Czech vs South American Community Comparison

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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 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
South American
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Czechs

South Americans

Excellent
Average
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
5,097
SOCIAL INDEX
48.5/ 100
SOCIAL RATING
186th/ 347
SOCIAL RANK

South American Integration in Czech Communities

The statistical analysis conducted on geographies consisting of 437,546,532 people shows a moderate positive correlation between the proportion of South Americans within Czech communities in the United States with a correlation coefficient (R) of 0.404. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 0.052% in South Americans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechs corresponds to an increase of 51.9 South Americans.
Czech Integration in South American Communities

Czech vs South American Income

When considering income, the most significant differences between Czech and South American communities in the United States are seen in wage/income gap (29.2% compared to 25.0%, a difference of 16.6%), householder income under 25 years ($51,421 compared to $53,939, a difference of 4.9%), and median family income ($105,839 compared to $101,856, a difference of 3.9%). Conversely, both communities are more comparable in terms of median household income ($86,164 compared to $86,824, a difference of 0.77%), median earnings ($47,221 compared to $46,804, a difference of 0.89%), and per capita income ($44,595 compared to $44,114, a difference of 1.1%).
Czech vs South American Income
Income MetricCzechSouth American
Per Capita Income
Good
$44,595
Good
$44,114
Median Family Income
Excellent
$105,839
Fair
$101,856
Median Household Income
Good
$86,164
Good
$86,824
Median Earnings
Good
$47,221
Good
$46,804
Median Male Earnings
Excellent
$56,546
Average
$54,492
Median Female Earnings
Poor
$38,992
Average
$39,698
Householder Age | Under 25 years
Poor
$51,421
Exceptional
$53,939
Householder Age | 25 - 44 years
Good
$96,525
Good
$95,362
Householder Age | 45 - 64 years
Excellent
$103,507
Average
$100,837
Householder Age | Over 65 years
Average
$61,244
Fair
$59,854
Wage/Income Gap
Tragic
29.2%
Excellent
25.0%

Czech vs South American Poverty

When considering poverty, the most significant differences between Czech and South American communities in the United States are seen in married-couple family poverty (4.0% compared to 5.6%, a difference of 40.4%), seniors poverty over the age of 65 (9.0% compared to 12.5%, a difference of 38.7%), and receiving food stamps (9.2% compared to 12.4%, a difference of 34.7%). Conversely, both communities are more comparable in terms of single mother poverty (28.9% compared to 28.4%, a difference of 1.8%), female poverty among 25-34 year olds (12.9% compared to 13.2%, a difference of 2.2%), and single female poverty (21.0% compared to 20.0%, a difference of 5.1%).
Czech vs South American Poverty
Poverty MetricCzechSouth American
Poverty
Exceptional
10.8%
Average
12.3%
Families
Exceptional
7.4%
Fair
9.3%
Males
Exceptional
9.8%
Average
11.1%
Females
Exceptional
11.9%
Average
13.5%
Females 18 to 24 years
Fair
20.4%
Exceptional
18.0%
Females 25 to 34 years
Exceptional
12.9%
Good
13.2%
Children Under 5 years
Exceptional
15.5%
Good
16.7%
Children Under 16 years
Exceptional
13.8%
Average
16.0%
Boys Under 16 years
Exceptional
14.1%
Average
16.3%
Girls Under 16 years
Exceptional
14.2%
Good
16.1%
Single Males
Tragic
13.5%
Exceptional
12.1%
Single Females
Average
21.0%
Exceptional
20.0%
Single Fathers
Tragic
17.0%
Excellent
16.0%
Single Mothers
Good
28.9%
Exceptional
28.4%
Married Couples
Exceptional
4.0%
Tragic
5.6%
Seniors Over 65 years
Exceptional
9.0%
Tragic
12.5%
Seniors Over 75 years
Exceptional
10.5%
Tragic
14.1%
Receiving Food Stamps
Exceptional
9.2%
Poor
12.4%

