Chinese vs Serbian Community Comparison

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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
Serbian
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

Serbians

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

Serbian Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 54,919,157 people shows a weak positive correlation between the proportion of Serbians within Chinese communities in the United States with a correlation coefficient (R) of 0.213. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.009% in Serbians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 9.4 Serbians.
Chinese Integration in Serbian Communities

Chinese vs Serbian Income

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

Chinese vs Serbian Poverty

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

Chinese vs Serbian Unemployment

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

Chinese vs Serbian Labor Participation

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

Chinese vs Serbian Family Structure

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

Chinese vs Serbian Vehicle Availability

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

Chinese vs Serbian Education Level

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

Chinese vs Serbian Disability

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