Indian (Asian) vs Nepalese Community Comparison

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Indian (Asian)
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indians (Asian)

Nepalese

Good
Poor
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK

Nepalese Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 24,438,991 people shows a mild negative correlation between the proportion of Nepalese within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.393. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.006% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 6.5 Nepalese.
Indian (Asian) Integration in Nepalese Communities

Indian (Asian) vs Nepalese Income

When considering income, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in per capita income ($53,874 compared to $38,442, a difference of 40.1%), median male earnings ($66,078 compared to $49,458, a difference of 33.6%), and median family income ($125,312 compared to $94,153, a difference of 33.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $54,472, a difference of 6.9%), wage/income gap (26.4% compared to 22.2%, a difference of 19.1%), and householder income over 65 years ($70,238 compared to $58,761, a difference of 19.5%).
Indian (Asian) vs Nepalese Income
Income MetricIndian (Asian)Nepalese
Per Capita Income
Exceptional
$53,874
Tragic
$38,442
Median Family Income
Exceptional
$125,312
Tragic
$94,153
Median Household Income
Exceptional
$105,262
Poor
$82,410
Median Earnings
Exceptional
$56,253
Tragic
$43,860
Median Male Earnings
Exceptional
$66,078
Tragic
$49,458
Median Female Earnings
Exceptional
$46,481
Tragic
$38,603
Householder Age | Under 25 years
Exceptional
$58,239
Exceptional
$54,472
Householder Age | 25 - 44 years
Exceptional
$119,496
Poor
$91,498
Householder Age | 45 - 64 years
Exceptional
$122,343
Tragic
$93,355
Householder Age | Over 65 years
Exceptional
$70,238
Tragic
$58,761
Wage/Income Gap
Poor
26.4%
Exceptional
22.2%

Indian (Asian) vs Nepalese Poverty

When considering poverty, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in receiving food stamps (9.6% compared to 14.6%, a difference of 51.6%), child poverty among girls under 16 (13.3% compared to 18.6%, a difference of 39.7%), and child poverty under the age of 16 (13.1% compared to 18.2%, a difference of 38.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.7% compared to 12.6%, a difference of 0.87%), single father poverty (14.8% compared to 14.4%, a difference of 2.5%), and single male poverty (11.3% compared to 11.6%, a difference of 2.9%).
Indian (Asian) vs Nepalese Poverty
Poverty MetricIndian (Asian)Nepalese
Poverty
Exceptional
11.3%
Tragic
14.0%
Families
Exceptional
7.7%
Tragic
10.4%
Males
Exceptional
10.4%
Tragic
12.8%
Females
Exceptional
12.2%
Tragic
15.2%
Females 18 to 24 years
Excellent
19.6%
Fair
20.2%
Females 25 to 34 years
Exceptional
11.2%
Tragic
15.2%
Children Under 5 years
Exceptional
13.4%
Tragic
18.3%
Children Under 16 years
Exceptional
13.1%
Tragic
18.2%
Boys Under 16 years
Exceptional
13.3%
Tragic
18.0%
Girls Under 16 years
Exceptional
13.3%
Tragic
18.6%
Single Males
Exceptional
11.3%
Exceptional
11.6%
Single Females
Exceptional
17.9%
Tragic
21.7%
Single Fathers
Exceptional
14.8%
Exceptional
14.4%
Single Mothers
Exceptional
25.8%
Fair
29.3%
Married Couples
Exceptional
4.8%
Tragic
6.5%
Seniors Over 65 years
Fair
11.1%
Tragic
11.5%
Seniors Over 75 years
Tragic
12.7%
Poor
12.6%
Receiving Food Stamps
Exceptional
9.6%
Tragic
14.6%

