Lebanese vs Burmese Community Comparison

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Lebanese
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Lebanese

Burmese

Good
Exceptional
7,328
SOCIAL INDEX
70.8/ 100
SOCIAL RATING
122nd/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Lebanese Communities

The statistical analysis conducted on geographies consisting of 367,115,489 people shows a significant negative correlation between the proportion of Burmese within Lebanese communities in the United States with a correlation coefficient (R) of -0.647. On average, for every 1% (one percent) increase in Lebanese within a typical geography, there is a decrease of 0.031% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lebanese corresponds to a decrease of 30.9 Burmese.
Lebanese Integration in Burmese Communities

Lebanese vs Burmese Income

When considering income, the most significant differences between Lebanese and Burmese communities in the United States are seen in median household income ($88,091 compared to $103,145, a difference of 17.1%), householder income ages 25 - 44 years ($97,339 compared to $113,701, a difference of 16.8%), and householder income ages 45 - 64 years ($104,734 compared to $121,444, a difference of 16.0%). Conversely, both communities are more comparable in terms of wage/income gap (27.9% compared to 28.0%, a difference of 0.51%), householder income under 25 years ($50,355 compared to $54,800, a difference of 8.8%), and median female earnings ($40,006 compared to $44,911, a difference of 12.3%).
Lebanese vs Burmese Income
Income MetricLebaneseBurmese
Per Capita Income
Exceptional
$45,840
Exceptional
$52,005
Median Family Income
Exceptional
$107,086
Exceptional
$123,369
Median Household Income
Excellent
$88,091
Exceptional
$103,145
Median Earnings
Exceptional
$48,226
Exceptional
$54,559
Median Male Earnings
Exceptional
$57,409
Exceptional
$65,236
Median Female Earnings
Good
$40,006
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$50,355
Exceptional
$54,800
Householder Age | 25 - 44 years
Excellent
$97,339
Exceptional
$113,701
Householder Age | 45 - 64 years
Exceptional
$104,734
Exceptional
$121,444
Householder Age | Over 65 years
Good
$62,287
Exceptional
$71,139
Wage/Income Gap
Tragic
27.9%
Tragic
28.0%

Lebanese vs Burmese Poverty

When considering poverty, the most significant differences between Lebanese and Burmese communities in the United States are seen in child poverty under the age of 5 (17.4% compared to 13.2%, a difference of 31.6%), receiving food stamps (11.1% compared to 8.6%, a difference of 28.6%), and child poverty among boys under 16 (16.6% compared to 13.0%, a difference of 27.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.9% compared to 11.7%, a difference of 1.6%), seniors poverty over the age of 65 (10.3% compared to 10.1%, a difference of 2.6%), and female poverty among 18-24 year olds (20.2% compared to 18.9%, a difference of 6.8%).
Lebanese vs Burmese Poverty
Poverty MetricLebaneseBurmese
Poverty
Average
12.3%
Exceptional
10.7%
Families
Average
8.9%
Exceptional
7.3%
Males
Average
11.2%
Exceptional
9.7%
Females
Average
13.4%
Exceptional
11.6%
Females 18 to 24 years
Average
20.2%
Exceptional
18.9%
Females 25 to 34 years
Good
13.2%
Exceptional
11.2%
Children Under 5 years
Average
17.4%
Exceptional
13.2%
Children Under 16 years
Average
16.3%
Exceptional
12.8%
Boys Under 16 years
Average
16.6%
Exceptional
13.0%
Girls Under 16 years
Average
16.6%
Exceptional
13.0%
Single Males
Tragic
13.2%
Exceptional
11.7%
Single Females
Good
20.8%
Exceptional
18.3%
Single Fathers
Tragic
17.7%
Exceptional
15.5%
Single Mothers
Fair
29.4%
Exceptional
26.2%
Married Couples
Fair
5.4%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
10.3%
Exceptional
10.1%
Seniors Over 75 years
Good
11.9%
Excellent
11.7%
Receiving Food Stamps
Excellent
11.1%
Exceptional
8.6%

