Immigrants from Bangladesh vs Lithuanian Community Comparison

COMPARE

Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Bangladesh

Lithuanians

Poor
Excellent
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 185,612,381 people shows a poor negative correlation between the proportion of Lithuanians within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.116. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.006% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 5.6 Lithuanians.
Immigrants from Bangladesh Integration in Lithuanian Communities

Immigrants from Bangladesh vs Lithuanian Income

When considering income, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in wage/income gap (20.9% compared to 28.7%, a difference of 37.2%), householder income ages 45 - 64 years ($92,208 compared to $112,484, a difference of 22.0%), and median family income ($94,665 compared to $115,395, a difference of 21.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,714 compared to $53,552, a difference of 2.2%), median female earnings ($39,910 compared to $42,108, a difference of 5.5%), and median earnings ($45,532 compared to $50,991, a difference of 12.0%).
Immigrants from Bangladesh vs Lithuanian Income
Income MetricImmigrants from BangladeshLithuanian
Per Capita Income
Poor
$41,709
Exceptional
$49,448
Median Family Income
Tragic
$94,665
Exceptional
$115,395
Median Household Income
Tragic
$80,722
Exceptional
$93,852
Median Earnings
Fair
$45,532
Exceptional
$50,991
Median Male Earnings
Tragic
$51,642
Exceptional
$61,228
Median Female Earnings
Good
$39,910
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$54,714
Exceptional
$53,552
Householder Age | 25 - 44 years
Tragic
$90,448
Exceptional
$105,223
Householder Age | 45 - 64 years
Tragic
$92,208
Exceptional
$112,484
Householder Age | Over 65 years
Tragic
$55,394
Exceptional
$65,209
Wage/Income Gap
Exceptional
20.9%
Tragic
28.7%

Immigrants from Bangladesh vs Lithuanian Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in married-couple family poverty (7.5% compared to 4.0%, a difference of 89.1%), receiving food stamps (15.9% compared to 9.7%, a difference of 64.5%), and family poverty (11.7% compared to 7.2%, a difference of 62.6%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 13.0%, a difference of 0.13%), single father poverty (16.3% compared to 17.3%, a difference of 6.3%), and single mother poverty (31.1% compared to 27.4%, a difference of 13.6%).
Immigrants from Bangladesh vs Lithuanian Poverty
Poverty MetricImmigrants from BangladeshLithuanian
Poverty
Tragic
15.3%
Exceptional
10.5%
Families
Tragic
11.7%
Exceptional
7.2%
Males
Tragic
14.1%
Exceptional
9.5%
Females
Tragic
16.4%
Exceptional
11.4%
Females 18 to 24 years
Tragic
21.8%
Exceptional
18.7%
Females 25 to 34 years
Tragic
14.8%
Exceptional
12.2%
Children Under 5 years
Tragic
20.1%
Exceptional
15.2%
Children Under 16 years
Tragic
19.8%
Exceptional
13.5%
Boys Under 16 years
Tragic
19.9%
Exceptional
14.0%
Girls Under 16 years
Tragic
19.9%
Exceptional
13.9%
Single Males
Fair
13.0%
Fair
13.0%
Single Females
Tragic
22.3%
Exceptional
19.2%
Single Fathers
Average
16.3%
Tragic
17.3%
Single Mothers
Tragic
31.1%
Exceptional
27.4%
Married Couples
Tragic
7.5%
Exceptional
4.0%
Seniors Over 65 years
Tragic
14.1%
Exceptional
9.1%
Seniors Over 75 years
Tragic
15.8%
Exceptional
10.6%
Receiving Food Stamps
Tragic
15.9%
Exceptional
9.7%

