Burmese vs Afghan Community Comparison

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Burmese
Race
Ancestry
AfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Afghan
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

Afghans

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
7,658
SOCIAL INDEX
74.1/ 100
SOCIAL RATING
108th/ 347
SOCIAL RANK

Afghan Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 146,647,265 people shows a slight positive correlation between the proportion of Afghans within Burmese communities in the United States with a correlation coefficient (R) of 0.086. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.004% in Afghans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 4.0 Afghans.
Burmese Integration in Afghan Communities

Burmese vs Afghan Income

When considering income, the most significant differences between Burmese and Afghan communities in the United States are seen in per capita income ($52,005 compared to $46,268, a difference of 12.4%), wage/income gap (28.0% compared to 24.9%, a difference of 12.4%), and median male earnings ($65,236 compared to $59,554, a difference of 9.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($71,139 compared to $68,951, a difference of 3.2%), median female earnings ($44,911 compared to $43,077, a difference of 4.3%), and householder income under 25 years ($54,800 compared to $58,019, a difference of 5.9%).
Burmese vs Afghan Income
Income MetricBurmeseAfghan
Per Capita Income
Exceptional
$52,005
Exceptional
$46,268
Median Family Income
Exceptional
$123,369
Exceptional
$112,971
Median Household Income
Exceptional
$103,145
Exceptional
$97,026
Median Earnings
Exceptional
$54,559
Exceptional
$51,112
Median Male Earnings
Exceptional
$65,236
Exceptional
$59,554
Median Female Earnings
Exceptional
$44,911
Exceptional
$43,077
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$58,019
Householder Age | 25 - 44 years
Exceptional
$113,701
Exceptional
$104,410
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$112,676
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$68,951
Wage/Income Gap
Tragic
28.0%
Excellent
24.9%

Burmese vs Afghan Poverty

When considering poverty, the most significant differences between Burmese and Afghan communities in the United States are seen in married-couple family poverty (4.3% compared to 5.5%, a difference of 28.1%), child poverty under the age of 5 (13.2% compared to 16.8%, a difference of 26.7%), and child poverty under the age of 16 (12.8% compared to 16.2%, a difference of 26.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.9% compared to 19.0%, a difference of 0.32%), seniors poverty over the age of 65 (10.1% compared to 9.8%, a difference of 3.1%), and seniors poverty over the age of 75 (11.7% compared to 11.2%, a difference of 4.3%).
Burmese vs Afghan Poverty
Poverty MetricBurmeseAfghan
Poverty
Exceptional
10.7%
Good
12.0%
Families
Exceptional
7.3%
Good
8.8%
Males
Exceptional
9.7%
Good
10.9%
Females
Exceptional
11.6%
Good
13.0%
Females 18 to 24 years
Exceptional
18.9%
Exceptional
19.0%
Females 25 to 34 years
Exceptional
11.2%
Excellent
13.0%
Children Under 5 years
Exceptional
13.2%
Good
16.8%
Children Under 16 years
Exceptional
12.8%
Average
16.2%
Boys Under 16 years
Exceptional
13.0%
Average
16.3%
Girls Under 16 years
Exceptional
13.0%
Good
16.2%
Single Males
Exceptional
11.7%
Exceptional
10.7%
Single Females
Exceptional
18.3%
Exceptional
19.5%
Single Fathers
Exceptional
15.5%
Exceptional
14.0%
Single Mothers
Exceptional
26.2%
Exceptional
27.7%
Married Couples
Exceptional
4.3%
Poor
5.5%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.8%
Seniors Over 75 years
Excellent
11.7%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
10.7%

