Guyanese vs Burmese Community Comparison

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Guyanese
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/ChamorroGuatemalanHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (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

Guyanese

Burmese

Poor
Exceptional
2,059
SOCIAL INDEX
18.1/ 100
SOCIAL RATING
273rd/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Guyanese Communities

The statistical analysis conducted on geographies consisting of 169,063,682 people shows a weak negative correlation between the proportion of Burmese within Guyanese communities in the United States with a correlation coefficient (R) of -0.218. On average, for every 1% (one percent) increase in Guyanese within a typical geography, there is a decrease of 0.026% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Guyanese corresponds to a decrease of 25.8 Burmese.
Guyanese Integration in Burmese Communities

Guyanese vs Burmese Income

When considering income, the most significant differences between Guyanese and Burmese communities in the United States are seen in wage/income gap (18.3% compared to 28.0%, a difference of 53.0%), householder income ages 45 - 64 years ($90,966 compared to $121,444, a difference of 33.5%), and median family income ($93,373 compared to $123,369, a difference of 32.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,210 compared to $54,800, a difference of 0.75%), median female earnings ($40,973 compared to $44,911, a difference of 9.6%), and median earnings ($45,470 compared to $54,559, a difference of 20.0%).
Guyanese vs Burmese Income
Income MetricGuyaneseBurmese
Per Capita Income
Tragic
$40,949
Exceptional
$52,005
Median Family Income
Tragic
$93,373
Exceptional
$123,369
Median Household Income
Tragic
$80,734
Exceptional
$103,145
Median Earnings
Fair
$45,470
Exceptional
$54,559
Median Male Earnings
Tragic
$50,613
Exceptional
$65,236
Median Female Earnings
Exceptional
$40,973
Exceptional
$44,911
Householder Age | Under 25 years
Exceptional
$55,210
Exceptional
$54,800
Householder Age | 25 - 44 years
Tragic
$89,940
Exceptional
$113,701
Householder Age | 45 - 64 years
Tragic
$90,966
Exceptional
$121,444
Householder Age | Over 65 years
Tragic
$56,351
Exceptional
$71,139
Wage/Income Gap
Exceptional
18.3%
Tragic
28.0%

Guyanese vs Burmese Poverty

When considering poverty, the most significant differences between Guyanese and Burmese communities in the United States are seen in receiving food stamps (16.7% compared to 8.6%, a difference of 93.2%), family poverty (11.2% compared to 7.3%, a difference of 53.5%), and child poverty under the age of 16 (19.3% compared to 12.8%, a difference of 51.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.4% compared to 18.9%, a difference of 2.4%), single father poverty (16.3% compared to 15.5%, a difference of 5.1%), and single male poverty (12.8% compared to 11.7%, a difference of 9.0%).
Guyanese vs Burmese Poverty
Poverty MetricGuyaneseBurmese
Poverty
Tragic
14.5%
Exceptional
10.7%
Families
Tragic
11.2%
Exceptional
7.3%
Males
Tragic
13.3%
Exceptional
9.7%
Females
Tragic
15.6%
Exceptional
11.6%
Females 18 to 24 years
Exceptional
19.4%
Exceptional
18.9%
Females 25 to 34 years
Tragic
14.2%
Exceptional
11.2%
Children Under 5 years
Tragic
19.7%
Exceptional
13.2%
Children Under 16 years
Tragic
19.3%
Exceptional
12.8%
Boys Under 16 years
Tragic
19.6%
Exceptional
13.0%
Girls Under 16 years
Tragic
19.4%
Exceptional
13.0%
Single Males
Average
12.8%
Exceptional
11.7%
Single Females
Average
21.0%
Exceptional
18.3%
Single Fathers
Average
16.3%
Exceptional
15.5%
Single Mothers
Poor
29.8%
Exceptional
26.2%
Married Couples
Tragic
6.5%
Exceptional
4.3%
Seniors Over 65 years
Tragic
14.4%
Exceptional
10.1%
Seniors Over 75 years
Tragic
16.1%
Excellent
11.7%
Receiving Food Stamps
Tragic
16.7%
Exceptional
8.6%

