Nepalese vs Burmese Community Comparison

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Nepalese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianCajunCambodianCanadianCape 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
Burmese
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

Burmese

Poor
Exceptional
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Nepalese Communities

The statistical analysis conducted on geographies consisting of 24,190,384 people shows a substantial negative correlation between the proportion of Burmese within Nepalese communities in the United States with a correlation coefficient (R) of -0.561. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is a decrease of 0.330% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to a decrease of 330.4 Burmese.
Nepalese Integration in Burmese Communities

Nepalese vs Burmese Income

When considering income, the most significant differences between Nepalese and Burmese communities in the United States are seen in per capita income ($38,442 compared to $52,005, a difference of 35.3%), median male earnings ($49,458 compared to $65,236, a difference of 31.9%), and median family income ($94,153 compared to $123,369, a difference of 31.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,472 compared to $54,800, a difference of 0.60%), median female earnings ($38,603 compared to $44,911, a difference of 16.3%), and householder income over 65 years ($58,761 compared to $71,139, a difference of 21.1%).
Nepalese vs Burmese Income
Income MetricNepaleseBurmese
Per Capita Income
Tragic
$38,442
Exceptional
$52,005
Median Family Income
Tragic
$94,153
Exceptional
$123,369
Median Household Income
Poor
$82,410
Exceptional
$103,145
Median Earnings
Tragic
$43,860
Exceptional
$54,559
Median Male Earnings
Tragic
$49,458
Exceptional
$65,236
Median Female Earnings
Tragic
$38,603
Exceptional
$44,911
Householder Age | Under 25 years
Exceptional
$54,472
Exceptional
$54,800
Householder Age | 25 - 44 years
Poor
$91,498
Exceptional
$113,701
Householder Age | 45 - 64 years
Tragic
$93,355
Exceptional
$121,444
Householder Age | Over 65 years
Tragic
$58,761
Exceptional
$71,139
Wage/Income Gap
Exceptional
22.2%
Tragic
28.0%

Nepalese vs Burmese Poverty

When considering poverty, the most significant differences between Nepalese and Burmese communities in the United States are seen in receiving food stamps (14.6% compared to 8.6%, a difference of 68.8%), married-couple family poverty (6.5% compared to 4.3%, a difference of 51.2%), and child poverty among girls under 16 (18.6% compared to 13.0%, a difference of 43.0%). Conversely, both communities are more comparable in terms of single male poverty (11.6% compared to 11.7%, a difference of 1.2%), female poverty among 18-24 year olds (20.2% compared to 18.9%, a difference of 6.9%), and single father poverty (14.4% compared to 15.5%, a difference of 7.2%).
Nepalese vs Burmese Poverty
Poverty MetricNepaleseBurmese
Poverty
Tragic
14.0%
Exceptional
10.7%
Families
Tragic
10.4%
Exceptional
7.3%
Males
Tragic
12.8%
Exceptional
9.7%
Females
Tragic
15.2%
Exceptional
11.6%
Females 18 to 24 years
Fair
20.2%
Exceptional
18.9%
Females 25 to 34 years
Tragic
15.2%
Exceptional
11.2%
Children Under 5 years
Tragic
18.3%
Exceptional
13.2%
Children Under 16 years
Tragic
18.2%
Exceptional
12.8%
Boys Under 16 years
Tragic
18.0%
Exceptional
13.0%
Girls Under 16 years
Tragic
18.6%
Exceptional
13.0%
Single Males
Exceptional
11.6%
Exceptional
11.7%
Single Females
Tragic
21.7%
Exceptional
18.3%
Single Fathers
Exceptional
14.4%
Exceptional
15.5%
Single Mothers
Fair
29.3%
Exceptional
26.2%
Married Couples
Tragic
6.5%
Exceptional
4.3%
Seniors Over 65 years
Tragic
11.5%
Exceptional
10.1%
Seniors Over 75 years
Poor
12.6%
Excellent
11.7%
Receiving Food Stamps
Tragic
14.6%
Exceptional
8.6%

