Burmese vs Lithuanian Community Comparison

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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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Lithuanian
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Lithuanians

Exceptional
Excellent
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 380,250,910 people shows a slight negative correlation between the proportion of Lithuanians within Burmese communities in the United States with a correlation coefficient (R) of -0.091. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.001% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 1.4 Lithuanians.
Burmese Integration in Lithuanian Communities

Burmese vs Lithuanian Income

When considering income, the most significant differences between Burmese and Lithuanian communities in the United States are seen in median household income ($103,145 compared to $93,852, a difference of 9.9%), householder income over 65 years ($71,139 compared to $65,209, a difference of 9.1%), and householder income ages 25 - 44 years ($113,701 compared to $105,223, a difference of 8.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $53,552, a difference of 2.3%), wage/income gap (28.0% compared to 28.7%, a difference of 2.6%), and per capita income ($52,005 compared to $49,448, a difference of 5.2%).
Burmese vs Lithuanian Income
Income MetricBurmeseLithuanian
Per Capita Income
Exceptional
$52,005
Exceptional
$49,448
Median Family Income
Exceptional
$123,369
Exceptional
$115,395
Median Household Income
Exceptional
$103,145
Exceptional
$93,852
Median Earnings
Exceptional
$54,559
Exceptional
$50,991
Median Male Earnings
Exceptional
$65,236
Exceptional
$61,228
Median Female Earnings
Exceptional
$44,911
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$53,552
Householder Age | 25 - 44 years
Exceptional
$113,701
Exceptional
$105,223
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$112,484
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$65,209
Wage/Income Gap
Tragic
28.0%
Tragic
28.7%

Burmese vs Lithuanian Poverty

When considering poverty, the most significant differences between Burmese and Lithuanian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 15.2%, a difference of 14.8%), single father poverty (15.5% compared to 17.3%, a difference of 11.8%), and receiving food stamps (8.6% compared to 9.7%, a difference of 11.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.9% compared to 18.7%, a difference of 1.1%), male poverty (9.7% compared to 9.5%, a difference of 1.5%), and female poverty (11.6% compared to 11.4%, a difference of 1.9%).
Burmese vs Lithuanian Poverty
Poverty MetricBurmeseLithuanian
Poverty
Exceptional
10.7%
Exceptional
10.5%
Families
Exceptional
7.3%
Exceptional
7.2%
Males
Exceptional
9.7%
Exceptional
9.5%
Females
Exceptional
11.6%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
18.9%
Exceptional
18.7%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
12.2%
Children Under 5 years
Exceptional
13.2%
Exceptional
15.2%
Children Under 16 years
Exceptional
12.8%
Exceptional
13.5%
Boys Under 16 years
Exceptional
13.0%
Exceptional
14.0%
Girls Under 16 years
Exceptional
13.0%
Exceptional
13.9%
Single Males
Exceptional
11.7%
Fair
13.0%
Single Females
Exceptional
18.3%
Exceptional
19.2%
Single Fathers
Exceptional
15.5%
Tragic
17.3%
Single Mothers
Exceptional
26.2%
Exceptional
27.4%
Married Couples
Exceptional
4.3%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.1%
Seniors Over 75 years
Excellent
11.7%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
9.7%

Burmese vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Burmese and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 9.9%, a difference of 20.9%), unemployment among women with children under 6 years (6.5% compared to 7.8%, a difference of 19.6%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.4%, a difference of 18.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.50%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.64%), and unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.77%).
Burmese vs Lithuanian Unemployment
Unemployment MetricBurmeseLithuanian
Unemployment
Exceptional
4.9%
Exceptional
4.8%
Males
Exceptional
4.9%
Exceptional
5.0%
Females
Exceptional
5.0%
Exceptional
4.7%
Youth < 25
Excellent
11.3%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.7%
Age | 20 to 24 years
Excellent
10.2%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.2%
Good
6.5%
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
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Excellent
4.7%
Age | 60 to 64 years
Excellent
4.8%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Fair
5.4%
Seniors > 65
Exceptional
5.0%
Average
5.1%
Seniors > 75
Exceptional
8.2%
Tragic
9.9%
Women w/ Children < 6
Exceptional
6.5%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.0%

Burmese vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Burmese and Lithuanian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.4%, a difference of 17.2%), in labor force | age 20-24 (73.6% compared to 77.0%, a difference of 4.6%), and in labor force | age > 16 (66.2% compared to 64.8%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.6%, a difference of 0.010%), in labor force | age 20-64 (80.3% compared to 80.2%, a difference of 0.030%), and in labor force | age 30-34 (85.3% compared to 85.6%, a difference of 0.39%).
Burmese vs Lithuanian Labor Participation
Labor Participation MetricBurmeseLithuanian
In Labor Force | Age > 16
Exceptional
66.2%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
40.4%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.8%
In Labor Force | Age 30-34
Exceptional
85.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.6%

