Nepalese vs Bangladeshi Community Comparison

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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
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew 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

Nepalese

Bangladeshis

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

Bangladeshi Integration in Nepalese Communities

The statistical analysis conducted on geographies consisting of 20,410,027 people shows a substantial positive correlation between the proportion of Bangladeshis within Nepalese communities in the United States with a correlation coefficient (R) of 0.511. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is an increase of 2.072% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to an increase of 2,072.2 Bangladeshis.
Nepalese Integration in Bangladeshi Communities

Nepalese vs Bangladeshi Income

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

Nepalese vs Bangladeshi Poverty

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

Nepalese vs Bangladeshi Unemployment

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

Nepalese vs Bangladeshi Labor Participation

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

Nepalese vs Bangladeshi Family Structure

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

Nepalese vs Bangladeshi Vehicle Availability

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

Nepalese vs Bangladeshi Education Level

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

Nepalese vs Bangladeshi Disability

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