Latvian vs Malaysian Community Comparison

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Latvian
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Latvians

Malaysians

Exceptional
Fair
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK
3,136
SOCIAL INDEX
28.9/ 100
SOCIAL RATING
232nd/ 347
SOCIAL RANK

Malaysian Integration in Latvian Communities

The statistical analysis conducted on geographies consisting of 132,297,527 people shows a slight positive correlation between the proportion of Malaysians within Latvian communities in the United States with a correlation coefficient (R) of 0.077. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.018% in Malaysians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 18.5 Malaysians.
Latvian Integration in Malaysian Communities

Latvian vs Malaysian Income

When considering income, the most significant differences between Latvian and Malaysian communities in the United States are seen in per capita income ($52,649 compared to $39,194, a difference of 34.3%), median family income ($120,301 compared to $95,230, a difference of 26.3%), and median male earnings ($63,498 compared to $50,772, a difference of 25.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,783 compared to $51,615, a difference of 2.3%), wage/income gap (27.9% compared to 25.0%, a difference of 11.3%), and householder income over 65 years ($67,326 compared to $58,244, a difference of 15.6%).
Latvian vs Malaysian Income
Income MetricLatvianMalaysian
Per Capita Income
Exceptional
$52,649
Tragic
$39,194
Median Family Income
Exceptional
$120,301
Tragic
$95,230
Median Household Income
Exceptional
$97,311
Tragic
$81,064
Median Earnings
Exceptional
$53,001
Tragic
$43,844
Median Male Earnings
Exceptional
$63,498
Tragic
$50,772
Median Female Earnings
Exceptional
$43,941
Tragic
$37,298
Householder Age | Under 25 years
Excellent
$52,783
Poor
$51,615
Householder Age | 25 - 44 years
Exceptional
$108,926
Tragic
$88,291
Householder Age | 45 - 64 years
Exceptional
$115,957
Tragic
$94,517
Householder Age | Over 65 years
Exceptional
$67,326
Tragic
$58,244
Wage/Income Gap
Tragic
27.9%
Excellent
25.0%

Latvian vs Malaysian Poverty

When considering poverty, the most significant differences between Latvian and Malaysian communities in the United States are seen in receiving food stamps (9.1% compared to 12.7%, a difference of 39.4%), married-couple family poverty (3.9% compared to 5.4%, a difference of 37.2%), and family poverty (7.1% compared to 9.6%, a difference of 36.1%). Conversely, both communities are more comparable in terms of single male poverty (12.7% compared to 12.6%, a difference of 0.45%), female poverty among 18-24 year olds (19.5% compared to 19.9%, a difference of 2.0%), and seniors poverty over the age of 75 (10.8% compared to 11.8%, a difference of 8.8%).
Latvian vs Malaysian Poverty
Poverty MetricLatvianMalaysian
Poverty
Exceptional
10.5%
Tragic
13.1%
Families
Exceptional
7.1%
Poor
9.6%
Males
Exceptional
9.6%
Tragic
12.0%
Females
Exceptional
11.4%
Tragic
14.3%
Females 18 to 24 years
Exceptional
19.5%
Good
19.9%
Females 25 to 34 years
Exceptional
11.8%
Tragic
14.7%
Children Under 5 years
Exceptional
14.5%
Tragic
18.4%
Children Under 16 years
Exceptional
13.2%
Tragic
17.5%
Boys Under 16 years
Exceptional
13.4%
Tragic
17.6%
Girls Under 16 years
Exceptional
13.5%
Tragic
17.8%
Single Males
Good
12.7%
Good
12.6%
Single Females
Exceptional
19.0%
Tragic
22.2%
Single Fathers
Fair
16.5%
Exceptional
14.9%
Single Mothers
Exceptional
26.9%
Poor
29.7%
Married Couples
Exceptional
3.9%
Fair
5.4%
Seniors Over 65 years
Exceptional
9.5%
Good
10.8%
Seniors Over 75 years
Exceptional
10.8%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.1%
Tragic
12.7%

