Yugoslavian vs Burmese Community Comparison

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Yugoslavian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianCajunCambodianCanadianCape 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
Burmese
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-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYumanYup'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

Yugoslavians

Burmese

Good
Exceptional
6,775
SOCIAL INDEX
65.2/ 100
SOCIAL RATING
143rd/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Yugoslavian Communities

The statistical analysis conducted on geographies consisting of 268,223,060 people shows a moderate negative correlation between the proportion of Burmese within Yugoslavian communities in the United States with a correlation coefficient (R) of -0.491. On average, for every 1% (one percent) increase in Yugoslavians within a typical geography, there is a decrease of 0.090% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Yugoslavians corresponds to a decrease of 89.5 Burmese.
Yugoslavian Integration in Burmese Communities

Yugoslavian vs Burmese Income

When considering income, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in median household income ($82,186 compared to $103,145, a difference of 25.5%), householder income ages 45 - 64 years ($97,558 compared to $121,444, a difference of 24.5%), and householder income ages 25 - 44 years ($91,368 compared to $113,701, a difference of 24.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.7% compared to 28.0%, a difference of 4.9%), householder income under 25 years ($51,028 compared to $54,800, a difference of 7.4%), and median female earnings ($38,573 compared to $44,911, a difference of 16.4%).
Yugoslavian vs Burmese Income
Income MetricYugoslavianBurmese
Per Capita Income
Fair
$42,792
Exceptional
$52,005
Median Family Income
Fair
$100,119
Exceptional
$123,369
Median Household Income
Poor
$82,186
Exceptional
$103,145
Median Earnings
Fair
$45,846
Exceptional
$54,559
Median Male Earnings
Fair
$53,967
Exceptional
$65,236
Median Female Earnings
Tragic
$38,573
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$51,028
Exceptional
$54,800
Householder Age | 25 - 44 years
Poor
$91,368
Exceptional
$113,701
Householder Age | 45 - 64 years
Fair
$97,558
Exceptional
$121,444
Householder Age | Over 65 years
Tragic
$58,243
Exceptional
$71,139
Wage/Income Gap
Tragic
26.7%
Tragic
28.0%

Yugoslavian vs Burmese Poverty

When considering poverty, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in child poverty under the age of 5 (17.2% compared to 13.2%, a difference of 29.7%), child poverty among girls under 16 (16.2% compared to 13.0%, a difference of 24.4%), and receiving food stamps (10.7% compared to 8.6%, a difference of 23.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.0% compared to 10.1%, a difference of 0.77%), seniors poverty over the age of 75 (11.2% compared to 11.7%, a difference of 3.9%), and female poverty among 18-24 year olds (19.8% compared to 18.9%, a difference of 4.6%).
Yugoslavian vs Burmese Poverty
Poverty MetricYugoslavianBurmese
Poverty
Excellent
11.8%
Exceptional
10.7%
Families
Excellent
8.5%
Exceptional
7.3%
Males
Good
10.8%
Exceptional
9.7%
Females
Good
13.1%
Exceptional
11.6%
Females 18 to 24 years
Good
19.8%
Exceptional
18.9%
Females 25 to 34 years
Average
13.6%
Exceptional
11.2%
Children Under 5 years
Average
17.2%
Exceptional
13.2%
Children Under 16 years
Good
15.8%
Exceptional
12.8%
Boys Under 16 years
Good
15.9%
Exceptional
13.0%
Girls Under 16 years
Good
16.2%
Exceptional
13.0%
Single Males
Good
12.6%
Exceptional
11.7%
Single Females
Fair
21.2%
Exceptional
18.3%
Single Fathers
Average
16.3%
Exceptional
15.5%
Single Mothers
Fair
29.4%
Exceptional
26.2%
Married Couples
Exceptional
4.6%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
10.0%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
11.2%
Excellent
11.7%
Receiving Food Stamps
Exceptional
10.7%
Exceptional
8.6%

Yugoslavian vs Burmese Unemployment

When considering unemployment, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.5%, a difference of 18.8%), unemployment among seniors over 75 years (9.1% compared to 8.2%, a difference of 11.2%), and unemployment among ages 16 to 19 years (15.6% compared to 17.0%, a difference of 8.6%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.21%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.31%), and male unemployment (5.0% compared to 4.9%, a difference of 1.0%).
Yugoslavian vs Burmese Unemployment
Unemployment MetricYugoslavianBurmese
Unemployment
Exceptional
4.8%
Exceptional
4.9%
Males
Exceptional
5.0%
Exceptional
4.9%
Females
Exceptional
4.8%
Exceptional
5.0%
Youth < 25
Exceptional
10.7%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
15.6%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.6%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.1%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.5%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.1%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.4%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
5.0%
Seniors > 75
Tragic
9.1%
Exceptional
8.2%
Women w/ Children < 6
Fair
7.7%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.5%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.9%

Yugoslavian vs Burmese Labor Participation

When considering labor participation, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in in labor force | age 16-19 (41.8% compared to 34.5%, a difference of 21.1%), in labor force | age 20-24 (78.0% compared to 73.6%, a difference of 5.9%), and in labor force | age > 16 (65.4% compared to 66.2%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.3%, a difference of 0.17%), in labor force | age 35-44 (84.9% compared to 84.7%, a difference of 0.22%), and in labor force | age 20-64 (80.1% compared to 80.3%, a difference of 0.26%).
Yugoslavian vs Burmese Labor Participation
Labor Participation MetricYugoslavianBurmese
In Labor Force | Age > 16
Excellent
65.4%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
41.8%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
78.0%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
85.6%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.1%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
84.9%
Exceptional
84.7%
In Labor Force | Age 45-54
Good
83.0%
Exceptional
83.6%

