Immigrants from Bangladesh vs Nepalese Community Comparison

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Immigrants from Bangladesh
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/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

Nepalese

Poor
Poor
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK

Nepalese Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 16,199,963 people shows a strong positive correlation between the proportion of Nepalese within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of 0.789. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.141% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to an increase of 140.9 Nepalese.
Immigrants from Bangladesh Integration in Nepalese Communities

Immigrants from Bangladesh vs Nepalese Income

When considering income, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in per capita income ($41,709 compared to $38,442, a difference of 8.5%), householder income over 65 years ($55,394 compared to $58,761, a difference of 6.1%), and wage/income gap (20.9% compared to 22.2%, a difference of 6.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,714 compared to $54,472, a difference of 0.44%), median family income ($94,665 compared to $94,153, a difference of 0.54%), and householder income ages 25 - 44 years ($90,448 compared to $91,498, a difference of 1.2%).
Immigrants from Bangladesh vs Nepalese Income
Income MetricImmigrants from BangladeshNepalese
Per Capita Income
Poor
$41,709
Tragic
$38,442
Median Family Income
Tragic
$94,665
Tragic
$94,153
Median Household Income
Tragic
$80,722
Poor
$82,410
Median Earnings
Fair
$45,532
Tragic
$43,860
Median Male Earnings
Tragic
$51,642
Tragic
$49,458
Median Female Earnings
Good
$39,910
Tragic
$38,603
Householder Age | Under 25 years
Exceptional
$54,714
Exceptional
$54,472
Householder Age | 25 - 44 years
Tragic
$90,448
Poor
$91,498
Householder Age | 45 - 64 years
Tragic
$92,208
Tragic
$93,355
Householder Age | Over 65 years
Tragic
$55,394
Tragic
$58,761
Wage/Income Gap
Exceptional
20.9%
Exceptional
22.2%

Immigrants from Bangladesh vs Nepalese Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in seniors poverty over the age of 75 (15.8% compared to 12.6%, a difference of 25.1%), seniors poverty over the age of 65 (14.1% compared to 11.5%, a difference of 22.4%), and married-couple family poverty (7.5% compared to 6.5%, a difference of 14.6%). Conversely, both communities are more comparable in terms of single female poverty (22.3% compared to 21.7%, a difference of 2.6%), female poverty among 25-34 year olds (14.8% compared to 15.2%, a difference of 2.9%), and single mother poverty (31.1% compared to 29.3%, a difference of 6.1%).
Immigrants from Bangladesh vs Nepalese Poverty
Poverty MetricImmigrants from BangladeshNepalese
Poverty
Tragic
15.3%
Tragic
14.0%
Families
Tragic
11.7%
Tragic
10.4%
Males
Tragic
14.1%
Tragic
12.8%
Females
Tragic
16.4%
Tragic
15.2%
Females 18 to 24 years
Tragic
21.8%
Fair
20.2%
Females 25 to 34 years
Tragic
14.8%
Tragic
15.2%
Children Under 5 years
Tragic
20.1%
Tragic
18.3%
Children Under 16 years
Tragic
19.8%
Tragic
18.2%
Boys Under 16 years
Tragic
19.9%
Tragic
18.0%
Girls Under 16 years
Tragic
19.9%
Tragic
18.6%
Single Males
Fair
13.0%
Exceptional
11.6%
Single Females
Tragic
22.3%
Tragic
21.7%
Single Fathers
Average
16.3%
Exceptional
14.4%
Single Mothers
Tragic
31.1%
Fair
29.3%
Married Couples
Tragic
7.5%
Tragic
6.5%
Seniors Over 65 years
Tragic
14.1%
Tragic
11.5%
Seniors Over 75 years
Tragic
15.8%
Poor
12.6%
Receiving Food Stamps
Tragic
15.9%
Tragic
14.6%

