.8% compared to 7.8%, a difference of 14.6%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (10.7% compared to 10.6%, a difference of 1.3%), unemployment among ages 16 to 19 years (16.0% compared to 15.8%, a difference of 1.8%), and male unemployment (4.9% compared to 4.8%, a difference of 1.8%).
Chinese vs Sudanese Unemployment
Unemployment MetricChineseSudanese
Unemployment
Exceptional
4.7%
Exceptional
4.8%
Males
Exceptional
4.9%
Exceptional
4.8%
Females
Exceptional
4.5%
Exceptional
4.8%
Youth < 25
Exceptional
10.7%
Exceptional
10.6%
Age | 16 to 19 years
Exceptional
16.0%
Exceptional
15.8%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
6.1%
Exceptional
5.4%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
4.6%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.1%
Age | 45 to 54 years
Exceptional
4.0%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.6%
Age | 60 to 64 years
Exceptional
4.0%
Exceptional
4.3%
Age | 65 to 74 years
Exceptional
4.4%
Exceptional
4.6%
Seniors > 65
Exceptional
4.2%
Exceptional
4.4%
Seniors > 75
Exceptional
5.9%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.8%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.3%

Chinese vs Sudanese Labor Participation

When considering labor participation, the most significant differences between Chinese and Sudanese communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 42.9%, a difference of 11.0%), in labor force | age > 16 (64.7% compared to 68.0%, a difference of 5.2%), and in labor force | age 25-29 (84.3% compared to 85.9%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.1% compared to 85.0%, a difference of 0.090%), in labor force | age 20-64 (80.7% compared to 80.8%, a difference of 0.21%), and in labor force | age 30-34 (85.0% compared to 85.2%, a difference of 0.24%).
Chinese vs Sudanese Labor Participation
Labor Participation MetricChineseSudanese
In Labor Force | Age > 16
Tragic
64.7%
Exceptional
68.0%
In Labor Force | Age 20-64
Exceptional
80.7%
Exceptional
80.8%
In Labor Force | Age 16-19
Exceptional
38.6%
Exceptional
42.9%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
78.4%
In Labor Force | Age 25-29
Poor
84.3%
Exceptional
85.9%
In Labor Force | Age 30-34
Excellent
85.0%
Exceptional
85.2%
In Labor Force | Age 35-44
Exceptional
85.1%
Exceptional
85.0%
In Labor Force | Age 45-54
Exceptional
84.1%
Excellent
83.0%

Chinese vs Sudanese Family Structure

When considering family structure, the most significant differences between Chinese and Sudanese communities in the United States are seen in single mother households (5.2% compared to 6.9%, a difference of 33.8%), single father households (2.0% compared to 2.4%, a difference of 22.7%), and married-couple households (50.4% compared to 42.1%, a difference of 19.7%). Conversely, both communities are more comparable in terms of average family size (3.34 compared to 3.20, a difference of 4.4%), family households with children (26.0% compared to 27.4%, a difference of 5.2%), and births to unmarried women (30.2% compared to 32.4%, a difference of 7.1%).
Chinese vs Sudanese Family Structure
Family Structure MetricChineseSudanese
Family Households
Exceptional
68.1%
Tragic
60.0%
Family Households with Children
Tragic
26.0%
Fair
27.4%
Married-couple Households
Exceptional
50.4%
Tragic
42.1%
Average Family Size
Exceptional
3.34
Poor
3.20
Single Father Households
Exceptional
2.0%
Poor
2.4%
Single Mother Households
Exceptional
5.2%
Tragic
6.9%
Currently Married
Exceptional
49.5%
Tragic
43.7%
Divorced or Separated
Exceptional
11.2%
Tragic
12.4%
Births to Unmarried Women
Excellent
30.2%
Fair
32.4%