Nepalese vs Burmese Unemployment

When considering unemployment, the most significant differences between Nepalese and Burmese communities in the United States are seen in male unemployment (6.4% compared to 4.9%, a difference of 31.1%), unemployment among ages 35 to 44 years (5.6% compared to 4.3%, a difference of 29.6%), and unemployment (6.2% compared to 4.9%, a difference of 25.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 2.3%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.0%, a difference of 3.1%), and unemployment among ages 65 to 74 years (5.0% compared to 5.2%, a difference of 3.5%).
Nepalese vs Burmese Unemployment
Unemployment MetricNepaleseBurmese
Unemployment
Tragic
6.2%
Exceptional
4.9%
Males
Tragic
6.4%
Exceptional
4.9%
Females
Tragic
5.9%
Exceptional
5.0%
Youth < 25
Tragic
12.5%
Excellent
11.3%
Age | 16 to 19 years
Tragic
18.2%
Exceptional
17.0%
Age | 20 to 24 years
Tragic
10.6%
Excellent
10.2%
Age | 25 to 29 years
Tragic
7.5%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
5.9%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
5.6%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
5.0%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.6%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.2%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.0%
Exceptional
5.2%
Seniors > 65
Good
5.1%
Exceptional
5.0%
Seniors > 75
Tragic
10.1%
Exceptional
8.2%
Women w/ Children < 6
Average
7.7%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
8.0%
Women w/ Children < 18
Tragic
6.0%
Exceptional
4.9%

Nepalese vs Burmese Labor Participation

When considering labor participation, the most significant differences between Nepalese and Burmese communities in the United States are seen in in labor force | age 45-54 (80.5% compared to 83.6%, a difference of 3.8%), in labor force | age > 16 (63.8% compared to 66.2%, a difference of 3.7%), and in labor force | age 20-64 (77.5% compared to 80.3%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.5% compared to 73.6%, a difference of 1.2%), in labor force | age 25-29 (82.9% compared to 85.1%, a difference of 2.7%), and in labor force | age 35-44 (82.4% compared to 84.7%, a difference of 2.8%).
Nepalese vs Burmese Labor Participation
Labor Participation MetricNepaleseBurmese
In Labor Force | Age > 16
Tragic
63.8%
Exceptional
66.2%
In Labor Force | Age 20-64
Tragic
77.5%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
33.5%
Tragic
34.5%
In Labor Force | Age 20-24
Poor
74.5%
Tragic
73.6%
In Labor Force | Age 25-29
Tragic
82.9%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
82.7%
Exceptional
85.3%
In Labor Force | Age 35-44
Tragic
82.4%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
80.5%
Exceptional
83.6%

Nepalese vs Burmese Family Structure

When considering family structure, the most significant differences between Nepalese and Burmese communities in the United States are seen in single father households (3.1% compared to 2.0%, a difference of 53.4%), single mother households (7.5% compared to 5.3%, a difference of 41.0%), and births to unmarried women (33.5% compared to 26.4%, a difference of 27.2%). Conversely, both communities are more comparable in terms of family households (67.2% compared to 65.7%, a difference of 2.2%), average family size (3.42 compared to 3.22, a difference of 6.4%), and family households with children (30.5% compared to 28.5%, a difference of 7.1%).
Nepalese vs Burmese Family Structure
Family Structure MetricNepaleseBurmese
Family Households
Exceptional
67.2%
Exceptional
65.7%
Family Households with Children
Exceptional
30.5%
Exceptional
28.5%
Married-couple Households
Poor
45.6%
Exceptional
49.8%
Average Family Size
Exceptional
3.42
Fair
3.22
Single Father Households
Tragic
3.1%
Exceptional
2.0%
Single Mother Households
Tragic
7.5%
Exceptional
5.3%
Currently Married
Tragic
44.7%
Exceptional
48.9%
Divorced or Separated
Tragic
12.5%
Exceptional
10.7%
Births to Unmarried Women
Tragic
33.5%
Exceptional
26.4%

Nepalese vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Nepalese and Burmese communities in the United States are seen in no vehicles in household (7.4% compared to 9.7%, a difference of 30.9%), 4 or more vehicles in household (8.7% compared to 6.8%, a difference of 28.2%), and 3 or more vehicles in household (24.9% compared to 20.6%, a difference of 20.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.6% compared to 90.4%, a difference of 2.4%), 2 or more vehicles in household (61.4% compared to 57.8%, a difference of 6.3%), and 3 or more vehicles in household (24.9% compared to 20.6%, a difference of 20.7%).
Nepalese vs Burmese Vehicle Availability
Vehicle Availability MetricNepaleseBurmese
No Vehicles Available
Exceptional
7.4%
Excellent
9.7%
1+ Vehicles Available
Exceptional
92.6%
Excellent
90.4%
2+ Vehicles Available
Exceptional
61.4%
Exceptional
57.8%
3+ Vehicles Available
Exceptional
24.9%
Exceptional
20.6%
4+ Vehicles Available
Exceptional
8.7%
Exceptional
6.8%

