Immigrants from Nepal vs Bangladeshi Community Comparison

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Immigrants from Nepal
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 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 AfricaMoldovaMoroccoNetherlandsNicaraguaNigeriaNorth 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 Nepal

Bangladeshis

Good
Fair
7,773
SOCIAL INDEX
75.2/ 100
SOCIAL RATING
106th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Immigrants from Nepal Communities

The statistical analysis conducted on geographies consisting of 89,438,121 people shows no correlation between the proportion of Bangladeshis within Immigrant from Nepal communities in the United States with a correlation coefficient (R) of -0.003. On average, for every 1% (one percent) increase in Immigrants from Nepal within a typical geography, there is a decrease of 0.007% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Nepal corresponds to a decrease of 6.5 Bangladeshis.
Immigrants from Nepal Integration in Bangladeshi Communities

Immigrants from Nepal vs Bangladeshi Income

When considering income, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in per capita income ($44,187 compared to $35,897, a difference of 23.1%), median male earnings ($55,615 compared to $46,744, a difference of 19.0%), and median family income ($104,966 compared to $88,358, a difference of 18.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,611 compared to $47,589, a difference of 10.5%), wage/income gap (24.9% compared to 22.2%, a difference of 12.2%), and householder income over 65 years ($61,843 compared to $54,719, a difference of 13.0%).
Immigrants from Nepal vs Bangladeshi Income
Income MetricImmigrants from NepalBangladeshi
Per Capita Income
Good
$44,187
Tragic
$35,897
Median Family Income
Good
$104,966
Tragic
$88,358
Median Household Income
Good
$87,046
Tragic
$74,112
Median Earnings
Excellent
$47,925
Tragic
$41,263
Median Male Earnings
Good
$55,615
Tragic
$46,744
Median Female Earnings
Excellent
$40,704
Tragic
$35,960
Householder Age | Under 25 years
Good
$52,611
Tragic
$47,589
Householder Age | 25 - 44 years
Good
$95,322
Tragic
$81,363
Householder Age | 45 - 64 years
Good
$102,190
Tragic
$86,402
Householder Age | Over 65 years
Good
$61,843
Tragic
$54,719
Wage/Income Gap
Excellent
24.9%
Exceptional
22.2%

Immigrants from Nepal vs Bangladeshi Poverty

When considering poverty, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in receiving food stamps (10.6% compared to 15.0%, a difference of 42.4%), family poverty (8.5% compared to 10.9%, a difference of 28.0%), and married-couple family poverty (4.7% compared to 6.0%, a difference of 26.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 12.0%, a difference of 1.8%), single father poverty (14.8% compared to 15.2%, a difference of 2.7%), and female poverty among 18-24 year olds (20.7% compared to 22.5%, a difference of 8.7%).
Immigrants from Nepal vs Bangladeshi Poverty
Poverty MetricImmigrants from NepalBangladeshi
Poverty
Good
12.2%
Tragic
14.8%
Families
Excellent
8.5%
Tragic
10.9%
Males
Good
11.0%
Tragic
13.6%
Females
Good
13.3%
Tragic
16.0%
Females 18 to 24 years
Tragic
20.7%
Tragic
22.5%
Females 25 to 34 years
Exceptional
12.8%
Tragic
15.9%
Children Under 5 years
Excellent
16.6%
Tragic
20.6%
Children Under 16 years
Good
15.7%
Tragic
19.9%
Boys Under 16 years
Good
15.9%
Tragic
20.0%
Girls Under 16 years
Good
15.9%
Tragic
20.0%
Single Males
Exceptional
11.9%
Tragic
13.3%
Single Females
Exceptional
20.3%
Tragic
24.2%
Single Fathers
Exceptional
14.8%
Exceptional
15.2%
Single Mothers
Exceptional
27.9%
Tragic
31.7%
Married Couples
Exceptional
4.7%
Tragic
6.0%
Seniors Over 65 years
Exceptional
10.1%
Fair
11.2%
Seniors Over 75 years
Excellent
11.8%
Good
12.0%
Receiving Food Stamps
Exceptional
10.6%
Tragic
15.0%

