Ugandan vs Burmese Community Comparison

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Ugandan
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
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 LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest 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

Ugandans

Burmese

Average
Exceptional
6,220
SOCIAL INDEX
59.7/ 100
SOCIAL RATING
159th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Ugandan Communities

The statistical analysis conducted on geographies consisting of 92,018,649 people shows a moderate positive correlation between the proportion of Burmese within Ugandan communities in the United States with a correlation coefficient (R) of 0.455. On average, for every 1% (one percent) increase in Ugandans within a typical geography, there is an increase of 0.104% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Ugandans corresponds to an increase of 104.1 Burmese.
Ugandan Integration in Burmese Communities

Ugandan vs Burmese Income

When considering income, the most significant differences between Ugandan and Burmese communities in the United States are seen in median male earnings ($55,290 compared to $65,236, a difference of 18.0%), median household income ($87,557 compared to $103,145, a difference of 17.8%), and householder income ages 25 - 44 years ($96,667 compared to $113,701, a difference of 17.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,923 compared to $54,800, a difference of 7.6%), median female earnings ($40,889 compared to $44,911, a difference of 9.8%), and median earnings ($47,854 compared to $54,559, a difference of 14.0%).
Ugandan vs Burmese Income
Income MetricUgandanBurmese
Per Capita Income
Excellent
$45,047
Exceptional
$52,005
Median Family Income
Excellent
$106,541
Exceptional
$123,369
Median Household Income
Excellent
$87,557
Exceptional
$103,145
Median Earnings
Excellent
$47,854
Exceptional
$54,559
Median Male Earnings
Good
$55,290
Exceptional
$65,236
Median Female Earnings
Exceptional
$40,889
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$50,923
Exceptional
$54,800
Householder Age | 25 - 44 years
Good
$96,667
Exceptional
$113,701
Householder Age | 45 - 64 years
Excellent
$103,472
Exceptional
$121,444
Householder Age | Over 65 years
Average
$61,177
Exceptional
$71,139
Wage/Income Gap
Exceptional
24.1%
Tragic
28.0%

Ugandan vs Burmese Poverty

When considering poverty, the most significant differences between Ugandan and Burmese communities in the United States are seen in receiving food stamps (12.2% compared to 8.6%, a difference of 41.6%), child poverty under the age of 5 (18.0% compared to 13.2%, a difference of 36.4%), and child poverty among boys under 16 (17.3% compared to 13.0%, a difference of 33.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.9% compared to 11.7%, a difference of 1.8%), single male poverty (12.3% compared to 11.7%, a difference of 5.1%), and single father poverty (16.3% compared to 15.5%, a difference of 5.1%).
Ugandan vs Burmese Poverty
Poverty MetricUgandanBurmese
Poverty
Tragic
13.1%
Exceptional
10.7%
Families
Fair
9.3%
Exceptional
7.3%
Males
Tragic
12.2%
Exceptional
9.7%
Females
Poor
14.0%
Exceptional
11.6%
Females 18 to 24 years
Tragic
22.1%
Exceptional
18.9%
Females 25 to 34 years
Good
13.4%
Exceptional
11.2%
Children Under 5 years
Poor
18.0%
Exceptional
13.2%
Children Under 16 years
Poor
17.1%
Exceptional
12.8%
Boys Under 16 years
Poor
17.3%
Exceptional
13.0%
Girls Under 16 years
Poor
17.2%
Exceptional
13.0%
Single Males
Exceptional
12.3%
Exceptional
11.7%
Single Females
Good
20.8%
Exceptional
18.3%
Single Fathers
Average
16.3%
Exceptional
15.5%
Single Mothers
Good
28.8%
Exceptional
26.2%
Married Couples
Fair
5.3%
Exceptional
4.3%
Seniors Over 65 years
Poor
11.4%
Exceptional
10.1%
Seniors Over 75 years
Good
11.9%
Excellent
11.7%
Receiving Food Stamps
Fair
12.2%
Exceptional
8.6%

