Serbian vs Bangladeshi Community Comparison

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Serbian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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-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 LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Bangladeshi
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

Bangladeshis

Excellent
Fair
8,746
SOCIAL INDEX
84.9/ 100
SOCIAL RATING
53rd/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Serbian Communities

The statistical analysis conducted on geographies consisting of 106,399,188 people shows a moderate positive correlation between the proportion of Bangladeshis within Serbian communities in the United States with a correlation coefficient (R) of 0.469. On average, for every 1% (one percent) increase in Serbians within a typical geography, there is an increase of 0.172% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Serbians corresponds to an increase of 171.6 Bangladeshis.
Serbian Integration in Bangladeshi Communities

Serbian vs Bangladeshi Income

When considering income, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in per capita income ($46,551 compared to $35,897, a difference of 29.7%), wage/income gap (27.7% compared to 22.2%, a difference of 24.9%), and median male earnings ($57,975 compared to $46,744, a difference of 24.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,106 compared to $47,589, a difference of 7.4%), householder income over 65 years ($61,087 compared to $54,719, a difference of 11.6%), and median female earnings ($40,539 compared to $35,960, a difference of 12.7%).
Serbian vs Bangladeshi Income
Income MetricSerbianBangladeshi
Per Capita Income
Exceptional
$46,551
Tragic
$35,897
Median Family Income
Exceptional
$107,157
Tragic
$88,358
Median Household Income
Excellent
$87,572
Tragic
$74,112
Median Earnings
Exceptional
$48,677
Tragic
$41,263
Median Male Earnings
Exceptional
$57,975
Tragic
$46,744
Median Female Earnings
Excellent
$40,539
Tragic
$35,960
Householder Age | Under 25 years
Tragic
$51,106
Tragic
$47,589
Householder Age | 25 - 44 years
Excellent
$98,320
Tragic
$81,363
Householder Age | 45 - 64 years
Excellent
$103,522
Tragic
$86,402
Householder Age | Over 65 years
Average
$61,087
Tragic
$54,719
Wage/Income Gap
Tragic
27.7%
Exceptional
22.2%

Serbian vs Bangladeshi Poverty

When considering poverty, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in receiving food stamps (10.3% compared to 15.0%, a difference of 45.9%), married-couple family poverty (4.3% compared to 6.0%, a difference of 39.7%), and family poverty (8.0% compared to 10.9%, a difference of 36.9%). Conversely, both communities are more comparable in terms of single male poverty (12.5% compared to 13.3%, a difference of 7.1%), seniors poverty over the age of 75 (11.1% compared to 12.0%, a difference of 7.5%), and single father poverty (16.4% compared to 15.2%, a difference of 7.7%).
Serbian vs Bangladeshi Poverty
Poverty MetricSerbianBangladeshi
Poverty
Exceptional
11.2%
Tragic
14.8%
Families
Exceptional
8.0%
Tragic
10.9%
Males
Exceptional
10.2%
Tragic
13.6%
Females
Exceptional
12.3%
Tragic
16.0%
Females 18 to 24 years
Exceptional
19.1%
Tragic
22.5%
Females 25 to 34 years
Excellent
13.0%
Tragic
15.9%
Children Under 5 years
Excellent
16.3%
Tragic
20.6%
Children Under 16 years
Exceptional
14.8%
Tragic
19.9%
Boys Under 16 years
Exceptional
15.1%
Tragic
20.0%
Girls Under 16 years
Exceptional
15.1%
Tragic
20.0%
Single Males
Excellent
12.5%
Tragic
13.3%
Single Females
Exceptional
20.1%
Tragic
24.2%
Single Fathers
Average
16.4%
Exceptional
15.2%
Single Mothers
Excellent
28.6%
Tragic
31.7%
Married Couples
Exceptional
4.3%
Tragic
6.0%
Seniors Over 65 years
Exceptional
9.8%
Fair
11.2%
Seniors Over 75 years
Exceptional
11.1%
Good
12.0%
Receiving Food Stamps
Exceptional
10.3%
Tragic
15.0%

