Nepalese vs Czechoslovakian Community Comparison

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Nepalese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechDanishDelawareDominicanDutchDutch 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
Czechoslovakian
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

Czechoslovakians

Poor
Good
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
7,027
SOCIAL INDEX
67.8/ 100
SOCIAL RATING
132nd/ 347
SOCIAL RANK

Czechoslovakian Integration in Nepalese Communities

The statistical analysis conducted on geographies consisting of 20,324,622 people shows a poor positive correlation between the proportion of Czechoslovakians within Nepalese communities in the United States with a correlation coefficient (R) of 0.139. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is an increase of 0.020% in Czechoslovakians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to an increase of 19.7 Czechoslovakians.
Nepalese Integration in Czechoslovakian Communities

Nepalese vs Czechoslovakian Income

When considering income, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in wage/income gap (22.2% compared to 28.2%, a difference of 26.9%), per capita income ($38,442 compared to $43,806, a difference of 14.0%), and median male earnings ($49,458 compared to $55,382, a difference of 12.0%). Conversely, both communities are more comparable in terms of median female earnings ($38,603 compared to $38,738, a difference of 0.35%), median household income ($82,410 compared to $84,965, a difference of 3.1%), and householder income over 65 years ($58,761 compared to $60,581, a difference of 3.1%).
Nepalese vs Czechoslovakian Income
Income MetricNepaleseCzechoslovakian
Per Capita Income
Tragic
$38,442
Average
$43,806
Median Family Income
Tragic
$94,153
Average
$103,273
Median Household Income
Poor
$82,410
Average
$84,965
Median Earnings
Tragic
$43,860
Average
$46,658
Median Male Earnings
Tragic
$49,458
Good
$55,382
Median Female Earnings
Tragic
$38,603
Poor
$38,738
Householder Age | Under 25 years
Exceptional
$54,472
Tragic
$51,224
Householder Age | 25 - 44 years
Poor
$91,498
Average
$95,070
Householder Age | 45 - 64 years
Tragic
$93,355
Good
$101,387
Householder Age | Over 65 years
Tragic
$58,761
Average
$60,581
Wage/Income Gap
Exceptional
22.2%
Tragic
28.2%

Nepalese vs Czechoslovakian Poverty

When considering poverty, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in married-couple family poverty (6.5% compared to 4.4%, a difference of 50.2%), receiving food stamps (14.6% compared to 10.3%, a difference of 41.9%), and family poverty (10.4% compared to 8.0%, a difference of 30.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.2% compared to 20.0%, a difference of 1.1%), single mother poverty (29.3% compared to 29.7%, a difference of 1.4%), and single female poverty (21.7% compared to 21.3%, a difference of 2.0%).
Nepalese vs Czechoslovakian Poverty
Poverty MetricNepaleseCzechoslovakian
Poverty
Tragic
14.0%
Exceptional
11.4%
Families
Tragic
10.4%
Exceptional
8.0%
Males
Tragic
12.8%
Exceptional
10.3%
Females
Tragic
15.2%
Exceptional
12.4%
Females 18 to 24 years
Fair
20.2%
Good
20.0%
Females 25 to 34 years
Tragic
15.2%
Fair
13.7%
Children Under 5 years
Tragic
18.3%
Good
16.8%
Children Under 16 years
Tragic
18.2%
Exceptional
15.1%
Boys Under 16 years
Tragic
18.0%
Exceptional
15.3%
Girls Under 16 years
Tragic
18.6%
Excellent
15.5%
Single Males
Exceptional
11.6%
Tragic
13.4%
Single Females
Tragic
21.7%
Fair
21.3%
Single Fathers
Exceptional
14.4%
Tragic
17.1%
Single Mothers
Fair
29.3%
Poor
29.7%
Married Couples
Tragic
6.5%
Exceptional
4.4%
Seniors Over 65 years
Tragic
11.5%
Exceptional
9.5%
Seniors Over 75 years
Poor
12.6%
Exceptional
10.9%
Receiving Food Stamps
Tragic
14.6%
Exceptional
10.3%

