Zimbabwean vs Burmese Community Comparison

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Zimbabwean
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican 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'ik
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

Zimbabweans

Burmese

Exceptional
Exceptional
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 68,358,491 people shows a poor negative correlation between the proportion of Burmese within Zimbabwean communities in the United States with a correlation coefficient (R) of -0.103. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is a decrease of 0.151% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to a decrease of 151.4 Burmese.
Zimbabwean Integration in Burmese Communities

Zimbabwean vs Burmese Income

When considering income, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in median male earnings ($56,302 compared to $65,236, a difference of 15.9%), householder income ages 25 - 44 years ($98,586 compared to $113,701, a difference of 15.3%), and median household income ($90,618 compared to $103,145, a difference of 13.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.3% compared to 28.0%, a difference of 6.5%), householder income under 25 years ($51,259 compared to $54,800, a difference of 6.9%), and householder income over 65 years ($65,854 compared to $71,139, a difference of 8.0%).
Zimbabwean vs Burmese Income
Income MetricZimbabweanBurmese
Per Capita Income
Exceptional
$45,804
Exceptional
$52,005
Median Family Income
Exceptional
$110,011
Exceptional
$123,369
Median Household Income
Exceptional
$90,618
Exceptional
$103,145
Median Earnings
Exceptional
$48,229
Exceptional
$54,559
Median Male Earnings
Excellent
$56,302
Exceptional
$65,236
Median Female Earnings
Exceptional
$40,798
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$51,259
Exceptional
$54,800
Householder Age | 25 - 44 years
Exceptional
$98,586
Exceptional
$113,701
Householder Age | 45 - 64 years
Exceptional
$106,849
Exceptional
$121,444
Householder Age | Over 65 years
Exceptional
$65,854
Exceptional
$71,139
Wage/Income Gap
Fair
26.3%
Tragic
28.0%

Zimbabwean vs Burmese Poverty

When considering poverty, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in child poverty under the age of 5 (15.2% compared to 13.2%, a difference of 14.8%), single male poverty (13.1% compared to 11.7%, a difference of 11.7%), and child poverty among boys under 16 (14.3% compared to 13.0%, a difference of 10.6%). Conversely, both communities are more comparable in terms of single father poverty (15.6% compared to 15.5%, a difference of 0.76%), female poverty among 25-34 year olds (11.7% compared to 11.2%, a difference of 4.4%), and seniors poverty over the age of 75 (11.2% compared to 11.7%, a difference of 4.7%).
Zimbabwean vs Burmese Poverty
Poverty MetricZimbabweanBurmese
Poverty
Exceptional
11.3%
Exceptional
10.7%
Families
Exceptional
7.8%
Exceptional
7.3%
Males
Exceptional
10.2%
Exceptional
9.7%
Females
Exceptional
12.3%
Exceptional
11.6%
Females 18 to 24 years
Fair
20.4%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
11.7%
Exceptional
11.2%
Children Under 5 years
Exceptional
15.2%
Exceptional
13.2%
Children Under 16 years
Exceptional
14.2%
Exceptional
12.8%
Boys Under 16 years
Exceptional
14.3%
Exceptional
13.0%
Girls Under 16 years
Exceptional
14.4%
Exceptional
13.0%
Single Males
Poor
13.1%
Exceptional
11.7%
Single Females
Exceptional
19.5%
Exceptional
18.3%
Single Fathers
Exceptional
15.6%
Exceptional
15.5%
Single Mothers
Exceptional
27.9%
Exceptional
26.2%
Married Couples
Exceptional
4.1%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
9.6%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
11.2%
Excellent
11.7%
Receiving Food Stamps
Exceptional
9.5%
Exceptional
8.6%

Zimbabwean vs Burmese Unemployment

When considering unemployment, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in unemployment among ages 65 to 74 years (5.9% compared to 5.2%, a difference of 13.8%), unemployment among women with children under 6 years (7.3% compared to 6.5%, a difference of 13.3%), and unemployment among youth under 25 years (10.2% compared to 11.3%, a difference of 11.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.11%), unemployment among ages 45 to 54 years (4.2% compared to 4.2%, a difference of 0.64%), and male unemployment (4.8% compared to 4.9%, a difference of 2.8%).
Zimbabwean vs Burmese Unemployment
Unemployment MetricZimbabweanBurmese
Unemployment
Exceptional
4.8%
Exceptional
4.9%
Males
Exceptional
4.8%
Exceptional
4.9%
Females
Exceptional
4.8%
Exceptional
5.0%
Youth < 25
Exceptional
10.2%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
15.4%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.2%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
4.8%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.2%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.5%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.9%
Exceptional
5.2%
Seniors > 65
Tragic
5.6%
Exceptional
5.0%
Seniors > 75
Average
8.7%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
7.3%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.9%

Zimbabwean vs Burmese Labor Participation

When considering labor participation, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 34.5%, a difference of 12.2%), in labor force | age 20-24 (75.6% compared to 73.6%, a difference of 2.8%), and in labor force | age > 16 (67.3% compared to 66.2%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.6% compared to 85.3%, a difference of 0.46%), in labor force | age 45-54 (84.0% compared to 83.6%, a difference of 0.49%), and in labor force | age 25-29 (84.5% compared to 85.1%, a difference of 0.75%).
Zimbabwean vs Burmese Labor Participation
Labor Participation MetricZimbabweanBurmese
In Labor Force | Age > 16
Exceptional
67.3%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
81.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.7%
Tragic
34.5%
In Labor Force | Age 20-24
Excellent
75.6%
Tragic
73.6%
In Labor Force | Age 25-29
Fair
84.5%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
86.1%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
84.0%
Exceptional
83.6%