Guyanese vs Burmese Unemployment

When considering unemployment, the most significant differences between Guyanese and Burmese communities in the United States are seen in unemployment among ages 16 to 19 years (24.8% compared to 17.0%, a difference of 46.3%), male unemployment (7.1% compared to 4.9%, a difference of 45.0%), and unemployment among youth under 25 years (15.9% compared to 11.3%, a difference of 40.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (7.6% compared to 8.2%, a difference of 7.5%), unemployment among ages 65 to 74 years (5.6% compared to 5.2%, a difference of 8.3%), and unemployment among seniors over 65 years (5.6% compared to 5.0%, a difference of 11.0%).
Guyanese vs Burmese Unemployment
Unemployment MetricGuyaneseBurmese
Unemployment
Tragic
6.9%
Exceptional
4.9%
Males
Tragic
7.1%
Exceptional
4.9%
Females
Tragic
6.7%
Exceptional
5.0%
Youth < 25
Tragic
15.9%
Excellent
11.3%
Age | 16 to 19 years
Tragic
24.8%
Exceptional
17.0%
Age | 20 to 24 years
Tragic
14.0%
Excellent
10.2%
Age | 25 to 29 years
Tragic
8.5%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
7.2%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
5.9%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
5.6%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.7%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.5%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.6%
Exceptional
5.2%
Seniors > 65
Tragic
5.6%
Exceptional
5.0%
Seniors > 75
Exceptional
7.6%
Exceptional
8.2%
Women w/ Children < 6
Tragic
8.2%
Exceptional
6.5%
Women w/ Children 6 to 17
Fair
9.1%
Exceptional
8.0%
Women w/ Children < 18
Tragic
6.6%
Exceptional
4.9%

Guyanese vs Burmese Labor Participation

When considering labor participation, the most significant differences between Guyanese and Burmese communities in the United States are seen in in labor force | age 16-19 (27.4% compared to 34.5%, a difference of 25.7%), in labor force | age 20-24 (69.2% compared to 73.6%, a difference of 6.4%), and in labor force | age > 16 (64.1% compared to 66.2%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.8% compared to 84.7%, a difference of 1.1%), in labor force | age 30-34 (83.8% compared to 85.3%, a difference of 1.8%), and in labor force | age 25-29 (83.0% compared to 85.1%, a difference of 2.5%).
Guyanese vs Burmese Labor Participation
Labor Participation MetricGuyaneseBurmese
In Labor Force | Age > 16
Tragic
64.1%
Exceptional
66.2%
In Labor Force | Age 20-64
Tragic
78.1%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
27.4%
Tragic
34.5%
In Labor Force | Age 20-24
Tragic
69.2%
Tragic
73.6%
In Labor Force | Age 25-29
Tragic
83.0%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
83.8%
Exceptional
85.3%
In Labor Force | Age 35-44
Tragic
83.8%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
81.5%
Exceptional
83.6%

Guyanese vs Burmese Family Structure

When considering family structure, the most significant differences between Guyanese and Burmese communities in the United States are seen in single mother households (7.6% compared to 5.3%, a difference of 43.8%), births to unmarried women (35.2% compared to 26.4%, a difference of 33.4%), and married-couple households (41.4% compared to 49.8%, a difference of 20.4%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 65.7%, a difference of 0.76%), single father households (2.1% compared to 2.0%, a difference of 5.1%), and average family size (3.40 compared to 3.22, a difference of 5.7%).
Guyanese vs Burmese Family Structure
Family Structure MetricGuyaneseBurmese
Family Households
Exceptional
65.3%
Exceptional
65.7%
Family Households with Children
Tragic
26.3%
Exceptional
28.5%
Married-couple Households
Tragic
41.4%
Exceptional
49.8%
Average Family Size
Exceptional
3.40
Fair
3.22
Single Father Households
Exceptional
2.1%
Exceptional
2.0%
Single Mother Households
Tragic
7.6%
Exceptional
5.3%
Currently Married
Tragic
41.6%
Exceptional
48.9%
Divorced or Separated
Exceptional
11.5%
Exceptional
10.7%
Births to Unmarried Women
Tragic
35.2%
Exceptional
26.4%

Guyanese vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Guyanese and Burmese communities in the United States are seen in no vehicles in household (29.3% compared to 9.7%, a difference of 202.9%), 4 or more vehicles in household (3.5% compared to 6.8%, a difference of 95.8%), and 3 or more vehicles in household (11.5% compared to 20.6%, a difference of 80.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.8% compared to 90.4%, a difference of 27.7%), 2 or more vehicles in household (35.4% compared to 57.8%, a difference of 63.3%), and 3 or more vehicles in household (11.5% compared to 20.6%, a difference of 80.3%).
Guyanese vs Burmese Vehicle Availability
Vehicle Availability MetricGuyaneseBurmese
No Vehicles Available
Tragic
29.3%
Excellent
9.7%
1+ Vehicles Available
Tragic
70.8%
Excellent
90.4%
2+ Vehicles Available
Tragic
35.4%
Exceptional
57.8%
3+ Vehicles Available
Tragic
11.5%
Exceptional
20.6%
4+ Vehicles Available
Tragic
3.5%
Exceptional
6.8%

