Burmese vs Sudanese Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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
Sudanese
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

Sudanese

Exceptional
Average
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
4,867
SOCIAL INDEX
46.2/ 100
SOCIAL RATING
190th/ 347
SOCIAL RANK

Sudanese Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 107,779,700 people shows a slight negative correlation between the proportion of Sudanese within Burmese communities in the United States with a correlation coefficient (R) of -0.077. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.002% in Sudanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 2.1 Sudanese.
Burmese Integration in Sudanese Communities

Burmese vs Sudanese Income

When considering income, the most significant differences between Burmese and Sudanese communities in the United States are seen in householder income ages 25 - 44 years ($113,701 compared to $84,401, a difference of 34.7%), median household income ($103,145 compared to $78,529, a difference of 31.4%), and householder income ages 45 - 64 years ($121,444 compared to $93,718, a difference of 29.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $46,982, a difference of 16.6%), wage/income gap (28.0% compared to 24.0%, a difference of 16.9%), and median female earnings ($44,911 compared to $38,215, a difference of 17.5%).
Burmese vs Sudanese Income
Income MetricBurmeseSudanese
Per Capita Income
Exceptional
$52,005
Tragic
$41,695
Median Family Income
Exceptional
$123,369
Tragic
$96,783
Median Household Income
Exceptional
$103,145
Tragic
$78,529
Median Earnings
Exceptional
$54,559
Tragic
$44,419
Median Male Earnings
Exceptional
$65,236
Tragic
$51,216
Median Female Earnings
Exceptional
$44,911
Tragic
$38,215
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$46,982
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$84,401
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$93,718
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$58,281
Wage/Income Gap
Tragic
28.0%
Exceptional
24.0%

Burmese vs Sudanese Poverty

When considering poverty, the most significant differences between Burmese and Sudanese communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 19.3%, a difference of 46.2%), child poverty under the age of 16 (12.8% compared to 18.5%, a difference of 44.4%), and child poverty among boys under 16 (13.0% compared to 18.6%, a difference of 43.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 11.8%, a difference of 0.91%), single father poverty (15.5% compared to 15.9%, a difference of 2.6%), and seniors poverty over the age of 65 (10.1% compared to 10.7%, a difference of 6.7%).
Burmese vs Sudanese Poverty
Poverty MetricBurmeseSudanese
Poverty
Exceptional
10.7%
Tragic
14.0%
Families
Exceptional
7.3%
Tragic
10.0%
Males
Exceptional
9.7%
Tragic
12.8%
Females
Exceptional
11.6%
Tragic
15.2%
Females 18 to 24 years
Exceptional
18.9%
Tragic
23.0%
Females 25 to 34 years
Exceptional
11.2%
Tragic
14.4%
Children Under 5 years
Exceptional
13.2%
Tragic
19.3%
Children Under 16 years
Exceptional
12.8%
Tragic
18.5%
Boys Under 16 years
Exceptional
13.0%
Tragic
18.6%
Girls Under 16 years
Exceptional
13.0%
Tragic
18.6%
Single Males
Exceptional
11.7%
Poor
13.1%
Single Females
Exceptional
18.3%
Tragic
22.6%
Single Fathers
Exceptional
15.5%
Exceptional
15.9%
Single Mothers
Exceptional
26.2%
Tragic
30.0%
Married Couples
Exceptional
4.3%
Tragic
5.6%
Seniors Over 65 years
Exceptional
10.1%
Good
10.7%
Seniors Over 75 years
Excellent
11.7%
Excellent
11.8%
Receiving Food Stamps
Exceptional
8.6%
Fair
12.0%

Burmese vs Sudanese Unemployment

When considering unemployment, the most significant differences between Burmese and Sudanese 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 20.3%), unemployment among ages 25 to 29 years (6.2% compared to 5.4%, a difference of 15.0%), and unemployment among seniors over 65 years (5.0% compared to 4.4%, a difference of 13.7%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.5% compared to 4.6%, a difference of 1.1%), unemployment among seniors over 75 years (8.2% compared to 8.3%, a difference of 1.2%), and male unemployment (4.9% compared to 4.8%, a difference of 1.6%).
Burmese vs Sudanese Unemployment
Unemployment MetricBurmeseSudanese
Unemployment
Exceptional
4.9%
Exceptional
4.8%
Males
Exceptional
4.9%
Exceptional
4.8%
Females
Exceptional
5.0%
Exceptional
4.8%
Youth < 25
Excellent
11.3%
Exceptional
10.6%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
15.8%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
5.4%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
4.6%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.1%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.6%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.3%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.6%
Seniors > 65
Exceptional
5.0%
Exceptional
4.4%
Seniors > 75
Exceptional
8.2%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.5%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.3%

Burmese vs Sudanese Labor Participation

When considering labor participation, the most significant differences between Burmese and Sudanese communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 42.9%, a difference of 24.2%), in labor force | age 20-24 (73.6% compared to 78.4%, a difference of 6.6%), and in labor force | age > 16 (66.2% compared to 68.0%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.3% compared to 85.2%, a difference of 0.060%), in labor force | age 35-44 (84.7% compared to 85.0%, a difference of 0.36%), and in labor force | age 45-54 (83.6% compared to 83.0%, a difference of 0.70%).
Burmese vs Sudanese Labor Participation
Labor Participation MetricBurmeseSudanese
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
68.0%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.8%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
42.9%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
78.4%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.9%
In Labor Force | Age 30-34
Exceptional
85.3%
Exceptional
85.2%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.0%
In Labor Force | Age 45-54
Exceptional
83.6%
Excellent
83.0%