Serbian vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.8% compared to 7.4%, a difference of 19.3%), unemployment among seniors over 75 years (8.4% compared to 9.6%, a difference of 14.0%), and male unemployment (5.1% compared to 5.7%, a difference of 12.2%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.4% compared to 5.3%, a difference of 0.34%), unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.49%), and unemployment among ages 16 to 19 years (16.7% compared to 16.9%, a difference of 1.5%).
Serbian vs Bangladeshi Unemployment
Unemployment MetricSerbianBangladeshi
Unemployment
Exceptional
4.9%
Poor
5.4%
Males
Exceptional
5.1%
Tragic
5.7%
Females
Exceptional
4.9%
Good
5.2%
Youth < 25
Exceptional
11.0%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.8%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.4%
Average
6.6%
Age | 30 to 34 years
Good
5.4%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.4%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Exceptional
5.0%
Fair
5.2%
Seniors > 75
Exceptional
8.4%
Tragic
9.6%
Women w/ Children < 6
Exceptional
7.3%
Good
7.5%
Women w/ Children 6 to 17
Excellent
8.8%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.1%
Good
5.3%

Serbian vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (39.9% compared to 42.5%, a difference of 6.3%), in labor force | age 45-54 (83.4% compared to 81.3%, a difference of 2.6%), and in labor force | age 30-34 (85.8% compared to 84.3%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.5% compared to 85.1%, a difference of 0.45%), in labor force | age > 16 (65.2% compared to 65.9%, a difference of 1.1%), and in labor force | age 20-24 (77.3% compared to 78.1%, a difference of 1.1%).
Serbian vs Bangladeshi Labor Participation
Labor Participation MetricSerbianBangladeshi
In Labor Force | Age > 16
Good
65.2%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
39.9%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.5%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.8%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.1%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.4%
Tragic
81.3%

Serbian vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in single mother households (5.7% compared to 8.1%, a difference of 42.1%), single father households (2.2% compared to 3.1%, a difference of 40.2%), and family households with children (26.4% compared to 30.1%, a difference of 14.2%). Conversely, both communities are more comparable in terms of family households (63.0% compared to 64.3%, a difference of 1.9%), divorced or separated (12.0% compared to 12.3%, a difference of 2.1%), and married-couple households (47.0% compared to 43.5%, a difference of 7.9%).
Serbian vs Bangladeshi Family Structure
Family Structure MetricSerbianBangladeshi
Family Households
Tragic
63.0%
Average
64.3%
Family Households with Children
Tragic
26.4%
Exceptional
30.1%
Married-couple Households
Good
47.0%
Tragic
43.5%
Average Family Size
Tragic
3.12
Exceptional
3.37
Single Father Households
Exceptional
2.2%
Tragic
3.1%
Single Mother Households
Exceptional
5.7%
Tragic
8.1%
Currently Married
Exceptional
47.8%
Tragic
43.7%
Divorced or Separated
Average
12.0%
Poor
12.3%
Births to Unmarried Women
Good
30.7%
Tragic
34.4%

Serbian vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.6%, a difference of 26.1%), 3 or more vehicles in household (19.1% compared to 21.9%, a difference of 14.6%), and no vehicles in household (9.4% compared to 8.7%, a difference of 8.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 91.4%, a difference of 0.79%), 2 or more vehicles in household (56.1% compared to 58.4%, a difference of 4.1%), and no vehicles in household (9.4% compared to 8.7%, a difference of 8.7%).
Serbian vs Bangladeshi Vehicle Availability
Vehicle Availability MetricSerbianBangladeshi
No Vehicles Available
Exceptional
9.4%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
90.7%
Exceptional
91.4%
2+ Vehicles Available
Excellent
56.1%
Exceptional
58.4%
3+ Vehicles Available
Fair
19.1%
Exceptional
21.9%
4+ Vehicles Available
Poor
6.0%
Exceptional
7.6%

