Burmese vs Zimbabwean Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Zimbabweans

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

Zimbabwean Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 68,365,486 people shows a moderate positive correlation between the proportion of Zimbabweans within Burmese communities in the United States with a correlation coefficient (R) of 0.431. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.014% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 14.3 Zimbabweans.
Burmese Integration in Zimbabwean Communities

Burmese vs Zimbabwean Income

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

Burmese vs Zimbabwean Poverty

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

Burmese vs Zimbabwean Unemployment

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

Burmese vs Zimbabwean Labor Participation

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

Burmese vs Zimbabwean Family Structure

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

Burmese vs Zimbabwean Vehicle Availability

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

Burmese vs Zimbabwean Education Level

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

Burmese vs Zimbabwean Disability

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