Bangladeshi vs Nepalese Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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
Nepalese
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

Nepalese

Fair
Poor
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK

Nepalese Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 20,415,317 people shows a substantial positive correlation between the proportion of Nepalese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.552. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.060% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 60.1 Nepalese.
Bangladeshi Integration in Nepalese Communities

Bangladeshi vs Nepalese Income

When considering income, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in householder income under 25 years ($47,589 compared to $54,472, a difference of 14.5%), householder income ages 25 - 44 years ($81,363 compared to $91,498, a difference of 12.5%), and median household income ($74,112 compared to $82,410, a difference of 11.2%). Conversely, both communities are more comparable in terms of wage/income gap (22.2% compared to 22.2%, a difference of 0.23%), median male earnings ($46,744 compared to $49,458, a difference of 5.8%), and median earnings ($41,263 compared to $43,860, a difference of 6.3%).
Bangladeshi vs Nepalese Income
Income MetricBangladeshiNepalese
Per Capita Income
Tragic
$35,897
Tragic
$38,442
Median Family Income
Tragic
$88,358
Tragic
$94,153
Median Household Income
Tragic
$74,112
Poor
$82,410
Median Earnings
Tragic
$41,263
Tragic
$43,860
Median Male Earnings
Tragic
$46,744
Tragic
$49,458
Median Female Earnings
Tragic
$35,960
Tragic
$38,603
Householder Age | Under 25 years
Tragic
$47,589
Exceptional
$54,472
Householder Age | 25 - 44 years
Tragic
$81,363
Poor
$91,498
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$93,355
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$58,761
Wage/Income Gap
Exceptional
22.2%
Exceptional
22.2%

Bangladeshi vs Nepalese Poverty

When considering poverty, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in single male poverty (13.3% compared to 11.6%, a difference of 15.2%), child poverty under the age of 5 (20.6% compared to 18.3%, a difference of 12.8%), and child poverty among boys under 16 (20.0% compared to 18.0%, a difference of 11.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.2% compared to 11.5%, a difference of 2.7%), receiving food stamps (15.0% compared to 14.6%, a difference of 3.0%), and female poverty among 25-34 year olds (15.9% compared to 15.2%, a difference of 4.5%).
Bangladeshi vs Nepalese Poverty
Poverty MetricBangladeshiNepalese
Poverty
Tragic
14.8%
Tragic
14.0%
Families
Tragic
10.9%
Tragic
10.4%
Males
Tragic
13.6%
Tragic
12.8%
Females
Tragic
16.0%
Tragic
15.2%
Females 18 to 24 years
Tragic
22.5%
Fair
20.2%
Females 25 to 34 years
Tragic
15.9%
Tragic
15.2%
Children Under 5 years
Tragic
20.6%
Tragic
18.3%
Children Under 16 years
Tragic
19.9%
Tragic
18.2%
Boys Under 16 years
Tragic
20.0%
Tragic
18.0%
Girls Under 16 years
Tragic
20.0%
Tragic
18.6%
Single Males
Tragic
13.3%
Exceptional
11.6%
Single Females
Tragic
24.2%
Tragic
21.7%
Single Fathers
Exceptional
15.2%
Exceptional
14.4%
Single Mothers
Tragic
31.7%
Fair
29.3%
Married Couples
Tragic
6.0%
Tragic
6.5%
Seniors Over 65 years
Fair
11.2%
Tragic
11.5%
Seniors Over 75 years
Good
12.0%
Poor
12.6%
Receiving Food Stamps
Tragic
15.0%
Tragic
14.6%

