Zimbabwean vs Malaysian Community Comparison

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Zimbabwean
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalteseMarshalleseMenomineeMexicanMexican 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
Malaysian
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

Malaysians

Exceptional
Fair
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
3,136
SOCIAL INDEX
28.9/ 100
SOCIAL RATING
232nd/ 347
SOCIAL RANK

Malaysian Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 56,527,771 people shows a very strong positive correlation between the proportion of Malaysians within Zimbabwean communities in the United States with a correlation coefficient (R) of 0.819. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is an increase of 0.659% in Malaysians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to an increase of 658.9 Malaysians.
Zimbabwean Integration in Malaysian Communities

Zimbabwean vs Malaysian Income

When considering income, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in per capita income ($45,804 compared to $39,194, a difference of 16.9%), median family income ($110,011 compared to $95,230, a difference of 15.5%), and householder income over 65 years ($65,854 compared to $58,244, a difference of 13.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,259 compared to $51,615, a difference of 0.69%), wage/income gap (26.3% compared to 25.0%, a difference of 5.1%), and median female earnings ($40,798 compared to $37,298, a difference of 9.4%).
Zimbabwean vs Malaysian Income
Income MetricZimbabweanMalaysian
Per Capita Income
Exceptional
$45,804
Tragic
$39,194
Median Family Income
Exceptional
$110,011
Tragic
$95,230
Median Household Income
Exceptional
$90,618
Tragic
$81,064
Median Earnings
Exceptional
$48,229
Tragic
$43,844
Median Male Earnings
Excellent
$56,302
Tragic
$50,772
Median Female Earnings
Exceptional
$40,798
Tragic
$37,298
Householder Age | Under 25 years
Tragic
$51,259
Poor
$51,615
Householder Age | 25 - 44 years
Exceptional
$98,586
Tragic
$88,291
Householder Age | 45 - 64 years
Exceptional
$106,849
Tragic
$94,517
Householder Age | Over 65 years
Exceptional
$65,854
Tragic
$58,244
Wage/Income Gap
Fair
26.3%
Excellent
25.0%

Zimbabwean vs Malaysian Poverty

When considering poverty, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in receiving food stamps (9.5% compared to 12.7%, a difference of 34.1%), married-couple family poverty (4.1% compared to 5.4%, a difference of 31.2%), and female poverty among 25-34 year olds (11.7% compared to 14.7%, a difference of 26.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.4% compared to 19.9%, a difference of 2.9%), single male poverty (13.1% compared to 12.6%, a difference of 3.8%), and single father poverty (15.6% compared to 14.9%, a difference of 4.3%).
Zimbabwean vs Malaysian Poverty
Poverty MetricZimbabweanMalaysian
Poverty
Exceptional
11.3%
Tragic
13.1%
Families
Exceptional
7.8%
Poor
9.6%
Males
Exceptional
10.2%
Tragic
12.0%
Females
Exceptional
12.3%
Tragic
14.3%
Females 18 to 24 years
Fair
20.4%
Good
19.9%
Females 25 to 34 years
Exceptional
11.7%
Tragic
14.7%
Children Under 5 years
Exceptional
15.2%
Tragic
18.4%
Children Under 16 years
Exceptional
14.2%
Tragic
17.5%
Boys Under 16 years
Exceptional
14.3%
Tragic
17.6%
Girls Under 16 years
Exceptional
14.4%
Tragic
17.8%
Single Males
Poor
13.1%
Good
12.6%
Single Females
Exceptional
19.5%
Tragic
22.2%
Single Fathers
Exceptional
15.6%
Exceptional
14.9%
Single Mothers
Exceptional
27.9%
Poor
29.7%
Married Couples
Exceptional
4.1%
Fair
5.4%
Seniors Over 65 years
Exceptional
9.6%
Good
10.8%
Seniors Over 75 years
Exceptional
11.2%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.5%
Tragic
12.7%

