Bangladeshi vs Immigrants from Nepal 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)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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bangladeshis

Immigrants from Nepal

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

Immigrants from Nepal Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 89,439,524 people shows a mild positive correlation between the proportion of Immigrants from Nepal within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.302. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.007% in Immigrants from Nepal. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 7.0 Immigrants from Nepal.
Bangladeshi Integration in Immigrants from Nepal Communities

Bangladeshi vs Immigrants from Nepal Income

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

Bangladeshi vs Immigrants from Nepal Poverty

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

Bangladeshi vs Immigrants from Nepal Unemployment

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

Bangladeshi vs Immigrants from Nepal Labor Participation

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

Bangladeshi vs Immigrants from Nepal Family Structure

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

Bangladeshi vs Immigrants from Nepal Vehicle Availability

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

Bangladeshi vs Immigrants from Nepal Education Level

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

Bangladeshi vs Immigrants from Nepal Disability

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