Lebanese vs Burmese Unemployment

When considering unemployment, the most significant differences between Lebanese and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.8% compared to 6.5%, a difference of 20.4%), unemployment among women with children ages 6 to 17 years (9.5% compared to 8.0%, a difference of 19.4%), and unemployment among seniors over 75 years (9.0% compared to 8.2%, a difference of 9.9%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.4% compared to 11.3%, a difference of 0.61%), unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 1.1%), and female unemployment (5.1% compared to 5.0%, a difference of 1.2%).
Lebanese vs Burmese Unemployment
Unemployment MetricLebaneseBurmese
Unemployment
Excellent
5.1%
Exceptional
4.9%
Males
Good
5.2%
Exceptional
4.9%
Females
Exceptional
5.1%
Exceptional
5.0%
Youth < 25
Excellent
11.4%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
16.4%
Exceptional
17.0%
Age | 20 to 24 years
Average
10.3%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
6.2%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.1%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.3%
Age | 45 to 54 years
Excellent
4.4%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
4.9%
Exceptional
5.2%
Seniors > 65
Exceptional
4.7%
Exceptional
5.0%
Seniors > 75
Poor
9.0%
Exceptional
8.2%
Women w/ Children < 6
Fair
7.8%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.5%
Exceptional
8.0%
Women w/ Children < 18
Good
5.4%
Exceptional
4.9%

Lebanese vs Burmese Labor Participation

When considering labor participation, the most significant differences between Lebanese and Burmese communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 34.5%, a difference of 11.8%), in labor force | age > 16 (64.5% compared to 66.2%, a difference of 2.6%), and in labor force | age 20-24 (75.3% compared to 73.6%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 85.1%, a difference of 0.97%), in labor force | age 30-34 (84.4% compared to 85.3%, a difference of 1.1%), and in labor force | age 35-44 (83.6% compared to 84.7%, a difference of 1.3%).
Lebanese vs Burmese Labor Participation
Labor Participation MetricLebaneseBurmese
In Labor Force | Age > 16
Tragic
64.5%
Exceptional
66.2%
In Labor Force | Age 20-64
Tragic
79.1%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.6%
Tragic
34.5%
In Labor Force | Age 20-24
Good
75.3%
Tragic
73.6%
In Labor Force | Age 25-29
Poor
84.3%
Exceptional
85.1%
In Labor Force | Age 30-34
Poor
84.4%
Exceptional
85.3%
In Labor Force | Age 35-44
Tragic
83.6%
Exceptional
84.7%
In Labor Force | Age 45-54
Poor
82.5%
Exceptional
83.6%

Lebanese vs Burmese Family Structure

When considering family structure, the most significant differences between Lebanese and Burmese communities in the United States are seen in births to unmarried women (29.5% compared to 26.4%, a difference of 12.1%), single mother households (5.9% compared to 5.3%, a difference of 11.2%), and divorced or separated (11.9% compared to 10.7%, a difference of 11.0%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.22, a difference of 0.69%), family households (64.4% compared to 65.7%, a difference of 2.0%), and currently married (47.9% compared to 48.9%, a difference of 2.2%).
Lebanese vs Burmese Family Structure
Family Structure MetricLebaneseBurmese
Family Households
Good
64.4%
Exceptional
65.7%
Family Households with Children
Excellent
27.7%
Exceptional
28.5%
Married-couple Households
Exceptional
47.9%
Exceptional
49.8%
Average Family Size
Tragic
3.19
Fair
3.22
Single Father Households
Exceptional
2.1%
Exceptional
2.0%
Single Mother Households
Exceptional
5.9%
Exceptional
5.3%
Currently Married
Exceptional
47.9%
Exceptional
48.9%
Divorced or Separated
Excellent
11.9%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
29.5%
Exceptional
26.4%