Czech vs South American Unemployment

When considering unemployment, the most significant differences between Czech and South American communities in the United States are seen in female unemployment (4.4% compared to 5.4%, a difference of 24.1%), unemployment (4.3% compared to 5.3%, a difference of 22.3%), and unemployment among women with children under 18 years (4.7% compared to 5.7%, a difference of 19.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.6% compared to 7.5%, a difference of 1.1%), unemployment among ages 25 to 29 years (6.2% compared to 6.6%, a difference of 7.7%), and unemployment among ages 30 to 34 years (5.0% compared to 5.4%, a difference of 8.8%).
Czech vs South American Unemployment
Unemployment MetricCzechSouth American
Unemployment
Exceptional
4.3%
Fair
5.3%
Males
Exceptional
4.5%
Good
5.3%
Females
Exceptional
4.4%
Tragic
5.4%
Youth < 25
Exceptional
10.3%
Tragic
11.9%
Age | 16 to 19 years
Exceptional
15.4%
Tragic
18.3%
Age | 20 to 24 years
Exceptional
9.3%
Fair
10.4%
Age | 25 to 29 years
Exceptional
6.2%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Average
5.4%
Age | 35 to 44 years
Exceptional
4.1%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.0%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.4%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.4%
Tragic
5.1%
Age | 65 to 74 years
Exceptional
5.0%
Tragic
5.6%
Seniors > 65
Exceptional
4.7%
Tragic
5.4%
Seniors > 75
Tragic
9.7%
Excellent
8.5%
Women w/ Children < 6
Average
7.6%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.7%
Tragic
9.5%
Women w/ Children < 18
Exceptional
4.7%
Poor
5.7%

Czech vs South American Labor Participation

When considering labor participation, the most significant differences between Czech and South American communities in the United States are seen in in labor force | age 16-19 (43.6% compared to 33.6%, a difference of 29.9%), in labor force | age 20-24 (78.5% compared to 73.5%, a difference of 6.8%), and in labor force | age 25-29 (85.6% compared to 84.7%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.5% compared to 80.1%, a difference of 0.57%), in labor force | age 35-44 (85.3% compared to 84.8%, a difference of 0.63%), and in labor force | age 45-54 (83.9% compared to 83.3%, a difference of 0.74%).
Czech vs South American Labor Participation
Labor Participation MetricCzechSouth American
In Labor Force | Age > 16
Excellent
65.4%
Exceptional
66.0%
In Labor Force | Age 20-64
Exceptional
80.5%
Exceptional
80.1%
In Labor Force | Age 16-19
Exceptional
43.6%
Tragic
33.6%
In Labor Force | Age 20-24
Exceptional
78.5%
Tragic
73.5%
In Labor Force | Age 25-29
Exceptional
85.6%
Average
84.7%
In Labor Force | Age 30-34
Exceptional
85.5%
Average
84.7%
In Labor Force | Age 35-44
Exceptional
85.3%
Exceptional
84.8%
In Labor Force | Age 45-54
Exceptional
83.9%
Exceptional
83.3%

Czech vs South American Family Structure

When considering family structure, the most significant differences between Czech and South American communities in the United States are seen in single mother households (5.6% compared to 6.6%, a difference of 16.4%), currently married (49.9% compared to 46.1%, a difference of 8.1%), and married-couple households (49.4% compared to 46.6%, a difference of 6.1%). Conversely, both communities are more comparable in terms of single father households (2.3% compared to 2.3%, a difference of 0.14%), divorced or separated (11.9% compared to 12.2%, a difference of 1.8%), and family households (64.5% compared to 66.0%, a difference of 2.5%).
Czech vs South American Family Structure
Family Structure MetricCzechSouth American
Family Households
Good
64.5%
Exceptional
66.0%
Family Households with Children
Good
27.5%
Exceptional
28.4%
Married-couple Households
Exceptional
49.4%
Average
46.6%
Average Family Size
Tragic
3.11
Exceptional
3.27
Single Father Households
Good
2.3%
Good
2.3%
Single Mother Households
Exceptional
5.6%
Poor
6.6%
Currently Married
Exceptional
49.9%
Fair
46.1%
Divorced or Separated
Good
11.9%
Fair
12.2%
Births to Unmarried Women
Excellent
30.5%
Average
31.8%

