Soviet Union vs Nepalese Community Comparison

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Soviet Union
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 IndianSpaniardSpanishSpanish 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

Soviet Union

Nepalese

Good
Poor
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK

Nepalese Integration in Soviet Union Communities

The statistical analysis conducted on geographies consisting of 6,957,938 people shows a near-perfect positive correlation between the proportion of Nepalese within Soviet Union communities in the United States with a correlation coefficient (R) of 0.945. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is an increase of 1.096% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to an increase of 1,095.7 Nepalese.
Soviet Union Integration in Nepalese Communities

Soviet Union vs Nepalese Income

When considering income, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in per capita income ($54,202 compared to $38,442, a difference of 41.0%), median male earnings ($63,382 compared to $49,458, a difference of 28.1%), and median family income ($119,262 compared to $94,153, a difference of 26.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,340 compared to $54,472, a difference of 1.6%), householder income over 65 years ($62,848 compared to $58,761, a difference of 7.0%), and wage/income gap (24.2% compared to 22.2%, a difference of 9.0%).
Soviet Union vs Nepalese Income
Income MetricSoviet UnionNepalese
Per Capita Income
Exceptional
$54,202
Tragic
$38,442
Median Family Income
Exceptional
$119,262
Tragic
$94,153
Median Household Income
Exceptional
$95,098
Poor
$82,410
Median Earnings
Exceptional
$54,290
Tragic
$43,860
Median Male Earnings
Exceptional
$63,382
Tragic
$49,458
Median Female Earnings
Exceptional
$46,556
Tragic
$38,603
Householder Age | Under 25 years
Exceptional
$55,340
Exceptional
$54,472
Householder Age | 25 - 44 years
Exceptional
$108,457
Poor
$91,498
Householder Age | 45 - 64 years
Exceptional
$112,008
Tragic
$93,355
Householder Age | Over 65 years
Excellent
$62,848
Tragic
$58,761
Wage/Income Gap
Exceptional
24.2%
Exceptional
22.2%

Soviet Union vs Nepalese Poverty

When considering poverty, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in married-couple family poverty (4.9% compared to 6.5%, a difference of 34.0%), receiving food stamps (11.1% compared to 14.6%, a difference of 31.8%), and child poverty among girls under 16 (14.8% compared to 18.6%, a difference of 26.0%). Conversely, both communities are more comparable in terms of single male poverty (11.5% compared to 11.6%, a difference of 1.0%), single father poverty (14.3% compared to 14.4%, a difference of 1.2%), and female poverty among 18-24 year olds (19.5% compared to 20.2%, a difference of 3.6%).
Soviet Union vs Nepalese Poverty
Poverty MetricSoviet UnionNepalese
Poverty
Excellent
11.7%
Tragic
14.0%
Families
Exceptional
8.3%
Tragic
10.4%
Males
Good
11.1%
Tragic
12.8%
Females
Exceptional
12.6%
Tragic
15.2%
Females 18 to 24 years
Exceptional
19.5%
Fair
20.2%
Females 25 to 34 years
Exceptional
12.1%
Tragic
15.2%
Children Under 5 years
Exceptional
14.7%
Tragic
18.3%
Children Under 16 years
Exceptional
14.5%
Tragic
18.2%
Boys Under 16 years
Exceptional
14.5%
Tragic
18.0%
Girls Under 16 years
Exceptional
14.8%
Tragic
18.6%
Single Males
Exceptional
11.5%
Exceptional
11.6%
Single Females
Exceptional
19.6%
Tragic
21.7%
Single Fathers
Exceptional
14.3%
Exceptional
14.4%
Single Mothers
Exceptional
27.3%
Fair
29.3%
Married Couples
Exceptional
4.9%
Tragic
6.5%
Seniors Over 65 years
Tragic
12.6%
Tragic
11.5%
Seniors Over 75 years
Tragic
14.5%
Poor
12.6%
Receiving Food Stamps
Excellent
11.1%
Tragic
14.6%

