Indian (Asian) vs Latvian Community Comparison

COMPARE

Indian (Asian)
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
Latvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indians (Asian)

Latvians

Good
Exceptional
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK

Latvian Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 216,405,769 people shows a poor negative correlation between the proportion of Latvians within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.183. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Latvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.6 Latvians.
Indian (Asian) Integration in Latvian Communities

Indian (Asian) vs Latvian Income

When considering income, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in householder income under 25 years ($58,239 compared to $52,783, a difference of 10.3%), householder income ages 25 - 44 years ($119,496 compared to $108,926, a difference of 9.7%), and median household income ($105,262 compared to $97,311, a difference of 8.2%). Conversely, both communities are more comparable in terms of per capita income ($53,874 compared to $52,649, a difference of 2.3%), median male earnings ($66,078 compared to $63,498, a difference of 4.1%), and median family income ($125,312 compared to $120,301, a difference of 4.2%).
Indian (Asian) vs Latvian Income
Income MetricIndian (Asian)Latvian
Per Capita Income
Exceptional
$53,874
Exceptional
$52,649
Median Family Income
Exceptional
$125,312
Exceptional
$120,301
Median Household Income
Exceptional
$105,262
Exceptional
$97,311
Median Earnings
Exceptional
$56,253
Exceptional
$53,001
Median Male Earnings
Exceptional
$66,078
Exceptional
$63,498
Median Female Earnings
Exceptional
$46,481
Exceptional
$43,941
Householder Age | Under 25 years
Exceptional
$58,239
Excellent
$52,783
Householder Age | 25 - 44 years
Exceptional
$119,496
Exceptional
$108,926
Householder Age | 45 - 64 years
Exceptional
$122,343
Exceptional
$115,957
Householder Age | Over 65 years
Exceptional
$70,238
Exceptional
$67,326
Wage/Income Gap
Poor
26.4%
Tragic
27.9%

Indian (Asian) vs Latvian Poverty

When considering poverty, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in married-couple family poverty (4.8% compared to 3.9%, a difference of 23.7%), seniors poverty over the age of 75 (12.7% compared to 10.8%, a difference of 17.7%), and seniors poverty over the age of 65 (11.1% compared to 9.5%, a difference of 17.3%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (13.1% compared to 13.2%, a difference of 0.21%), female poverty among 18-24 year olds (19.6% compared to 19.5%, a difference of 0.65%), and child poverty among boys under 16 (13.3% compared to 13.4%, a difference of 0.76%).
Indian (Asian) vs Latvian Poverty
Poverty MetricIndian (Asian)Latvian
Poverty
Exceptional
11.3%
Exceptional
10.5%
Families
Exceptional
7.7%
Exceptional
7.1%
Males
Exceptional
10.4%
Exceptional
9.6%
Females
Exceptional
12.2%
Exceptional
11.4%
Females 18 to 24 years
Excellent
19.6%
Exceptional
19.5%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
11.8%
Children Under 5 years
Exceptional
13.4%
Exceptional
14.5%
Children Under 16 years
Exceptional
13.1%
Exceptional
13.2%
Boys Under 16 years
Exceptional
13.3%
Exceptional
13.4%
Girls Under 16 years
Exceptional
13.3%
Exceptional
13.5%
Single Males
Exceptional
11.3%
Good
12.7%
Single Females
Exceptional
17.9%
Exceptional
19.0%
Single Fathers
Exceptional
14.8%
Fair
16.5%
Single Mothers
Exceptional
25.8%
Exceptional
26.9%
Married Couples
Exceptional
4.8%
Exceptional
3.9%
Seniors Over 65 years
Fair
11.1%
Exceptional
9.5%
Seniors Over 75 years
Tragic
12.7%
Exceptional
10.8%
Receiving Food Stamps
Exceptional
9.6%
Exceptional
9.1%

