Malaysian vs Zimbabwean Community Comparison

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Malaysian
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 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Malaysians

Zimbabweans

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

Zimbabwean Integration in Malaysian Communities

The statistical analysis conducted on geographies consisting of 56,527,771 people shows a significant positive correlation between the proportion of Zimbabweans within Malaysian communities in the United States with a correlation coefficient (R) of 0.633. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is an increase of 0.598% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Malaysians corresponds to an increase of 598.2 Zimbabweans.
Malaysian Integration in Zimbabwean Communities

Malaysian vs Zimbabwean Income

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

Malaysian vs Zimbabwean Poverty

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

Malaysian vs Zimbabwean Unemployment

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

Malaysian vs Zimbabwean Labor Participation

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

Malaysian vs Zimbabwean Family Structure

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

Malaysian vs Zimbabwean Vehicle Availability

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

Malaysian vs Zimbabwean Education Level

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

Malaysian vs Zimbabwean Disability

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