Soviet Union vs Nepalese Unemployment

When considering unemployment, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in unemployment among seniors over 75 years (6.6% compared to 10.1%, a difference of 52.1%), unemployment among women with children under 18 years (4.9% compared to 6.0%, a difference of 22.4%), and unemployment among ages 25 to 29 years (6.2% compared to 7.5%, a difference of 21.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 1.3%), unemployment among youth under 25 years (12.2% compared to 12.5%, a difference of 2.4%), and unemployment among ages 60 to 64 years (5.4% compared to 5.2%, a difference of 3.3%).
Soviet Union vs Nepalese Unemployment
Unemployment MetricSoviet UnionNepalese
Unemployment
Poor
5.4%
Tragic
6.2%
Males
Tragic
5.6%
Tragic
6.4%
Females
Fair
5.4%
Tragic
5.9%
Youth < 25
Tragic
12.2%
Tragic
12.5%
Age | 16 to 19 years
Exceptional
16.8%
Tragic
18.2%
Age | 20 to 24 years
Tragic
11.7%
Tragic
10.6%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
7.5%
Age | 30 to 34 years
Exceptional
5.0%
Tragic
5.9%
Age | 35 to 44 years
Poor
4.8%
Tragic
5.6%
Age | 45 to 54 years
Tragic
4.7%
Tragic
5.0%
Age | 55 to 59 years
Tragic
5.1%
Tragic
5.6%
Age | 60 to 64 years
Tragic
5.4%
Tragic
5.2%
Age | 65 to 74 years
Fair
5.4%
Exceptional
5.0%
Seniors > 65
Exceptional
5.1%
Good
5.1%
Seniors > 75
Exceptional
6.6%
Tragic
10.1%
Women w/ Children < 6
Exceptional
6.5%
Average
7.7%
Women w/ Children 6 to 17
Exceptional
7.1%
Exceptional
7.7%
Women w/ Children < 18
Exceptional
4.9%
Tragic
6.0%

Soviet Union vs Nepalese Labor Participation

When considering labor participation, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 33.5%, a difference of 6.7%), in labor force | age 20-64 (80.2% compared to 77.5%, a difference of 3.5%), and in labor force | age 30-34 (85.5% compared to 82.7%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.0% compared to 63.8%, a difference of 1.9%), in labor force | age 25-29 (85.3% compared to 82.9%, a difference of 2.9%), and in labor force | age 45-54 (83.0% compared to 80.5%, a difference of 3.0%).
Soviet Union vs Nepalese Labor Participation
Labor Participation MetricSoviet UnionNepalese
In Labor Force | Age > 16
Average
65.0%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
77.5%
In Labor Force | Age 16-19
Tragic
31.4%
Tragic
33.5%
In Labor Force | Age 20-24
Tragic
72.3%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
85.3%
Tragic
82.9%
In Labor Force | Age 30-34
Exceptional
85.5%
Tragic
82.7%
In Labor Force | Age 35-44
Exceptional
85.1%
Tragic
82.4%
In Labor Force | Age 45-54
Good
83.0%
Tragic
80.5%

Soviet Union vs Nepalese Family Structure

When considering family structure, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in single father households (1.8% compared to 3.1%, a difference of 73.8%), single mother households (5.1% compared to 7.5%, a difference of 45.7%), and births to unmarried women (26.3% compared to 33.5%, a difference of 27.4%). Conversely, both communities are more comparable in terms of married-couple households (44.6% compared to 45.6%, a difference of 2.1%), currently married (46.2% compared to 44.7%, a difference of 3.2%), and average family size (3.11 compared to 3.42, a difference of 9.8%).
Soviet Union vs Nepalese Family Structure
Family Structure MetricSoviet UnionNepalese
Family Households
Tragic
60.9%
Exceptional
67.2%
Family Households with Children
Tragic
24.8%
Exceptional
30.5%
Married-couple Households
Tragic
44.6%
Poor
45.6%
Average Family Size
Tragic
3.11
Exceptional
3.42
Single Father Households
Exceptional
1.8%
Tragic
3.1%
Single Mother Households
Exceptional
5.1%
Tragic
7.5%
Currently Married
Fair
46.2%
Tragic
44.7%
Divorced or Separated
Exceptional
11.1%
Tragic
12.5%
Births to Unmarried Women
Exceptional
26.3%
Tragic
33.5%

Soviet Union vs Nepalese Vehicle Availability

When considering vehicle availability, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in no vehicles in household (17.4% compared to 7.4%, a difference of 135.8%), 4 or more vehicles in household (4.4% compared to 8.7%, a difference of 97.6%), and 3 or more vehicles in household (14.2% compared to 24.9%, a difference of 75.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (82.7% compared to 92.6%, a difference of 12.0%), 2 or more vehicles in household (45.7% compared to 61.4%, a difference of 34.3%), and 3 or more vehicles in household (14.2% compared to 24.9%, a difference of 75.7%).
Soviet Union vs Nepalese Vehicle Availability
Vehicle Availability MetricSoviet UnionNepalese
No Vehicles Available
Tragic
17.4%
Exceptional
7.4%
1+ Vehicles Available
Tragic
82.7%
Exceptional
92.6%
2+ Vehicles Available
Tragic
45.7%
Exceptional
61.4%
3+ Vehicles Available
Tragic
14.2%
Exceptional
24.9%
4+ Vehicles Available
Tragic
4.4%
Exceptional
8.7%