Indian (Asian) vs Nepalese Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 10.1%, a difference of 27.0%), unemployment among ages 35 to 44 years (4.4% compared to 5.6%, a difference of 26.5%), and male unemployment (5.2% compared to 6.4%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (7.7% compared to 7.7%, a difference of 0.13%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.59%), and unemployment among ages 20 to 24 years (10.3% compared to 10.6%, a difference of 3.2%).
Indian (Asian) vs Nepalese Unemployment
Unemployment MetricIndian (Asian)Nepalese
Unemployment
Excellent
5.1%
Tragic
6.2%
Males
Good
5.2%
Tragic
6.4%
Females
Excellent
5.1%
Tragic
5.9%
Youth < 25
Good
11.5%
Tragic
12.5%
Age | 16 to 19 years
Good
17.3%
Tragic
18.2%
Age | 20 to 24 years
Good
10.3%
Tragic
10.6%
Age | 25 to 29 years
Exceptional
6.3%
Tragic
7.5%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
5.9%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.6%
Age | 45 to 54 years
Good
4.5%
Tragic
5.0%
Age | 55 to 59 years
Tragic
4.9%
Tragic
5.6%
Age | 60 to 64 years
Tragic
5.0%
Tragic
5.2%
Age | 65 to 74 years
Average
5.3%
Exceptional
5.0%
Seniors > 65
Average
5.2%
Good
5.1%
Seniors > 75
Exceptional
8.0%
Tragic
10.1%
Women w/ Children < 6
Exceptional
6.3%
Average
7.7%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
7.7%
Women w/ Children < 18
Exceptional
4.9%
Tragic
6.0%

Indian (Asian) vs Nepalese Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 33.5%, a difference of 5.2%), in labor force | age 20-24 (71.9% compared to 74.5%, a difference of 3.6%), and in labor force | age 45-54 (83.3% compared to 80.5%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 82.9%, a difference of 2.2%), in labor force | age > 16 (65.5% compared to 63.8%, a difference of 2.7%), and in labor force | age 35-44 (84.8% compared to 82.4%, a difference of 2.9%).
Indian (Asian) vs Nepalese Labor Participation
Labor Participation MetricIndian (Asian)Nepalese
In Labor Force | Age > 16
Excellent
65.5%
Tragic
63.8%
In Labor Force | Age 20-64
Excellent
79.9%
Tragic
77.5%
In Labor Force | Age 16-19
Tragic
31.9%
Tragic
33.5%
In Labor Force | Age 20-24
Tragic
71.9%
Poor
74.5%
In Labor Force | Age 25-29
Good
84.7%
Tragic
82.9%
In Labor Force | Age 30-34
Exceptional
85.4%
Tragic
82.7%
In Labor Force | Age 35-44
Exceptional
84.8%
Tragic
82.4%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
80.5%

Indian (Asian) vs Nepalese Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in single father households (1.9% compared to 3.1%, a difference of 63.6%), single mother households (5.1% compared to 7.5%, a difference of 46.0%), and births to unmarried women (25.3% compared to 33.5%, a difference of 32.7%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 67.2%, a difference of 3.2%), average family size (3.24 compared to 3.42, a difference of 5.5%), and married-couple households (48.7% compared to 45.6%, a difference of 6.9%).
Indian (Asian) vs Nepalese Family Structure
Family Structure MetricIndian (Asian)Nepalese
Family Households
Exceptional
65.1%
Exceptional
67.2%
Family Households with Children
Good
27.6%
Exceptional
30.5%
Married-couple Households
Exceptional
48.7%
Poor
45.6%
Average Family Size
Good
3.24
Exceptional
3.42
Single Father Households
Exceptional
1.9%
Tragic
3.1%
Single Mother Households
Exceptional
5.1%
Tragic
7.5%
Currently Married
Exceptional
48.0%
Tragic
44.7%
Divorced or Separated
Exceptional
10.2%
Tragic
12.5%
Births to Unmarried Women
Exceptional
25.3%
Tragic
33.5%

Indian (Asian) vs Nepalese Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in no vehicles in household (14.1% compared to 7.4%, a difference of 90.2%), 4 or more vehicles in household (6.4% compared to 8.7%, a difference of 35.9%), and 3 or more vehicles in household (19.1% compared to 24.9%, a difference of 30.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 92.6%, a difference of 7.6%), 2 or more vehicles in household (53.1% compared to 61.4%, a difference of 15.7%), and 3 or more vehicles in household (19.1% compared to 24.9%, a difference of 30.4%).
Indian (Asian) vs Nepalese Vehicle Availability
Vehicle Availability MetricIndian (Asian)Nepalese
No Vehicles Available
Tragic
14.1%
Exceptional
7.4%
1+ Vehicles Available
Tragic
86.0%
Exceptional
92.6%
2+ Vehicles Available
Tragic
53.1%
Exceptional
61.4%
3+ Vehicles Available
Fair
19.1%
Exceptional
24.9%
4+ Vehicles Available
Good
6.4%
Exceptional
8.7%

