Immigrants from Peru vs Czech Community Comparison

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Immigrants from Peru
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 EuropeNorwayOceaniaPakistanPanamaPhilippinesPolandPortugalRomaniaRussiaSaudi 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

Immigrants from Peru

Czechs

Average
Excellent
5,294
SOCIAL INDEX
50.4/ 100
SOCIAL RATING
181st/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK

Czech Integration in Immigrants from Peru Communities

The statistical analysis conducted on geographies consisting of 304,414,625 people shows a weak positive correlation between the proportion of Czechs within Immigrant from Peru communities in the United States with a correlation coefficient (R) of 0.261. On average, for every 1% (one percent) increase in Immigrants from Peru within a typical geography, there is an increase of 0.042% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Peru corresponds to an increase of 42.3 Czechs.
Immigrants from Peru Integration in Czech Communities

Immigrants from Peru vs Czech Income

When considering income, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in wage/income gap (25.1% compared to 29.2%, a difference of 16.2%), householder income under 25 years ($56,384 compared to $51,421, a difference of 9.7%), and median male earnings ($54,695 compared to $56,546, a difference of 3.4%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($103,173 compared to $103,507, a difference of 0.32%), median earnings ($47,025 compared to $47,221, a difference of 0.42%), and householder income ages 25 - 44 years ($97,329 compared to $96,525, a difference of 0.83%).
Immigrants from Peru vs Czech Income
Income MetricImmigrants from PeruCzech
Per Capita Income
Average
$43,852
Good
$44,595
Median Family Income
Good
$103,534
Excellent
$105,839
Median Household Income
Exceptional
$89,010
Good
$86,164
Median Earnings
Good
$47,025
Good
$47,221
Median Male Earnings
Average
$54,695
Excellent
$56,546
Median Female Earnings
Average
$39,871
Poor
$38,992
Householder Age | Under 25 years
Exceptional
$56,384
Poor
$51,421
Householder Age | 25 - 44 years
Excellent
$97,329
Good
$96,525
Householder Age | 45 - 64 years
Excellent
$103,173
Excellent
$103,507
Householder Age | Over 65 years
Good
$61,988
Average
$61,244
Wage/Income Gap
Excellent
25.1%
Tragic
29.2%

Immigrants from Peru vs Czech Poverty

When considering poverty, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in married-couple family poverty (5.4% compared to 4.0%, a difference of 34.6%), seniors poverty over the age of 65 (12.0% compared to 9.0%, a difference of 33.2%), and receiving food stamps (12.0% compared to 9.2%, a difference of 30.6%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.7% compared to 12.9%, a difference of 1.3%), child poverty under the age of 5 (16.1% compared to 15.5%, a difference of 3.7%), and single mother poverty (27.5% compared to 28.9%, a difference of 5.1%).
Immigrants from Peru vs Czech Poverty
Poverty MetricImmigrants from PeruCzech
Poverty
Excellent
11.9%
Exceptional
10.8%
Families
Average
8.9%
Exceptional
7.4%
Males
Excellent
10.7%
Exceptional
9.8%
Females
Good
13.0%
Exceptional
11.9%
Females 18 to 24 years
Exceptional
16.9%
Fair
20.4%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
12.9%
Children Under 5 years
Exceptional
16.1%
Exceptional
15.5%
Children Under 16 years
Excellent
15.5%
Exceptional
13.8%
Boys Under 16 years
Excellent
15.7%
Exceptional
14.1%
Girls Under 16 years
Excellent
15.6%
Exceptional
14.2%
Single Males
Exceptional
11.5%
Tragic
13.5%
Single Females
Exceptional
19.3%
Average
21.0%
Single Fathers
Exceptional
15.3%
Tragic
17.0%
Single Mothers
Exceptional
27.5%
Good
28.9%
Married Couples
Fair
5.4%
Exceptional
4.0%
Seniors Over 65 years
Tragic
12.0%
Exceptional
9.0%
Seniors Over 75 years
Tragic
13.7%
Exceptional
10.5%
Receiving Food Stamps
Fair
12.0%
Exceptional
9.2%

