Latvian vs Bangladeshi Community Comparison

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Latvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape 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
Bangladeshi
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

Bangladeshis

Exceptional
Fair
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Latvian Communities

The statistical analysis conducted on geographies consisting of 93,703,516 people shows a poor positive correlation between the proportion of Bangladeshis within Latvian communities in the United States with a correlation coefficient (R) of 0.106. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.332% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 331.9 Bangladeshis.
Latvian Integration in Bangladeshi Communities

Latvian vs Bangladeshi Income

When considering income, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in per capita income ($52,649 compared to $35,897, a difference of 46.7%), median family income ($120,301 compared to $88,358, a difference of 36.1%), and median male earnings ($63,498 compared to $46,744, a difference of 35.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,783 compared to $47,589, a difference of 10.9%), median female earnings ($43,941 compared to $35,960, a difference of 22.2%), and householder income over 65 years ($67,326 compared to $54,719, a difference of 23.0%).
Latvian vs Bangladeshi Income
Income MetricLatvianBangladeshi
Per Capita Income
Exceptional
$52,649
Tragic
$35,897
Median Family Income
Exceptional
$120,301
Tragic
$88,358
Median Household Income
Exceptional
$97,311
Tragic
$74,112
Median Earnings
Exceptional
$53,001
Tragic
$41,263
Median Male Earnings
Exceptional
$63,498
Tragic
$46,744
Median Female Earnings
Exceptional
$43,941
Tragic
$35,960
Householder Age | Under 25 years
Excellent
$52,783
Tragic
$47,589
Householder Age | 25 - 44 years
Exceptional
$108,926
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$115,957
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$67,326
Tragic
$54,719
Wage/Income Gap
Tragic
27.9%
Exceptional
22.2%

Latvian vs Bangladeshi Poverty

When considering poverty, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in receiving food stamps (9.1% compared to 15.0%, a difference of 65.0%), married-couple family poverty (3.9% compared to 6.0%, a difference of 54.1%), and family poverty (7.1% compared to 10.9%, a difference of 53.9%). Conversely, both communities are more comparable in terms of single male poverty (12.7% compared to 13.3%, a difference of 5.3%), single father poverty (16.5% compared to 15.2%, a difference of 8.4%), and seniors poverty over the age of 75 (10.8% compared to 12.0%, a difference of 10.6%).
Latvian vs Bangladeshi Poverty
Poverty MetricLatvianBangladeshi
Poverty
Exceptional
10.5%
Tragic
14.8%
Families
Exceptional
7.1%
Tragic
10.9%
Males
Exceptional
9.6%
Tragic
13.6%
Females
Exceptional
11.4%
Tragic
16.0%
Females 18 to 24 years
Exceptional
19.5%
Tragic
22.5%
Females 25 to 34 years
Exceptional
11.8%
Tragic
15.9%
Children Under 5 years
Exceptional
14.5%
Tragic
20.6%
Children Under 16 years
Exceptional
13.2%
Tragic
19.9%
Boys Under 16 years
Exceptional
13.4%
Tragic
20.0%
Girls Under 16 years
Exceptional
13.5%
Tragic
20.0%
Single Males
Good
12.7%
Tragic
13.3%
Single Females
Exceptional
19.0%
Tragic
24.2%
Single Fathers
Fair
16.5%
Exceptional
15.2%
Single Mothers
Exceptional
26.9%
Tragic
31.7%
Married Couples
Exceptional
3.9%
Tragic
6.0%
Seniors Over 65 years
Exceptional
9.5%
Fair
11.2%
Seniors Over 75 years
Exceptional
10.8%
Good
12.0%
Receiving Food Stamps
Exceptional
9.1%
Tragic
15.0%

Latvian vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in male unemployment (4.8% compared to 5.7%, a difference of 17.0%), unemployment among women with children ages 6 to 17 years (8.6% compared to 7.4%, a difference of 17.0%), and unemployment (4.7% compared to 5.4%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.9% compared to 10.0%, a difference of 0.39%), unemployment among ages 16 to 19 years (16.7% compared to 16.9%, a difference of 1.3%), and unemployment among ages 55 to 59 years (4.6% compared to 4.7%, a difference of 1.5%).
Latvian vs Bangladeshi Unemployment
Unemployment MetricLatvianBangladeshi
Unemployment
Exceptional
4.7%
Poor
5.4%
Males
Exceptional
4.8%
Tragic
5.7%
Females
Exceptional
4.7%
Good
5.2%
Youth < 25
Exceptional
11.0%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.2%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.2%
Fair
4.8%
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
4.6%
Age | 65 to 74 years
Exceptional
5.1%
Good
5.3%
Seniors > 65
Exceptional
4.9%
Fair
5.2%
Seniors > 75
Excellent
8.6%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.8%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.9%
Good
5.3%

Latvian vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 42.5%, a difference of 9.2%), in labor force | age 45-54 (83.8% compared to 81.3%, a difference of 3.0%), and in labor force | age 20-24 (76.1% compared to 78.1%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.9%, a difference of 0.66%), in labor force | age 25-29 (86.1% compared to 85.1%, a difference of 1.2%), and in labor force | age 35-44 (85.4% compared to 84.1%, a difference of 1.5%).
Latvian vs Bangladeshi Labor Participation
Labor Participation MetricLatvianBangladeshi
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.5%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
38.9%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
76.1%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
86.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
86.0%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.4%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.8%
Tragic
81.3%

