Burmese vs Moroccan 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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianNative 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
Moroccan
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

Moroccans

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
3,626
SOCIAL INDEX
33.8/ 100
SOCIAL RATING
215th/ 347
SOCIAL RANK

Moroccan Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 193,794,228 people shows a mild positive correlation between the proportion of Moroccans within Burmese communities in the United States with a correlation coefficient (R) of 0.355. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.008% in Moroccans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 7.6 Moroccans.
Burmese Integration in Moroccan Communities

Burmese vs Moroccan Income

When considering income, the most significant differences between Burmese and Moroccan communities in the United States are seen in householder income ages 45 - 64 years ($121,444 compared to $100,138, a difference of 21.3%), median household income ($103,145 compared to $86,468, a difference of 19.3%), and householder income over 65 years ($71,139 compared to $59,683, a difference of 19.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $53,256, a difference of 2.9%), median female earnings ($44,911 compared to $41,872, a difference of 7.3%), and median earnings ($54,559 compared to $48,838, a difference of 11.7%).
Burmese vs Moroccan Income
Income MetricBurmeseMoroccan
Per Capita Income
Exceptional
$52,005
Exceptional
$45,854
Median Family Income
Exceptional
$123,369
Good
$104,488
Median Household Income
Exceptional
$103,145
Good
$86,468
Median Earnings
Exceptional
$54,559
Exceptional
$48,838
Median Male Earnings
Exceptional
$65,236
Excellent
$56,499
Median Female Earnings
Exceptional
$44,911
Exceptional
$41,872
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$53,256
Householder Age | 25 - 44 years
Exceptional
$113,701
Good
$96,117
Householder Age | 45 - 64 years
Exceptional
$121,444
Average
$100,138
Householder Age | Over 65 years
Exceptional
$71,139
Fair
$59,683
Wage/Income Gap
Tragic
28.0%
Exceptional
24.0%

Burmese vs Moroccan Poverty

When considering poverty, the most significant differences between Burmese and Moroccan communities in the United States are seen in receiving food stamps (8.6% compared to 12.8%, a difference of 47.6%), child poverty under the age of 5 (13.2% compared to 18.2%, a difference of 37.9%), and child poverty under the age of 16 (12.8% compared to 17.6%, a difference of 37.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.9% compared to 20.4%, a difference of 7.7%), single father poverty (15.5% compared to 17.0%, a difference of 9.8%), and single male poverty (11.7% compared to 12.9%, a difference of 9.9%).
Burmese vs Moroccan Poverty
Poverty MetricBurmeseMoroccan
Poverty
Exceptional
10.7%
Tragic
13.2%
Families
Exceptional
7.3%
Tragic
9.8%
Males
Exceptional
9.7%
Tragic
12.0%
Females
Exceptional
11.6%
Tragic
14.3%
Females 18 to 24 years
Exceptional
18.9%
Fair
20.4%
Females 25 to 34 years
Exceptional
11.2%
Fair
13.8%
Children Under 5 years
Exceptional
13.2%
Tragic
18.2%
Children Under 16 years
Exceptional
12.8%
Tragic
17.6%
Boys Under 16 years
Exceptional
13.0%
Tragic
17.7%
Girls Under 16 years
Exceptional
13.0%
Tragic
17.8%
Single Males
Exceptional
11.7%
Fair
12.9%
Single Females
Exceptional
18.3%
Average
21.0%
Single Fathers
Exceptional
15.5%
Tragic
17.0%
Single Mothers
Exceptional
26.2%
Fair
29.5%
Married Couples
Exceptional
4.3%
Tragic
5.7%
Seniors Over 65 years
Exceptional
10.1%
Tragic
12.0%
Seniors Over 75 years
Excellent
11.7%
Tragic
13.3%
Receiving Food Stamps
Exceptional
8.6%
Tragic
12.8%

