Serbian vs Chinese Community Comparison

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Serbian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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
Chinese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseShoshoneSierra 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 LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Serbians

Chinese

Excellent
Exceptional
8,746
SOCIAL INDEX
84.9/ 100
SOCIAL RATING
53rd/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Serbian Communities

The statistical analysis conducted on geographies consisting of 54,921,019 people shows a very strong positive correlation between the proportion of Chinese within Serbian communities in the United States with a correlation coefficient (R) of 0.815. On average, for every 1% (one percent) increase in Serbians within a typical geography, there is an increase of 0.557% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Serbians corresponds to an increase of 556.9 Chinese.
Serbian Integration in Chinese Communities

Serbian vs Chinese Income

When considering income, the most significant differences between Serbian and Chinese communities in the United States are seen in householder income over 65 years ($61,087 compared to $77,465, a difference of 26.8%), householder income under 25 years ($51,106 compared to $58,162, a difference of 13.8%), and median household income ($87,572 compared to $98,496, a difference of 12.5%). Conversely, both communities are more comparable in terms of median earnings ($48,677 compared to $48,836, a difference of 0.33%), per capita income ($46,551 compared to $46,098, a difference of 0.98%), and median male earnings ($57,975 compared to $56,872, a difference of 1.9%).
Serbian vs Chinese Income
Income MetricSerbianChinese
Per Capita Income
Exceptional
$46,551
Exceptional
$46,098
Median Family Income
Exceptional
$107,157
Exceptional
$116,188
Median Household Income
Excellent
$87,572
Exceptional
$98,496
Median Earnings
Exceptional
$48,677
Exceptional
$48,836
Median Male Earnings
Exceptional
$57,975
Exceptional
$56,872
Median Female Earnings
Excellent
$40,539
Exceptional
$41,461
Householder Age | Under 25 years
Tragic
$51,106
Exceptional
$58,162
Householder Age | 25 - 44 years
Excellent
$98,320
Exceptional
$104,264
Householder Age | 45 - 64 years
Excellent
$103,522
Exceptional
$116,156
Householder Age | Over 65 years
Average
$61,087
Exceptional
$77,465
Wage/Income Gap
Tragic
27.7%
Average
25.9%

Serbian vs Chinese Poverty

When considering poverty, the most significant differences between Serbian and Chinese communities in the United States are seen in child poverty among boys under 16 (15.1% compared to 11.9%, a difference of 26.9%), child poverty under the age of 5 (16.3% compared to 13.1%, a difference of 25.1%), and single female poverty (20.1% compared to 16.1%, a difference of 24.8%). Conversely, both communities are more comparable in terms of receiving food stamps (10.3% compared to 9.8%, a difference of 5.6%), single father poverty (16.4% compared to 15.4%, a difference of 6.2%), and single male poverty (12.5% compared to 11.0%, a difference of 13.5%).
Serbian vs Chinese Poverty
Poverty MetricSerbianChinese
Poverty
Exceptional
11.2%
Exceptional
9.5%
Families
Exceptional
8.0%
Exceptional
6.5%
Males
Exceptional
10.2%
Exceptional
8.7%
Females
Exceptional
12.3%
Exceptional
10.4%
Females 18 to 24 years
Exceptional
19.1%
Exceptional
16.2%
Females 25 to 34 years
Excellent
13.0%
Exceptional
11.0%
Children Under 5 years
Excellent
16.3%
Exceptional
13.1%
Children Under 16 years
Exceptional
14.8%
Exceptional
11.9%
Boys Under 16 years
Exceptional
15.1%
Exceptional
11.9%
Girls Under 16 years
Exceptional
15.1%
Exceptional
12.3%
Single Males
Excellent
12.5%
Exceptional
11.0%
Single Females
Exceptional
20.1%
Exceptional
16.1%
Single Fathers
Average
16.4%
Exceptional
15.4%
Single Mothers
Excellent
28.6%
Exceptional
24.6%
Married Couples
Exceptional
4.3%
Exceptional
3.6%
Seniors Over 65 years
Exceptional
9.8%
Exceptional
8.3%
Seniors Over 75 years
Exceptional
11.1%
Exceptional
9.1%
Receiving Food Stamps
Exceptional
10.3%
Exceptional
9.8%

