Burmese vs Ghanaian Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (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 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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Ghanaians

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

Ghanaian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 184,666,340 people shows a poor negative correlation between the proportion of Ghanaians within Burmese communities in the United States with a correlation coefficient (R) of -0.198. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.003% in Ghanaians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 3.4 Ghanaians.
Burmese Integration in Ghanaian Communities

Burmese vs Ghanaian Income

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

Burmese vs Ghanaian Poverty

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

Burmese vs Ghanaian Unemployment

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

Burmese vs Ghanaian Labor Participation

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

Burmese vs Ghanaian Family Structure

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

Burmese vs Ghanaian Vehicle Availability

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

Burmese vs Ghanaian Education Level

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

Burmese vs Ghanaian Disability

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