Immigrants from Peru vs Czech Unemployment

When considering unemployment, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in female unemployment (5.5% compared to 4.4%, a difference of 24.8%), unemployment (5.4% compared to 4.3%, a difference of 23.4%), and unemployment among women with children under 18 years (5.7% compared to 4.7%, a difference of 20.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.6%, a difference of 1.2%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.7%, a difference of 5.7%), and unemployment among ages 25 to 29 years (6.5% compared to 6.2%, a difference of 5.7%).
Immigrants from Peru vs Czech Unemployment
Unemployment MetricImmigrants from PeruCzech
Unemployment
Fair
5.4%
Exceptional
4.3%
Males
Average
5.3%
Exceptional
4.5%
Females
Tragic
5.5%
Exceptional
4.4%
Youth < 25
Poor
11.8%
Exceptional
10.3%
Age | 16 to 19 years
Fair
17.7%
Exceptional
15.4%
Age | 20 to 24 years
Fair
10.4%
Exceptional
9.3%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.0%
Age | 35 to 44 years
Fair
4.7%
Exceptional
4.1%
Age | 45 to 54 years
Poor
4.6%
Exceptional
4.0%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.4%
Age | 60 to 64 years
Tragic
5.1%
Exceptional
4.4%
Age | 65 to 74 years
Tragic
5.6%
Exceptional
5.0%
Seniors > 65
Tragic
5.4%
Exceptional
4.7%
Seniors > 75
Fair
8.9%
Tragic
9.7%
Women w/ Children < 6
Good
7.5%
Average
7.6%
Women w/ Children 6 to 17
Poor
9.2%
Exceptional
8.7%
Women w/ Children < 18
Tragic
5.7%
Exceptional
4.7%

Immigrants from Peru vs Czech Labor Participation

When considering labor participation, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in in labor force | age 16-19 (34.2% compared to 43.6%, a difference of 27.8%), in labor force | age 20-24 (74.5% compared to 78.5%, a difference of 5.5%), and in labor force | age > 16 (66.3% compared to 65.4%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.5%, a difference of 0.24%), in labor force | age 45-54 (83.5% compared to 83.9%, a difference of 0.48%), and in labor force | age 35-44 (84.9% compared to 85.3%, a difference of 0.49%).
Immigrants from Peru vs Czech Labor Participation
Labor Participation MetricImmigrants from PeruCzech
In Labor Force | Age > 16
Exceptional
66.3%
Excellent
65.4%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
34.2%
Exceptional
43.6%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
78.5%
In Labor Force | Age 25-29
Average
84.7%
Exceptional
85.6%
In Labor Force | Age 30-34
Average
84.7%
Exceptional
85.5%
In Labor Force | Age 35-44
Exceptional
84.9%
Exceptional
85.3%
In Labor Force | Age 45-54
Exceptional
83.5%
Exceptional
83.9%

Immigrants from Peru vs Czech Family Structure

When considering family structure, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in single mother households (6.7% compared to 5.6%, a difference of 17.9%), currently married (46.4% compared to 49.9%, a difference of 7.5%), and average family size (3.31 compared to 3.11, a difference of 6.5%). Conversely, both communities are more comparable in terms of divorced or separated (12.0% compared to 11.9%, a difference of 0.78%), single father households (2.4% compared to 2.3%, a difference of 3.6%), and births to unmarried women (31.8% compared to 30.5%, a difference of 4.2%).
Immigrants from Peru vs Czech Family Structure
Family Structure MetricImmigrants from PeruCzech
Family Households
Exceptional
67.2%
Good
64.5%
Family Households with Children
Exceptional
28.9%
Good
27.5%
Married-couple Households
Excellent
47.3%
Exceptional
49.4%
Average Family Size
Exceptional
3.31
Tragic
3.11
Single Father Households
Poor
2.4%
Good
2.3%
Single Mother Households
Poor
6.7%
Exceptional
5.6%
Currently Married
Fair
46.4%
Exceptional
49.9%
Divorced or Separated
Average
12.0%
Good
11.9%
Births to Unmarried Women
Average
31.8%
Excellent
30.5%

