Slovene vs Burmese Community Comparison

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Slovene
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 LeoneanSiouxSlavicSlovakSomaliSouth 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

Slovenes

Burmese

Good
Exceptional
8,224
SOCIAL INDEX
79.7/ 100
SOCIAL RATING
81st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Slovene Communities

The statistical analysis conducted on geographies consisting of 243,880,648 people shows no correlation between the proportion of Burmese within Slovene communities in the United States with a correlation coefficient (R) of 0.011. On average, for every 1% (one percent) increase in Slovenes within a typical geography, there is an increase of 0.001% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Slovenes corresponds to an increase of 0.8 Burmese.
Slovene Integration in Burmese Communities

Slovene vs Burmese Income

When considering income, the most significant differences between Slovene and Burmese communities in the United States are seen in median household income ($85,562 compared to $103,145, a difference of 20.5%), householder income over 65 years ($60,241 compared to $71,139, a difference of 18.1%), and householder income ages 45 - 64 years ($102,885 compared to $121,444, a difference of 18.0%). Conversely, both communities are more comparable in terms of wage/income gap (28.3% compared to 28.0%, a difference of 0.97%), householder income under 25 years ($50,886 compared to $54,800, a difference of 7.7%), and median female earnings ($39,817 compared to $44,911, a difference of 12.8%).
Slovene vs Burmese Income
Income MetricSloveneBurmese
Per Capita Income
Excellent
$45,581
Exceptional
$52,005
Median Family Income
Excellent
$106,020
Exceptional
$123,369
Median Household Income
Average
$85,562
Exceptional
$103,145
Median Earnings
Excellent
$47,995
Exceptional
$54,559
Median Male Earnings
Exceptional
$57,145
Exceptional
$65,236
Median Female Earnings
Average
$39,817
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$50,886
Exceptional
$54,800
Householder Age | 25 - 44 years
Good
$96,439
Exceptional
$113,701
Householder Age | 45 - 64 years
Good
$102,885
Exceptional
$121,444
Householder Age | Over 65 years
Fair
$60,241
Exceptional
$71,139
Wage/Income Gap
Tragic
28.3%
Tragic
28.0%

Slovene vs Burmese Poverty

When considering poverty, the most significant differences between Slovene and Burmese communities in the United States are seen in child poverty under the age of 5 (16.0% compared to 13.2%, a difference of 20.7%), female poverty among 25-34 year olds (12.8% compared to 11.2%, a difference of 14.7%), and receiving food stamps (9.8% compared to 8.6%, a difference of 13.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.3% compared to 18.9%, a difference of 2.1%), poverty (11.0% compared to 10.7%, a difference of 2.9%), and family poverty (7.5% compared to 7.3%, a difference of 3.0%).
Slovene vs Burmese Poverty
Poverty MetricSloveneBurmese
Poverty
Exceptional
11.0%
Exceptional
10.7%
Families
Exceptional
7.5%
Exceptional
7.3%
Males
Exceptional
10.0%
Exceptional
9.7%
Females
Exceptional
12.0%
Exceptional
11.6%
Females 18 to 24 years
Exceptional
19.3%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
11.2%
Children Under 5 years
Exceptional
16.0%
Exceptional
13.2%
Children Under 16 years
Exceptional
14.3%
Exceptional
12.8%
Boys Under 16 years
Exceptional
14.5%
Exceptional
13.0%
Girls Under 16 years
Exceptional
14.6%
Exceptional
13.0%
Single Males
Fair
13.0%
Exceptional
11.7%
Single Females
Exceptional
20.3%
Exceptional
18.3%
Single Fathers
Tragic
17.3%
Exceptional
15.5%
Single Mothers
Good
28.8%
Exceptional
26.2%
Married Couples
Exceptional
3.8%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
9.3%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
10.6%
Excellent
11.7%
Receiving Food Stamps
Exceptional
9.8%
Exceptional
8.6%