Zimbabwean vs Malaysian Unemployment

When considering unemployment, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in unemployment among ages 30 to 34 years (4.8% compared to 5.5%, a difference of 13.6%), unemployment among ages 65 to 74 years (5.9% compared to 5.2%, a difference of 13.5%), and male unemployment (4.8% compared to 5.3%, a difference of 11.5%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.6% compared to 8.6%, a difference of 1.0%), unemployment among seniors over 75 years (8.7% compared to 8.9%, a difference of 2.4%), and unemployment among ages 25 to 29 years (6.4% compared to 6.6%, a difference of 3.1%).
Zimbabwean vs Malaysian Unemployment
Unemployment MetricZimbabweanMalaysian
Unemployment
Exceptional
4.8%
Average
5.3%
Males
Exceptional
4.8%
Fair
5.3%
Females
Exceptional
4.8%
Average
5.3%
Youth < 25
Exceptional
10.2%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
15.4%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.2%
Exceptional
9.8%
Age | 25 to 29 years
Exceptional
6.4%
Good
6.6%
Age | 30 to 34 years
Exceptional
4.8%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Fair
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.2%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.5%
Exceptional
4.7%
Age | 65 to 74 years
Tragic
5.9%
Exceptional
5.2%
Seniors > 65
Tragic
5.6%
Exceptional
5.1%
Seniors > 75
Average
8.7%
Poor
8.9%
Women w/ Children < 6
Exceptional
7.3%
Fair
7.7%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
5.1%
Fair
5.5%

Zimbabwean vs Malaysian Labor Participation

When considering labor participation, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in in labor force | age 35-44 (86.1% compared to 83.8%, a difference of 2.8%), in labor force | age 16-19 (38.7% compared to 39.7%, a difference of 2.6%), and in labor force | age 45-54 (84.0% compared to 82.0%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.6%, a difference of 0.14%), in labor force | age > 16 (67.3% compared to 66.1%, a difference of 1.8%), and in labor force | age 30-34 (85.6% compared to 84.1%, a difference of 1.8%).
Zimbabwean vs Malaysian Labor Participation
Labor Participation MetricZimbabweanMalaysian
In Labor Force | Age > 16
Exceptional
67.3%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
81.0%
Fair
79.5%
In Labor Force | Age 16-19
Exceptional
38.7%
Exceptional
39.7%
In Labor Force | Age 20-24
Excellent
75.6%
Exceptional
77.2%
In Labor Force | Age 25-29
Fair
84.5%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
84.1%
In Labor Force | Age 35-44
Exceptional
86.1%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
84.0%
Tragic
82.0%

Zimbabwean vs Malaysian Family Structure

When considering family structure, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in single father households (2.2% compared to 2.7%, a difference of 23.5%), single mother households (6.1% compared to 7.3%, a difference of 20.5%), and births to unmarried women (28.7% compared to 33.9%, a difference of 18.1%). Conversely, both communities are more comparable in terms of married-couple households (47.4% compared to 46.3%, a difference of 2.3%), currently married (47.0% compared to 45.9%, a difference of 2.4%), and family households (64.1% compared to 65.9%, a difference of 2.8%).
Zimbabwean vs Malaysian Family Structure
Family Structure MetricZimbabweanMalaysian
Family Households
Fair
64.1%
Exceptional
65.9%
Family Households with Children
Exceptional
27.9%
Exceptional
29.8%
Married-couple Households
Excellent
47.4%
Average
46.3%
Average Family Size
Poor
3.20
Exceptional
3.31
Single Father Households
Exceptional
2.2%
Tragic
2.7%
Single Mother Households
Excellent
6.1%
Tragic
7.3%
Currently Married
Good
47.0%
Poor
45.9%
Divorced or Separated
Exceptional
11.6%
Tragic
12.4%
Births to Unmarried Women
Exceptional
28.7%
Tragic
33.9%

Zimbabwean vs Malaysian Vehicle Availability

When considering vehicle availability, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.7%, a difference of 19.0%), no vehicles in household (9.0% compared to 7.7%, a difference of 17.3%), and 3 or more vehicles in household (20.3% compared to 22.6%, a difference of 11.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 92.3%, a difference of 1.4%), 2 or more vehicles in household (57.2% compared to 59.8%, a difference of 4.6%), and 3 or more vehicles in household (20.3% compared to 22.6%, a difference of 11.7%).
Zimbabwean vs Malaysian Vehicle Availability
Vehicle Availability MetricZimbabweanMalaysian
No Vehicles Available
Exceptional
9.0%
Exceptional
7.7%
1+ Vehicles Available
Exceptional
91.0%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
57.2%
Exceptional
59.8%
3+ Vehicles Available
Excellent
20.3%
Exceptional
22.6%
4+ Vehicles Available
Good
6.4%
Exceptional
7.7%