Burmese vs Sudanese Family Structure

When considering family structure, the most significant differences between Burmese and Sudanese communities in the United States are seen in single mother households (5.3% compared to 6.9%, a difference of 30.6%), births to unmarried women (26.4% compared to 32.4%, a difference of 22.9%), and single father households (2.0% compared to 2.4%, a difference of 19.0%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.20, a difference of 0.49%), family households with children (28.5% compared to 27.4%, a difference of 4.1%), and family households (65.7% compared to 60.0%, a difference of 9.6%).
Burmese vs Sudanese Family Structure
Family Structure MetricBurmeseSudanese
Family Households
Exceptional
65.7%
Tragic
60.0%
Family Households with Children
Exceptional
28.5%
Fair
27.4%
Married-couple Households
Exceptional
49.8%
Tragic
42.1%
Average Family Size
Fair
3.22
Poor
3.20
Single Father Households
Exceptional
2.0%
Poor
2.4%
Single Mother Households
Exceptional
5.3%
Tragic
6.9%
Currently Married
Exceptional
48.9%
Tragic
43.7%
Divorced or Separated
Exceptional
10.7%
Tragic
12.4%
Births to Unmarried Women
Exceptional
26.4%
Fair
32.4%

Burmese vs Sudanese Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Sudanese communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.6%, a difference of 21.3%), 3 or more vehicles in household (20.6% compared to 17.8%, a difference of 15.7%), and 2 or more vehicles in household (57.8% compared to 53.6%, a difference of 7.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.3%, a difference of 0.13%), no vehicles in household (9.7% compared to 9.8%, a difference of 1.7%), and 2 or more vehicles in household (57.8% compared to 53.6%, a difference of 7.8%).
Burmese vs Sudanese Vehicle Availability
Vehicle Availability MetricBurmeseSudanese
No Vehicles Available
Excellent
9.7%
Excellent
9.8%
1+ Vehicles Available
Excellent
90.4%
Excellent
90.3%
2+ Vehicles Available
Exceptional
57.8%
Tragic
53.6%
3+ Vehicles Available
Exceptional
20.6%
Tragic
17.8%
4+ Vehicles Available
Exceptional
6.8%
Tragic
5.6%

Burmese vs Sudanese Education Level

When considering education level, the most significant differences between Burmese and Sudanese communities in the United States are seen in professional degree (6.1% compared to 4.6%, a difference of 32.4%), master's degree (19.7% compared to 15.3%, a difference of 28.8%), and doctorate degree (2.6% compared to 2.1%, a difference of 26.0%). Conversely, both communities are more comparable in terms of 2nd grade (98.0% compared to 97.7%, a difference of 0.34%), nursery school (98.1% compared to 97.7%, a difference of 0.37%), and kindergarten (98.1% compared to 97.7%, a difference of 0.37%).
Burmese vs Sudanese Education Level
Education Level MetricBurmeseSudanese
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
97.7%
3rd Grade
Good
97.9%
Tragic
97.5%
4th Grade
Excellent
97.7%
Tragic
97.3%
5th Grade
Excellent
97.5%
Tragic
97.1%
6th Grade
Excellent
97.3%
Poor
96.8%
7th Grade
Excellent
96.3%
Fair
95.9%
8th Grade
Exceptional
96.1%
Fair
95.6%
9th Grade
Exceptional
95.4%
Fair
94.7%
10th Grade
Exceptional
94.5%
Fair
93.6%
11th Grade
Exceptional
93.6%
Average
92.5%
12th Grade, No Diploma
Exceptional
92.6%
Fair
91.0%
High School Diploma
Exceptional
90.8%
Average
89.1%
GED/Equivalency
Exceptional
88.3%
Fair
85.5%
College, Under 1 year
Exceptional
71.9%
Good
66.2%
College, 1 year or more
Exceptional
66.7%
Good
60.2%
Associate's Degree
Exceptional
54.6%
Good
47.1%
Bachelor's Degree
Exceptional
46.9%
Good
38.9%
Master's Degree
Exceptional
19.7%
Good
15.3%
Professional Degree
Exceptional
6.1%
Excellent
4.6%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.1%

Burmese vs Sudanese Disability

When considering disability, the most significant differences between Burmese and Sudanese communities in the United States are seen in disability age 35 to 64 (9.2% compared to 11.9%, a difference of 29.4%), disability age 5 to 17 (4.8% compared to 5.8%, a difference of 22.3%), and disability age 18 to 34 (6.0% compared to 6.9%, a difference of 15.0%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 1.1%), self-care disability (2.3% compared to 2.2%, a difference of 3.1%), and disability age over 75 (45.9% compared to 47.5%, a difference of 3.5%).
Burmese vs Sudanese Disability
Disability MetricBurmeseSudanese
Disability
Exceptional
10.4%
Good
11.5%
Males
Exceptional
10.0%
Good
11.0%
Females
Exceptional
10.7%
Good
12.0%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
6.9%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
11.9%
Age | 65 to 74 years
Exceptional
20.6%
Fair
23.7%
Age | Over 75 years
Exceptional
45.9%
Fair
47.5%
Vision
Exceptional
1.8%
Excellent
2.1%
Hearing
Exceptional
2.8%
Good
2.9%
Cognitive
Exceptional
16.7%
Tragic
18.9%
Ambulatory
Exceptional
5.3%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.2%