Zimbabwean vs Burmese Family Structure

When considering family structure, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in single mother households (6.1% compared to 5.3%, a difference of 14.7%), births to unmarried women (28.7% compared to 26.4%, a difference of 8.8%), and single father households (2.2% compared to 2.0%, a difference of 8.7%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.22, a difference of 0.52%), family households with children (27.9% compared to 28.5%, a difference of 2.1%), and family households (64.1% compared to 65.7%, a difference of 2.6%).
Zimbabwean vs Burmese Family Structure
Family Structure MetricZimbabweanBurmese
Family Households
Fair
64.1%
Exceptional
65.7%
Family Households with Children
Exceptional
27.9%
Exceptional
28.5%
Married-couple Households
Excellent
47.4%
Exceptional
49.8%
Average Family Size
Poor
3.20
Fair
3.22
Single Father Households
Exceptional
2.2%
Exceptional
2.0%
Single Mother Households
Excellent
6.1%
Exceptional
5.3%
Currently Married
Good
47.0%
Exceptional
48.9%
Divorced or Separated
Exceptional
11.6%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
28.7%
Exceptional
26.4%

Zimbabwean vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in no vehicles in household (9.0% compared to 9.7%, a difference of 7.0%), 4 or more vehicles in household (6.4% compared to 6.8%, a difference of 6.0%), and 3 or more vehicles in household (20.3% compared to 20.6%, a difference of 1.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 90.4%, a difference of 0.65%), 2 or more vehicles in household (57.2% compared to 57.8%, a difference of 0.97%), and 3 or more vehicles in household (20.3% compared to 20.6%, a difference of 1.9%).
Zimbabwean vs Burmese Vehicle Availability
Vehicle Availability MetricZimbabweanBurmese
No Vehicles Available
Exceptional
9.0%
Excellent
9.7%
1+ Vehicles Available
Exceptional
91.0%
Excellent
90.4%
2+ Vehicles Available
Exceptional
57.2%
Exceptional
57.8%
3+ Vehicles Available
Excellent
20.3%
Exceptional
20.6%
4+ Vehicles Available
Good
6.4%
Exceptional
6.8%

Zimbabwean vs Burmese Education Level

When considering education level, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in professional degree (5.2% compared to 6.1%, a difference of 18.2%), doctorate degree (2.3% compared to 2.6%, a difference of 16.0%), and no schooling completed (1.7% compared to 1.9%, a difference of 12.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.7% compared to 92.6%, a difference of 0.11%), nursery school (98.3% compared to 98.1%, a difference of 0.22%), and kindergarten (98.3% compared to 98.1%, a difference of 0.22%).
Zimbabwean vs Burmese Education Level
Education Level MetricZimbabweanBurmese
No Schooling Completed
Exceptional
1.7%
Excellent
1.9%
Nursery School
Exceptional
98.3%
Excellent
98.1%
Kindergarten
Exceptional
98.3%
Excellent
98.1%
1st Grade
Exceptional
98.3%
Excellent
98.0%
2nd Grade
Exceptional
98.2%
Excellent
98.0%
3rd Grade
Exceptional
98.1%
Good
97.9%
4th Grade
Exceptional
97.9%
Excellent
97.7%
5th Grade
Exceptional
97.8%
Excellent
97.5%
6th Grade
Exceptional
97.6%
Excellent
97.3%
7th Grade
Exceptional
96.8%
Excellent
96.3%
8th Grade
Exceptional
96.5%
Exceptional
96.1%
9th Grade
Exceptional
95.9%
Exceptional
95.4%
10th Grade
Exceptional
94.9%
Exceptional
94.5%
11th Grade
Exceptional
93.9%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
92.7%
Exceptional
92.6%
High School Diploma
Exceptional
91.1%
Exceptional
90.8%
GED/Equivalency
Exceptional
88.0%
Exceptional
88.3%
College, Under 1 year
Exceptional
69.9%
Exceptional
71.9%
College, 1 year or more
Exceptional
64.2%
Exceptional
66.7%
Associate's Degree
Exceptional
51.3%
Exceptional
54.6%
Bachelor's Degree
Exceptional
43.3%
Exceptional
46.9%
Master's Degree
Exceptional
17.7%
Exceptional
19.7%
Professional Degree
Exceptional
5.2%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.3%
Exceptional
2.6%

Zimbabwean vs Burmese Disability

When considering disability, the most significant differences between Zimbabwean and Burmese communities in the United States are seen in disability age 5 to 17 (5.5% compared to 4.8%, a difference of 16.1%), disability age 35 to 64 (10.4% compared to 9.2%, a difference of 13.4%), and disability age 18 to 34 (6.5% compared to 6.0%, a difference of 8.0%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 1.5%), ambulatory disability (5.4% compared to 5.3%, a difference of 2.1%), and disability age 65 to 74 (21.5% compared to 20.6%, a difference of 4.5%).
Zimbabwean vs Burmese Disability
Disability MetricZimbabweanBurmese
Disability
Exceptional
10.9%
Exceptional
10.4%
Males
Exceptional
10.6%
Exceptional
10.0%
Females
Exceptional
11.3%
Exceptional
10.7%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Good
5.5%
Exceptional
4.8%
Age | 18 to 34 years
Good
6.5%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.4%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
21.5%
Exceptional
20.6%
Age | Over 75 years
Tragic
48.1%
Exceptional
45.9%
Vision
Exceptional
2.0%
Exceptional
1.8%
Hearing
Excellent
2.8%
Exceptional
2.8%
Cognitive
Tragic
17.6%
Exceptional
16.7%
Ambulatory
Exceptional
5.4%
Exceptional
5.3%
Self-Care
Exceptional
2.2%
Exceptional
2.3%