Ghanaian vs Burmese Community Comparison

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Ghanaian
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 RussianGreekGuamanian/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

Ghanaians

Burmese

Fair
Exceptional
2,403
SOCIAL INDEX
21.6/ 100
SOCIAL RATING
261st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Ghanaian Communities

The statistical analysis conducted on geographies consisting of 184,720,379 people shows a weak positive correlation between the proportion of Burmese within Ghanaian communities in the United States with a correlation coefficient (R) of 0.253. On average, for every 1% (one percent) increase in Ghanaians within a typical geography, there is an increase of 0.122% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Ghanaians corresponds to an increase of 121.7 Burmese.
Ghanaian Integration in Burmese Communities

Ghanaian vs Burmese Income

When considering income, the most significant differences between Ghanaian and Burmese communities in the United States are seen in householder income ages 25 - 44 years ($90,137 compared to $113,701, a difference of 26.1%), wage/income gap (22.3% compared to 28.0%, a difference of 25.4%), and householder income ages 45 - 64 years ($97,277 compared to $121,444, a difference of 24.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,594 compared to $54,800, a difference of 4.2%), median female earnings ($40,429 compared to $44,911, a difference of 11.1%), and median earnings ($46,440 compared to $54,559, a difference of 17.5%).
Ghanaian vs Burmese Income
Income MetricGhanaianBurmese
Per Capita Income
Poor
$42,164
Exceptional
$52,005
Median Family Income
Poor
$98,877
Exceptional
$123,369
Median Household Income
Fair
$83,582
Exceptional
$103,145
Median Earnings
Average
$46,440
Exceptional
$54,559
Median Male Earnings
Poor
$52,810
Exceptional
$65,236
Median Female Earnings
Excellent
$40,429
Exceptional
$44,911
Householder Age | Under 25 years
Good
$52,594
Exceptional
$54,800
Householder Age | 25 - 44 years
Tragic
$90,137
Exceptional
$113,701
Householder Age | 45 - 64 years
Poor
$97,277
Exceptional
$121,444
Householder Age | Over 65 years
Fair
$60,043
Exceptional
$71,139
Wage/Income Gap
Exceptional
22.3%
Tragic
28.0%

Ghanaian vs Burmese Poverty

When considering poverty, the most significant differences between Ghanaian and Burmese communities in the United States are seen in receiving food stamps (14.0% compared to 8.6%, a difference of 61.3%), child poverty among boys under 16 (18.9% compared to 13.0%, a difference of 45.6%), and child poverty under the age of 5 (19.2% compared to 13.2%, a difference of 45.1%). Conversely, both communities are more comparable in terms of single father poverty (16.7% compared to 15.5%, a difference of 7.8%), female poverty among 18-24 year olds (20.8% compared to 18.9%, a difference of 9.8%), and single mother poverty (29.4% compared to 26.2%, a difference of 11.9%).
Ghanaian vs Burmese Poverty
Poverty MetricGhanaianBurmese
Poverty
Tragic
13.9%
Exceptional
10.7%
Families
Tragic
10.3%
Exceptional
7.3%
Males
Tragic
12.7%
Exceptional
9.7%
Females
Tragic
14.7%
Exceptional
11.6%
Females 18 to 24 years
Tragic
20.8%
Exceptional
18.9%
Females 25 to 34 years
Tragic
14.4%
Exceptional
11.2%
Children Under 5 years
Tragic
19.2%
Exceptional
13.2%
Children Under 16 years
Tragic
18.6%
Exceptional
12.8%
Boys Under 16 years
Tragic
18.9%
Exceptional
13.0%
Girls Under 16 years
Tragic
18.5%
Exceptional
13.0%
Single Males
Tragic
13.3%
Exceptional
11.7%
Single Females
Poor
21.6%
Exceptional
18.3%
Single Fathers
Poor
16.7%
Exceptional
15.5%
Single Mothers
Fair
29.4%
Exceptional
26.2%
Married Couples
Tragic
5.7%
Exceptional
4.3%
Seniors Over 65 years
Tragic
12.4%
Exceptional
10.1%
Seniors Over 75 years
Tragic
14.0%
Excellent
11.7%
Receiving Food Stamps
Tragic
14.0%
Exceptional
8.6%