Bangladeshi vs Nepalese Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in unemployment among ages 55 to 59 years (4.7% compared to 5.6%, a difference of 18.8%), unemployment among ages 35 to 44 years (4.8% compared to 5.6%, a difference of 17.4%), and unemployment among ages 60 to 64 years (4.6% compared to 5.2%, a difference of 14.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.1%), unemployment among women with children under 6 years (7.5% compared to 7.7%, a difference of 2.3%), and unemployment among women with children ages 6 to 17 years (7.4% compared to 7.7%, a difference of 4.9%).
Bangladeshi vs Nepalese Unemployment
Unemployment MetricBangladeshiNepalese
Unemployment
Poor
5.4%
Tragic
6.2%
Males
Tragic
5.7%
Tragic
6.4%
Females
Good
5.2%
Tragic
5.9%
Youth < 25
Average
11.6%
Tragic
12.5%
Age | 16 to 19 years
Exceptional
16.9%
Tragic
18.2%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
10.6%
Age | 25 to 29 years
Average
6.6%
Tragic
7.5%
Age | 30 to 34 years
Good
5.3%
Tragic
5.9%
Age | 35 to 44 years
Fair
4.8%
Tragic
5.6%
Age | 45 to 54 years
Average
4.5%
Tragic
5.0%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.6%
Age | 60 to 64 years
Exceptional
4.6%
Tragic
5.2%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.0%
Seniors > 65
Fair
5.2%
Good
5.1%
Seniors > 75
Tragic
9.6%
Tragic
10.1%
Women w/ Children < 6
Good
7.5%
Average
7.7%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
7.7%
Women w/ Children < 18
Good
5.3%
Tragic
6.0%

Bangladeshi vs Nepalese Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 33.5%, a difference of 26.7%), in labor force | age 20-24 (78.1% compared to 74.5%, a difference of 4.9%), and in labor force | age > 16 (65.9% compared to 63.8%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.3% compared to 80.5%, a difference of 0.96%), in labor force | age 30-34 (84.3% compared to 82.7%, a difference of 2.0%), and in labor force | age 35-44 (84.1% compared to 82.4%, a difference of 2.1%).
Bangladeshi vs Nepalese Labor Participation
Labor Participation MetricBangladeshiNepalese
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
63.8%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
77.5%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
33.5%
In Labor Force | Age 20-24
Exceptional
78.1%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
82.9%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
82.7%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
82.4%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
80.5%

Bangladeshi vs Nepalese Family Structure

When considering family structure, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in single mother households (8.1% compared to 7.5%, a difference of 9.2%), married-couple households (43.5% compared to 45.6%, a difference of 4.7%), and family households (64.3% compared to 67.2%, a difference of 4.6%). Conversely, both communities are more comparable in terms of family households with children (30.1% compared to 30.5%, a difference of 1.4%), single father households (3.1% compared to 3.1%, a difference of 1.5%), and average family size (3.37 compared to 3.42, a difference of 1.6%).
Bangladeshi vs Nepalese Family Structure
Family Structure MetricBangladeshiNepalese
Family Households
Average
64.3%
Exceptional
67.2%
Family Households with Children
Exceptional
30.1%
Exceptional
30.5%
Married-couple Households
Tragic
43.5%
Poor
45.6%
Average Family Size
Exceptional
3.37
Exceptional
3.42
Single Father Households
Tragic
3.1%
Tragic
3.1%
Single Mother Households
Tragic
8.1%
Tragic
7.5%
Currently Married
Tragic
43.7%
Tragic
44.7%
Divorced or Separated
Poor
12.3%
Tragic
12.5%
Births to Unmarried Women
Tragic
34.4%
Tragic
33.5%

Bangladeshi vs Nepalese Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in no vehicles in household (8.7% compared to 7.4%, a difference of 17.2%), 4 or more vehicles in household (7.6% compared to 8.7%, a difference of 15.8%), and 3 or more vehicles in household (21.9% compared to 24.9%, a difference of 14.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 92.6%, a difference of 1.4%), 2 or more vehicles in household (58.4% compared to 61.4%, a difference of 5.1%), and 3 or more vehicles in household (21.9% compared to 24.9%, a difference of 14.0%).
Bangladeshi vs Nepalese Vehicle Availability
Vehicle Availability MetricBangladeshiNepalese
No Vehicles Available
Exceptional
8.7%
Exceptional
7.4%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
92.6%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
61.4%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
24.9%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
8.7%