Slovene vs Burmese Unemployment

When considering unemployment, the most significant differences between Slovene and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.4% compared to 6.5%, a difference of 13.9%), unemployment among women with children ages 6 to 17 years (9.1% compared to 8.0%, a difference of 13.8%), and unemployment among seniors over 75 years (9.3% compared to 8.2%, a difference of 13.5%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.2% compared to 5.1%, a difference of 0.13%), unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 0.79%), and male unemployment (5.0% compared to 4.9%, a difference of 0.86%).
Slovene vs Burmese Unemployment
Unemployment MetricSloveneBurmese
Unemployment
Exceptional
4.7%
Exceptional
4.9%
Males
Exceptional
5.0%
Exceptional
4.9%
Females
Exceptional
4.5%
Exceptional
5.0%
Youth < 25
Exceptional
10.7%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
16.4%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.3%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.2%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.4%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.0%
Exceptional
5.2%
Seniors > 65
Exceptional
4.8%
Exceptional
5.0%
Seniors > 75
Tragic
9.3%
Exceptional
8.2%
Women w/ Children < 6
Excellent
7.4%
Exceptional
6.5%
Women w/ Children 6 to 17
Fair
9.1%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Slovene vs Burmese Labor Participation

When considering labor participation, the most significant differences between Slovene and Burmese communities in the United States are seen in in labor force | age 16-19 (43.7% compared to 34.5%, a difference of 26.7%), in labor force | age 20-24 (78.7% compared to 73.6%, a difference of 7.0%), and in labor force | age > 16 (64.9% compared to 66.2%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.5% compared to 80.3%, a difference of 0.25%), in labor force | age 30-34 (85.6% compared to 85.3%, a difference of 0.35%), and in labor force | age 45-54 (83.9% compared to 83.6%, a difference of 0.35%).
Slovene vs Burmese Labor Participation
Labor Participation MetricSloveneBurmese
In Labor Force | Age > 16
Poor
64.9%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.5%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
43.7%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
78.7%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
86.4%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
85.6%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.9%
Exceptional
83.6%

Slovene vs Burmese Family Structure

When considering family structure, the most significant differences between Slovene and Burmese communities in the United States are seen in births to unmarried women (31.2% compared to 26.4%, a difference of 18.3%), divorced or separated (12.3% compared to 10.7%, a difference of 14.4%), and family households with children (25.8% compared to 28.5%, a difference of 10.4%). Conversely, both communities are more comparable in terms of currently married (48.1% compared to 48.9%, a difference of 1.7%), average family size (3.07 compared to 3.22, a difference of 4.7%), and family households (62.4% compared to 65.7%, a difference of 5.3%).
Slovene vs Burmese Family Structure
Family Structure MetricSloveneBurmese
Family Households
Tragic
62.4%
Exceptional
65.7%
Family Households with Children
Tragic
25.8%
Exceptional
28.5%
Married-couple Households
Excellent
47.1%
Exceptional
49.8%
Average Family Size
Tragic
3.07
Fair
3.22
Single Father Households
Exceptional
2.2%
Exceptional
2.0%
Single Mother Households
Exceptional
5.6%
Exceptional
5.3%
Currently Married
Exceptional
48.1%
Exceptional
48.9%
Divorced or Separated
Poor
12.3%
Exceptional
10.7%
Births to Unmarried Women
Good
31.2%
Exceptional
26.4%

Slovene vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Slovene and Burmese communities in the United States are seen in no vehicles in household (8.0% compared to 9.7%, a difference of 20.3%), 4 or more vehicles in household (6.3% compared to 6.8%, a difference of 7.7%), and 3 or more vehicles in household (20.2% compared to 20.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (58.3% compared to 57.8%, a difference of 0.82%), 1 or more vehicles in household (92.0% compared to 90.4%, a difference of 1.8%), and 3 or more vehicles in household (20.2% compared to 20.6%, a difference of 2.5%).
Slovene vs Burmese Vehicle Availability
Vehicle Availability MetricSloveneBurmese
No Vehicles Available
Exceptional
8.0%
Excellent
9.7%
1+ Vehicles Available
Exceptional
92.0%
Excellent
90.4%
2+ Vehicles Available
Exceptional
58.3%
Exceptional
57.8%
3+ Vehicles Available
Excellent
20.2%
Exceptional
20.6%
4+ Vehicles Available
Average
6.3%
Exceptional
6.8%