Burmese vs Afghan Unemployment

When considering unemployment, the most significant differences between Burmese and Afghan communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 9.0%, a difference of 10.4%), unemployment among ages 60 to 64 years (4.8% compared to 4.4%, a difference of 9.0%), and unemployment among women with children under 18 years (4.9% compared to 5.4%, a difference of 8.7%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.010%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.24%), and unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 1.1%).
Burmese vs Afghan Unemployment
Unemployment MetricBurmeseAfghan
Unemployment
Exceptional
4.9%
Average
5.3%
Males
Exceptional
4.9%
Good
5.3%
Females
Exceptional
5.0%
Fair
5.3%
Youth < 25
Excellent
11.3%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
17.0%
Good
17.4%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.6%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Average
5.5%
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
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.4%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
5.0%
Seniors > 75
Exceptional
8.2%
Tragic
9.0%
Women w/ Children < 6
Exceptional
6.5%
Exceptional
7.0%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.6%
Women w/ Children < 18
Exceptional
4.9%
Good
5.4%

Burmese vs Afghan Labor Participation

When considering labor participation, the most significant differences between Burmese and Afghan communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 36.1%, a difference of 4.6%), in labor force | age 20-24 (73.6% compared to 75.2%, a difference of 2.2%), and in labor force | age > 16 (66.2% compared to 67.1%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.3%, a difference of 0.020%), in labor force | age 35-44 (84.7% compared to 84.6%, a difference of 0.090%), and in labor force | age 45-54 (83.6% compared to 83.5%, a difference of 0.19%).
Burmese vs Afghan Labor Participation
Labor Participation MetricBurmeseAfghan
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
67.1%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
34.5%
Fair
36.1%
In Labor Force | Age 20-24
Tragic
73.6%
Good
75.2%
In Labor Force | Age 25-29
Exceptional
85.1%
Poor
84.4%
In Labor Force | Age 30-34
Exceptional
85.3%
Average
84.7%
In Labor Force | Age 35-44
Exceptional
84.7%
Excellent
84.6%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.5%

Burmese vs Afghan Family Structure

When considering family structure, the most significant differences between Burmese and Afghan communities in the United States are seen in single mother households (5.3% compared to 6.3%, a difference of 19.0%), single father households (2.0% compared to 2.3%, a difference of 15.0%), and divorced or separated (10.7% compared to 11.5%, a difference of 7.5%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 66.3%, a difference of 0.78%), average family size (3.22 compared to 3.31, a difference of 3.0%), and currently married (48.9% compared to 47.3%, a difference of 3.5%).
Burmese vs Afghan Family Structure
Family Structure MetricBurmeseAfghan
Family Households
Exceptional
65.7%
Exceptional
66.3%
Family Households with Children
Exceptional
28.5%
Exceptional
30.2%
Married-couple Households
Exceptional
49.8%
Exceptional
48.0%
Average Family Size
Fair
3.22
Exceptional
3.31
Single Father Households
Exceptional
2.0%
Average
2.3%
Single Mother Households
Exceptional
5.3%
Average
6.3%
Currently Married
Exceptional
48.9%
Excellent
47.3%
Divorced or Separated
Exceptional
10.7%
Exceptional
11.5%
Births to Unmarried Women
Exceptional
26.4%
Exceptional
27.9%

Burmese vs Afghan Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Afghan communities in the United States are seen in no vehicles in household (9.7% compared to 8.0%, a difference of 21.4%), 4 or more vehicles in household (6.8% compared to 7.3%, a difference of 6.3%), and 3 or more vehicles in household (20.6% compared to 21.7%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 92.1%, a difference of 1.9%), 2 or more vehicles in household (57.8% compared to 59.0%, a difference of 2.1%), and 3 or more vehicles in household (20.6% compared to 21.7%, a difference of 5.0%).
Burmese vs Afghan Vehicle Availability
Vehicle Availability MetricBurmeseAfghan
No Vehicles Available
Excellent
9.7%
Exceptional
8.0%
1+ Vehicles Available
Excellent
90.4%
Exceptional
92.1%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
59.0%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.7%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.3%