Guyanese vs Burmese Education Level

When considering education level, the most significant differences between Guyanese and Burmese communities in the United States are seen in doctorate degree (1.4% compared to 2.6%, a difference of 90.9%), professional degree (3.8% compared to 6.1%, a difference of 63.8%), and no schooling completed (3.0% compared to 1.9%, a difference of 55.8%). Conversely, both communities are more comparable in terms of nursery school (97.0% compared to 98.1%, a difference of 1.1%), kindergarten (96.9% compared to 98.1%, a difference of 1.2%), and 1st grade (96.9% compared to 98.0%, a difference of 1.2%).
Guyanese vs Burmese Education Level
Education Level MetricGuyaneseBurmese
No Schooling Completed
Tragic
3.0%
Excellent
1.9%
Nursery School
Tragic
97.0%
Excellent
98.1%
Kindergarten
Tragic
96.9%
Excellent
98.1%
1st Grade
Tragic
96.9%
Excellent
98.0%
2nd Grade
Tragic
96.8%
Excellent
98.0%
3rd Grade
Tragic
96.7%
Good
97.9%
4th Grade
Tragic
96.4%
Excellent
97.7%
5th Grade
Tragic
96.1%
Excellent
97.5%
6th Grade
Tragic
95.6%
Excellent
97.3%
7th Grade
Tragic
94.3%
Excellent
96.3%
8th Grade
Tragic
93.9%
Exceptional
96.1%
9th Grade
Tragic
92.7%
Exceptional
95.4%
10th Grade
Tragic
91.4%
Exceptional
94.5%
11th Grade
Tragic
89.9%
Exceptional
93.6%
12th Grade, No Diploma
Tragic
88.3%
Exceptional
92.6%
High School Diploma
Tragic
85.5%
Exceptional
90.8%
GED/Equivalency
Tragic
81.3%
Exceptional
88.3%
College, Under 1 year
Tragic
59.0%
Exceptional
71.9%
College, 1 year or more
Tragic
54.1%
Exceptional
66.7%
Associate's Degree
Tragic
42.3%
Exceptional
54.6%
Bachelor's Degree
Tragic
34.5%
Exceptional
46.9%
Master's Degree
Tragic
13.7%
Exceptional
19.7%
Professional Degree
Tragic
3.8%
Exceptional
6.1%
Doctorate Degree
Tragic
1.4%
Exceptional
2.6%

Guyanese vs Burmese Disability

When considering disability, the most significant differences between Guyanese and Burmese communities in the United States are seen in ambulatory disability (6.6% compared to 5.3%, a difference of 25.3%), hearing disability (2.3% compared to 2.8%, a difference of 22.5%), and self-care disability (2.7% compared to 2.3%, a difference of 21.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 45.9%, a difference of 2.1%), cognitive disability (17.5% compared to 16.7%, a difference of 4.8%), and male disability (10.5% compared to 10.0%, a difference of 4.9%).
Guyanese vs Burmese Disability
Disability MetricGuyaneseBurmese
Disability
Exceptional
11.3%
Exceptional
10.4%
Males
Exceptional
10.5%
Exceptional
10.0%
Females
Good
12.1%
Exceptional
10.7%
Age | Under 5 years
Exceptional
1.0%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.2%
Exceptional
4.8%
Age | 18 to 34 years
Exceptional
5.5%
Exceptional
6.0%
Age | 35 to 64 years
Good
11.0%
Exceptional
9.2%
Age | 65 to 74 years
Average
23.4%
Exceptional
20.6%
Age | Over 75 years
Excellent
46.9%
Exceptional
45.9%
Vision
Fair
2.2%
Exceptional
1.8%
Hearing
Exceptional
2.3%
Exceptional
2.8%
Cognitive
Poor
17.5%
Exceptional
16.7%
Ambulatory
Tragic
6.6%
Exceptional
5.3%
Self-Care
Tragic
2.7%
Exceptional
2.3%