Slovene vs Burmese Education Level

When considering education level, the most significant differences between Slovene and Burmese communities in the United States are seen in no schooling completed (1.4% compared to 1.9%, a difference of 43.2%), doctorate degree (1.9% compared to 2.6%, a difference of 39.0%), and professional degree (4.6% compared to 6.1%, a difference of 33.8%). Conversely, both communities are more comparable in terms of ged/equivalency (88.8% compared to 88.3%, a difference of 0.56%), nursery school (98.7% compared to 98.1%, a difference of 0.63%), and kindergarten (98.7% compared to 98.1%, a difference of 0.63%).
Slovene vs Burmese Education Level
Education Level MetricSloveneBurmese
No Schooling Completed
Exceptional
1.4%
Excellent
1.9%
Nursery School
Exceptional
98.7%
Excellent
98.1%
Kindergarten
Exceptional
98.7%
Excellent
98.1%
1st Grade
Exceptional
98.7%
Excellent
98.0%
2nd Grade
Exceptional
98.6%
Excellent
98.0%
3rd Grade
Exceptional
98.6%
Good
97.9%
4th Grade
Exceptional
98.4%
Excellent
97.7%
5th Grade
Exceptional
98.3%
Excellent
97.5%
6th Grade
Exceptional
98.2%
Excellent
97.3%
7th Grade
Exceptional
97.6%
Excellent
96.3%
8th Grade
Exceptional
97.5%
Exceptional
96.1%
9th Grade
Exceptional
96.7%
Exceptional
95.4%
10th Grade
Exceptional
95.9%
Exceptional
94.5%
11th Grade
Exceptional
94.9%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
92.6%
High School Diploma
Exceptional
92.0%
Exceptional
90.8%
GED/Equivalency
Exceptional
88.8%
Exceptional
88.3%
College, Under 1 year
Exceptional
67.3%
Exceptional
71.9%
College, 1 year or more
Excellent
60.9%
Exceptional
66.7%
Associate's Degree
Excellent
47.9%
Exceptional
54.6%
Bachelor's Degree
Good
39.1%
Exceptional
46.9%
Master's Degree
Good
15.5%
Exceptional
19.7%
Professional Degree
Good
4.6%
Exceptional
6.1%
Doctorate Degree
Good
1.9%
Exceptional
2.6%

Slovene vs Burmese Disability

When considering disability, the most significant differences between Slovene and Burmese communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 24.7%), disability age 5 to 17 (6.0% compared to 4.8%, a difference of 24.7%), and disability age 35 to 64 (11.4% compared to 9.2%, a difference of 23.7%). Conversely, both communities are more comparable in terms of disability age over 75 (45.6% compared to 45.9%, a difference of 0.66%), cognitive disability (16.5% compared to 16.7%, a difference of 1.3%), and self-care disability (2.4% compared to 2.3%, a difference of 5.6%).
Slovene vs Burmese Disability
Disability MetricSloveneBurmese
Disability
Tragic
12.4%
Exceptional
10.4%
Males
Tragic
12.0%
Exceptional
10.0%
Females
Tragic
12.7%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.4%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.0%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.3%
Exceptional
6.0%
Age | 35 to 64 years
Fair
11.4%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
22.2%
Exceptional
20.6%
Age | Over 75 years
Exceptional
45.6%
Exceptional
45.9%
Vision
Good
2.1%
Exceptional
1.8%
Hearing
Tragic
3.5%
Exceptional
2.8%
Cognitive
Exceptional
16.5%
Exceptional
16.7%
Ambulatory
Poor
6.2%
Exceptional
5.3%
Self-Care
Exceptional
2.4%
Exceptional
2.3%