Latvian vs Malaysian Unemployment

When considering unemployment, the most significant differences between Latvian and Malaysian communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 7.7%, a difference of 14.5%), unemployment among ages 35 to 44 years (4.2% compared to 4.7%, a difference of 13.3%), and female unemployment (4.7% compared to 5.3%, a difference of 13.0%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.6% compared to 4.7%, a difference of 0.36%), unemployment among women with children ages 6 to 17 years (8.6% compared to 8.6%, a difference of 0.61%), and unemployment among ages 20 to 24 years (9.9% compared to 9.8%, a difference of 1.3%).
Latvian vs Malaysian Unemployment
Unemployment MetricLatvianMalaysian
Unemployment
Exceptional
4.7%
Average
5.3%
Males
Exceptional
4.8%
Fair
5.3%
Females
Exceptional
4.7%
Average
5.3%
Youth < 25
Exceptional
11.0%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
9.8%
Age | 25 to 29 years
Exceptional
6.2%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.2%
Fair
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.7%
Age | 60 to 64 years
Good
4.8%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
5.1%
Exceptional
5.2%
Seniors > 65
Exceptional
4.9%
Exceptional
5.1%
Seniors > 75
Excellent
8.6%
Poor
8.9%
Women w/ Children < 6
Exceptional
6.8%
Fair
7.7%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.9%
Fair
5.5%

Latvian vs Malaysian Labor Participation

When considering labor participation, the most significant differences between Latvian and Malaysian communities in the United States are seen in in labor force | age 30-34 (86.0% compared to 84.1%, a difference of 2.3%), in labor force | age 16-19 (38.9% compared to 39.7%, a difference of 2.2%), and in labor force | age 45-54 (83.8% compared to 82.0%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 66.1%, a difference of 0.91%), in labor force | age 20-64 (80.5% compared to 79.5%, a difference of 1.3%), and in labor force | age 20-24 (76.1% compared to 77.2%, a difference of 1.5%).
Latvian vs Malaysian Labor Participation
Labor Participation MetricLatvianMalaysian
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
80.5%
Fair
79.5%
In Labor Force | Age 16-19
Exceptional
38.9%
Exceptional
39.7%
In Labor Force | Age 20-24
Exceptional
76.1%
Exceptional
77.2%
In Labor Force | Age 25-29
Exceptional
86.1%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
86.0%
Tragic
84.1%
In Labor Force | Age 35-44
Exceptional
85.4%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
83.8%
Tragic
82.0%

Latvian vs Malaysian Family Structure

When considering family structure, the most significant differences between Latvian and Malaysian communities in the United States are seen in single mother households (5.3% compared to 7.3%, a difference of 38.3%), single father households (2.0% compared to 2.7%, a difference of 36.1%), and births to unmarried women (27.7% compared to 33.9%, a difference of 22.2%). Conversely, both communities are more comparable in terms of married-couple households (47.9% compared to 46.3%, a difference of 3.4%), family households (62.8% compared to 65.9%, a difference of 5.0%), and currently married (48.5% compared to 45.9%, a difference of 5.6%).
Latvian vs Malaysian Family Structure
Family Structure MetricLatvianMalaysian
Family Households
Tragic
62.8%
Exceptional
65.9%
Family Households with Children
Tragic
26.4%
Exceptional
29.8%
Married-couple Households
Exceptional
47.9%
Average
46.3%
Average Family Size
Tragic
3.11
Exceptional
3.31
Single Father Households
Exceptional
2.0%
Tragic
2.7%
Single Mother Households
Exceptional
5.3%
Tragic
7.3%
Currently Married
Exceptional
48.5%
Poor
45.9%
Divorced or Separated
Exceptional
11.6%
Tragic
12.4%
Births to Unmarried Women
Exceptional
27.7%
Tragic
33.9%

Latvian vs Malaysian Vehicle Availability

When considering vehicle availability, the most significant differences between Latvian and Malaysian communities in the United States are seen in no vehicles in household (9.8% compared to 7.7%, a difference of 27.0%), 4 or more vehicles in household (6.1% compared to 7.7%, a difference of 25.2%), and 3 or more vehicles in household (19.3% compared to 22.6%, a difference of 17.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 92.3%, a difference of 2.2%), 2 or more vehicles in household (56.2% compared to 59.8%, a difference of 6.4%), and 3 or more vehicles in household (19.3% compared to 22.6%, a difference of 17.3%).
Latvian vs Malaysian Vehicle Availability
Vehicle Availability MetricLatvianMalaysian
No Vehicles Available
Excellent
9.8%
Exceptional
7.7%
1+ Vehicles Available
Excellent
90.3%
Exceptional
92.3%
2+ Vehicles Available
Excellent
56.2%
Exceptional
59.8%
3+ Vehicles Available
Fair
19.3%
Exceptional
22.6%
4+ Vehicles Available
Fair
6.1%
Exceptional
7.7%