Burmese vs Afghan Education Level

When considering education level, the most significant differences between Burmese and Afghan communities in the United States are seen in doctorate degree (2.6% compared to 2.0%, a difference of 33.9%), no schooling completed (1.9% compared to 2.6%, a difference of 33.4%), and professional degree (6.1% compared to 4.7%, a difference of 29.6%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.4%, a difference of 0.69%), kindergarten (98.1% compared to 97.4%, a difference of 0.70%), and 1st grade (98.0% compared to 97.4%, a difference of 0.70%).
Burmese vs Afghan Education Level
Education Level MetricBurmeseAfghan
No Schooling Completed
Excellent
1.9%
Tragic
2.6%
Nursery School
Excellent
98.1%
Tragic
97.4%
Kindergarten
Excellent
98.1%
Tragic
97.4%
1st Grade
Excellent
98.0%
Tragic
97.4%
2nd Grade
Excellent
98.0%
Tragic
97.3%
3rd Grade
Good
97.9%
Tragic
97.1%
4th Grade
Excellent
97.7%
Tragic
96.9%
5th Grade
Excellent
97.5%
Tragic
96.7%
6th Grade
Excellent
97.3%
Tragic
96.4%
7th Grade
Excellent
96.3%
Tragic
95.3%
8th Grade
Exceptional
96.1%
Tragic
94.9%
9th Grade
Exceptional
95.4%
Tragic
94.2%
10th Grade
Exceptional
94.5%
Tragic
93.1%
11th Grade
Exceptional
93.6%
Poor
92.1%
12th Grade, No Diploma
Exceptional
92.6%
Fair
90.9%
High School Diploma
Exceptional
90.8%
Fair
88.8%
GED/Equivalency
Exceptional
88.3%
Average
85.9%
College, Under 1 year
Exceptional
71.9%
Exceptional
67.8%
College, 1 year or more
Exceptional
66.7%
Exceptional
62.0%
Associate's Degree
Exceptional
54.6%
Exceptional
48.9%
Bachelor's Degree
Exceptional
46.9%
Exceptional
40.8%
Master's Degree
Exceptional
19.7%
Exceptional
16.5%
Professional Degree
Exceptional
6.1%
Excellent
4.7%
Doctorate Degree
Exceptional
2.6%
Excellent
2.0%

Burmese vs Afghan Disability

When considering disability, the most significant differences between Burmese and Afghan communities in the United States are seen in disability age under 5 (1.1% compared to 0.94%, a difference of 18.9%), disability age 35 to 64 (9.2% compared to 10.3%, a difference of 11.3%), and disability age 65 to 74 (20.6% compared to 22.6%, a difference of 9.8%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.0% compared to 6.1%, a difference of 1.9%), hearing disability (2.8% compared to 2.7%, a difference of 2.4%), and male disability (10.0% compared to 10.2%, a difference of 2.7%).
Burmese vs Afghan Disability
Disability MetricBurmeseAfghan
Disability
Exceptional
10.4%
Exceptional
10.8%
Males
Exceptional
10.0%
Exceptional
10.2%
Females
Exceptional
10.7%
Exceptional
11.2%
Age | Under 5 years
Exceptional
1.1%
Exceptional
0.94%
Age | 5 to 17 years
Exceptional
4.8%
Exceptional
5.2%
Age | 18 to 34 years
Exceptional
6.0%
Exceptional
6.1%
Age | 35 to 64 years
Exceptional
9.2%
Exceptional
10.3%
Age | 65 to 74 years
Exceptional
20.6%
Excellent
22.6%
Age | Over 75 years
Exceptional
45.9%
Tragic
48.4%
Vision
Exceptional
1.8%
Exceptional
2.0%
Hearing
Exceptional
2.8%
Exceptional
2.7%
Cognitive
Exceptional
16.7%
Fair
17.3%
Ambulatory
Exceptional
5.3%
Exceptional
5.5%
Self-Care
Exceptional
2.3%
Excellent
2.4%