Immigrants from Peru vs Czech Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in no vehicles in household (11.5% compared to 6.9%, a difference of 66.9%), 3 or more vehicles in household (19.4% compared to 22.5%, a difference of 16.3%), and 4 or more vehicles in household (6.4% compared to 7.4%, a difference of 15.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 93.3%, a difference of 5.2%), 2 or more vehicles in household (54.4% compared to 61.5%, a difference of 13.1%), and 4 or more vehicles in household (6.4% compared to 7.4%, a difference of 15.0%).
Immigrants from Peru vs Czech Vehicle Availability
Vehicle Availability MetricImmigrants from PeruCzech
No Vehicles Available
Tragic
11.5%
Exceptional
6.9%
1+ Vehicles Available
Tragic
88.6%
Exceptional
93.3%
2+ Vehicles Available
Poor
54.4%
Exceptional
61.5%
3+ Vehicles Available
Average
19.4%
Exceptional
22.5%
4+ Vehicles Available
Average
6.4%
Exceptional
7.4%

Immigrants from Peru vs Czech Education Level

When considering education level, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 68.5%), doctorate degree (1.7% compared to 1.9%, a difference of 8.8%), and college, under 1 year (63.1% compared to 67.1%, a difference of 6.2%). Conversely, both communities are more comparable in terms of professional degree (4.4% compared to 4.4%, a difference of 0.64%), nursery school (97.5% compared to 98.6%, a difference of 1.1%), and kindergarten (97.5% compared to 98.6%, a difference of 1.1%).
Immigrants from Peru vs Czech Education Level
Education Level MetricImmigrants from PeruCzech
No Schooling Completed
Tragic
2.5%
Exceptional
1.5%
Nursery School
Tragic
97.5%
Exceptional
98.6%
Kindergarten
Tragic
97.5%
Exceptional
98.6%
1st Grade
Tragic
97.4%
Exceptional
98.5%
2nd Grade
Tragic
97.4%
Exceptional
98.5%
3rd Grade
Tragic
97.2%
Exceptional
98.4%
4th Grade
Tragic
96.9%
Exceptional
98.3%
5th Grade
Tragic
96.6%
Exceptional
98.2%
6th Grade
Tragic
96.2%
Exceptional
98.0%
7th Grade
Tragic
94.9%
Exceptional
97.4%
8th Grade
Tragic
94.5%
Exceptional
97.1%
9th Grade
Tragic
93.4%
Exceptional
96.4%
10th Grade
Tragic
92.2%
Exceptional
95.5%
11th Grade
Tragic
91.0%
Exceptional
94.4%
12th Grade, No Diploma
Tragic
89.7%
Exceptional
93.2%
High School Diploma
Tragic
87.3%
Exceptional
91.6%
GED/Equivalency
Tragic
84.2%
Exceptional
88.1%
College, Under 1 year
Tragic
63.1%
Exceptional
67.1%
College, 1 year or more
Poor
57.7%
Excellent
60.6%
Associate's Degree
Fair
45.5%
Good
47.2%
Bachelor's Degree
Average
37.5%
Average
38.0%
Master's Degree
Average
14.9%
Average
14.7%
Professional Degree
Average
4.4%
Average
4.4%
Doctorate Degree
Poor
1.7%
Good
1.9%

Immigrants from Peru vs Czech Disability

When considering disability, the most significant differences between Immigrants from Peru and Czech communities in the United States are seen in hearing disability (2.7% compared to 3.5%, a difference of 30.6%), disability age under 5 (1.2% compared to 1.5%, a difference of 24.3%), and disability age 18 to 34 (5.9% compared to 7.2%, a difference of 23.6%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.50%), disability age 65 to 74 (22.3% compared to 22.4%, a difference of 0.67%), and cognitive disability (16.6% compared to 16.4%, a difference of 1.1%).
Immigrants from Peru vs Czech Disability
Disability MetricImmigrants from PeruCzech
Disability
Exceptional
10.8%
Tragic
12.0%
Males
Exceptional
10.3%
Tragic
11.9%
Females
Exceptional
11.3%
Good
12.1%
Age | Under 5 years
Average
1.2%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.9%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
9.8%
Average
11.3%
Age | 65 to 74 years
Exceptional
22.3%
Exceptional
22.4%
Age | Over 75 years
Excellent
46.9%
Exceptional
45.7%
Vision
Excellent
2.1%
Excellent
2.1%
Hearing
Exceptional
2.7%
Tragic
3.5%
Cognitive
Exceptional
16.6%
Exceptional
16.4%
Ambulatory
Exceptional
5.7%
Excellent
6.0%
Self-Care
Excellent
2.4%
Exceptional
2.3%