Serbian vs Bangladeshi Education Level

When considering education level, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in no schooling completed (1.7% compared to 3.5%, a difference of 111.9%), doctorate degree (2.0% compared to 1.2%, a difference of 63.3%), and professional degree (4.8% compared to 3.1%, a difference of 55.7%). Conversely, both communities are more comparable in terms of nursery school (98.4% compared to 96.6%, a difference of 1.9%), kindergarten (98.4% compared to 96.6%, a difference of 1.9%), and 1st grade (98.3% compared to 96.5%, a difference of 1.9%).
Serbian vs Bangladeshi Education Level
Education Level MetricSerbianBangladeshi
No Schooling Completed
Exceptional
1.7%
Tragic
3.5%
Nursery School
Exceptional
98.4%
Tragic
96.6%
Kindergarten
Exceptional
98.4%
Tragic
96.6%
1st Grade
Exceptional
98.3%
Tragic
96.5%
2nd Grade
Exceptional
98.3%
Tragic
96.5%
3rd Grade
Exceptional
98.2%
Tragic
96.3%
4th Grade
Exceptional
98.1%
Tragic
96.1%
5th Grade
Exceptional
97.9%
Tragic
95.9%
6th Grade
Exceptional
97.7%
Tragic
95.7%
7th Grade
Exceptional
97.0%
Tragic
94.5%
8th Grade
Exceptional
96.7%
Tragic
94.3%
9th Grade
Exceptional
96.0%
Tragic
93.4%
10th Grade
Exceptional
95.1%
Tragic
92.2%
11th Grade
Exceptional
94.1%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
92.8%
Tragic
89.3%
High School Diploma
Exceptional
91.1%
Tragic
86.9%
GED/Equivalency
Exceptional
87.9%
Tragic
83.1%
College, Under 1 year
Exceptional
67.4%
Tragic
61.4%
College, 1 year or more
Exceptional
61.4%
Tragic
54.5%
Associate's Degree
Exceptional
48.5%
Tragic
40.0%
Bachelor's Degree
Exceptional
40.1%
Tragic
30.2%
Master's Degree
Exceptional
16.1%
Tragic
10.5%
Professional Degree
Exceptional
4.8%
Tragic
3.1%
Doctorate Degree
Excellent
2.0%
Tragic
1.2%

Serbian vs Bangladeshi Disability

When considering disability, the most significant differences between Serbian and Bangladeshi communities in the United States are seen in disability age 35 to 64 (11.0% compared to 13.6%, a difference of 23.4%), disability age 65 to 74 (22.3% compared to 26.8%, a difference of 20.4%), and self-care disability (2.4% compared to 2.8%, a difference of 18.0%). Conversely, both communities are more comparable in terms of disability age under 5 (1.3% compared to 1.3%, a difference of 1.2%), ambulatory disability (6.1% compared to 6.3%, a difference of 2.0%), and hearing disability (3.3% compared to 3.2%, a difference of 3.1%).
Serbian vs Bangladeshi Disability
Disability MetricSerbianBangladeshi
Disability
Poor
11.9%
Tragic
12.6%
Males
Poor
11.5%
Tragic
12.0%
Females
Fair
12.3%
Tragic
13.1%
Age | Under 5 years
Tragic
1.3%
Poor
1.3%
Age | 5 to 17 years
Average
5.6%
Tragic
5.8%
Age | 18 to 34 years
Tragic
6.9%
Tragic
7.4%
Age | 35 to 64 years
Good
11.0%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
22.3%
Tragic
26.8%
Age | Over 75 years
Exceptional
46.1%
Tragic
49.4%
Vision
Good
2.1%
Tragic
2.3%
Hearing
Tragic
3.3%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Tragic
18.6%
Ambulatory
Average
6.1%
Poor
6.3%
Self-Care
Exceptional
2.4%
Tragic
2.8%