Immigrants from Bangladesh vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in female unemployment (6.5% compared to 4.7%, a difference of 36.1%), unemployment (6.5% compared to 4.8%, a difference of 34.9%), and male unemployment (6.6% compared to 5.0%, a difference of 32.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 9.4%, a difference of 6.8%), unemployment among ages 65 to 74 years (5.9% compared to 5.4%, a difference of 8.4%), and unemployment among seniors over 75 years (9.1% compared to 9.9%, a difference of 9.0%).
Immigrants from Bangladesh vs Lithuanian Unemployment
Unemployment MetricImmigrants from BangladeshLithuanian
Unemployment
Tragic
6.5%
Exceptional
4.8%
Males
Tragic
6.6%
Exceptional
5.0%
Females
Tragic
6.5%
Exceptional
4.7%
Youth < 25
Tragic
14.2%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
21.5%
Exceptional
16.7%
Age | 20 to 24 years
Tragic
12.6%
Good
10.2%
Age | 25 to 29 years
Tragic
7.5%
Good
6.5%
Age | 30 to 34 years
Tragic
6.4%
Good
5.4%
Age | 35 to 44 years
Tragic
5.3%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
5.4%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.9%
Excellent
4.7%
Age | 60 to 64 years
Tragic
6.0%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.9%
Fair
5.4%
Seniors > 65
Tragic
5.7%
Average
5.1%
Seniors > 75
Tragic
9.1%
Tragic
9.9%
Women w/ Children < 6
Tragic
8.8%
Fair
7.8%
Women w/ Children 6 to 17
Good
8.8%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.4%
Exceptional
5.0%

Immigrants from Bangladesh vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 40.4%, a difference of 34.6%), in labor force | age 20-24 (70.6% compared to 77.0%, a difference of 9.0%), and in labor force | age 45-54 (80.7% compared to 83.6%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.8%, a difference of 0.49%), in labor force | age 30-34 (83.6% compared to 85.6%, a difference of 2.4%), and in labor force | age 35-44 (82.9% compared to 85.2%, a difference of 2.8%).
Immigrants from Bangladesh vs Lithuanian Labor Participation
Labor Participation MetricImmigrants from BangladeshLithuanian
In Labor Force | Age > 16
Tragic
64.5%
Poor
64.8%
In Labor Force | Age 20-64
Tragic
77.9%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
40.4%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
77.0%
In Labor Force | Age 25-29
Tragic
83.0%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
83.6%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
80.7%
Exceptional
83.6%

Immigrants from Bangladesh vs Lithuanian Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in single mother households (6.9% compared to 5.4%, a difference of 26.5%), married-couple households (43.1% compared to 48.9%, a difference of 13.4%), and currently married (43.6% compared to 49.0%, a difference of 12.3%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 64.0%, a difference of 0.30%), single father households (2.1% compared to 2.1%, a difference of 1.9%), and family households with children (27.6% compared to 26.6%, a difference of 3.7%).
Immigrants from Bangladesh vs Lithuanian Family Structure
Family Structure MetricImmigrants from BangladeshLithuanian
Family Households
Poor
63.9%
Fair
64.0%
Family Households with Children
Good
27.6%
Tragic
26.6%
Married-couple Households
Tragic
43.1%
Exceptional
48.9%
Average Family Size
Exceptional
3.36
Tragic
3.10
Single Father Households
Exceptional
2.1%
Exceptional
2.1%
Single Mother Households
Tragic
6.9%
Exceptional
5.4%
Currently Married
Tragic
43.6%
Exceptional
49.0%
Divorced or Separated
Exceptional
11.0%
Exceptional
11.7%
Births to Unmarried Women
Good
30.9%
Exceptional
29.6%

Immigrants from Bangladesh vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in no vehicles in household (25.8% compared to 8.4%, a difference of 205.3%), 4 or more vehicles in household (3.9% compared to 6.3%, a difference of 62.3%), and 3 or more vehicles in household (12.5% compared to 20.1%, a difference of 60.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 91.7%, a difference of 23.4%), 2 or more vehicles in household (38.8% compared to 58.2%, a difference of 50.2%), and 3 or more vehicles in household (12.5% compared to 20.1%, a difference of 60.8%).
Immigrants from Bangladesh vs Lithuanian Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshLithuanian
No Vehicles Available
Tragic
25.8%
Exceptional
8.4%
1+ Vehicles Available
Tragic
74.3%
Exceptional
91.7%
2+ Vehicles Available
Tragic
38.8%
Exceptional
58.2%
3+ Vehicles Available
Tragic
12.5%
Excellent
20.1%
4+ Vehicles Available
Tragic
3.9%
Average
6.3%