Immigrants from Nepal vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in male unemployment (4.8% compared to 5.7%, a difference of 17.4%), unemployment among ages 25 to 29 years (5.7% compared to 6.6%, a difference of 15.6%), and unemployment among seniors over 75 years (8.3% compared to 9.6%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.5% compared to 4.6%, a difference of 2.6%), unemployment among ages 55 to 59 years (4.5% compared to 4.7%, a difference of 3.5%), and unemployment among ages 16 to 19 years (16.3% compared to 16.9%, a difference of 3.8%).
Immigrants from Nepal vs Bangladeshi Unemployment
Unemployment MetricImmigrants from NepalBangladeshi
Unemployment
Exceptional
4.8%
Poor
5.4%
Males
Exceptional
4.8%
Tragic
5.7%
Females
Exceptional
4.9%
Good
5.2%
Youth < 25
Exceptional
10.8%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.3%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
5.7%
Average
6.6%
Age | 30 to 34 years
Exceptional
4.7%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.2%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.5%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
4.9%
Good
5.3%
Seniors > 65
Exceptional
4.7%
Fair
5.2%
Seniors > 75
Exceptional
8.3%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.8%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.3%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.1%
Good
5.3%

Immigrants from Nepal vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (38.3% compared to 42.5%, a difference of 10.8%), in labor force | age 45-54 (84.0% compared to 81.3%, a difference of 3.4%), and in labor force | age > 16 (68.0% compared to 65.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.8% compared to 85.1%, a difference of 0.85%), in labor force | age 35-44 (85.3% compared to 84.1%, a difference of 1.4%), and in labor force | age 30-34 (85.6% compared to 84.3%, a difference of 1.5%).
Immigrants from Nepal vs Bangladeshi Labor Participation
Labor Participation MetricImmigrants from NepalBangladeshi
In Labor Force | Age > 16
Exceptional
68.0%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
81.1%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
38.3%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
76.0%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.8%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.3%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
84.0%
Tragic
81.3%

Immigrants from Nepal vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in single father households (2.2% compared to 3.1%, a difference of 37.6%), single mother households (6.4% compared to 8.1%, a difference of 27.0%), and births to unmarried women (29.6% compared to 34.4%, a difference of 16.4%). Conversely, both communities are more comparable in terms of family households (62.7% compared to 64.3%, a difference of 2.5%), married-couple households (45.2% compared to 43.5%, a difference of 3.9%), and average family size (3.21 compared to 3.37, a difference of 5.1%).
Immigrants from Nepal vs Bangladeshi Family Structure
Family Structure MetricImmigrants from NepalBangladeshi
Family Households
Tragic
62.7%
Average
64.3%
Family Households with Children
Exceptional
28.4%
Exceptional
30.1%
Married-couple Households
Tragic
45.2%
Tragic
43.5%
Average Family Size
Poor
3.21
Exceptional
3.37
Single Father Households
Exceptional
2.2%
Tragic
3.1%
Single Mother Households
Fair
6.4%
Tragic
8.1%
Currently Married
Fair
46.1%
Tragic
43.7%
Divorced or Separated
Exceptional
11.6%
Poor
12.3%
Births to Unmarried Women
Exceptional
29.6%
Tragic
34.4%

Immigrants from Nepal vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 7.6%, a difference of 35.6%), 3 or more vehicles in household (17.6% compared to 21.9%, a difference of 24.0%), and no vehicles in household (10.5% compared to 8.7%, a difference of 21.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.5% compared to 91.4%, a difference of 2.1%), 2 or more vehicles in household (53.5% compared to 58.4%, a difference of 9.1%), and no vehicles in household (10.5% compared to 8.7%, a difference of 21.3%).
Immigrants from Nepal vs Bangladeshi Vehicle Availability
Vehicle Availability MetricImmigrants from NepalBangladeshi
No Vehicles Available
Average
10.5%
Exceptional
8.7%
1+ Vehicles Available
Fair
89.5%
Exceptional
91.4%
2+ Vehicles Available
Tragic
53.5%
Exceptional
58.4%
3+ Vehicles Available
Tragic
17.6%
Exceptional
21.9%
4+ Vehicles Available
Tragic
5.6%
Exceptional
7.6%