Burmese vs Moroccan Unemployment

When considering unemployment, the most significant differences between Burmese and Moroccan communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.9%, a difference of 22.3%), unemployment among women with children under 18 years (4.9% compared to 5.9%, a difference of 18.4%), and male unemployment (4.9% compared to 5.6%, a difference of 14.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 3.0%), unemployment among seniors over 75 years (8.2% compared to 7.8%, a difference of 4.4%), and unemployment among ages 20 to 24 years (10.2% compared to 10.7%, a difference of 5.4%).
Burmese vs Moroccan Unemployment
Unemployment MetricBurmeseMoroccan
Unemployment
Exceptional
4.9%
Tragic
5.5%
Males
Exceptional
4.9%
Tragic
5.6%
Females
Exceptional
5.0%
Tragic
5.5%
Youth < 25
Excellent
11.3%
Tragic
12.1%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
18.5%
Age | 20 to 24 years
Excellent
10.2%
Tragic
10.7%
Age | 25 to 29 years
Exceptional
6.2%
Fair
6.7%
Age | 30 to 34 years
Exceptional
5.1%
Fair
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
4.9%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
4.8%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.0%
Age | 60 to 64 years
Excellent
4.8%
Poor
4.9%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.7%
Seniors > 65
Exceptional
5.0%
Tragic
5.4%
Seniors > 75
Exceptional
8.2%
Exceptional
7.8%
Women w/ Children < 6
Exceptional
6.5%
Tragic
7.9%
Women w/ Children 6 to 17
Exceptional
8.0%
Average
8.9%
Women w/ Children < 18
Exceptional
4.9%
Tragic
5.9%

Burmese vs Moroccan Labor Participation

When considering labor participation, the most significant differences between Burmese and Moroccan communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 35.7%, a difference of 3.5%), in labor force | age 20-24 (73.6% compared to 74.7%, a difference of 1.5%), and in labor force | age 45-54 (83.6% compared to 82.5%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.1%, a difference of 0.17%), in labor force | age 35-44 (84.7% compared to 84.2%, a difference of 0.58%), and in labor force | age 25-29 (85.1% compared to 84.5%, a difference of 0.72%).
Burmese vs Moroccan Labor Participation
Labor Participation MetricBurmeseMoroccan
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
80.3%
Good
79.7%
In Labor Force | Age 16-19
Tragic
34.5%
Poor
35.7%
In Labor Force | Age 20-24
Tragic
73.6%
Fair
74.7%
In Labor Force | Age 25-29
Exceptional
85.1%
Fair
84.5%
In Labor Force | Age 30-34
Exceptional
85.3%
Average
84.6%
In Labor Force | Age 35-44
Exceptional
84.7%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Poor
82.5%

Burmese vs Moroccan Family Structure

When considering family structure, the most significant differences between Burmese and Moroccan communities in the United States are seen in single mother households (5.3% compared to 6.6%, a difference of 24.4%), births to unmarried women (26.4% compared to 31.8%, a difference of 20.6%), and married-couple households (49.8% compared to 43.5%, a difference of 14.5%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.22, a difference of 0.26%), family households with children (28.5% compared to 26.9%, a difference of 5.8%), and family households (65.7% compared to 61.9%, a difference of 6.2%).
Burmese vs Moroccan Family Structure
Family Structure MetricBurmeseMoroccan
Family Households
Exceptional
65.7%
Tragic
61.9%
Family Households with Children
Exceptional
28.5%
Tragic
26.9%
Married-couple Households
Exceptional
49.8%
Tragic
43.5%
Average Family Size
Fair
3.22
Average
3.22
Single Father Households
Exceptional
2.0%
Exceptional
2.2%
Single Mother Households
Exceptional
5.3%
Poor
6.6%
Currently Married
Exceptional
48.9%
Tragic
44.6%
Divorced or Separated
Exceptional
10.7%
Fair
12.1%
Births to Unmarried Women
Exceptional
26.4%
Average
31.8%

Burmese vs Moroccan Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Moroccan communities in the United States are seen in no vehicles in household (9.7% compared to 14.7%, a difference of 51.6%), 4 or more vehicles in household (6.8% compared to 4.9%, a difference of 38.9%), and 3 or more vehicles in household (20.6% compared to 15.9%, a difference of 30.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 85.4%, a difference of 5.9%), 2 or more vehicles in household (57.8% compared to 48.8%, a difference of 18.4%), and 3 or more vehicles in household (20.6% compared to 15.9%, a difference of 30.0%).
Burmese vs Moroccan Vehicle Availability
Vehicle Availability MetricBurmeseMoroccan
No Vehicles Available
Excellent
9.7%
Tragic
14.7%
1+ Vehicles Available
Excellent
90.4%
Tragic
85.4%
2+ Vehicles Available
Exceptional
57.8%
Tragic
48.8%
3+ Vehicles Available
Exceptional
20.6%
Tragic
15.9%
4+ Vehicles Available
Exceptional
6.8%
Tragic
4.9%

