Burmese vs Lebanese 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)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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Lebanese

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

Lebanese Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 367,121,315 people shows a weak negative correlation between the proportion of Lebanese within Burmese communities in the United States with a correlation coefficient (R) of -0.276. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.004% in Lebanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 3.9 Lebanese.
Burmese Integration in Lebanese Communities

Burmese vs Lebanese Income

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

Burmese vs Lebanese Poverty

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

Burmese vs Lebanese Unemployment

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

Burmese vs Lebanese Labor Participation

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

Burmese vs Lebanese Family Structure

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

Burmese vs Lebanese Vehicle Availability

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

Burmese vs Lebanese Education Level

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

Burmese vs Lebanese Disability

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