Immigrants from Bangladesh vs Lithuanian Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in no schooling completed (3.1% compared to 1.4%, a difference of 118.9%), doctorate degree (1.8% compared to 2.3%, a difference of 22.8%), and professional degree (4.4% compared to 5.4%, a difference of 21.1%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 98.6%, a difference of 1.8%), kindergarten (96.8% compared to 98.6%, a difference of 1.8%), and 1st grade (96.8% compared to 98.6%, a difference of 1.8%).
Immigrants from Bangladesh vs Lithuanian Education Level
Education Level MetricImmigrants from BangladeshLithuanian
No Schooling Completed
Tragic
3.1%
Exceptional
1.4%
Nursery School
Tragic
96.9%
Exceptional
98.6%
Kindergarten
Tragic
96.8%
Exceptional
98.6%
1st Grade
Tragic
96.8%
Exceptional
98.6%
2nd Grade
Tragic
96.7%
Exceptional
98.5%
3rd Grade
Tragic
96.6%
Exceptional
98.5%
4th Grade
Tragic
96.2%
Exceptional
98.3%
5th Grade
Tragic
96.0%
Exceptional
98.2%
6th Grade
Tragic
95.4%
Exceptional
98.1%
7th Grade
Tragic
94.0%
Exceptional
97.5%
8th Grade
Tragic
93.6%
Exceptional
97.3%
9th Grade
Tragic
92.4%
Exceptional
96.6%
10th Grade
Tragic
91.0%
Exceptional
95.8%
11th Grade
Tragic
89.5%
Exceptional
94.8%
12th Grade, No Diploma
Tragic
88.0%
Exceptional
93.6%
High School Diploma
Tragic
85.5%
Exceptional
92.0%
GED/Equivalency
Tragic
81.9%
Exceptional
88.9%
College, Under 1 year
Tragic
61.3%
Exceptional
68.8%
College, 1 year or more
Tragic
56.6%
Exceptional
62.9%
Associate's Degree
Fair
45.2%
Exceptional
50.6%
Bachelor's Degree
Average
37.8%
Exceptional
42.2%
Master's Degree
Good
15.5%
Exceptional
17.7%
Professional Degree
Average
4.4%
Exceptional
5.4%
Doctorate Degree
Average
1.8%
Exceptional
2.3%

Immigrants from Bangladesh vs Lithuanian Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Lithuanian communities in the United States are seen in disability age under 5 (0.85% compared to 1.6%, a difference of 83.0%), hearing disability (2.4% compared to 3.4%, a difference of 38.2%), and disability age 18 to 34 (5.6% compared to 7.0%, a difference of 23.5%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (10.9% compared to 10.8%, a difference of 0.58%), female disability (11.8% compared to 12.2%, a difference of 3.3%), and ambulatory disability (6.2% compared to 6.0%, a difference of 3.6%).
Immigrants from Bangladesh vs Lithuanian Disability
Disability MetricImmigrants from BangladeshLithuanian
Disability
Exceptional
11.0%
Poor
11.9%
Males
Exceptional
10.3%
Tragic
11.6%
Females
Exceptional
11.8%
Average
12.2%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.0%
Age | 35 to 64 years
Excellent
10.9%
Excellent
10.8%
Age | 65 to 74 years
Fair
23.6%
Exceptional
21.4%
Age | Over 75 years
Tragic
48.0%
Exceptional
45.1%
Vision
Good
2.1%
Exceptional
2.0%
Hearing
Exceptional
2.4%
Tragic
3.4%
Cognitive
Tragic
17.8%
Exceptional
16.3%
Ambulatory
Fair
6.2%
Excellent
6.0%
Self-Care
Tragic
2.6%
Exceptional
2.4%