Ugandan vs Burmese Unemployment

When considering unemployment, the most significant differences between Ugandan and Burmese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (12.0% compared to 8.0%, a difference of 51.1%), unemployment among women with children under 18 years (5.9% compared to 4.9%, a difference of 18.9%), and unemployment among women with children under 6 years (7.6% compared to 6.5%, a difference of 16.7%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 17.0%, a difference of 0.87%), unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 1.2%), and unemployment among ages 20 to 24 years (10.4% compared to 10.2%, a difference of 2.4%).
Ugandan vs Burmese Unemployment
Unemployment MetricUgandanBurmese
Unemployment
Poor
5.4%
Exceptional
4.9%
Males
Tragic
5.5%
Exceptional
4.9%
Females
Fair
5.3%
Exceptional
5.0%
Youth < 25
Average
11.6%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
17.0%
Age | 20 to 24 years
Fair
10.4%
Excellent
10.2%
Age | 25 to 29 years
Poor
6.8%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
4.9%
Exceptional
5.1%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.9%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.5%
Age | 60 to 64 years
Poor
4.9%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.1%
Exceptional
5.2%
Seniors > 65
Exceptional
4.8%
Exceptional
5.0%
Seniors > 75
Exceptional
7.7%
Exceptional
8.2%
Women w/ Children < 6
Good
7.6%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
12.0%
Exceptional
8.0%
Women w/ Children < 18
Tragic
5.9%
Exceptional
4.9%

Ugandan vs Burmese Labor Participation

When considering labor participation, the most significant differences between Ugandan and Burmese communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 34.5%, a difference of 12.7%), in labor force | age 20-24 (75.4% compared to 73.6%, a difference of 2.4%), and in labor force | age > 16 (67.4% compared to 66.2%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.7% compared to 83.6%, a difference of 0.12%), in labor force | age 20-64 (80.6% compared to 80.3%, a difference of 0.36%), and in labor force | age 30-34 (85.8% compared to 85.3%, a difference of 0.59%).
Ugandan vs Burmese Labor Participation
Labor Participation MetricUgandanBurmese
In Labor Force | Age > 16
Exceptional
67.4%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.6%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.9%
Tragic
34.5%
In Labor Force | Age 20-24
Good
75.4%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
85.9%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.8%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
85.3%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.7%
Exceptional
83.6%

Ugandan vs Burmese Family Structure

When considering family structure, the most significant differences between Ugandan and Burmese communities in the United States are seen in single mother households (6.5% compared to 5.3%, a difference of 22.8%), births to unmarried women (30.1% compared to 26.4%, a difference of 14.1%), and single father households (2.3% compared to 2.0%, a difference of 13.9%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.22, a difference of 0.52%), family households with children (27.4% compared to 28.5%, a difference of 3.8%), and family households (61.7% compared to 65.7%, a difference of 6.6%).
Ugandan vs Burmese Family Structure
Family Structure MetricUgandanBurmese
Family Households
Tragic
61.7%
Exceptional
65.7%
Family Households with Children
Average
27.4%
Exceptional
28.5%
Married-couple Households
Tragic
43.8%
Exceptional
49.8%
Average Family Size
Average
3.23
Fair
3.22
Single Father Households
Good
2.3%
Exceptional
2.0%
Single Mother Households
Fair
6.5%
Exceptional
5.3%
Currently Married
Tragic
44.2%
Exceptional
48.9%
Divorced or Separated
Exceptional
11.8%
Exceptional
10.7%
Births to Unmarried Women
Excellent
30.1%
Exceptional
26.4%