Indian (Asian) vs Nepalese Education Level

When considering education level, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in doctorate degree (2.9% compared to 1.3%, a difference of 132.1%), professional degree (6.5% compared to 3.2%, a difference of 101.5%), and master's degree (20.5% compared to 10.5%, a difference of 95.3%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 96.1%, a difference of 1.4%), 2nd grade (97.5% compared to 96.1%, a difference of 1.5%), and nursery school (97.6% compared to 96.2%, a difference of 1.5%).
Indian (Asian) vs Nepalese Education Level
Education Level MetricIndian (Asian)Nepalese
No Schooling Completed
Tragic
2.5%
Tragic
3.8%
Nursery School
Tragic
97.6%
Tragic
96.2%
Kindergarten
Tragic
97.6%
Tragic
96.2%
1st Grade
Tragic
97.5%
Tragic
96.1%
2nd Grade
Tragic
97.5%
Tragic
96.1%
3rd Grade
Tragic
97.4%
Tragic
95.9%
4th Grade
Tragic
97.2%
Tragic
95.5%
5th Grade
Tragic
96.9%
Tragic
95.2%
6th Grade
Tragic
96.6%
Tragic
94.9%
7th Grade
Tragic
95.5%
Tragic
93.2%
8th Grade
Tragic
95.2%
Tragic
92.8%
9th Grade
Tragic
94.5%
Tragic
92.0%
10th Grade
Poor
93.4%
Tragic
90.7%
11th Grade
Average
92.5%
Tragic
89.5%
12th Grade, No Diploma
Good
91.5%
Tragic
88.1%
High School Diploma
Good
89.6%
Tragic
85.3%
GED/Equivalency
Exceptional
87.1%
Tragic
81.9%
College, Under 1 year
Exceptional
70.8%
Tragic
62.2%
College, 1 year or more
Exceptional
66.1%
Tragic
54.9%
Associate's Degree
Exceptional
54.8%
Tragic
39.0%
Bachelor's Degree
Exceptional
47.4%
Tragic
29.9%
Master's Degree
Exceptional
20.5%
Tragic
10.5%
Professional Degree
Exceptional
6.5%
Tragic
3.2%
Doctorate Degree
Exceptional
2.9%
Tragic
1.3%

Indian (Asian) vs Nepalese Disability

When considering disability, the most significant differences between Indian (Asian) and Nepalese communities in the United States are seen in disability age 35 to 64 (8.9% compared to 12.8%, a difference of 44.8%), disability age 65 to 74 (20.5% compared to 28.0%, a difference of 36.5%), and vision disability (1.8% compared to 2.4%, a difference of 32.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.0% compared to 0.97%, a difference of 3.0%), cognitive disability (16.8% compared to 18.0%, a difference of 6.7%), and disability age over 75 (46.5% compared to 52.6%, a difference of 13.0%).
Indian (Asian) vs Nepalese Disability
Disability MetricIndian (Asian)Nepalese
Disability
Exceptional
10.3%
Tragic
12.8%
Males
Exceptional
9.7%
Tragic
12.2%
Females
Exceptional
10.8%
Tragic
13.3%
Age | Under 5 years
Exceptional
1.0%
Exceptional
0.97%
Age | 5 to 17 years
Exceptional
4.6%
Exceptional
5.3%
Age | 18 to 34 years
Exceptional
5.5%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
8.9%
Tragic
12.8%
Age | 65 to 74 years
Exceptional
20.5%
Tragic
28.0%
Age | Over 75 years
Exceptional
46.5%
Tragic
52.6%
Vision
Exceptional
1.8%
Tragic
2.4%
Hearing
Exceptional
2.7%
Tragic
3.3%
Cognitive
Exceptional
16.8%
Tragic
18.0%
Ambulatory
Exceptional
5.4%
Tragic
6.6%
Self-Care
Exceptional
2.3%
Tragic
3.0%