Chinese vs Sudanese Vehicle Availability

When considering vehicle availability, the most significant differences between Chinese and Sudanese communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 5.6%, a difference of 57.4%), 3 or more vehicles in household (23.9% compared to 17.8%, a difference of 33.7%), and no vehicles in household (8.2% compared to 9.8%, a difference of 19.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 90.3%, a difference of 1.7%), 2 or more vehicles in household (60.1% compared to 53.6%, a difference of 12.1%), and no vehicles in household (8.2% compared to 9.8%, a difference of 19.7%).
Chinese vs Sudanese Vehicle Availability
Vehicle Availability MetricChineseSudanese
No Vehicles Available
Exceptional
8.2%
Excellent
9.8%
1+ Vehicles Available
Exceptional
91.9%
Excellent
90.3%
2+ Vehicles Available
Exceptional
60.1%
Tragic
53.6%
3+ Vehicles Available
Exceptional
23.9%
Tragic
17.8%
4+ Vehicles Available
Exceptional
8.8%
Tragic
5.6%

Chinese vs Sudanese Education Level

When considering education level, the most significant differences between Chinese and Sudanese communities in the United States are seen in no schooling completed (1.5% compared to 2.3%, a difference of 57.0%), doctorate degree (1.8% compared to 2.1%, a difference of 18.6%), and master's degree (14.6% compared to 15.3%, a difference of 5.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.7%, a difference of 0.85%), 2nd grade (98.5% compared to 97.7%, a difference of 0.85%), and kindergarten (98.5% compared to 97.7%, a difference of 0.86%).
Chinese vs Sudanese Education Level
Education Level MetricChineseSudanese
No Schooling Completed
Exceptional
1.5%
Tragic
2.3%
Nursery School
Exceptional
98.6%
Tragic
97.7%
Kindergarten
Exceptional
98.5%
Tragic
97.7%
1st Grade
Exceptional
98.5%
Tragic
97.7%
2nd Grade
Exceptional
98.5%
Tragic
97.7%
3rd Grade
Exceptional
98.4%
Tragic
97.5%
4th Grade
Exceptional
98.3%
Tragic
97.3%
5th Grade
Exceptional
98.1%
Tragic
97.1%
6th Grade
Exceptional
97.9%
Poor
96.8%
7th Grade
Exceptional
97.1%
Fair
95.9%
8th Grade
Exceptional
96.9%
Fair
95.6%
9th Grade
Exceptional
96.3%
Fair
94.7%
10th Grade
Exceptional
95.5%
Fair
93.6%
11th Grade
Exceptional
94.6%
Average
92.5%
12th Grade, No Diploma
Exceptional
93.6%
Fair
91.0%
High School Diploma
Exceptional
92.0%
Average
89.1%
GED/Equivalency
Exceptional
89.0%
Fair
85.5%
College, Under 1 year
Exceptional
68.3%
Good
66.2%
College, 1 year or more
Exceptional
62.2%
Good
60.2%
Associate's Degree
Exceptional
48.5%
Good
47.1%
Bachelor's Degree
Good
38.5%
Good
38.9%
Master's Degree
Fair
14.6%
Good
15.3%
Professional Degree
Average
4.5%
Excellent
4.6%
Doctorate Degree
Fair
1.8%
Exceptional
2.1%

Chinese vs Sudanese Disability

When considering disability, the most significant differences between Chinese and Sudanese communities in the United States are seen in hearing disability (3.7% compared to 2.9%, a difference of 25.7%), disability age 5 to 17 (4.7% compared to 5.8%, a difference of 24.4%), and cognitive disability (15.9% compared to 18.9%, a difference of 18.5%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 0.48%), vision disability (2.0% compared to 2.1%, a difference of 2.4%), and female disability (12.3% compared to 12.0%, a difference of 2.5%).
Chinese vs Sudanese Disability
Disability MetricChineseSudanese
Disability
Tragic
12.2%
Good
11.5%
Males
Tragic
12.1%
Good
11.0%
Females
Fair
12.3%
Good
12.0%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
6.9%
Age | 35 to 64 years
Exceptional
10.3%
Tragic
11.9%
Age | 65 to 74 years
Exceptional
21.7%
Fair
23.7%
Age | Over 75 years
Tragic
48.7%
Fair
47.5%
Vision
Exceptional
2.0%
Excellent
2.1%
Hearing
Tragic
3.7%
Good
2.9%
Cognitive
Exceptional
15.9%
Tragic
18.9%
Ambulatory
Tragic
6.5%
Exceptional
5.7%
Self-Care
Tragic
2.6%
Exceptional
2.2%