Latvian vs Burmese Community Comparison

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Latvian
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)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

Burmese

Exceptional
Exceptional
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Latvian Communities

The statistical analysis conducted on geographies consisting of 211,585,409 people shows a substantial positive correlation between the proportion of Burmese within Latvian communities in the United States with a correlation coefficient (R) of 0.558. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.994% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 994.1 Burmese.
Latvian Integration in Burmese Communities

Latvian vs Burmese Income

When considering income, the most significant differences between Latvian and Burmese communities in the United States are seen in median household income ($97,311 compared to $103,145, a difference of 6.0%), householder income over 65 years ($67,326 compared to $71,139, a difference of 5.7%), and householder income ages 45 - 64 years ($115,957 compared to $121,444, a difference of 4.7%). Conversely, both communities are more comparable in terms of wage/income gap (27.9% compared to 28.0%, a difference of 0.51%), per capita income ($52,649 compared to $52,005, a difference of 1.2%), and median female earnings ($43,941 compared to $44,911, a difference of 2.2%).
Latvian vs Burmese Income
Income MetricLatvianBurmese
Per Capita Income
Exceptional
$52,649
Exceptional
$52,005
Median Family Income
Exceptional
$120,301
Exceptional
$123,369
Median Household Income
Exceptional
$97,311
Exceptional
$103,145
Median Earnings
Exceptional
$53,001
Exceptional
$54,559
Median Male Earnings
Exceptional
$63,498
Exceptional
$65,236
Median Female Earnings
Exceptional
$43,941
Exceptional
$44,911
Householder Age | Under 25 years
Excellent
$52,783
Exceptional
$54,800
Householder Age | 25 - 44 years
Exceptional
$108,926
Exceptional
$113,701
Householder Age | 45 - 64 years
Exceptional
$115,957
Exceptional
$121,444
Householder Age | Over 65 years
Exceptional
$67,326
Exceptional
$71,139
Wage/Income Gap
Tragic
27.9%
Tragic
28.0%

Latvian vs Burmese Poverty

When considering poverty, the most significant differences between Latvian and Burmese communities in the United States are seen in married-couple family poverty (3.9% compared to 4.3%, a difference of 10.8%), child poverty under the age of 5 (14.5% compared to 13.2%, a difference of 9.6%), and single male poverty (12.7% compared to 11.7%, a difference of 8.1%). Conversely, both communities are more comparable in terms of male poverty (9.6% compared to 9.7%, a difference of 1.2%), poverty (10.5% compared to 10.7%, a difference of 1.4%), and female poverty (11.4% compared to 11.6%, a difference of 1.5%).
Latvian vs Burmese Poverty
Poverty MetricLatvianBurmese
Poverty
Exceptional
10.5%
Exceptional
10.7%
Families
Exceptional
7.1%
Exceptional
7.3%
Males
Exceptional
9.6%
Exceptional
9.7%
Females
Exceptional
11.4%
Exceptional
11.6%
Females 18 to 24 years
Exceptional
19.5%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
11.8%
Exceptional
11.2%
Children Under 5 years
Exceptional
14.5%
Exceptional
13.2%
Children Under 16 years
Exceptional
13.2%
Exceptional
12.8%
Boys Under 16 years
Exceptional
13.4%
Exceptional
13.0%
Girls Under 16 years
Exceptional
13.5%
Exceptional
13.0%
Single Males
Good
12.7%
Exceptional
11.7%
Single Females
Exceptional
19.0%
Exceptional
18.3%
Single Fathers
Fair
16.5%
Exceptional
15.5%
Single Mothers
Exceptional
26.9%
Exceptional
26.2%
Married Couples
Exceptional
3.9%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
9.5%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
10.8%
Excellent
11.7%
Receiving Food Stamps
Exceptional
9.1%
Exceptional
8.6%

Latvian vs Burmese Unemployment

When considering unemployment, the most significant differences between Latvian and Burmese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.6% compared to 8.0%, a difference of 8.1%), female unemployment (4.7% compared to 5.0%, a difference of 7.1%), and unemployment among seniors over 75 years (8.6% compared to 8.2%, a difference of 4.9%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.2% compared to 6.2%, a difference of 0.17%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.24%), and unemployment among ages 45 to 54 years (4.2% compared to 4.2%, a difference of 0.43%).
Latvian vs Burmese Unemployment
Unemployment MetricLatvianBurmese
Unemployment
Exceptional
4.7%
Exceptional
4.9%
Males
Exceptional
4.8%
Exceptional
4.9%
Females
Exceptional
4.7%
Exceptional
5.0%
Youth < 25
Exceptional
11.0%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.9%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.2%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.5%
Age | 60 to 64 years
Good
4.8%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.1%
Exceptional
5.2%
Seniors > 65
Exceptional
4.9%
Exceptional
5.0%
Seniors > 75
Excellent
8.6%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
6.8%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Latvian vs Burmese Labor Participation

When considering labor participation, the most significant differences between Latvian and Burmese communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 34.5%, a difference of 12.7%), in labor force | age 20-24 (76.1% compared to 73.6%, a difference of 3.4%), and in labor force | age 25-29 (86.1% compared to 85.1%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.8% compared to 83.6%, a difference of 0.21%), in labor force | age 20-64 (80.5% compared to 80.3%, a difference of 0.31%), and in labor force | age 35-44 (85.4% compared to 84.7%, a difference of 0.80%).
Latvian vs Burmese Labor Participation
Labor Participation MetricLatvianBurmese
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.5%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.9%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
76.1%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
86.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
86.0%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
85.4%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.8%
Exceptional
83.6%