Yugoslavian vs Burmese Family Structure

When considering family structure, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in births to unmarried women (30.8% compared to 26.4%, a difference of 17.0%), single mother households (6.1% compared to 5.3%, a difference of 16.1%), and single father households (2.3% compared to 2.0%, a difference of 15.5%). Conversely, both communities are more comparable in terms of average family size (3.15 compared to 3.22, a difference of 2.2%), currently married (47.2% compared to 48.9%, a difference of 3.8%), and family households (63.1% compared to 65.7%, a difference of 4.2%).
Yugoslavian vs Burmese Family Structure
Family Structure MetricYugoslavianBurmese
Family Households
Tragic
63.1%
Exceptional
65.7%
Family Households with Children
Tragic
27.0%
Exceptional
28.5%
Married-couple Households
Fair
46.2%
Exceptional
49.8%
Average Family Size
Tragic
3.15
Fair
3.22
Single Father Households
Average
2.3%
Exceptional
2.0%
Single Mother Households
Good
6.1%
Exceptional
5.3%
Currently Married
Good
47.2%
Exceptional
48.9%
Divorced or Separated
Tragic
12.3%
Exceptional
10.7%
Births to Unmarried Women
Good
30.8%
Exceptional
26.4%

Yugoslavian vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in 4 or more vehicles in household (6.3% compared to 6.8%, a difference of 8.9%), no vehicles in household (9.0% compared to 9.7%, a difference of 7.7%), and 3 or more vehicles in household (19.7% compared to 20.6%, a difference of 4.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 90.4%, a difference of 0.75%), 2 or more vehicles in household (56.6% compared to 57.8%, a difference of 2.2%), and 3 or more vehicles in household (19.7% compared to 20.6%, a difference of 4.9%).
Yugoslavian vs Burmese Vehicle Availability
Vehicle Availability MetricYugoslavianBurmese
No Vehicles Available
Exceptional
9.0%
Excellent
9.7%
1+ Vehicles Available
Exceptional
91.1%
Excellent
90.4%
2+ Vehicles Available
Exceptional
56.6%
Exceptional
57.8%
3+ Vehicles Available
Good
19.7%
Exceptional
20.6%
4+ Vehicles Available
Average
6.3%
Exceptional
6.8%

Yugoslavian vs Burmese Education Level

When considering education level, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in doctorate degree (1.7% compared to 2.6%, a difference of 52.1%), professional degree (4.1% compared to 6.1%, a difference of 49.5%), and master's degree (14.4% compared to 19.7%, a difference of 37.0%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 98.1%, a difference of 0.12%), kindergarten (98.2% compared to 98.1%, a difference of 0.12%), and 1st grade (98.2% compared to 98.0%, a difference of 0.12%).
Yugoslavian vs Burmese Education Level
Education Level MetricYugoslavianBurmese
No Schooling Completed
Exceptional
1.8%
Excellent
1.9%
Nursery School
Exceptional
98.2%
Excellent
98.1%
Kindergarten
Exceptional
98.2%
Excellent
98.1%
1st Grade
Exceptional
98.2%
Excellent
98.0%
2nd Grade
Exceptional
98.2%
Excellent
98.0%
3rd Grade
Exceptional
98.1%
Good
97.9%
4th Grade
Exceptional
97.9%
Excellent
97.7%
5th Grade
Exceptional
97.7%
Excellent
97.5%
6th Grade
Exceptional
97.5%
Excellent
97.3%
7th Grade
Exceptional
96.8%
Excellent
96.3%
8th Grade
Exceptional
96.5%
Exceptional
96.1%
9th Grade
Exceptional
95.7%
Exceptional
95.4%
10th Grade
Exceptional
94.6%
Exceptional
94.5%
11th Grade
Exceptional
93.4%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
92.1%
Exceptional
92.6%
High School Diploma
Exceptional
90.2%
Exceptional
90.8%
GED/Equivalency
Excellent
86.7%
Exceptional
88.3%
College, Under 1 year
Average
65.6%
Exceptional
71.9%
College, 1 year or more
Average
59.2%
Exceptional
66.7%
Associate's Degree
Average
46.0%
Exceptional
54.6%
Bachelor's Degree
Fair
37.1%
Exceptional
46.9%
Master's Degree
Fair
14.4%
Exceptional
19.7%
Professional Degree
Poor
4.1%
Exceptional
6.1%
Doctorate Degree
Poor
1.7%
Exceptional
2.6%

Yugoslavian vs Burmese Disability

When considering disability, the most significant differences between Yugoslavian and Burmese communities in the United States are seen in disability age 35 to 64 (11.7% compared to 9.2%, a difference of 27.3%), disability age under 5 (1.4% compared to 1.1%, a difference of 26.7%), and disability age 5 to 17 (5.8% compared to 4.8%, a difference of 20.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 45.9%, a difference of 1.9%), cognitive disability (17.2% compared to 16.7%, a difference of 3.0%), and self-care disability (2.5% compared to 2.3%, a difference of 9.9%).
Yugoslavian vs Burmese Disability
Disability MetricYugoslavianBurmese
Disability
Tragic
12.2%
Exceptional
10.4%
Males
Tragic
11.9%
Exceptional
10.0%
Females
Tragic
12.6%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.4%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.2%
Exceptional
6.0%
Age | 35 to 64 years
Poor
11.7%
Exceptional
9.2%
Age | 65 to 74 years
Average
23.3%
Exceptional
20.6%
Age | Over 75 years
Excellent
46.8%
Exceptional
45.9%
Vision
Average
2.2%
Exceptional
1.8%
Hearing
Tragic
3.3%
Exceptional
2.8%
Cognitive
Good
17.2%
Exceptional
16.7%
Ambulatory
Poor
6.3%
Exceptional
5.3%
Self-Care
Fair
2.5%
Exceptional
2.3%