Serbian vs Chinese Unemployment

When considering unemployment, the most significant differences between Serbian and Chinese communities in the United States are seen in unemployment among seniors over 75 years (8.4% compared to 5.9%, a difference of 42.6%), unemployment among seniors over 65 years (5.0% compared to 4.2%, a difference of 18.6%), and unemployment among ages 60 to 64 years (4.7% compared to 4.0%, a difference of 17.2%). Conversely, both communities are more comparable in terms of male unemployment (5.1% compared to 4.9%, a difference of 2.8%), unemployment among youth under 25 years (11.0% compared to 10.7%, a difference of 3.2%), and unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 3.5%).
Serbian vs Chinese Unemployment
Unemployment MetricSerbianChinese
Unemployment
Exceptional
4.9%
Exceptional
4.7%
Males
Exceptional
5.1%
Exceptional
4.9%
Females
Exceptional
4.9%
Exceptional
4.5%
Youth < 25
Exceptional
11.0%
Exceptional
10.7%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
16.0%
Age | 20 to 24 years
Exceptional
9.8%
Exceptional
9.4%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
6.1%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.0%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.4%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.4%
Seniors > 65
Exceptional
5.0%
Exceptional
4.2%
Seniors > 75
Exceptional
8.4%
Exceptional
5.9%
Women w/ Children < 6
Exceptional
7.3%
Exceptional
6.8%
Women w/ Children 6 to 17
Excellent
8.8%
Tragic
9.3%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.9%

Serbian vs Chinese Labor Participation

When considering labor participation, the most significant differences between Serbian and Chinese communities in the United States are seen in in labor force | age 16-19 (39.9% compared to 38.6%, a difference of 3.5%), in labor force | age 25-29 (85.5% compared to 84.3%, a difference of 1.3%), and in labor force | age 30-34 (85.8% compared to 85.0%, a difference of 0.88%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.3% compared to 77.3%, a difference of 0.010%), in labor force | age 35-44 (85.1% compared to 85.1%, a difference of 0.010%), and in labor force | age 20-64 (80.3% compared to 80.7%, a difference of 0.49%).
Serbian vs Chinese Labor Participation
Labor Participation MetricSerbianChinese
In Labor Force | Age > 16
Good
65.2%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
39.9%
Exceptional
38.6%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
77.3%
In Labor Force | Age 25-29
Exceptional
85.5%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.8%
Excellent
85.0%
In Labor Force | Age 35-44
Exceptional
85.1%
Exceptional
85.1%
In Labor Force | Age 45-54
Exceptional
83.4%
Exceptional
84.1%

Serbian vs Chinese Family Structure

When considering family structure, the most significant differences between Serbian and Chinese communities in the United States are seen in single father households (2.2% compared to 2.0%, a difference of 11.1%), single mother households (5.7% compared to 5.2%, a difference of 10.9%), and family households (63.0% compared to 68.1%, a difference of 8.1%). Conversely, both communities are more comparable in terms of family households with children (26.4% compared to 26.0%, a difference of 1.3%), births to unmarried women (30.7% compared to 30.2%, a difference of 1.5%), and currently married (47.8% compared to 49.5%, a difference of 3.6%).
Serbian vs Chinese Family Structure
Family Structure MetricSerbianChinese
Family Households
Tragic
63.0%
Exceptional
68.1%
Family Households with Children
Tragic
26.4%
Tragic
26.0%
Married-couple Households
Good
47.0%
Exceptional
50.4%
Average Family Size
Tragic
3.12
Exceptional
3.34
Single Father Households
Exceptional
2.2%
Exceptional
2.0%
Single Mother Households
Exceptional
5.7%
Exceptional
5.2%
Currently Married
Exceptional
47.8%
Exceptional
49.5%
Divorced or Separated
Average
12.0%
Exceptional
11.2%
Births to Unmarried Women
Good
30.7%
Excellent
30.2%

Serbian vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Serbian and Chinese communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 8.8%, a difference of 47.7%), 3 or more vehicles in household (19.1% compared to 23.9%, a difference of 25.1%), and no vehicles in household (9.4% compared to 8.2%, a difference of 14.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 91.9%, a difference of 1.3%), 2 or more vehicles in household (56.1% compared to 60.1%, a difference of 7.1%), and no vehicles in household (9.4% compared to 8.2%, a difference of 14.6%).
Serbian vs Chinese Vehicle Availability
Vehicle Availability MetricSerbianChinese
No Vehicles Available
Exceptional
9.4%
Exceptional
8.2%
1+ Vehicles Available
Exceptional
90.7%
Exceptional
91.9%
2+ Vehicles Available
Excellent
56.1%
Exceptional
60.1%
3+ Vehicles Available
Fair
19.1%
Exceptional
23.9%
4+ Vehicles Available
Poor
6.0%
Exceptional
8.8%