Immigrants from Bangladesh vs Nepalese Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in unemployment among ages 20 to 24 years (12.6% compared to 10.6%, a difference of 18.6%), unemployment among ages 16 to 19 years (21.5% compared to 18.2%, a difference of 17.8%), and unemployment among ages 65 to 74 years (5.9% compared to 5.0%, a difference of 16.0%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (7.5% compared to 7.5%, a difference of 0.23%), male unemployment (6.6% compared to 6.4%, a difference of 2.0%), and unemployment (6.5% compared to 6.2%, a difference of 4.8%).
Immigrants from Bangladesh vs Nepalese Unemployment
Unemployment MetricImmigrants from BangladeshNepalese
Unemployment
Tragic
6.5%
Tragic
6.2%
Males
Tragic
6.6%
Tragic
6.4%
Females
Tragic
6.5%
Tragic
5.9%
Youth < 25
Tragic
14.2%
Tragic
12.5%
Age | 16 to 19 years
Tragic
21.5%
Tragic
18.2%
Age | 20 to 24 years
Tragic
12.6%
Tragic
10.6%
Age | 25 to 29 years
Tragic
7.5%
Tragic
7.5%
Age | 30 to 34 years
Tragic
6.4%
Tragic
5.9%
Age | 35 to 44 years
Tragic
5.3%
Tragic
5.6%
Age | 45 to 54 years
Tragic
5.4%
Tragic
5.0%
Age | 55 to 59 years
Tragic
5.9%
Tragic
5.6%
Age | 60 to 64 years
Tragic
6.0%
Tragic
5.2%
Age | 65 to 74 years
Tragic
5.9%
Exceptional
5.0%
Seniors > 65
Tragic
5.7%
Good
5.1%
Seniors > 75
Tragic
9.1%
Tragic
10.1%
Women w/ Children < 6
Tragic
8.8%
Average
7.7%
Women w/ Children 6 to 17
Good
8.8%
Exceptional
7.7%
Women w/ Children < 18
Tragic
6.4%
Tragic
6.0%

Immigrants from Bangladesh vs Nepalese Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 33.5%, a difference of 11.5%), in labor force | age 20-24 (70.6% compared to 74.5%, a difference of 5.4%), and in labor force | age > 16 (64.5% compared to 63.8%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.0% compared to 82.9%, a difference of 0.050%), in labor force | age 45-54 (80.7% compared to 80.5%, a difference of 0.25%), and in labor force | age 20-64 (77.9% compared to 77.5%, a difference of 0.48%).
Immigrants from Bangladesh vs Nepalese Labor Participation
Labor Participation MetricImmigrants from BangladeshNepalese
In Labor Force | Age > 16
Tragic
64.5%
Tragic
63.8%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
77.5%
In Labor Force | Age 16-19
Tragic
30.0%
Tragic
33.5%
In Labor Force | Age 20-24
Tragic
70.6%
Poor
74.5%
In Labor Force | Age 25-29
Tragic
83.0%
Tragic
82.9%
In Labor Force | Age 30-34
Tragic
83.6%
Tragic
82.7%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
82.4%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
80.5%

Immigrants from Bangladesh vs Nepalese Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 50.6%), divorced or separated (11.0% compared to 12.5%, a difference of 13.8%), and family households with children (27.6% compared to 30.5%, a difference of 10.7%). Conversely, both communities are more comparable in terms of average family size (3.36 compared to 3.42, a difference of 1.7%), currently married (43.6% compared to 44.7%, a difference of 2.6%), and family households (63.9% compared to 67.2%, a difference of 5.2%).
Immigrants from Bangladesh vs Nepalese Family Structure
Family Structure MetricImmigrants from BangladeshNepalese
Family Households
Poor
63.9%
Exceptional
67.2%
Family Households with Children
Good
27.6%
Exceptional
30.5%
Married-couple Households
Tragic
43.1%
Poor
45.6%
Average Family Size
Exceptional
3.36
Exceptional
3.42
Single Father Households
Exceptional
2.1%
Tragic
3.1%
Single Mother Households
Tragic
6.9%
Tragic
7.5%
Currently Married
Tragic
43.6%
Tragic
44.7%
Divorced or Separated
Exceptional
11.0%
Tragic
12.5%
Births to Unmarried Women
Good
30.9%
Tragic
33.5%

Immigrants from Bangladesh vs Nepalese Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in no vehicles in household (25.8% compared to 7.4%, a difference of 248.4%), 4 or more vehicles in household (3.9% compared to 8.7%, a difference of 124.4%), and 3 or more vehicles in household (12.5% compared to 24.9%, a difference of 99.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 92.6%, a difference of 24.6%), 2 or more vehicles in household (38.8% compared to 61.4%, a difference of 58.4%), and 3 or more vehicles in household (12.5% compared to 24.9%, a difference of 99.1%).
Immigrants from Bangladesh vs Nepalese Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshNepalese
No Vehicles Available
Tragic
25.8%
Exceptional
7.4%
1+ Vehicles Available
Tragic
74.3%
Exceptional
92.6%
2+ Vehicles Available
Tragic
38.8%
Exceptional
61.4%
3+ Vehicles Available
Tragic
12.5%
Exceptional
24.9%
4+ Vehicles Available
Tragic
3.9%
Exceptional
8.7%

