Asian vs Czech Community Comparison

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Asian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechoslovakianDanishDelawareDominicanDutchDutch 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
Czech
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
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

Asians

Czechs

Excellent
Excellent
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK

Czech Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 473,336,522 people shows a strong negative correlation between the proportion of Czechs within Asian communities in the United States with a correlation coefficient (R) of -0.800. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.006% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 5.8 Czechs.
Asian Integration in Czech Communities

Asian vs Czech Income

When considering income, the most significant differences between Asian and Czech communities in the United States are seen in median household income ($101,681 compared to $86,164, a difference of 18.0%), householder income ages 25 - 44 years ($112,666 compared to $96,525, a difference of 16.7%), and householder income ages 45 - 64 years ($118,426 compared to $103,507, a difference of 14.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 29.2%, a difference of 8.3%), householder income under 25 years ($57,003 compared to $51,421, a difference of 10.9%), and per capita income ($50,057 compared to $44,595, a difference of 12.2%).
Asian vs Czech Income
Income MetricAsianCzech
Per Capita Income
Exceptional
$50,057
Good
$44,595
Median Family Income
Exceptional
$119,955
Excellent
$105,839
Median Household Income
Exceptional
$101,681
Good
$86,164
Median Earnings
Exceptional
$53,690
Good
$47,221
Median Male Earnings
Exceptional
$63,827
Excellent
$56,546
Median Female Earnings
Exceptional
$44,586
Poor
$38,992
Householder Age | Under 25 years
Exceptional
$57,003
Poor
$51,421
Householder Age | 25 - 44 years
Exceptional
$112,666
Good
$96,525
Householder Age | 45 - 64 years
Exceptional
$118,426
Excellent
$103,507
Householder Age | Over 65 years
Exceptional
$68,822
Average
$61,244
Wage/Income Gap
Tragic
26.9%
Tragic
29.2%

Asian vs Czech Poverty

When considering poverty, the most significant differences between Asian and Czech communities in the United States are seen in single male poverty (11.2% compared to 13.5%, a difference of 20.9%), single father poverty (14.6% compared to 17.0%, a difference of 16.5%), and married-couple family poverty (4.7% compared to 4.0%, a difference of 15.8%). Conversely, both communities are more comparable in terms of female poverty (11.9% compared to 11.9%, a difference of 0.42%), poverty (11.0% compared to 10.8%, a difference of 1.3%), and male poverty (10.0% compared to 9.8%, a difference of 2.2%).
Asian vs Czech Poverty
Poverty MetricAsianCzech
Poverty
Exceptional
11.0%
Exceptional
10.8%
Families
Exceptional
7.7%
Exceptional
7.4%
Males
Exceptional
10.0%
Exceptional
9.8%
Females
Exceptional
11.9%
Exceptional
11.9%
Females 18 to 24 years
Exceptional
18.2%
Fair
20.4%
Females 25 to 34 years
Exceptional
11.4%
Exceptional
12.9%
Children Under 5 years
Exceptional
14.0%
Exceptional
15.5%
Children Under 16 years
Exceptional
13.5%
Exceptional
13.8%
Boys Under 16 years
Exceptional
13.5%
Exceptional
14.1%
Girls Under 16 years
Exceptional
13.7%
Exceptional
14.2%
Single Males
Exceptional
11.2%
Tragic
13.5%
Single Females
Exceptional
18.3%
Average
21.0%
Single Fathers
Exceptional
14.6%
Tragic
17.0%
Single Mothers
Exceptional
26.0%
Good
28.9%
Married Couples
Exceptional
4.7%
Exceptional
4.0%
Seniors Over 65 years
Excellent
10.4%
Exceptional
9.0%
Seniors Over 75 years
Good
12.0%
Exceptional
10.5%
Receiving Food Stamps
Exceptional
9.7%
Exceptional
9.2%

Asian vs Czech Unemployment

When considering unemployment, the most significant differences between Asian and Czech communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 9.7%, a difference of 17.6%), female unemployment (5.2% compared to 4.4%, a difference of 17.5%), and unemployment (5.1% compared to 4.3%, a difference of 17.2%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 2.3%), unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 2.5%), and unemployment among ages 35 to 44 years (4.4% compared to 4.1%, a difference of 5.9%).
Asian vs Czech Unemployment
Unemployment MetricAsianCzech
Unemployment
Excellent
5.1%
Exceptional
4.3%
Males
Exceptional
5.1%
Exceptional
4.5%
Females
Good
5.2%
Exceptional
4.4%
Youth < 25
Good
11.4%
Exceptional
10.3%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
15.4%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.3%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.0%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.1%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.0%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.4%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.4%
Age | 65 to 74 years
Exceptional
5.3%
Exceptional
5.0%
Seniors > 65
Excellent
5.1%
Exceptional
4.7%
Seniors > 75
Exceptional
8.3%
Tragic
9.7%
Women w/ Children < 6
Exceptional
6.7%
Average
7.6%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.7%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.7%

Asian vs Czech Labor Participation

When considering labor participation, the most significant differences between Asian and Czech communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 43.6%, a difference of 28.1%), in labor force | age 20-24 (73.7% compared to 78.5%, a difference of 6.6%), and in labor force | age > 16 (66.2% compared to 65.4%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.5%, a difference of 0.45%), in labor force | age 30-34 (85.1% compared to 85.5%, a difference of 0.49%), and in labor force | age 45-54 (83.4% compared to 83.9%, a difference of 0.58%).
Asian vs Czech Labor Participation
Labor Participation MetricAsianCzech
In Labor Force | Age > 16
Exceptional
66.2%
Excellent
65.4%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
34.1%
Exceptional
43.6%
In Labor Force | Age 20-24
Tragic
73.7%
Exceptional
78.5%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.6%
In Labor Force | Age 30-34
Exceptional
85.1%
Exceptional
85.5%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.3%
In Labor Force | Age 45-54
Exceptional
83.4%
Exceptional
83.9%