Zimbabwean vs Malaysian Education Level

When considering education level, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in no schooling completed (1.7% compared to 2.8%, a difference of 60.1%), doctorate degree (2.3% compared to 1.5%, a difference of 56.1%), and professional degree (5.2% compared to 3.4%, a difference of 53.2%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.3%, a difference of 1.1%), kindergarten (98.3% compared to 97.2%, a difference of 1.1%), and 1st grade (98.3% compared to 97.2%, a difference of 1.1%).
Zimbabwean vs Malaysian Education Level
Education Level MetricZimbabweanMalaysian
No Schooling Completed
Exceptional
1.7%
Tragic
2.8%
Nursery School
Exceptional
98.3%
Tragic
97.3%
Kindergarten
Exceptional
98.3%
Tragic
97.2%
1st Grade
Exceptional
98.3%
Tragic
97.2%
2nd Grade
Exceptional
98.2%
Tragic
97.1%
3rd Grade
Exceptional
98.1%
Tragic
97.0%
4th Grade
Exceptional
97.9%
Tragic
96.7%
5th Grade
Exceptional
97.8%
Tragic
96.5%
6th Grade
Exceptional
97.6%
Tragic
96.2%
7th Grade
Exceptional
96.8%
Tragic
94.8%
8th Grade
Exceptional
96.5%
Tragic
94.5%
9th Grade
Exceptional
95.9%
Tragic
93.5%
10th Grade
Exceptional
94.9%
Tragic
92.2%
11th Grade
Exceptional
93.9%
Tragic
90.8%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
89.2%
High School Diploma
Exceptional
91.1%
Tragic
87.0%
GED/Equivalency
Exceptional
88.0%
Tragic
83.3%
College, Under 1 year
Exceptional
69.9%
Tragic
62.2%
College, 1 year or more
Exceptional
64.2%
Tragic
55.6%
Associate's Degree
Exceptional
51.3%
Tragic
41.6%
Bachelor's Degree
Exceptional
43.3%
Tragic
32.9%
Master's Degree
Exceptional
17.7%
Tragic
12.0%
Professional Degree
Exceptional
5.2%
Tragic
3.4%
Doctorate Degree
Exceptional
2.3%
Tragic
1.5%

Zimbabwean vs Malaysian Disability

When considering disability, the most significant differences between Zimbabwean and Malaysian communities in the United States are seen in disability age 35 to 64 (10.4% compared to 12.5%, a difference of 19.4%), vision disability (2.0% compared to 2.3%, a difference of 18.5%), and self-care disability (2.2% compared to 2.5%, a difference of 18.1%). Conversely, both communities are more comparable in terms of cognitive disability (17.6% compared to 17.9%, a difference of 1.6%), disability age over 75 (48.1% compared to 49.0%, a difference of 2.0%), and disability age 5 to 17 (5.5% compared to 5.8%, a difference of 5.1%).
Zimbabwean vs Malaysian Disability
Disability MetricZimbabweanMalaysian
Disability
Exceptional
10.9%
Tragic
12.2%
Males
Exceptional
10.6%
Tragic
11.8%
Females
Exceptional
11.3%
Tragic
12.5%
Age | Under 5 years
Exceptional
1.2%
Poor
1.3%
Age | 5 to 17 years
Good
5.5%
Tragic
5.8%
Age | 18 to 34 years
Good
6.5%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
10.4%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
21.5%
Tragic
25.4%
Age | Over 75 years
Tragic
48.1%
Tragic
49.0%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Excellent
2.8%
Tragic
3.2%
Cognitive
Tragic
17.6%
Tragic
17.9%
Ambulatory
Exceptional
5.4%
Fair
6.2%
Self-Care
Exceptional
2.2%
Tragic
2.5%