Burmese vs Subsaharan African 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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-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
Subsaharan African
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

Sub-Saharan Africans

Exceptional
Tragic
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
977
SOCIAL INDEX
7.3/ 100
SOCIAL RATING
330th/ 347
SOCIAL RANK

Subsaharan African Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 439,105,114 people shows a weak negative correlation between the proportion of Sub-Saharan Africans within Burmese communities in the United States with a correlation coefficient (R) of -0.248. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.016% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 15.7 Sub-Saharan Africans.
Burmese Integration in Subsaharan African Communities

Burmese vs Subsaharan African Income

When considering income, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($113,701 compared to $84,235, a difference of 35.0%), householder income ages 45 - 64 years ($121,444 compared to $90,691, a difference of 33.9%), and median household income ($103,145 compared to $77,631, a difference of 32.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $48,691, a difference of 12.6%), median female earnings ($44,911 compared to $38,391, a difference of 17.0%), and wage/income gap (28.0% compared to 22.8%, a difference of 22.8%).
Burmese vs Subsaharan African Income
Income MetricBurmeseSubsaharan African
Per Capita Income
Exceptional
$52,005
Tragic
$40,152
Median Family Income
Exceptional
$123,369
Tragic
$93,748
Median Household Income
Exceptional
$103,145
Tragic
$77,631
Median Earnings
Exceptional
$54,559
Tragic
$44,118
Median Male Earnings
Exceptional
$65,236
Tragic
$50,408
Median Female Earnings
Exceptional
$44,911
Tragic
$38,391
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$48,691
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$84,235
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$90,691
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$56,615
Wage/Income Gap
Tragic
28.0%
Exceptional
22.8%

Burmese vs Subsaharan African Poverty

When considering poverty, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in receiving food stamps (8.6% compared to 14.1%, a difference of 62.9%), child poverty under the age of 5 (13.2% compared to 20.8%, a difference of 56.9%), and child poverty under the age of 16 (12.8% compared to 19.9%, a difference of 55.4%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 16.9%, a difference of 9.5%), seniors poverty over the age of 75 (11.7% compared to 13.2%, a difference of 13.2%), and female poverty among 18-24 year olds (18.9% compared to 22.0%, a difference of 16.4%).
Burmese vs Subsaharan African Poverty
Poverty MetricBurmeseSubsaharan African
Poverty
Exceptional
10.7%
Tragic
14.5%
Families
Exceptional
7.3%
Tragic
10.9%
Males
Exceptional
9.7%
Tragic
13.3%
Females
Exceptional
11.6%
Tragic
15.8%
Females 18 to 24 years
Exceptional
18.9%
Tragic
22.0%
Females 25 to 34 years
Exceptional
11.2%
Tragic
15.6%
Children Under 5 years
Exceptional
13.2%
Tragic
20.8%
Children Under 16 years
Exceptional
12.8%
Tragic
19.9%
Boys Under 16 years
Exceptional
13.0%
Tragic
20.0%
Girls Under 16 years
Exceptional
13.0%
Tragic
20.1%
Single Males
Exceptional
11.7%
Tragic
13.7%
Single Females
Exceptional
18.3%
Tragic
23.2%
Single Fathers
Exceptional
15.5%
Tragic
16.9%
Single Mothers
Exceptional
26.2%
Tragic
31.4%
Married Couples
Exceptional
4.3%
Tragic
5.7%
Seniors Over 65 years
Exceptional
10.1%
Tragic
12.1%
Seniors Over 75 years
Excellent
11.7%
Tragic
13.2%
Receiving Food Stamps
Exceptional
8.6%
Tragic
14.1%

Burmese vs Subsaharan African Unemployment

When considering unemployment, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 8.4%, a difference of 30.1%), unemployment among women with children ages 6 to 17 years (8.0% compared to 10.0%, a difference of 25.7%), and unemployment among women with children under 18 years (4.9% compared to 6.2%, a difference of 24.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 1.8%), unemployment among seniors over 65 years (5.0% compared to 5.2%, a difference of 4.1%), and unemployment among ages 65 to 74 years (5.2% compared to 5.4%, a difference of 4.3%).
Burmese vs Subsaharan African Unemployment
Unemployment MetricBurmeseSubsaharan African
Unemployment
Exceptional
4.9%
Tragic
5.8%
Males
Exceptional
4.9%
Tragic
6.0%
Females
Exceptional
5.0%
Tragic
5.7%
Youth < 25
Excellent
11.3%
Tragic
12.6%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
18.7%
Age | 20 to 24 years
Excellent
10.2%
Tragic
11.1%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
7.2%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.3%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
4.9%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.0%
Age | 60 to 64 years
Excellent
4.8%
Fair
4.9%
Age | 65 to 74 years
Exceptional
5.2%
Poor
5.4%
Seniors > 65
Exceptional
5.0%
Poor
5.2%
Seniors > 75
Exceptional
8.2%
Tragic
9.2%
Women w/ Children < 6
Exceptional
6.5%
Tragic
8.4%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
10.0%
Women w/ Children < 18
Exceptional
4.9%
Tragic
6.2%

Burmese vs Subsaharan African Labor Participation

When considering labor participation, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 38.4%, a difference of 11.5%), in labor force | age 20-24 (73.6% compared to 75.7%, a difference of 2.9%), and in labor force | age 45-54 (83.6% compared to 82.0%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.2%, a difference of 0.030%), in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.76%), and in labor force | age 30-34 (85.3% compared to 84.5%, a difference of 0.93%).
Burmese vs Subsaharan African Labor Participation
Labor Participation MetricBurmeseSubsaharan African
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
38.4%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
75.7%
In Labor Force | Age 25-29
Exceptional
85.1%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.3%
Poor
84.5%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
84.1%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
82.0%