Nepalese vs Czechoslovakian Unemployment

When considering unemployment, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in male unemployment (6.4% compared to 5.0%, a difference of 29.8%), unemployment (6.2% compared to 4.8%, a difference of 29.1%), and female unemployment (5.9% compared to 4.8%, a difference of 22.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.7% compared to 7.7%, a difference of 0.35%), unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 2.3%), and unemployment among ages 65 to 74 years (5.0% compared to 5.3%, a difference of 4.6%).
Nepalese vs Czechoslovakian Unemployment
Unemployment MetricNepaleseCzechoslovakian
Unemployment
Tragic
6.2%
Exceptional
4.8%
Males
Tragic
6.4%
Exceptional
5.0%
Females
Tragic
5.9%
Exceptional
4.8%
Youth < 25
Tragic
12.5%
Exceptional
11.0%
Age | 16 to 19 years
Tragic
18.2%
Exceptional
16.5%
Age | 20 to 24 years
Tragic
10.6%
Exceptional
9.9%
Age | 25 to 29 years
Tragic
7.5%
Average
6.7%
Age | 30 to 34 years
Tragic
5.9%
Good
5.4%
Age | 35 to 44 years
Tragic
5.6%
Excellent
4.6%
Age | 45 to 54 years
Tragic
5.0%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.6%
Exceptional
4.6%
Age | 60 to 64 years
Tragic
5.2%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.0%
Excellent
5.3%
Seniors > 65
Good
5.1%
Exceptional
5.0%
Seniors > 75
Tragic
10.1%
Tragic
9.4%
Women w/ Children < 6
Average
7.7%
Fair
7.7%
Women w/ Children 6 to 17
Exceptional
7.7%
Fair
9.1%
Women w/ Children < 18
Tragic
6.0%
Exceptional
5.1%

Nepalese vs Czechoslovakian Labor Participation

When considering labor participation, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 41.9%, a difference of 25.0%), in labor force | age 20-24 (74.5% compared to 77.5%, a difference of 4.1%), and in labor force | age 45-54 (80.5% compared to 83.0%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (63.8% compared to 64.3%, a difference of 0.85%), in labor force | age 30-34 (82.7% compared to 84.8%, a difference of 2.5%), and in labor force | age 25-29 (82.9% compared to 85.0%, a difference of 2.6%).
Nepalese vs Czechoslovakian Labor Participation
Labor Participation MetricNepaleseCzechoslovakian
In Labor Force | Age > 16
Tragic
63.8%
Tragic
64.3%
In Labor Force | Age 20-64
Tragic
77.5%
Average
79.5%
In Labor Force | Age 16-19
Tragic
33.5%
Exceptional
41.9%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
77.5%
In Labor Force | Age 25-29
Tragic
82.9%
Exceptional
85.0%
In Labor Force | Age 30-34
Tragic
82.7%
Good
84.8%
In Labor Force | Age 35-44
Tragic
82.4%
Excellent
84.6%
In Labor Force | Age 45-54
Tragic
80.5%
Good
83.0%

Nepalese vs Czechoslovakian Family Structure

When considering family structure, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in single father households (3.1% compared to 2.3%, a difference of 34.3%), single mother households (7.5% compared to 5.9%, a difference of 26.7%), and family households with children (30.5% compared to 27.0%, a difference of 12.8%). Conversely, both communities are more comparable in terms of divorced or separated (12.5% compared to 12.3%, a difference of 1.7%), family households (67.2% compared to 64.6%, a difference of 4.0%), and births to unmarried women (33.5% compared to 32.0%, a difference of 4.6%).
Nepalese vs Czechoslovakian Family Structure
Family Structure MetricNepaleseCzechoslovakian
Family Households
Exceptional
67.2%
Excellent
64.6%
Family Households with Children
Exceptional
30.5%
Tragic
27.0%
Married-couple Households
Poor
45.6%
Exceptional
48.5%
Average Family Size
Exceptional
3.42
Tragic
3.13
Single Father Households
Tragic
3.1%
Average
2.3%
Single Mother Households
Tragic
7.5%
Exceptional
5.9%
Currently Married
Tragic
44.7%
Exceptional
48.8%
Divorced or Separated
Tragic
12.5%
Poor
12.3%
Births to Unmarried Women
Tragic
33.5%
Fair
32.0%

Nepalese vs Czechoslovakian Vehicle Availability

When considering vehicle availability, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in 4 or more vehicles in household (8.7% compared to 7.1%, a difference of 23.0%), 3 or more vehicles in household (24.9% compared to 21.7%, a difference of 14.7%), and no vehicles in household (7.4% compared to 7.8%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.6% compared to 92.3%, a difference of 0.34%), 2 or more vehicles in household (61.4% compared to 59.8%, a difference of 2.7%), and no vehicles in household (7.4% compared to 7.8%, a difference of 5.9%).
Nepalese vs Czechoslovakian Vehicle Availability
Vehicle Availability MetricNepaleseCzechoslovakian
No Vehicles Available
Exceptional
7.4%
Exceptional
7.8%
1+ Vehicles Available
Exceptional
92.6%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
61.4%
Exceptional
59.8%
3+ Vehicles Available
Exceptional
24.9%
Exceptional
21.7%
4+ Vehicles Available
Exceptional
8.7%
Exceptional
7.1%