Latvian vs Burmese Family Structure

When considering family structure, the most significant differences between Latvian and Burmese communities in the United States are seen in divorced or separated (11.6% compared to 10.7%, a difference of 8.3%), family households with children (26.4% compared to 28.5%, a difference of 7.7%), and births to unmarried women (27.7% compared to 26.4%, a difference of 5.2%). Conversely, both communities are more comparable in terms of single mother households (5.3% compared to 5.3%, a difference of 0.060%), currently married (48.5% compared to 48.9%, a difference of 0.98%), and single father households (2.0% compared to 2.0%, a difference of 1.4%).
Latvian vs Burmese Family Structure
Family Structure MetricLatvianBurmese
Family Households
Tragic
62.8%
Exceptional
65.7%
Family Households with Children
Tragic
26.4%
Exceptional
28.5%
Married-couple Households
Exceptional
47.9%
Exceptional
49.8%
Average Family Size
Tragic
3.11
Fair
3.22
Single Father Households
Exceptional
2.0%
Exceptional
2.0%
Single Mother Households
Exceptional
5.3%
Exceptional
5.3%
Currently Married
Exceptional
48.5%
Exceptional
48.9%
Divorced or Separated
Exceptional
11.6%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
27.7%
Exceptional
26.4%

Latvian vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Latvian and Burmese communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 6.8%, a difference of 11.5%), 3 or more vehicles in household (19.3% compared to 20.6%, a difference of 7.1%), and 2 or more vehicles in household (56.2% compared to 57.8%, a difference of 2.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 90.4%, a difference of 0.10%), no vehicles in household (9.8% compared to 9.7%, a difference of 1.2%), and 2 or more vehicles in household (56.2% compared to 57.8%, a difference of 2.8%).
Latvian vs Burmese Vehicle Availability
Vehicle Availability MetricLatvianBurmese
No Vehicles Available
Excellent
9.8%
Excellent
9.7%
1+ Vehicles Available
Excellent
90.3%
Excellent
90.4%
2+ Vehicles Available
Excellent
56.2%
Exceptional
57.8%
3+ Vehicles Available
Fair
19.3%
Exceptional
20.6%
4+ Vehicles Available
Fair
6.1%
Exceptional
6.8%

Latvian vs Burmese Education Level

When considering education level, the most significant differences between Latvian and Burmese communities in the United States are seen in no schooling completed (1.5% compared to 1.9%, a difference of 26.4%), doctorate degree (2.6% compared to 2.6%, a difference of 2.3%), and bachelor's degree (46.1% compared to 46.9%, a difference of 1.7%). Conversely, both communities are more comparable in terms of college, under 1 year (71.6% compared to 71.9%, a difference of 0.40%), nursery school (98.5% compared to 98.1%, a difference of 0.44%), and kindergarten (98.5% compared to 98.1%, a difference of 0.44%).
Latvian vs Burmese Education Level
Education Level MetricLatvianBurmese
No Schooling Completed
Exceptional
1.5%
Excellent
1.9%
Nursery School
Exceptional
98.5%
Excellent
98.1%
Kindergarten
Exceptional
98.5%
Excellent
98.1%
1st Grade
Exceptional
98.5%
Excellent
98.0%
2nd Grade
Exceptional
98.4%
Excellent
98.0%
3rd Grade
Exceptional
98.4%
Good
97.9%
4th Grade
Exceptional
98.2%
Excellent
97.7%
5th Grade
Exceptional
98.1%
Excellent
97.5%
6th Grade
Exceptional
97.9%
Excellent
97.3%
7th Grade
Exceptional
97.2%
Excellent
96.3%
8th Grade
Exceptional
97.0%
Exceptional
96.1%
9th Grade
Exceptional
96.4%
Exceptional
95.4%
10th Grade
Exceptional
95.6%
Exceptional
94.5%
11th Grade
Exceptional
94.7%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
92.6%
High School Diploma
Exceptional
92.0%
Exceptional
90.8%
GED/Equivalency
Exceptional
89.2%
Exceptional
88.3%
College, Under 1 year
Exceptional
71.6%
Exceptional
71.9%
College, 1 year or more
Exceptional
66.1%
Exceptional
66.7%
Associate's Degree
Exceptional
53.9%
Exceptional
54.6%
Bachelor's Degree
Exceptional
46.1%
Exceptional
46.9%
Master's Degree
Exceptional
19.8%
Exceptional
19.7%
Professional Degree
Exceptional
6.2%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.6%

Latvian vs Burmese Disability

When considering disability, the most significant differences between Latvian and Burmese communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 16.9%), hearing disability (3.2% compared to 2.8%, a difference of 14.3%), and disability age 18 to 34 (6.8% compared to 6.0%, a difference of 14.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.16%), self-care disability (2.3% compared to 2.3%, a difference of 1.7%), and disability age over 75 (45.1% compared to 45.9%, a difference of 1.8%).
Latvian vs Burmese Disability
Disability MetricLatvianBurmese
Disability
Excellent
11.4%
Exceptional
10.4%
Males
Good
11.1%
Exceptional
10.0%
Females
Exceptional
11.7%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.4%
Exceptional
4.8%
Age | 18 to 34 years
Poor
6.8%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.2%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
21.2%
Exceptional
20.6%
Age | Over 75 years
Exceptional
45.1%
Exceptional
45.9%
Vision
Exceptional
2.0%
Exceptional
1.8%
Hearing
Tragic
3.2%
Exceptional
2.8%
Cognitive
Exceptional
16.6%
Exceptional
16.7%
Ambulatory
Exceptional
5.7%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%