Ugandan vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Ugandan and Burmese communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 6.8%, a difference of 19.3%), no vehicles in household (11.4% compared to 9.7%, a difference of 18.0%), and 3 or more vehicles in household (17.8% compared to 20.6%, a difference of 16.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.9% compared to 90.4%, a difference of 1.8%), 2 or more vehicles in household (53.5% compared to 57.8%, a difference of 8.1%), and 3 or more vehicles in household (17.8% compared to 20.6%, a difference of 16.1%).
Ugandan vs Burmese Vehicle Availability
Vehicle Availability MetricUgandanBurmese
No Vehicles Available
Tragic
11.4%
Excellent
9.7%
1+ Vehicles Available
Tragic
88.9%
Excellent
90.4%
2+ Vehicles Available
Tragic
53.5%
Exceptional
57.8%
3+ Vehicles Available
Tragic
17.8%
Exceptional
20.6%
4+ Vehicles Available
Tragic
5.7%
Exceptional
6.8%

Ugandan vs Burmese Education Level

When considering education level, the most significant differences between Ugandan and Burmese communities in the United States are seen in professional degree (5.1% compared to 6.1%, a difference of 20.1%), doctorate degree (2.2% compared to 2.6%, a difference of 18.4%), and master's degree (17.1% compared to 19.7%, a difference of 15.0%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.1%, a difference of 0.090%), kindergarten (98.0% compared to 98.1%, a difference of 0.090%), and 1st grade (97.9% compared to 98.0%, a difference of 0.090%).
Ugandan vs Burmese Education Level
Education Level MetricUgandanBurmese
No Schooling Completed
Good
2.0%
Excellent
1.9%
Nursery School
Average
98.0%
Excellent
98.1%
Kindergarten
Average
98.0%
Excellent
98.1%
1st Grade
Average
97.9%
Excellent
98.0%
2nd Grade
Average
97.9%
Excellent
98.0%
3rd Grade
Average
97.8%
Good
97.9%
4th Grade
Average
97.6%
Excellent
97.7%
5th Grade
Average
97.4%
Excellent
97.5%
6th Grade
Good
97.1%
Excellent
97.3%
7th Grade
Good
96.2%
Excellent
96.3%
8th Grade
Good
95.9%
Exceptional
96.1%
9th Grade
Good
95.1%
Exceptional
95.4%
10th Grade
Excellent
94.0%
Exceptional
94.5%
11th Grade
Excellent
92.9%
Exceptional
93.6%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.6%
High School Diploma
Excellent
89.7%
Exceptional
90.8%
GED/Equivalency
Good
86.1%
Exceptional
88.3%
College, Under 1 year
Excellent
66.8%
Exceptional
71.9%
College, 1 year or more
Exceptional
61.2%
Exceptional
66.7%
Associate's Degree
Exceptional
48.7%
Exceptional
54.6%
Bachelor's Degree
Exceptional
40.8%
Exceptional
46.9%
Master's Degree
Exceptional
17.1%
Exceptional
19.7%
Professional Degree
Exceptional
5.1%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.2%
Exceptional
2.6%

Ugandan vs Burmese Disability

When considering disability, the most significant differences between Ugandan and Burmese communities in the United States are seen in disability age 5 to 17 (6.2% compared to 4.8%, a difference of 28.8%), disability age 35 to 64 (11.3% compared to 9.2%, a difference of 23.0%), and disability age 18 to 34 (6.9% compared to 6.0%, a difference of 16.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 45.9%, a difference of 0.81%), disability age under 5 (1.1% compared to 1.1%, a difference of 1.3%), and hearing disability (2.9% compared to 2.8%, a difference of 2.5%).
Ugandan vs Burmese Disability
Disability MetricUgandanBurmese
Disability
Excellent
11.4%
Exceptional
10.4%
Males
Excellent
11.0%
Exceptional
10.0%
Females
Exceptional
11.9%
Exceptional
10.7%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.2%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
6.9%
Exceptional
6.0%
Age | 35 to 64 years
Average
11.3%
Exceptional
9.2%
Age | 65 to 74 years
Excellent
22.7%
Exceptional
20.6%
Age | Over 75 years
Exceptional
46.3%
Exceptional
45.9%
Vision
Exceptional
2.1%
Exceptional
1.8%
Hearing
Excellent
2.9%
Exceptional
2.8%
Cognitive
Tragic
18.3%
Exceptional
16.7%
Ambulatory
Exceptional
5.7%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%