Nepalese vs Burmese Education Level

When considering education level, the most significant differences between Nepalese and Burmese communities in the United States are seen in doctorate degree (1.3% compared to 2.6%, a difference of 110.2%), no schooling completed (3.8% compared to 1.9%, a difference of 95.3%), and professional degree (3.2% compared to 6.1%, a difference of 89.8%). Conversely, both communities are more comparable in terms of nursery school (96.2% compared to 98.1%, a difference of 2.0%), kindergarten (96.2% compared to 98.1%, a difference of 2.0%), and 1st grade (96.1% compared to 98.0%, a difference of 2.0%).
Nepalese vs Burmese Education Level
Education Level MetricNepaleseBurmese
No Schooling Completed
Tragic
3.8%
Excellent
1.9%
Nursery School
Tragic
96.2%
Excellent
98.1%
Kindergarten
Tragic
96.2%
Excellent
98.1%
1st Grade
Tragic
96.1%
Excellent
98.0%
2nd Grade
Tragic
96.1%
Excellent
98.0%
3rd Grade
Tragic
95.9%
Good
97.9%
4th Grade
Tragic
95.5%
Excellent
97.7%
5th Grade
Tragic
95.2%
Excellent
97.5%
6th Grade
Tragic
94.9%
Excellent
97.3%
7th Grade
Tragic
93.2%
Excellent
96.3%
8th Grade
Tragic
92.8%
Exceptional
96.1%
9th Grade
Tragic
92.0%
Exceptional
95.4%
10th Grade
Tragic
90.7%
Exceptional
94.5%
11th Grade
Tragic
89.5%
Exceptional
93.6%
12th Grade, No Diploma
Tragic
88.1%
Exceptional
92.6%
High School Diploma
Tragic
85.3%
Exceptional
90.8%
GED/Equivalency
Tragic
81.9%
Exceptional
88.3%
College, Under 1 year
Tragic
62.2%
Exceptional
71.9%
College, 1 year or more
Tragic
54.9%
Exceptional
66.7%
Associate's Degree
Tragic
39.0%
Exceptional
54.6%
Bachelor's Degree
Tragic
29.9%
Exceptional
46.9%
Master's Degree
Tragic
10.5%
Exceptional
19.7%
Professional Degree
Tragic
3.2%
Exceptional
6.1%
Doctorate Degree
Tragic
1.3%
Exceptional
2.6%

Nepalese vs Burmese Disability

When considering disability, the most significant differences between Nepalese and Burmese communities in the United States are seen in disability age 35 to 64 (12.8% compared to 9.2%, a difference of 39.2%), disability age 65 to 74 (28.0% compared to 20.6%, a difference of 35.9%), and vision disability (2.4% compared to 1.8%, a difference of 32.2%). Conversely, both communities are more comparable in terms of cognitive disability (18.0% compared to 16.7%, a difference of 7.9%), disability age 5 to 17 (5.3% compared to 4.8%, a difference of 10.9%), and disability age over 75 (52.6% compared to 45.9%, a difference of 14.5%).
Nepalese vs Burmese Disability
Disability MetricNepaleseBurmese
Disability
Tragic
12.8%
Exceptional
10.4%
Males
Tragic
12.2%
Exceptional
10.0%
Females
Tragic
13.3%
Exceptional
10.7%
Age | Under 5 years
Exceptional
0.97%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.3%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.1%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
12.8%
Exceptional
9.2%
Age | 65 to 74 years
Tragic
28.0%
Exceptional
20.6%
Age | Over 75 years
Tragic
52.6%
Exceptional
45.9%
Vision
Tragic
2.4%
Exceptional
1.8%
Hearing
Tragic
3.3%
Exceptional
2.8%
Cognitive
Tragic
18.0%
Exceptional
16.7%
Ambulatory
Tragic
6.6%
Exceptional
5.3%
Self-Care
Tragic
3.0%
Exceptional
2.3%