Bangladeshi vs Latvian Community Comparison

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

Social Comparison

Bangladeshis

Latvians

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

Latvian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 93,692,892 people shows a mild positive correlation between the proportion of Latvians within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.349. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.005% in Latvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 4.6 Latvians.
Bangladeshi Integration in Latvian Communities

Bangladeshi vs Latvian Income

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

Bangladeshi vs Latvian Poverty

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

Bangladeshi vs Latvian Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Latvian communities in the United States are seen in male unemployment (5.7% compared to 4.8%, a difference of 17.0%), unemployment among women with children ages 6 to 17 years (7.4% compared to 8.6%, a difference of 17.0%), and unemployment (5.4% compared to 4.7%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 9.9%, a difference of 0.39%), unemployment among ages 16 to 19 years (16.9% compared to 16.7%, a difference of 1.3%), and unemployment among ages 55 to 59 years (4.7% compared to 4.6%, a difference of 1.5%).
Bangladeshi vs Latvian Unemployment
Unemployment MetricBangladeshiLatvian
Unemployment
Poor
5.4%
Exceptional
4.7%
Males
Tragic
5.7%
Exceptional
4.8%
Females
Good
5.2%
Exceptional
4.7%
Youth < 25
Average
11.6%
Exceptional
11.0%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.9%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.2%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.0%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.2%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.6%
Age | 60 to 64 years
Exceptional
4.6%
Good
4.8%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.1%
Seniors > 65
Fair
5.2%
Exceptional
4.9%
Seniors > 75
Tragic
9.6%
Excellent
8.6%
Women w/ Children < 6
Good
7.5%
Exceptional
6.8%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.6%
Women w/ Children < 18
Good
5.3%
Exceptional
4.9%

Bangladeshi vs Latvian Labor Participation

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

Bangladeshi vs Latvian Family Structure

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

Bangladeshi vs Latvian Vehicle Availability

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

Bangladeshi vs Latvian Education Level

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

Bangladeshi vs Latvian Disability

When considering disability, the most significant differences between Bangladeshi and Latvian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.2%, a difference of 34.0%), disability age 65 to 74 (26.8% compared to 21.2%, a difference of 26.4%), and self-care disability (2.8% compared to 2.3%, 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 (5.8% compared to 5.4%, a difference of 7.6%).
Bangladeshi vs Latvian Disability
Disability MetricBangladeshiLatvian
Disability
Tragic
12.6%
Excellent
11.4%
Males
Tragic
12.0%
Good
11.1%
Females
Tragic
13.1%
Exceptional
11.7%
Age | Under 5 years
Poor
1.3%
Tragic
1.3%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.4%
Age | 18 to 34 years
Tragic
7.4%
Poor
6.8%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
10.2%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
21.2%
Age | Over 75 years
Tragic
49.4%
Exceptional
45.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.2%
Tragic
3.2%
Cognitive
Tragic
18.6%
Exceptional
16.6%
Ambulatory
Poor
6.3%
Exceptional
5.7%
Self-Care
Tragic
2.8%
Exceptional
2.3%