Ghanaian vs Burmese Unemployment

When considering unemployment, the most significant differences between Ghanaian and Burmese communities in the United States are seen in unemployment among women with children under 6 years (8.2% compared to 6.5%, a difference of 27.1%), unemployment among women with children under 18 years (6.2% compared to 4.9%, a difference of 24.8%), and male unemployment (6.1% compared to 4.9%, a difference of 24.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.4% compared to 8.2%, a difference of 2.4%), unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 4.7%), and unemployment among ages 65 to 74 years (5.6% compared to 5.2%, a difference of 6.4%).
Ghanaian vs Burmese Unemployment
Unemployment MetricGhanaianBurmese
Unemployment
Tragic
6.0%
Exceptional
4.9%
Males
Tragic
6.1%
Exceptional
4.9%
Females
Tragic
5.9%
Exceptional
5.0%
Youth < 25
Tragic
13.3%
Excellent
11.3%
Age | 16 to 19 years
Tragic
19.8%
Exceptional
17.0%
Age | 20 to 24 years
Tragic
11.7%
Excellent
10.2%
Age | 25 to 29 years
Tragic
7.2%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
6.0%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
5.3%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.9%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.3%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.0%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.6%
Exceptional
5.2%
Seniors > 65
Tragic
5.4%
Exceptional
5.0%
Seniors > 75
Exceptional
8.4%
Exceptional
8.2%
Women w/ Children < 6
Tragic
8.2%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.6%
Exceptional
8.0%
Women w/ Children < 18
Tragic
6.2%
Exceptional
4.9%

Ghanaian vs Burmese Labor Participation

When considering labor participation, the most significant differences between Ghanaian and Burmese communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 34.5%, a difference of 2.5%), in labor force | age > 16 (67.1% compared to 66.2%, a difference of 1.4%), and in labor force | age 20-24 (74.3% compared to 73.6%, a difference of 0.99%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.18%), in labor force | age 20-64 (80.1% compared to 80.3%, a difference of 0.21%), and in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.21%).
Ghanaian vs Burmese Labor Participation
Labor Participation MetricGhanaianBurmese
In Labor Force | Age > 16
Exceptional
67.1%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
35.3%
Tragic
34.5%
In Labor Force | Age 20-24
Tragic
74.3%
Tragic
73.6%
In Labor Force | Age 25-29
Average
84.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
84.8%
Exceptional
84.7%
In Labor Force | Age 45-54
Good
83.0%
Exceptional
83.6%

Ghanaian vs Burmese Family Structure

When considering family structure, the most significant differences between Ghanaian and Burmese communities in the United States are seen in single mother households (7.8% compared to 5.3%, a difference of 48.4%), births to unmarried women (34.3% compared to 26.4%, a difference of 29.9%), and single father households (2.4% compared to 2.0%, a difference of 19.0%). Conversely, both communities are more comparable in terms of family households with children (28.5% compared to 28.5%, a difference of 0.10%), average family size (3.29 compared to 3.22, a difference of 2.1%), and family households (63.5% compared to 65.7%, a difference of 3.6%).
Ghanaian vs Burmese Family Structure
Family Structure MetricGhanaianBurmese
Family Households
Tragic
63.5%
Exceptional
65.7%
Family Households with Children
Exceptional
28.5%
Exceptional
28.5%
Married-couple Households
Tragic
42.2%
Exceptional
49.8%
Average Family Size
Exceptional
3.29
Fair
3.22
Single Father Households
Poor
2.4%
Exceptional
2.0%
Single Mother Households
Tragic
7.8%
Exceptional
5.3%
Currently Married
Tragic
42.9%
Exceptional
48.9%
Divorced or Separated
Average
12.1%
Exceptional
10.7%
Births to Unmarried Women
Tragic
34.3%
Exceptional
26.4%

Ghanaian vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Ghanaian and Burmese communities in the United States are seen in no vehicles in household (16.4% compared to 9.7%, a difference of 70.0%), 4 or more vehicles in household (5.2% compared to 6.8%, a difference of 30.0%), and 3 or more vehicles in household (16.4% compared to 20.6%, a difference of 26.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (83.6% compared to 90.4%, a difference of 8.1%), 2 or more vehicles in household (48.0% compared to 57.8%, a difference of 20.5%), and 3 or more vehicles in household (16.4% compared to 20.6%, a difference of 26.2%).
Ghanaian vs Burmese Vehicle Availability
Vehicle Availability MetricGhanaianBurmese
No Vehicles Available
Tragic
16.4%
Excellent
9.7%
1+ Vehicles Available
Tragic
83.6%
Excellent
90.4%
2+ Vehicles Available
Tragic
48.0%
Exceptional
57.8%
3+ Vehicles Available
Tragic
16.4%
Exceptional
20.6%
4+ Vehicles Available
Tragic
5.2%
Exceptional
6.8%

