Burmese vs Guyanese 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/ChamorroGuatemalanHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Guyanese

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

Guyanese Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 169,100,306 people shows no correlation between the proportion of Guyanese within Burmese communities in the United States with a correlation coefficient (R) of 0.026. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.001% in Guyanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 0.5 Guyanese.
Burmese Integration in Guyanese Communities

Burmese vs Guyanese Income

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

Burmese vs Guyanese Poverty

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

Burmese vs Guyanese Unemployment

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

Burmese vs Guyanese Labor Participation

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

Burmese vs Guyanese Family Structure

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

Burmese vs Guyanese Vehicle Availability

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

Burmese vs Guyanese Education Level

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

Burmese vs Guyanese Disability

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