Burmese vs Subsaharan African Family Structure

When considering family structure, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in single mother households (5.3% compared to 7.8%, a difference of 47.6%), births to unmarried women (26.4% compared to 36.7%, a difference of 39.0%), and single father households (2.0% compared to 2.4%, a difference of 20.1%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.25, a difference of 1.1%), family households with children (28.5% compared to 27.6%, a difference of 3.4%), and family households (65.7% compared to 62.1%, a difference of 6.0%).
Burmese vs Subsaharan African Family Structure
Family Structure MetricBurmeseSubsaharan African
Family Households
Exceptional
65.7%
Tragic
62.1%
Family Households with Children
Exceptional
28.5%
Good
27.6%
Married-couple Households
Exceptional
49.8%
Tragic
41.6%
Average Family Size
Fair
3.22
Excellent
3.25
Single Father Households
Exceptional
2.0%
Tragic
2.4%
Single Mother Households
Exceptional
5.3%
Tragic
7.8%
Currently Married
Exceptional
48.9%
Tragic
42.6%
Divorced or Separated
Exceptional
10.7%
Tragic
12.7%
Births to Unmarried Women
Exceptional
26.4%
Tragic
36.7%

Burmese vs Subsaharan African Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in no vehicles in household (9.7% compared to 12.2%, a difference of 26.2%), 4 or more vehicles in household (6.8% compared to 5.7%, a difference of 19.5%), and 3 or more vehicles in household (20.6% compared to 17.9%, a difference of 15.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.9%, a difference of 2.9%), 2 or more vehicles in household (57.8% compared to 51.9%, a difference of 11.4%), and 3 or more vehicles in household (20.6% compared to 17.9%, a difference of 15.6%).
Burmese vs Subsaharan African Vehicle Availability
Vehicle Availability MetricBurmeseSubsaharan African
No Vehicles Available
Excellent
9.7%
Tragic
12.2%
1+ Vehicles Available
Excellent
90.4%
Tragic
87.9%
2+ Vehicles Available
Exceptional
57.8%
Tragic
51.9%
3+ Vehicles Available
Exceptional
20.6%
Tragic
17.9%
4+ Vehicles Available
Exceptional
6.8%
Tragic
5.7%

Burmese vs Subsaharan African Education Level

When considering education level, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in professional degree (6.1% compared to 4.1%, a difference of 49.9%), doctorate degree (2.6% compared to 1.8%, a difference of 49.3%), and master's degree (19.7% compared to 14.2%, a difference of 38.3%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.7%, a difference of 0.37%), kindergarten (98.1% compared to 97.7%, a difference of 0.37%), and 1st grade (98.0% compared to 97.7%, a difference of 0.37%).
Burmese vs Subsaharan African Education Level
Education Level MetricBurmeseSubsaharan African
No Schooling Completed
Excellent
1.9%
Tragic
2.3%
Nursery School
Excellent
98.1%
Tragic
97.7%
Kindergarten
Excellent
98.1%
Tragic
97.7%
1st Grade
Excellent
98.0%
Tragic
97.7%
2nd Grade
Excellent
98.0%
Tragic
97.6%
3rd Grade
Good
97.9%
Tragic
97.5%
4th Grade
Excellent
97.7%
Tragic
97.2%
5th Grade
Excellent
97.5%
Tragic
97.0%
6th Grade
Excellent
97.3%
Tragic
96.7%
7th Grade
Excellent
96.3%
Tragic
95.7%
8th Grade
Exceptional
96.1%
Tragic
95.3%
9th Grade
Exceptional
95.4%
Tragic
94.4%
10th Grade
Exceptional
94.5%
Tragic
93.1%
11th Grade
Exceptional
93.6%
Tragic
91.7%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
90.1%
High School Diploma
Exceptional
90.8%
Tragic
87.9%
GED/Equivalency
Exceptional
88.3%
Tragic
84.2%
College, Under 1 year
Exceptional
71.9%
Tragic
63.2%
College, 1 year or more
Exceptional
66.7%
Tragic
57.3%
Associate's Degree
Exceptional
54.6%
Tragic
43.9%
Bachelor's Degree
Exceptional
46.9%
Tragic
35.8%
Master's Degree
Exceptional
19.7%
Poor
14.2%
Professional Degree
Exceptional
6.1%
Poor
4.1%
Doctorate Degree
Exceptional
2.6%
Fair
1.8%

Burmese vs Subsaharan African Disability

When considering disability, the most significant differences between Burmese and Subsaharan African communities in the United States are seen in disability age 35 to 64 (9.2% compared to 12.6%, a difference of 37.2%), disability age 5 to 17 (4.8% compared to 6.2%, a difference of 28.9%), and vision disability (1.8% compared to 2.3%, a difference of 26.9%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.9%, a difference of 3.0%), disability age over 75 (45.9% compared to 48.2%, a difference of 5.0%), and cognitive disability (16.7% compared to 18.5%, a difference of 11.2%).
Burmese vs Subsaharan African Disability
Disability MetricBurmeseSubsaharan African
Disability
Exceptional
10.4%
Tragic
12.3%
Males
Exceptional
10.0%
Tragic
11.8%
Females
Exceptional
10.7%
Tragic
12.7%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.3%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.2%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
12.6%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
25.1%
Age | Over 75 years
Exceptional
45.9%
Tragic
48.2%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Excellent
2.9%
Cognitive
Exceptional
16.7%
Tragic
18.5%
Ambulatory
Exceptional
5.3%
Tragic
6.4%
Self-Care
Exceptional
2.3%
Tragic
2.6%