Bangladeshi vs Nepalese Education Level

When considering education level, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in no schooling completed (3.5% compared to 3.8%, a difference of 7.5%), professional degree (3.1% compared to 3.2%, a difference of 4.8%), and doctorate degree (1.2% compared to 1.3%, a difference of 3.5%). Conversely, both communities are more comparable in terms of master's degree (10.5% compared to 10.5%, a difference of 0.080%), nursery school (96.6% compared to 96.2%, a difference of 0.40%), and 1st grade (96.5% compared to 96.1%, a difference of 0.40%).
Bangladeshi vs Nepalese Education Level
Education Level MetricBangladeshiNepalese
No Schooling Completed
Tragic
3.5%
Tragic
3.8%
Nursery School
Tragic
96.6%
Tragic
96.2%
Kindergarten
Tragic
96.6%
Tragic
96.2%
1st Grade
Tragic
96.5%
Tragic
96.1%
2nd Grade
Tragic
96.5%
Tragic
96.1%
3rd Grade
Tragic
96.3%
Tragic
95.9%
4th Grade
Tragic
96.1%
Tragic
95.5%
5th Grade
Tragic
95.9%
Tragic
95.2%
6th Grade
Tragic
95.7%
Tragic
94.9%
7th Grade
Tragic
94.5%
Tragic
93.2%
8th Grade
Tragic
94.3%
Tragic
92.8%
9th Grade
Tragic
93.4%
Tragic
92.0%
10th Grade
Tragic
92.2%
Tragic
90.7%
11th Grade
Tragic
90.9%
Tragic
89.5%
12th Grade, No Diploma
Tragic
89.3%
Tragic
88.1%
High School Diploma
Tragic
86.9%
Tragic
85.3%
GED/Equivalency
Tragic
83.1%
Tragic
81.9%
College, Under 1 year
Tragic
61.4%
Tragic
62.2%
College, 1 year or more
Tragic
54.5%
Tragic
54.9%
Associate's Degree
Tragic
40.0%
Tragic
39.0%
Bachelor's Degree
Tragic
30.2%
Tragic
29.9%
Master's Degree
Tragic
10.5%
Tragic
10.5%
Professional Degree
Tragic
3.1%
Tragic
3.2%
Doctorate Degree
Tragic
1.2%
Tragic
1.3%

Bangladeshi vs Nepalese Disability

When considering disability, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in disability age under 5 (1.3% compared to 0.97%, a difference of 32.3%), disability age 5 to 17 (5.8% compared to 5.3%, a difference of 9.6%), and disability age over 75 (49.4% compared to 52.6%, a difference of 6.4%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 12.2%, a difference of 1.5%), disability (12.6% compared to 12.8%, a difference of 1.6%), and female disability (13.1% compared to 13.3%, a difference of 1.7%).
Bangladeshi vs Nepalese Disability
Disability MetricBangladeshiNepalese
Disability
Tragic
12.6%
Tragic
12.8%
Males
Tragic
12.0%
Tragic
12.2%
Females
Tragic
13.1%
Tragic
13.3%
Age | Under 5 years
Poor
1.3%
Exceptional
0.97%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.1%
Age | 35 to 64 years
Tragic
13.6%
Tragic
12.8%
Age | 65 to 74 years
Tragic
26.8%
Tragic
28.0%
Age | Over 75 years
Tragic
49.4%
Tragic
52.6%
Vision
Tragic
2.3%
Tragic
2.4%
Hearing
Tragic
3.2%
Tragic
3.3%
Cognitive
Tragic
18.6%
Tragic
18.0%
Ambulatory
Poor
6.3%
Tragic
6.6%
Self-Care
Tragic
2.8%
Tragic
3.0%