Asian vs Czech Family Structure

When considering family structure, the most significant differences between Asian and Czech communities in the United States are seen in births to unmarried women (26.8% compared to 30.5%, a difference of 14.0%), divorced or separated (10.6% compared to 11.9%, a difference of 12.2%), and single father households (2.1% compared to 2.3%, a difference of 10.3%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.4%, a difference of 0.090%), single mother households (5.6% compared to 5.6%, a difference of 0.98%), and currently married (48.4% compared to 49.9%, a difference of 3.0%).
Asian vs Czech Family Structure
Family Structure MetricAsianCzech
Family Households
Exceptional
66.5%
Good
64.5%
Family Households with Children
Exceptional
29.1%
Good
27.5%
Married-couple Households
Exceptional
49.5%
Exceptional
49.4%
Average Family Size
Exceptional
3.28
Tragic
3.11
Single Father Households
Exceptional
2.1%
Good
2.3%
Single Mother Households
Exceptional
5.6%
Exceptional
5.6%
Currently Married
Exceptional
48.4%
Exceptional
49.9%
Divorced or Separated
Exceptional
10.6%
Good
11.9%
Births to Unmarried Women
Exceptional
26.8%
Excellent
30.5%

Asian vs Czech Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and Czech communities in the United States are seen in no vehicles in household (9.0% compared to 6.9%, a difference of 30.4%), 3 or more vehicles in household (20.8% compared to 22.5%, a difference of 8.5%), and 2 or more vehicles in household (57.0% compared to 61.5%, a difference of 7.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 93.3%, a difference of 2.4%), 4 or more vehicles in household (7.0% compared to 7.4%, a difference of 4.9%), and 2 or more vehicles in household (57.0% compared to 61.5%, a difference of 7.9%).
Asian vs Czech Vehicle Availability
Vehicle Availability MetricAsianCzech
No Vehicles Available
Exceptional
9.0%
Exceptional
6.9%
1+ Vehicles Available
Exceptional
91.1%
Exceptional
93.3%
2+ Vehicles Available
Exceptional
57.0%
Exceptional
61.5%
3+ Vehicles Available
Exceptional
20.8%
Exceptional
22.5%
4+ Vehicles Available
Exceptional
7.0%
Exceptional
7.4%

Asian vs Czech Education Level

When considering education level, the most significant differences between Asian and Czech communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 60.8%), doctorate degree (2.4% compared to 1.9%, a difference of 28.7%), and professional degree (5.5% compared to 4.4%, a difference of 26.0%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 0.97%), kindergarten (97.6% compared to 98.6%, a difference of 0.97%), and 1st grade (97.6% compared to 98.5%, a difference of 0.99%).
Asian vs Czech Education Level
Education Level MetricAsianCzech
No Schooling Completed
Tragic
2.4%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.6%
Kindergarten
Tragic
97.6%
Exceptional
98.6%
1st Grade
Tragic
97.6%
Exceptional
98.5%
2nd Grade
Tragic
97.5%
Exceptional
98.5%
3rd Grade
Tragic
97.4%
Exceptional
98.4%
4th Grade
Tragic
97.1%
Exceptional
98.3%
5th Grade
Tragic
96.9%
Exceptional
98.2%
6th Grade
Tragic
96.6%
Exceptional
98.0%
7th Grade
Tragic
95.5%
Exceptional
97.4%
8th Grade
Tragic
95.2%
Exceptional
97.1%
9th Grade
Tragic
94.5%
Exceptional
96.4%
10th Grade
Fair
93.5%
Exceptional
95.5%
11th Grade
Average
92.5%
Exceptional
94.4%
12th Grade, No Diploma
Good
91.4%
Exceptional
93.2%
High School Diploma
Good
89.4%
Exceptional
91.6%
GED/Equivalency
Exceptional
86.7%
Exceptional
88.1%
College, Under 1 year
Exceptional
69.4%
Exceptional
67.1%
College, 1 year or more
Exceptional
64.2%
Excellent
60.6%
Associate's Degree
Exceptional
52.1%
Good
47.2%
Bachelor's Degree
Exceptional
44.4%
Average
38.0%
Master's Degree
Exceptional
18.4%
Average
14.7%
Professional Degree
Exceptional
5.5%
Average
4.4%
Doctorate Degree
Exceptional
2.4%
Good
1.9%

Asian vs Czech Disability

When considering disability, the most significant differences between Asian and Czech communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 42.9%), hearing disability (2.7% compared to 3.5%, a difference of 28.6%), and disability age 18 to 34 (5.8% compared to 7.2%, a difference of 24.4%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 1.7%), cognitive disability (16.7% compared to 16.4%, a difference of 2.2%), and disability age over 75 (46.9% compared to 45.7%, a difference of 2.8%).
Asian vs Czech Disability
Disability MetricAsianCzech
Disability
Exceptional
10.4%
Tragic
12.0%
Males
Exceptional
10.0%
Tragic
11.9%
Females
Exceptional
10.9%
Good
12.1%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
9.4%
Average
11.3%
Age | 65 to 74 years
Exceptional
21.4%
Exceptional
22.4%
Age | Over 75 years
Excellent
46.9%
Exceptional
45.7%
Vision
Exceptional
1.9%
Excellent
2.1%
Hearing
Exceptional
2.7%
Tragic
3.5%
Cognitive
Exceptional
16.7%
Exceptional
16.4%
Ambulatory
Exceptional
5.4%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Exceptional
2.3%