Burmese vs Lithuanian Family Structure

When considering family structure, the most significant differences between Burmese and Lithuanian communities in the United States are seen in births to unmarried women (26.4% compared to 29.6%, a difference of 12.1%), divorced or separated (10.7% compared to 11.7%, a difference of 9.5%), and family households with children (28.5% compared to 26.6%, a difference of 7.2%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 49.0%, a difference of 0.13%), married-couple households (49.8% compared to 48.9%, a difference of 1.9%), and family households (65.7% compared to 64.0%, a difference of 2.7%).
Burmese vs Lithuanian Family Structure
Family Structure MetricBurmeseLithuanian
Family Households
Exceptional
65.7%
Fair
64.0%
Family Households with Children
Exceptional
28.5%
Tragic
26.6%
Married-couple Households
Exceptional
49.8%
Exceptional
48.9%
Average Family Size
Fair
3.22
Tragic
3.10
Single Father Households
Exceptional
2.0%
Exceptional
2.1%
Single Mother Households
Exceptional
5.3%
Exceptional
5.4%
Currently Married
Exceptional
48.9%
Exceptional
49.0%
Divorced or Separated
Exceptional
10.7%
Exceptional
11.7%
Births to Unmarried Women
Exceptional
26.4%
Exceptional
29.6%

Burmese vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Lithuanian communities in the United States are seen in no vehicles in household (9.7% compared to 8.4%, a difference of 14.7%), 4 or more vehicles in household (6.8% compared to 6.3%, a difference of 7.9%), and 3 or more vehicles in household (20.6% compared to 20.1%, a difference of 2.6%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.2%, a difference of 0.76%), 1 or more vehicles in household (90.4% compared to 91.7%, a difference of 1.4%), and 3 or more vehicles in household (20.6% compared to 20.1%, a difference of 2.6%).
Burmese vs Lithuanian Vehicle Availability
Vehicle Availability MetricBurmeseLithuanian
No Vehicles Available
Excellent
9.7%
Exceptional
8.4%
1+ Vehicles Available
Excellent
90.4%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
20.6%
Excellent
20.1%
4+ Vehicles Available
Exceptional
6.8%
Average
6.3%

Burmese vs Lithuanian Education Level

When considering education level, the most significant differences between Burmese and Lithuanian communities in the United States are seen in no schooling completed (1.9% compared to 1.4%, a difference of 35.7%), doctorate degree (2.6% compared to 2.3%, a difference of 16.7%), and professional degree (6.1% compared to 5.4%, a difference of 14.2%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.6%, a difference of 0.55%), kindergarten (98.1% compared to 98.6%, a difference of 0.55%), and 1st grade (98.0% compared to 98.6%, a difference of 0.56%).
Burmese vs Lithuanian Education Level
Education Level MetricBurmeseLithuanian
No Schooling Completed
Excellent
1.9%
Exceptional
1.4%
Nursery School
Excellent
98.1%
Exceptional
98.6%
Kindergarten
Excellent
98.1%
Exceptional
98.6%
1st Grade
Excellent
98.0%
Exceptional
98.6%
2nd Grade
Excellent
98.0%
Exceptional
98.5%
3rd Grade
Good
97.9%
Exceptional
98.5%
4th Grade
Excellent
97.7%
Exceptional
98.3%
5th Grade
Excellent
97.5%
Exceptional
98.2%
6th Grade
Excellent
97.3%
Exceptional
98.1%
7th Grade
Excellent
96.3%
Exceptional
97.5%
8th Grade
Exceptional
96.1%
Exceptional
97.3%
9th Grade
Exceptional
95.4%
Exceptional
96.6%
10th Grade
Exceptional
94.5%
Exceptional
95.8%
11th Grade
Exceptional
93.6%
Exceptional
94.8%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
93.6%
High School Diploma
Exceptional
90.8%
Exceptional
92.0%
GED/Equivalency
Exceptional
88.3%
Exceptional
88.9%
College, Under 1 year
Exceptional
71.9%
Exceptional
68.8%
College, 1 year or more
Exceptional
66.7%
Exceptional
62.9%
Associate's Degree
Exceptional
54.6%
Exceptional
50.6%
Bachelor's Degree
Exceptional
46.9%
Exceptional
42.2%
Master's Degree
Exceptional
19.7%
Exceptional
17.7%
Professional Degree
Exceptional
6.1%
Exceptional
5.4%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.3%

Burmese vs Lithuanian Disability

When considering disability, the most significant differences between Burmese and Lithuanian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 39.1%), disability age 5 to 17 (4.8% compared to 5.8%, a difference of 21.0%), and hearing disability (2.8% compared to 3.4%, a difference of 19.7%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 45.1%, a difference of 1.9%), cognitive disability (16.7% compared to 16.3%, a difference of 2.5%), and disability age 65 to 74 (20.6% compared to 21.4%, a difference of 3.7%).
Burmese vs Lithuanian Disability
Disability MetricBurmeseLithuanian
Disability
Exceptional
10.4%
Poor
11.9%
Males
Exceptional
10.0%
Tragic
11.6%
Females
Exceptional
10.7%
Average
12.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.0%
Age | 35 to 64 years
Exceptional
9.2%
Excellent
10.8%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
21.4%
Age | Over 75 years
Exceptional
45.9%
Exceptional
45.1%
Vision
Exceptional
1.8%
Exceptional
2.0%
Hearing
Exceptional
2.8%
Tragic
3.4%
Cognitive
Exceptional
16.7%
Exceptional
16.3%
Ambulatory
Exceptional
5.3%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Exceptional
2.4%