Nepalese vs Czechoslovakian Education Level

When considering education level, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in no schooling completed (3.8% compared to 1.6%, a difference of 134.8%), doctorate degree (1.3% compared to 1.8%, a difference of 42.9%), and master's degree (10.5% compared to 14.5%, a difference of 38.6%). Conversely, both communities are more comparable in terms of nursery school (96.2% compared to 98.5%, a difference of 2.4%), kindergarten (96.2% compared to 98.4%, a difference of 2.4%), and 1st grade (96.1% compared to 98.4%, a difference of 2.4%).
Nepalese vs Czechoslovakian Education Level
Education Level MetricNepaleseCzechoslovakian
No Schooling Completed
Tragic
3.8%
Exceptional
1.6%
Nursery School
Tragic
96.2%
Exceptional
98.5%
Kindergarten
Tragic
96.2%
Exceptional
98.4%
1st Grade
Tragic
96.1%
Exceptional
98.4%
2nd Grade
Tragic
96.1%
Exceptional
98.4%
3rd Grade
Tragic
95.9%
Exceptional
98.3%
4th Grade
Tragic
95.5%
Exceptional
98.1%
5th Grade
Tragic
95.2%
Exceptional
98.0%
6th Grade
Tragic
94.9%
Exceptional
97.8%
7th Grade
Tragic
93.2%
Exceptional
97.1%
8th Grade
Tragic
92.8%
Exceptional
96.9%
9th Grade
Tragic
92.0%
Exceptional
96.1%
10th Grade
Tragic
90.7%
Exceptional
95.1%
11th Grade
Tragic
89.5%
Exceptional
94.0%
12th Grade, No Diploma
Tragic
88.1%
Exceptional
92.6%
High School Diploma
Tragic
85.3%
Exceptional
90.9%
GED/Equivalency
Tragic
81.9%
Exceptional
87.4%
College, Under 1 year
Tragic
62.2%
Good
65.8%
College, 1 year or more
Tragic
54.9%
Average
59.4%
Associate's Degree
Tragic
39.0%
Average
46.0%
Bachelor's Degree
Tragic
29.9%
Fair
37.0%
Master's Degree
Tragic
10.5%
Fair
14.5%
Professional Degree
Tragic
3.2%
Fair
4.2%
Doctorate Degree
Tragic
1.3%
Fair
1.8%

Nepalese vs Czechoslovakian Disability

When considering disability, the most significant differences between Nepalese and Czechoslovakian communities in the United States are seen in disability age under 5 (0.97% compared to 1.5%, a difference of 55.4%), disability age 65 to 74 (28.0% compared to 23.0%, a difference of 21.8%), and self-care disability (3.0% compared to 2.5%, a difference of 20.3%). Conversely, both communities are more comparable in terms of male disability (12.2% compared to 12.3%, a difference of 0.65%), disability (12.8% compared to 12.5%, a difference of 2.0%), and ambulatory disability (6.6% compared to 6.4%, a difference of 3.6%).
Nepalese vs Czechoslovakian Disability
Disability MetricNepaleseCzechoslovakian
Disability
Tragic
12.8%
Tragic
12.5%
Males
Tragic
12.2%
Tragic
12.3%
Females
Tragic
13.3%
Tragic
12.7%
Age | Under 5 years
Exceptional
0.97%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.9%
Age | 18 to 34 years
Tragic
7.1%
Tragic
7.4%
Age | 35 to 64 years
Tragic
12.8%
Tragic
11.8%
Age | 65 to 74 years
Tragic
28.0%
Good
23.0%
Age | Over 75 years
Tragic
52.6%
Exceptional
46.6%
Vision
Tragic
2.4%
Fair
2.2%
Hearing
Tragic
3.3%
Tragic
3.6%
Cognitive
Tragic
18.0%
Exceptional
16.6%
Ambulatory
Tragic
6.6%
Tragic
6.4%
Self-Care
Tragic
3.0%
Average
2.5%