Czech vs South American Vehicle Availability

When considering vehicle availability, the most significant differences between Czech and South American communities in the United States are seen in no vehicles in household (6.9% compared to 10.5%, a difference of 52.9%), 4 or more vehicles in household (7.4% compared to 5.6%, a difference of 32.0%), and 3 or more vehicles in household (22.5% compared to 17.6%, a difference of 27.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.3% compared to 89.5%, a difference of 4.1%), 2 or more vehicles in household (61.5% compared to 51.9%, a difference of 18.4%), and 3 or more vehicles in household (22.5% compared to 17.6%, a difference of 27.7%).
Czech vs South American Vehicle Availability
Vehicle Availability MetricCzechSouth American
No Vehicles Available
Exceptional
6.9%
Average
10.5%
1+ Vehicles Available
Exceptional
93.3%
Fair
89.5%
2+ Vehicles Available
Exceptional
61.5%
Tragic
51.9%
3+ Vehicles Available
Exceptional
22.5%
Tragic
17.6%
4+ Vehicles Available
Exceptional
7.4%
Tragic
5.6%

Czech vs South American Education Level

When considering education level, the most significant differences between Czech and South American communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 59.9%), professional degree (4.4% compared to 4.7%, a difference of 7.3%), and master's degree (14.7% compared to 15.6%, a difference of 6.0%). Conversely, both communities are more comparable in terms of associate's degree (47.2% compared to 47.1%, a difference of 0.16%), nursery school (98.6% compared to 97.6%, a difference of 0.97%), and kindergarten (98.6% compared to 97.6%, a difference of 0.98%).
Czech vs South American Education Level
Education Level MetricCzechSouth American
No Schooling Completed
Exceptional
1.5%
Tragic
2.4%
Nursery School
Exceptional
98.6%
Tragic
97.6%
Kindergarten
Exceptional
98.6%
Tragic
97.6%
1st Grade
Exceptional
98.5%
Tragic
97.6%
2nd Grade
Exceptional
98.5%
Tragic
97.5%
3rd Grade
Exceptional
98.4%
Tragic
97.4%
4th Grade
Exceptional
98.3%
Tragic
97.1%
5th Grade
Exceptional
98.2%
Tragic
96.8%
6th Grade
Exceptional
98.0%
Tragic
96.4%
7th Grade
Exceptional
97.4%
Tragic
95.2%
8th Grade
Exceptional
97.1%
Tragic
94.9%
9th Grade
Exceptional
96.4%
Tragic
93.9%
10th Grade
Exceptional
95.5%
Tragic
92.8%
11th Grade
Exceptional
94.4%
Tragic
91.6%
12th Grade, No Diploma
Exceptional
93.2%
Tragic
90.3%
High School Diploma
Exceptional
91.6%
Tragic
87.9%
GED/Equivalency
Exceptional
88.1%
Poor
84.8%
College, Under 1 year
Exceptional
67.1%
Poor
64.2%
College, 1 year or more
Excellent
60.6%
Fair
59.0%
Associate's Degree
Good
47.2%
Good
47.1%
Bachelor's Degree
Average
38.0%
Good
38.9%
Master's Degree
Average
14.7%
Excellent
15.6%
Professional Degree
Average
4.4%
Excellent
4.7%
Doctorate Degree
Good
1.9%
Fair
1.8%

Czech vs South American Disability

When considering disability, the most significant differences between Czech and South American communities in the United States are seen in hearing disability (3.5% compared to 2.7%, a difference of 31.6%), disability age under 5 (1.5% compared to 1.2%, a difference of 28.3%), and disability age 18 to 34 (7.2% compared to 5.9%, a difference of 23.8%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.44%), disability age 65 to 74 (22.4% compared to 22.2%, a difference of 0.94%), and cognitive disability (16.4% compared to 16.7%, a difference of 2.1%).
Czech vs South American Disability
Disability MetricCzechSouth American
Disability
Tragic
12.0%
Exceptional
10.9%
Males
Tragic
11.9%
Exceptional
10.3%
Females
Good
12.1%
Exceptional
11.4%
Age | Under 5 years
Tragic
1.5%
Good
1.2%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.4%
Age | 18 to 34 years
Tragic
7.2%
Exceptional
5.9%
Age | 35 to 64 years
Average
11.3%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
22.4%
Exceptional
22.2%
Age | Over 75 years
Exceptional
45.7%
Excellent
46.8%
Vision
Excellent
2.1%
Excellent
2.1%
Hearing
Tragic
3.5%
Exceptional
2.7%
Cognitive
Exceptional
16.4%
Exceptional
16.7%
Ambulatory
Excellent
6.0%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.4%