Lebanese vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Lebanese and Burmese communities in the United States are seen in no vehicles in household (8.7% compared to 9.7%, a difference of 11.8%), 4 or more vehicles in household (6.4% compared to 6.8%, a difference of 7.2%), and 3 or more vehicles in household (20.0% compared to 20.6%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.6% compared to 57.8%, a difference of 0.36%), 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), and 3 or more vehicles in household (20.0% compared to 20.6%, a difference of 3.2%).
Lebanese vs Burmese Vehicle Availability
Vehicle Availability MetricLebaneseBurmese
No Vehicles Available
Exceptional
8.7%
Excellent
9.7%
1+ Vehicles Available
Exceptional
91.4%
Excellent
90.4%
2+ Vehicles Available
Exceptional
57.6%
Exceptional
57.8%
3+ Vehicles Available
Good
20.0%
Exceptional
20.6%
4+ Vehicles Available
Average
6.4%
Exceptional
6.8%

Lebanese vs Burmese Education Level

When considering education level, the most significant differences between Lebanese and Burmese communities in the United States are seen in doctorate degree (2.1% compared to 2.6%, a difference of 28.4%), professional degree (5.0% compared to 6.1%, a difference of 22.2%), and master's degree (16.5% compared to 19.7%, a difference of 19.4%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 98.1%, a difference of 0.090%), kindergarten (98.2% compared to 98.1%, a difference of 0.090%), and 1st grade (98.1% compared to 98.0%, a difference of 0.10%).
Lebanese vs Burmese Education Level
Education Level MetricLebaneseBurmese
No Schooling Completed
Exceptional
1.9%
Excellent
1.9%
Nursery School
Exceptional
98.2%
Excellent
98.1%
Kindergarten
Exceptional
98.2%
Excellent
98.1%
1st Grade
Exceptional
98.1%
Excellent
98.0%
2nd Grade
Exceptional
98.1%
Excellent
98.0%
3rd Grade
Exceptional
98.0%
Good
97.9%
4th Grade
Exceptional
97.8%
Excellent
97.7%
5th Grade
Exceptional
97.6%
Excellent
97.5%
6th Grade
Exceptional
97.4%
Excellent
97.3%
7th Grade
Exceptional
96.7%
Excellent
96.3%
8th Grade
Exceptional
96.3%
Exceptional
96.1%
9th Grade
Exceptional
95.6%
Exceptional
95.4%
10th Grade
Exceptional
94.6%
Exceptional
94.5%
11th Grade
Exceptional
93.5%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
92.2%
Exceptional
92.6%
High School Diploma
Exceptional
90.4%
Exceptional
90.8%
GED/Equivalency
Exceptional
87.2%
Exceptional
88.3%
College, Under 1 year
Exceptional
67.5%
Exceptional
71.9%
College, 1 year or more
Exceptional
61.6%
Exceptional
66.7%
Associate's Degree
Exceptional
48.8%
Exceptional
54.6%
Bachelor's Degree
Exceptional
40.4%
Exceptional
46.9%
Master's Degree
Exceptional
16.5%
Exceptional
19.7%
Professional Degree
Exceptional
5.0%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.1%
Exceptional
2.6%

Lebanese vs Burmese Disability

When considering disability, the most significant differences between Lebanese and Burmese communities in the United States are seen in disability age 35 to 64 (11.3% compared to 9.2%, a difference of 22.2%), disability age under 5 (1.3% compared to 1.1%, a difference of 17.7%), and vision disability (2.2% compared to 1.8%, a difference of 16.8%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.7%, a difference of 1.9%), disability age over 75 (46.8% compared to 45.9%, a difference of 2.0%), and self-care disability (2.4% compared to 2.3%, a difference of 8.3%).
Lebanese vs Burmese Disability
Disability MetricLebaneseBurmese
Disability
Fair
11.8%
Exceptional
10.4%
Males
Poor
11.5%
Exceptional
10.0%
Females
Average
12.2%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Good
5.6%
Exceptional
4.8%
Age | 18 to 34 years
Poor
6.8%
Exceptional
6.0%
Age | 35 to 64 years
Average
11.3%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
22.5%
Exceptional
20.6%
Age | Over 75 years
Excellent
46.8%
Exceptional
45.9%
Vision
Average
2.2%
Exceptional
1.8%
Hearing
Tragic
3.2%
Exceptional
2.8%
Cognitive
Exceptional
17.0%
Exceptional
16.7%
Ambulatory
Good
6.1%
Exceptional
5.3%
Self-Care
Good
2.4%
Exceptional
2.3%