Indian (Asian) vs Latvian Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 8.6%, a difference of 11.4%), female unemployment (5.1% compared to 4.7%, a difference of 9.5%), and unemployment (5.1% compared to 4.7%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.80%), unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 1.3%), and unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 2.7%).
Indian (Asian) vs Latvian Unemployment
Unemployment MetricIndian (Asian)Latvian
Unemployment
Excellent
5.1%
Exceptional
4.7%
Males
Good
5.2%
Exceptional
4.8%
Females
Excellent
5.1%
Exceptional
4.7%
Youth < 25
Good
11.5%
Exceptional
11.0%
Age | 16 to 19 years
Good
17.3%
Exceptional
16.7%
Age | 20 to 24 years
Good
10.3%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.0%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.2%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
4.9%
Exceptional
4.6%
Age | 60 to 64 years
Tragic
5.0%
Good
4.8%
Age | 65 to 74 years
Average
5.3%
Exceptional
5.1%
Seniors > 65
Average
5.2%
Exceptional
4.9%
Seniors > 75
Exceptional
8.0%
Excellent
8.6%
Women w/ Children < 6
Exceptional
6.3%
Exceptional
6.8%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Indian (Asian) vs Latvian Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.9%, a difference of 22.0%), in labor force | age 20-24 (71.9% compared to 76.1%, a difference of 5.8%), and in labor force | age 25-29 (84.7% compared to 86.1%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.5%, a difference of 0.0%), in labor force | age 45-54 (83.3% compared to 83.8%, a difference of 0.57%), and in labor force | age 35-44 (84.8% compared to 85.4%, a difference of 0.67%).
Indian (Asian) vs Latvian Labor Participation
Labor Participation MetricIndian (Asian)Latvian
In Labor Force | Age > 16
Excellent
65.5%
Excellent
65.5%
In Labor Force | Age 20-64
Excellent
79.9%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
31.9%
Exceptional
38.9%
In Labor Force | Age 20-24
Tragic
71.9%
Exceptional
76.1%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
86.1%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
86.0%
In Labor Force | Age 35-44
Exceptional
84.8%
Exceptional
85.4%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.8%

Indian (Asian) vs Latvian Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in divorced or separated (10.2% compared to 11.6%, a difference of 13.8%), births to unmarried women (25.3% compared to 27.7%, a difference of 9.7%), and single father households (1.9% compared to 2.0%, a difference of 5.2%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 48.5%, a difference of 1.1%), married-couple households (48.7% compared to 47.9%, a difference of 1.7%), and single mother households (5.1% compared to 5.3%, a difference of 3.5%).
Indian (Asian) vs Latvian Family Structure
Family Structure MetricIndian (Asian)Latvian
Family Households
Exceptional
65.1%
Tragic
62.8%
Family Households with Children
Good
27.6%
Tragic
26.4%
Married-couple Households
Exceptional
48.7%
Exceptional
47.9%
Average Family Size
Good
3.24
Tragic
3.11
Single Father Households
Exceptional
1.9%
Exceptional
2.0%
Single Mother Households
Exceptional
5.1%
Exceptional
5.3%
Currently Married
Exceptional
48.0%
Exceptional
48.5%
Divorced or Separated
Exceptional
10.2%
Exceptional
11.6%
Births to Unmarried Women
Exceptional
25.3%
Exceptional
27.7%

Indian (Asian) vs Latvian Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in no vehicles in household (14.1% compared to 9.8%, a difference of 43.6%), 2 or more vehicles in household (53.1% compared to 56.2%, a difference of 5.9%), and 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 5.1%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.3%, a difference of 0.88%), 1 or more vehicles in household (86.0% compared to 90.3%, a difference of 5.0%), and 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 5.1%).
Indian (Asian) vs Latvian Vehicle Availability
Vehicle Availability MetricIndian (Asian)Latvian
No Vehicles Available
Tragic
14.1%
Excellent
9.8%
1+ Vehicles Available
Tragic
86.0%
Excellent
90.3%
2+ Vehicles Available
Tragic
53.1%
Excellent
56.2%
3+ Vehicles Available
Fair
19.1%
Fair
19.3%
4+ Vehicles Available
Good
6.4%
Fair
6.1%