Soviet Union vs Nepalese Education Level

When considering education level, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in professional degree (6.6% compared to 3.2%, a difference of 102.8%), doctorate degree (2.5% compared to 1.3%, a difference of 97.9%), and master's degree (20.5% compared to 10.5%, a difference of 96.0%). Conversely, both communities are more comparable in terms of kindergarten (98.0% compared to 96.2%, a difference of 1.9%), 1st grade (98.0% compared to 96.1%, a difference of 1.9%), and nursery school (98.0% compared to 96.2%, a difference of 1.9%).
Soviet Union vs Nepalese Education Level
Education Level MetricSoviet UnionNepalese
No Schooling Completed
Good
2.0%
Tragic
3.8%
Nursery School
Good
98.0%
Tragic
96.2%
Kindergarten
Good
98.0%
Tragic
96.2%
1st Grade
Good
98.0%
Tragic
96.1%
2nd Grade
Good
97.9%
Tragic
96.1%
3rd Grade
Good
97.8%
Tragic
95.9%
4th Grade
Good
97.6%
Tragic
95.5%
5th Grade
Excellent
97.5%
Tragic
95.2%
6th Grade
Good
97.2%
Tragic
94.9%
7th Grade
Exceptional
96.4%
Tragic
93.2%
8th Grade
Exceptional
96.1%
Tragic
92.8%
9th Grade
Exceptional
95.4%
Tragic
92.0%
10th Grade
Exceptional
94.6%
Tragic
90.7%
11th Grade
Exceptional
93.7%
Tragic
89.5%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
88.1%
High School Diploma
Exceptional
90.9%
Tragic
85.3%
GED/Equivalency
Exceptional
88.0%
Tragic
81.9%
College, Under 1 year
Exceptional
71.1%
Tragic
62.2%
College, 1 year or more
Exceptional
66.4%
Tragic
54.9%
Associate's Degree
Exceptional
55.1%
Tragic
39.0%
Bachelor's Degree
Exceptional
47.9%
Tragic
29.9%
Master's Degree
Exceptional
20.5%
Tragic
10.5%
Professional Degree
Exceptional
6.6%
Tragic
3.2%
Doctorate Degree
Exceptional
2.5%
Tragic
1.3%

Soviet Union vs Nepalese Disability

When considering disability, the most significant differences between Soviet Union and Nepalese communities in the United States are seen in disability age 35 to 64 (9.2% compared to 12.8%, a difference of 38.6%), disability age 65 to 74 (21.0% compared to 28.0%, a difference of 33.7%), and disability age 18 to 34 (5.7% compared to 7.1%, a difference of 24.0%). Conversely, both communities are more comparable in terms of disability age under 5 (0.95% compared to 0.97%, a difference of 2.9%), disability age 5 to 17 (5.0% compared to 5.3%, a difference of 6.6%), and cognitive disability (16.5% compared to 18.0%, a difference of 8.8%).
Soviet Union vs Nepalese Disability
Disability MetricSoviet UnionNepalese
Disability
Exceptional
10.9%
Tragic
12.8%
Males
Exceptional
10.1%
Tragic
12.2%
Females
Exceptional
11.7%
Tragic
13.3%
Age | Under 5 years
Exceptional
0.95%
Exceptional
0.97%
Age | 5 to 17 years
Exceptional
5.0%
Exceptional
5.3%
Age | 18 to 34 years
Exceptional
5.7%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
12.8%
Age | 65 to 74 years
Exceptional
21.0%
Tragic
28.0%
Age | Over 75 years
Exceptional
46.2%
Tragic
52.6%
Vision
Exceptional
2.0%
Tragic
2.4%
Hearing
Excellent
2.9%
Tragic
3.3%
Cognitive
Exceptional
16.5%
Tragic
18.0%
Ambulatory
Exceptional
5.8%
Tragic
6.6%
Self-Care
Fair
2.5%
Tragic
3.0%