Serbian vs Chinese Education Level

When considering education level, the most significant differences between Serbian and Chinese communities in the United States are seen in no schooling completed (1.7% compared to 1.5%, a difference of 13.5%), doctorate degree (2.0% compared to 1.8%, a difference of 12.0%), and master's degree (16.1% compared to 14.6%, a difference of 10.3%). Conversely, both communities are more comparable in terms of associate's degree (48.5% compared to 48.5%, a difference of 0.020%), nursery school (98.4% compared to 98.6%, a difference of 0.18%), and kindergarten (98.4% compared to 98.5%, a difference of 0.18%).
Serbian vs Chinese Education Level
Education Level MetricSerbianChinese
No Schooling Completed
Exceptional
1.7%
Exceptional
1.5%
Nursery School
Exceptional
98.4%
Exceptional
98.6%
Kindergarten
Exceptional
98.4%
Exceptional
98.5%
1st Grade
Exceptional
98.3%
Exceptional
98.5%
2nd Grade
Exceptional
98.3%
Exceptional
98.5%
3rd Grade
Exceptional
98.2%
Exceptional
98.4%
4th Grade
Exceptional
98.1%
Exceptional
98.3%
5th Grade
Exceptional
97.9%
Exceptional
98.1%
6th Grade
Exceptional
97.7%
Exceptional
97.9%
7th Grade
Exceptional
97.0%
Exceptional
97.1%
8th Grade
Exceptional
96.7%
Exceptional
96.9%
9th Grade
Exceptional
96.0%
Exceptional
96.3%
10th Grade
Exceptional
95.1%
Exceptional
95.5%
11th Grade
Exceptional
94.1%
Exceptional
94.6%
12th Grade, No Diploma
Exceptional
92.8%
Exceptional
93.6%
High School Diploma
Exceptional
91.1%
Exceptional
92.0%
GED/Equivalency
Exceptional
87.9%
Exceptional
89.0%
College, Under 1 year
Exceptional
67.4%
Exceptional
68.3%
College, 1 year or more
Exceptional
61.4%
Exceptional
62.2%
Associate's Degree
Exceptional
48.5%
Exceptional
48.5%
Bachelor's Degree
Exceptional
40.1%
Good
38.5%
Master's Degree
Exceptional
16.1%
Fair
14.6%
Professional Degree
Exceptional
4.8%
Average
4.5%
Doctorate Degree
Excellent
2.0%
Fair
1.8%

Serbian vs Chinese Disability

When considering disability, the most significant differences between Serbian and Chinese communities in the United States are seen in disability age 5 to 17 (5.6% compared to 4.7%, a difference of 19.0%), disability age under 5 (1.3% compared to 1.1%, a difference of 14.2%), and hearing disability (3.3% compared to 3.7%, a difference of 12.8%). Conversely, both communities are more comparable in terms of female disability (12.3% compared to 12.3%, a difference of 0.52%), disability (11.9% compared to 12.2%, a difference of 2.4%), and disability age 65 to 74 (22.3% compared to 21.7%, a difference of 2.7%).
Serbian vs Chinese Disability
Disability MetricSerbianChinese
Disability
Poor
11.9%
Tragic
12.2%
Males
Poor
11.5%
Tragic
12.1%
Females
Fair
12.3%
Fair
12.3%
Age | Under 5 years
Tragic
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Average
5.6%
Exceptional
4.7%
Age | 18 to 34 years
Tragic
6.9%
Exceptional
6.3%
Age | 35 to 64 years
Good
11.0%
Exceptional
10.3%
Age | 65 to 74 years
Exceptional
22.3%
Exceptional
21.7%
Age | Over 75 years
Exceptional
46.1%
Tragic
48.7%
Vision
Good
2.1%
Exceptional
2.0%
Hearing
Tragic
3.3%
Tragic
3.7%
Cognitive
Exceptional
16.7%
Exceptional
15.9%
Ambulatory
Average
6.1%
Tragic
6.5%
Self-Care
Exceptional
2.4%
Tragic
2.6%