Immigrants from Nepal vs Bangladeshi Education Level

When considering education level, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in doctorate degree (2.2% compared to 1.2%, a difference of 79.8%), master's degree (17.0% compared to 10.5%, a difference of 61.8%), and no schooling completed (2.3% compared to 3.5%, a difference of 55.3%). Conversely, both communities are more comparable in terms of kindergarten (97.7% compared to 96.6%, a difference of 1.2%), nursery school (97.7% compared to 96.6%, a difference of 1.2%), and 1st grade (97.7% compared to 96.5%, a difference of 1.2%).
Immigrants from Nepal vs Bangladeshi Education Level
Education Level MetricImmigrants from NepalBangladeshi
No Schooling Completed
Tragic
2.3%
Tragic
3.5%
Nursery School
Tragic
97.7%
Tragic
96.6%
Kindergarten
Tragic
97.7%
Tragic
96.6%
1st Grade
Tragic
97.7%
Tragic
96.5%
2nd Grade
Tragic
97.6%
Tragic
96.5%
3rd Grade
Tragic
97.5%
Tragic
96.3%
4th Grade
Tragic
97.3%
Tragic
96.1%
5th Grade
Poor
97.1%
Tragic
95.9%
6th Grade
Poor
96.8%
Tragic
95.7%
7th Grade
Fair
95.9%
Tragic
94.5%
8th Grade
Fair
95.6%
Tragic
94.3%
9th Grade
Fair
94.8%
Tragic
93.4%
10th Grade
Average
93.7%
Tragic
92.2%
11th Grade
Fair
92.4%
Tragic
90.9%
12th Grade, No Diploma
Average
91.2%
Tragic
89.3%
High School Diploma
Good
89.3%
Tragic
86.9%
GED/Equivalency
Good
86.2%
Tragic
83.1%
College, Under 1 year
Exceptional
67.5%
Tragic
61.4%
College, 1 year or more
Exceptional
62.0%
Tragic
54.5%
Associate's Degree
Exceptional
49.5%
Tragic
40.0%
Bachelor's Degree
Exceptional
41.7%
Tragic
30.2%
Master's Degree
Exceptional
17.0%
Tragic
10.5%
Professional Degree
Exceptional
4.8%
Tragic
3.1%
Doctorate Degree
Exceptional
2.2%
Tragic
1.2%

Immigrants from Nepal vs Bangladeshi Disability

When considering disability, the most significant differences between Immigrants from Nepal and Bangladeshi communities in the United States are seen in self-care disability (2.2% compared to 2.8%, a difference of 30.2%), disability age 35 to 64 (10.6% compared to 13.6%, a difference of 29.1%), and disability age under 5 (1.0% compared to 1.3%, a difference of 23.3%). Conversely, both communities are more comparable in terms of cognitive disability (18.0% compared to 18.6%, a difference of 3.1%), disability age 5 to 17 (5.5% compared to 5.8%, a difference of 5.3%), and disability age over 75 (46.6% compared to 49.4%, a difference of 6.0%).
Immigrants from Nepal vs Bangladeshi Disability
Disability MetricImmigrants from NepalBangladeshi
Disability
Exceptional
10.8%
Tragic
12.6%
Males
Exceptional
10.3%
Tragic
12.0%
Females
Exceptional
11.3%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.0%
Poor
1.3%
Age | 5 to 17 years
Good
5.5%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
10.6%
Tragic
13.6%
Age | 65 to 74 years
Excellent
22.6%
Tragic
26.8%
Age | Over 75 years
Exceptional
46.6%
Tragic
49.4%
Vision
Exceptional
1.9%
Tragic
2.3%
Hearing
Exceptional
2.7%
Tragic
3.2%
Cognitive
Tragic
18.0%
Tragic
18.6%
Ambulatory
Exceptional
5.4%
Poor
6.3%
Self-Care
Exceptional
2.2%
Tragic
2.8%