Latvian vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in single mother households (5.3% compared to 8.1%, a difference of 54.0%), single father households (2.0% compared to 3.1%, a difference of 53.1%), and births to unmarried women (27.7% compared to 34.4%, a difference of 24.1%). Conversely, both communities are more comparable in terms of family households (62.8% compared to 64.3%, a difference of 2.4%), divorced or separated (11.6% compared to 12.3%, a difference of 5.8%), and average family size (3.11 compared to 3.37, a difference of 8.5%).
Latvian vs Bangladeshi Family Structure
Family Structure MetricLatvianBangladeshi
Family Households
Tragic
62.8%
Average
64.3%
Family Households with Children
Tragic
26.4%
Exceptional
30.1%
Married-couple Households
Exceptional
47.9%
Tragic
43.5%
Average Family Size
Tragic
3.11
Exceptional
3.37
Single Father Households
Exceptional
2.0%
Tragic
3.1%
Single Mother Households
Exceptional
5.3%
Tragic
8.1%
Currently Married
Exceptional
48.5%
Tragic
43.7%
Divorced or Separated
Exceptional
11.6%
Poor
12.3%
Births to Unmarried Women
Exceptional
27.7%
Tragic
34.4%

Latvian vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 7.6%, a difference of 23.4%), 3 or more vehicles in household (19.3% compared to 21.9%, a difference of 13.4%), and no vehicles in household (9.8% compared to 8.7%, a difference of 13.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.4%, a difference of 1.2%), 2 or more vehicles in household (56.2% compared to 58.4%, a difference of 3.9%), and no vehicles in household (9.8% compared to 8.7%, a difference of 13.0%).
Latvian vs Bangladeshi Vehicle Availability
Vehicle Availability MetricLatvianBangladeshi
No Vehicles Available
Excellent
9.8%
Exceptional
8.7%
1+ Vehicles Available
Excellent
90.3%
Exceptional
91.4%
2+ Vehicles Available
Excellent
56.2%
Exceptional
58.4%
3+ Vehicles Available
Fair
19.3%
Exceptional
21.9%
4+ Vehicles Available
Fair
6.1%
Exceptional
7.6%

Latvian vs Bangladeshi Education Level

When considering education level, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in no schooling completed (1.5% compared to 3.5%, a difference of 129.7%), doctorate degree (2.6% compared to 1.2%, a difference of 112.7%), and professional degree (6.2% compared to 3.1%, a difference of 102.1%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 96.6%, a difference of 2.0%), kindergarten (98.5% compared to 96.6%, a difference of 2.0%), and 1st grade (98.5% compared to 96.5%, a difference of 2.0%).
Latvian vs Bangladeshi Education Level
Education Level MetricLatvianBangladeshi
No Schooling Completed
Exceptional
1.5%
Tragic
3.5%
Nursery School
Exceptional
98.5%
Tragic
96.6%
Kindergarten
Exceptional
98.5%
Tragic
96.6%
1st Grade
Exceptional
98.5%
Tragic
96.5%
2nd Grade
Exceptional
98.4%
Tragic
96.5%
3rd Grade
Exceptional
98.4%
Tragic
96.3%
4th Grade
Exceptional
98.2%
Tragic
96.1%
5th Grade
Exceptional
98.1%
Tragic
95.9%
6th Grade
Exceptional
97.9%
Tragic
95.7%
7th Grade
Exceptional
97.2%
Tragic
94.5%
8th Grade
Exceptional
97.0%
Tragic
94.3%
9th Grade
Exceptional
96.4%
Tragic
93.4%
10th Grade
Exceptional
95.6%
Tragic
92.2%
11th Grade
Exceptional
94.7%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
89.3%
High School Diploma
Exceptional
92.0%
Tragic
86.9%
GED/Equivalency
Exceptional
89.2%
Tragic
83.1%
College, Under 1 year
Exceptional
71.6%
Tragic
61.4%
College, 1 year or more
Exceptional
66.1%
Tragic
54.5%
Associate's Degree
Exceptional
53.9%
Tragic
40.0%
Bachelor's Degree
Exceptional
46.1%
Tragic
30.2%
Master's Degree
Exceptional
19.8%
Tragic
10.5%
Professional Degree
Exceptional
6.2%
Tragic
3.1%
Doctorate Degree
Exceptional
2.6%
Tragic
1.2%

Latvian vs Bangladeshi Disability

When considering disability, the most significant differences between Latvian and Bangladeshi communities in the United States are seen in disability age 35 to 64 (10.2% compared to 13.6%, a difference of 34.0%), disability age 65 to 74 (21.2% compared to 26.8%, a difference of 26.4%), and self-care disability (2.3% compared to 2.8%, a difference of 22.7%). Conversely, both communities are more comparable in terms of hearing disability (3.2% compared to 3.2%, a difference of 1.1%), disability age under 5 (1.3% compared to 1.3%, a difference of 1.9%), and disability age 5 to 17 (5.4% compared to 5.8%, a difference of 7.6%).
Latvian vs Bangladeshi Disability
Disability MetricLatvianBangladeshi
Disability
Excellent
11.4%
Tragic
12.6%
Males
Good
11.1%
Tragic
12.0%
Females
Exceptional
11.7%
Tragic
13.1%
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
7.4%
Age | 35 to 64 years
Exceptional
10.2%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
21.2%
Tragic
26.8%
Age | Over 75 years
Exceptional
45.1%
Tragic
49.4%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Tragic
3.2%
Tragic
3.2%
Cognitive
Exceptional
16.6%
Tragic
18.6%
Ambulatory
Exceptional
5.7%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.8%