Indian (Asian) vs Latvian Education Level

When considering education level, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 60.5%), doctorate degree (2.9% compared to 2.6%, a difference of 12.9%), and professional degree (6.5% compared to 6.2%, a difference of 4.4%). Conversely, both communities are more comparable in terms of college, 1 year or more (66.1% compared to 66.1%, a difference of 0.040%), nursery school (97.6% compared to 98.5%, a difference of 0.91%), and kindergarten (97.6% compared to 98.5%, a difference of 0.91%).
Indian (Asian) vs Latvian Education Level
Education Level MetricIndian (Asian)Latvian
No Schooling Completed
Tragic
2.5%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.5%
Kindergarten
Tragic
97.6%
Exceptional
98.5%
1st Grade
Tragic
97.5%
Exceptional
98.5%
2nd Grade
Tragic
97.5%
Exceptional
98.4%
3rd Grade
Tragic
97.4%
Exceptional
98.4%
4th Grade
Tragic
97.2%
Exceptional
98.2%
5th Grade
Tragic
96.9%
Exceptional
98.1%
6th Grade
Tragic
96.6%
Exceptional
97.9%
7th Grade
Tragic
95.5%
Exceptional
97.2%
8th Grade
Tragic
95.2%
Exceptional
97.0%
9th Grade
Tragic
94.5%
Exceptional
96.4%
10th Grade
Poor
93.4%
Exceptional
95.6%
11th Grade
Average
92.5%
Exceptional
94.7%
12th Grade, No Diploma
Good
91.5%
Exceptional
93.6%
High School Diploma
Good
89.6%
Exceptional
92.0%
GED/Equivalency
Exceptional
87.1%
Exceptional
89.2%
College, Under 1 year
Exceptional
70.8%
Exceptional
71.6%
College, 1 year or more
Exceptional
66.1%
Exceptional
66.1%
Associate's Degree
Exceptional
54.8%
Exceptional
53.9%
Bachelor's Degree
Exceptional
47.4%
Exceptional
46.1%
Master's Degree
Exceptional
20.5%
Exceptional
19.8%
Professional Degree
Exceptional
6.5%
Exceptional
6.2%
Doctorate Degree
Exceptional
2.9%
Exceptional
2.6%

Indian (Asian) vs Latvian Disability

When considering disability, the most significant differences between Indian (Asian) and Latvian communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 30.9%), disability age 18 to 34 (5.5% compared to 6.8%, a difference of 23.2%), and hearing disability (2.7% compared to 3.2%, a difference of 18.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.6%, a difference of 1.2%), self-care disability (2.3% compared to 2.3%, a difference of 1.9%), and disability age over 75 (46.5% compared to 45.1%, a difference of 3.1%).
Indian (Asian) vs Latvian Disability
Disability MetricIndian (Asian)Latvian
Disability
Exceptional
10.3%
Excellent
11.4%
Males
Exceptional
9.7%
Good
11.1%
Females
Exceptional
10.8%
Exceptional
11.7%
Age | Under 5 years
Exceptional
1.0%
Tragic
1.3%
Age | 5 to 17 years
Exceptional
4.6%
Exceptional
5.4%
Age | 18 to 34 years
Exceptional
5.5%
Poor
6.8%
Age | 35 to 64 years
Exceptional
8.9%
Exceptional
10.2%
Age | 65 to 74 years
Exceptional
20.5%
Exceptional
21.2%
Age | Over 75 years
Exceptional
46.5%
Exceptional
45.1%
Vision
Exceptional
1.8%
Exceptional
2.0%
Hearing
Exceptional
2.7%
Tragic
3.2%
Cognitive
Exceptional
16.8%
Exceptional
16.6%
Ambulatory
Exceptional
5.4%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.3%