Afghan vs Burmese Community Comparison

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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
Burmese
Race
Ancestry
AfricanAlaska 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 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

Afghans

Burmese

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

Burmese Integration in Afghan Communities

The statistical analysis conducted on geographies consisting of 146,697,771 people shows a mild negative correlation between the proportion of Burmese within Afghan communities in the United States with a correlation coefficient (R) of -0.371. On average, for every 1% (one percent) increase in Afghans within a typical geography, there is a decrease of 0.222% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Afghans corresponds to a decrease of 222.2 Burmese.
Afghan Integration in Burmese Communities

Afghan vs Burmese Income

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

Afghan vs Burmese Poverty

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

Afghan vs Burmese Unemployment

When considering unemployment, the most significant differences between Afghan and Burmese communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 8.2%, a difference of 10.4%), unemployment among ages 60 to 64 years (4.4% compared to 4.8%, a difference of 9.0%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, 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%).
Afghan vs Burmese Unemployment
Unemployment MetricAfghanBurmese
Unemployment
Average
5.3%
Exceptional
4.9%
Males
Good
5.3%
Exceptional
4.9%
Females
Fair
5.3%
Exceptional
5.0%
Youth < 25
Excellent
11.3%
Excellent
11.3%
Age | 16 to 19 years
Good
17.4%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.6%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.5%
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
4.7%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.4%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
5.0%
Seniors > 75
Tragic
9.0%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
7.0%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
7.6%
Exceptional
8.0%
Women w/ Children < 18
Good
5.4%
Exceptional
4.9%

Afghan vs Burmese Labor Participation

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

Afghan vs Burmese Family Structure

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

Afghan vs Burmese Vehicle Availability

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

Afghan vs Burmese Education Level

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

Afghan vs Burmese Disability

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