Ghanaian vs Burmese Education Level

When considering education level, the most significant differences between Ghanaian and Burmese communities in the United States are seen in professional degree (4.3% compared to 6.1%, a difference of 44.6%), doctorate degree (1.8% compared to 2.6%, a difference of 43.7%), and no schooling completed (2.6% compared to 1.9%, a difference of 31.2%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 98.1%, a difference of 0.63%), kindergarten (97.4% compared to 98.1%, a difference of 0.64%), and 1st grade (97.4% compared to 98.0%, a difference of 0.64%).
Ghanaian vs Burmese Education Level
Education Level MetricGhanaianBurmese
No Schooling Completed
Tragic
2.6%
Excellent
1.9%
Nursery School
Tragic
97.5%
Excellent
98.1%
Kindergarten
Tragic
97.4%
Excellent
98.1%
1st Grade
Tragic
97.4%
Excellent
98.0%
2nd Grade
Tragic
97.4%
Excellent
98.0%
3rd Grade
Tragic
97.2%
Good
97.9%
4th Grade
Tragic
97.0%
Excellent
97.7%
5th Grade
Tragic
96.7%
Excellent
97.5%
6th Grade
Tragic
96.4%
Excellent
97.3%
7th Grade
Tragic
95.3%
Excellent
96.3%
8th Grade
Tragic
94.9%
Exceptional
96.1%
9th Grade
Tragic
93.9%
Exceptional
95.4%
10th Grade
Tragic
92.8%
Exceptional
94.5%
11th Grade
Tragic
91.5%
Exceptional
93.6%
12th Grade, No Diploma
Tragic
90.0%
Exceptional
92.6%
High School Diploma
Tragic
87.7%
Exceptional
90.8%
GED/Equivalency
Tragic
84.3%
Exceptional
88.3%
College, Under 1 year
Poor
63.9%
Exceptional
71.9%
College, 1 year or more
Fair
58.4%
Exceptional
66.7%
Associate's Degree
Fair
45.8%
Exceptional
54.6%
Bachelor's Degree
Average
38.0%
Exceptional
46.9%
Master's Degree
Good
15.5%
Exceptional
19.7%
Professional Degree
Fair
4.3%
Exceptional
6.1%
Doctorate Degree
Average
1.8%
Exceptional
2.6%

Ghanaian vs Burmese Disability

When considering disability, the most significant differences between Ghanaian and Burmese communities in the United States are seen in disability age 35 to 64 (11.7% compared to 9.2%, a difference of 26.7%), disability age 5 to 17 (5.8% compared to 4.8%, a difference of 21.5%), and vision disability (2.2% compared to 1.8%, a difference of 19.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.5% compared to 45.9%, a difference of 3.5%), disability age under 5 (1.2% compared to 1.1%, a difference of 7.5%), and male disability (10.8% compared to 10.0%, a difference of 8.3%).
Ghanaian vs Burmese Disability
Disability MetricGhanaianBurmese
Disability
Excellent
11.5%
Exceptional
10.4%
Males
Exceptional
10.8%
Exceptional
10.0%
Females
Good
12.1%
Exceptional
10.7%
Age | Under 5 years
Good
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
4.8%
Age | 18 to 34 years
Average
6.6%
Exceptional
6.0%
Age | 35 to 64 years
Poor
11.7%
Exceptional
9.2%
Age | 65 to 74 years
Poor
24.1%
Exceptional
20.6%
Age | Over 75 years
Fair
47.5%
Exceptional
45.9%
Vision
Fair
2.2%
Exceptional
1.8%
Hearing
Exceptional
2.5%
Exceptional
2.8%
Cognitive
Tragic
18.3%
Exceptional
16.7%
Ambulatory
Good
6.0%
Exceptional
5.3%
Self-Care
Average
2.5%
Exceptional
2.3%