Immigrants from Bangladesh vs Nepalese Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in master's degree (15.5% compared to 10.5%, a difference of 47.8%), doctorate degree (1.8% compared to 1.3%, a difference of 46.7%), and professional degree (4.4% compared to 3.2%, a difference of 37.3%). Conversely, both communities are more comparable in terms of 11th grade (89.5% compared to 89.5%, a difference of 0.020%), ged/equivalency (81.9% compared to 81.9%, a difference of 0.070%), and high school diploma (85.5% compared to 85.3%, a difference of 0.17%).
Immigrants from Bangladesh vs Nepalese Education Level
Education Level MetricImmigrants from BangladeshNepalese
No Schooling Completed
Tragic
3.1%
Tragic
3.8%
Nursery School
Tragic
96.9%
Tragic
96.2%
Kindergarten
Tragic
96.8%
Tragic
96.2%
1st Grade
Tragic
96.8%
Tragic
96.1%
2nd Grade
Tragic
96.7%
Tragic
96.1%
3rd Grade
Tragic
96.6%
Tragic
95.9%
4th Grade
Tragic
96.2%
Tragic
95.5%
5th Grade
Tragic
96.0%
Tragic
95.2%
6th Grade
Tragic
95.4%
Tragic
94.9%
7th Grade
Tragic
94.0%
Tragic
93.2%
8th Grade
Tragic
93.6%
Tragic
92.8%
9th Grade
Tragic
92.4%
Tragic
92.0%
10th Grade
Tragic
91.0%
Tragic
90.7%
11th Grade
Tragic
89.5%
Tragic
89.5%
12th Grade, No Diploma
Tragic
88.0%
Tragic
88.1%
High School Diploma
Tragic
85.5%
Tragic
85.3%
GED/Equivalency
Tragic
81.9%
Tragic
81.9%
College, Under 1 year
Tragic
61.3%
Tragic
62.2%
College, 1 year or more
Tragic
56.6%
Tragic
54.9%
Associate's Degree
Fair
45.2%
Tragic
39.0%
Bachelor's Degree
Average
37.8%
Tragic
29.9%
Master's Degree
Good
15.5%
Tragic
10.5%
Professional Degree
Average
4.4%
Tragic
3.2%
Doctorate Degree
Average
1.8%
Tragic
1.3%

Immigrants from Bangladesh vs Nepalese Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Nepalese communities in the United States are seen in hearing disability (2.4% compared to 3.3%, a difference of 36.3%), disability age 18 to 34 (5.6% compared to 7.1%, a difference of 26.2%), and disability age 65 to 74 (23.6% compared to 28.0%, a difference of 18.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.8% compared to 18.0%, a difference of 0.75%), disability age 5 to 17 (5.2% compared to 5.3%, a difference of 2.4%), and ambulatory disability (6.2% compared to 6.6%, a difference of 6.4%).
Immigrants from Bangladesh vs Nepalese Disability
Disability MetricImmigrants from BangladeshNepalese
Disability
Exceptional
11.0%
Tragic
12.8%
Males
Exceptional
10.3%
Tragic
12.2%
Females
Exceptional
11.8%
Tragic
13.3%
Age | Under 5 years
Exceptional
0.85%
Exceptional
0.97%
Age | 5 to 17 years
Exceptional
5.2%
Exceptional
5.3%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.1%
Age | 35 to 64 years
Excellent
10.9%
Tragic
12.8%
Age | 65 to 74 years
Fair
23.6%
Tragic
28.0%
Age | Over 75 years
Tragic
48.0%
Tragic
52.6%
Vision
Good
2.1%
Tragic
2.4%
Hearing
Exceptional
2.4%
Tragic
3.3%
Cognitive
Tragic
17.8%
Tragic
18.0%
Ambulatory
Fair
6.2%
Tragic
6.6%
Self-Care
Tragic
2.6%
Tragic
3.0%