Latvian vs Malaysian Education Level

When considering education level, the most significant differences between Latvian and Malaysian communities in the United States are seen in professional degree (6.2% compared to 3.4%, a difference of 84.0%), no schooling completed (1.5% compared to 2.8%, a difference of 79.4%), and doctorate degree (2.6% compared to 1.5%, a difference of 77.0%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.3%, a difference of 1.3%), kindergarten (98.5% compared to 97.2%, a difference of 1.3%), and 1st grade (98.5% compared to 97.2%, a difference of 1.3%).
Latvian vs Malaysian Education Level
Education Level MetricLatvianMalaysian
No Schooling Completed
Exceptional
1.5%
Tragic
2.8%
Nursery School
Exceptional
98.5%
Tragic
97.3%
Kindergarten
Exceptional
98.5%
Tragic
97.2%
1st Grade
Exceptional
98.5%
Tragic
97.2%
2nd Grade
Exceptional
98.4%
Tragic
97.1%
3rd Grade
Exceptional
98.4%
Tragic
97.0%
4th Grade
Exceptional
98.2%
Tragic
96.7%
5th Grade
Exceptional
98.1%
Tragic
96.5%
6th Grade
Exceptional
97.9%
Tragic
96.2%
7th Grade
Exceptional
97.2%
Tragic
94.8%
8th Grade
Exceptional
97.0%
Tragic
94.5%
9th Grade
Exceptional
96.4%
Tragic
93.5%
10th Grade
Exceptional
95.6%
Tragic
92.2%
11th Grade
Exceptional
94.7%
Tragic
90.8%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
89.2%
High School Diploma
Exceptional
92.0%
Tragic
87.0%
GED/Equivalency
Exceptional
89.2%
Tragic
83.3%
College, Under 1 year
Exceptional
71.6%
Tragic
62.2%
College, 1 year or more
Exceptional
66.1%
Tragic
55.6%
Associate's Degree
Exceptional
53.9%
Tragic
41.6%
Bachelor's Degree
Exceptional
46.1%
Tragic
32.9%
Master's Degree
Exceptional
19.8%
Tragic
12.0%
Professional Degree
Exceptional
6.2%
Tragic
3.4%
Doctorate Degree
Exceptional
2.6%
Tragic
1.5%

Latvian vs Malaysian Disability

When considering disability, the most significant differences between Latvian and Malaysian communities in the United States are seen in disability age 35 to 64 (10.2% compared to 12.5%, a difference of 22.7%), disability age 65 to 74 (21.2% compared to 25.4%, a difference of 19.7%), and vision disability (2.0% compared to 2.3%, a difference of 17.2%). Conversely, both communities are more comparable in terms of hearing disability (3.2% compared to 3.2%, a difference of 0.62%), disability age under 5 (1.3% compared to 1.3%, a difference of 1.5%), and disability age 18 to 34 (6.8% compared to 7.2%, a difference of 4.8%).
Latvian vs Malaysian Disability
Disability MetricLatvianMalaysian
Disability
Excellent
11.4%
Tragic
12.2%
Males
Good
11.1%
Tragic
11.8%
Females
Exceptional
11.7%
Tragic
12.5%
Age | Under 5 years
Tragic
1.3%
Poor
1.3%
Age | 5 to 17 years
Exceptional
5.4%
Tragic
5.8%
Age | 18 to 34 years
Poor
6.8%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
10.2%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
21.2%
Tragic
25.4%
Age | Over 75 years
Exceptional
45.1%
Tragic
49.0%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Tragic
3.2%
Tragic
3.2%
Cognitive
Exceptional
16.6%
Tragic
17.9%
Ambulatory
Exceptional
5.7%
Fair
6.2%
Self-Care
Exceptional
2.3%
Tragic
2.5%