Burmese vs Moroccan Education Level

When considering education level, the most significant differences between Burmese and Moroccan communities in the United States are seen in doctorate degree (2.6% compared to 2.0%, a difference of 30.9%), professional degree (6.1% compared to 5.0%, a difference of 24.1%), and master's degree (19.7% compared to 16.8%, a difference of 17.4%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.8%, a difference of 0.29%), kindergarten (98.1% compared to 97.8%, a difference of 0.29%), and 1st grade (98.0% compared to 97.7%, a difference of 0.30%).
Burmese vs Moroccan Education Level
Education Level MetricBurmeseMoroccan
No Schooling Completed
Excellent
1.9%
Poor
2.2%
Nursery School
Excellent
98.1%
Tragic
97.8%
Kindergarten
Excellent
98.1%
Tragic
97.8%
1st Grade
Excellent
98.0%
Tragic
97.7%
2nd Grade
Excellent
98.0%
Tragic
97.7%
3rd Grade
Good
97.9%
Tragic
97.6%
4th Grade
Excellent
97.7%
Poor
97.3%
5th Grade
Excellent
97.5%
Poor
97.1%
6th Grade
Excellent
97.3%
Tragic
96.8%
7th Grade
Excellent
96.3%
Poor
95.8%
8th Grade
Exceptional
96.1%
Poor
95.5%
9th Grade
Exceptional
95.4%
Poor
94.6%
10th Grade
Exceptional
94.5%
Fair
93.5%
11th Grade
Exceptional
93.6%
Fair
92.3%
12th Grade, No Diploma
Exceptional
92.6%
Fair
90.9%
High School Diploma
Exceptional
90.8%
Fair
88.8%
GED/Equivalency
Exceptional
88.3%
Fair
85.5%
College, Under 1 year
Exceptional
71.9%
Average
65.6%
College, 1 year or more
Exceptional
66.7%
Good
60.2%
Associate's Degree
Exceptional
54.6%
Excellent
48.2%
Bachelor's Degree
Exceptional
46.9%
Exceptional
40.5%
Master's Degree
Exceptional
19.7%
Exceptional
16.8%
Professional Degree
Exceptional
6.1%
Exceptional
5.0%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.0%

Burmese vs Moroccan Disability

When considering disability, the most significant differences between Burmese and Moroccan communities in the United States are seen in disability age 5 to 17 (4.8% compared to 5.7%, a difference of 20.3%), disability age 35 to 64 (9.2% compared to 11.0%, a difference of 19.5%), and vision disability (1.8% compared to 2.2%, a difference of 18.2%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 0.11%), disability age over 75 (45.9% compared to 47.2%, a difference of 2.8%), and cognitive disability (16.7% compared to 17.6%, a difference of 5.7%).
Burmese vs Moroccan Disability
Disability MetricBurmeseMoroccan
Disability
Exceptional
10.4%
Excellent
11.5%
Males
Exceptional
10.0%
Excellent
11.0%
Females
Exceptional
10.7%
Good
12.1%
Age | Under 5 years
Exceptional
1.1%
Excellent
1.2%
Age | 5 to 17 years
Exceptional
4.8%
Poor
5.7%
Age | 18 to 34 years
Exceptional
6.0%
Excellent
6.4%
Age | 35 to 64 years
Exceptional
9.2%
Good
11.0%
Age | 65 to 74 years
Exceptional
20.6%
Average
23.3%
Age | Over 75 years
Exceptional
45.9%
Good
47.2%
Vision
Exceptional
1.8%
Fair
2.2%
Hearing
Exceptional
2.8%
Exceptional
2.8%
Cognitive
Exceptional
16.7%
Tragic
17.6%
Ambulatory
Exceptional
5.3%
Average
6.1%
Self-Care
Exceptional
2.3%
Fair
2.5%