Immigrants from Congo vs Peruvian Community Comparison

COMPARE

Immigrants from Congo
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 GermanPimaPolishPortuguesePotawatomiPuebloPuerto 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
Peruvian
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 AmericaChileChinaColombiaCosta 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

Immigrants from Congo

Peruvians

Fair
Average
2,417
SOCIAL INDEX
21.7/ 100
SOCIAL RATING
260th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Immigrants from Congo Communities

The statistical analysis conducted on geographies consisting of 83,457,609 people shows a weak positive correlation between the proportion of Peruvians within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.245. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.100% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 100.2 Peruvians.
Immigrants from Congo Integration in Peruvian Communities

Immigrants from Congo vs Peruvian Income

When considering income, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in householder income ages 25 - 44 years ($72,178 compared to $98,886, a difference of 37.0%), median household income ($66,768 compared to $90,261, a difference of 35.2%), and householder income ages 45 - 64 years ($77,850 compared to $105,070, a difference of 35.0%). Conversely, both communities are more comparable in terms of median female earnings ($34,317 compared to $40,234, a difference of 17.2%), wage/income gap (21.7% compared to 25.6%, a difference of 18.0%), and median earnings ($39,169 compared to $47,628, a difference of 21.6%).
Immigrants from Congo vs Peruvian Income
Income MetricImmigrants from CongoPeruvian
Per Capita Income
Tragic
$35,720
Good
$44,479
Median Family Income
Tragic
$82,216
Excellent
$105,444
Median Household Income
Tragic
$66,768
Exceptional
$90,261
Median Earnings
Tragic
$39,169
Excellent
$47,628
Median Male Earnings
Tragic
$44,204
Good
$55,659
Median Female Earnings
Tragic
$34,317
Good
$40,234
Householder Age | Under 25 years
Tragic
$43,266
Exceptional
$56,052
Householder Age | 25 - 44 years
Tragic
$72,178
Exceptional
$98,886
Householder Age | 45 - 64 years
Tragic
$77,850
Exceptional
$105,070
Householder Age | Over 65 years
Tragic
$51,393
Excellent
$62,766
Wage/Income Gap
Exceptional
21.7%
Good
25.6%

Immigrants from Congo vs Peruvian Poverty

When considering poverty, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in child poverty under the age of 5 (23.9% compared to 16.0%, a difference of 49.3%), child poverty among girls under 16 (22.7% compared to 15.4%, a difference of 48.0%), and child poverty under the age of 16 (22.5% compared to 15.3%, a difference of 47.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.7% compared to 11.7%, a difference of 0.22%), single father poverty (15.4% compared to 15.4%, a difference of 0.24%), and seniors poverty over the age of 75 (12.5% compared to 13.4%, a difference of 7.2%).
Immigrants from Congo vs Peruvian Poverty
Poverty MetricImmigrants from CongoPeruvian
Poverty
Tragic
16.1%
Excellent
11.8%
Families
Tragic
11.9%
Good
8.8%
Males
Tragic
14.7%
Excellent
10.7%
Females
Tragic
17.4%
Excellent
12.9%
Females 18 to 24 years
Tragic
24.6%
Exceptional
17.2%
Females 25 to 34 years
Tragic
16.7%
Exceptional
12.7%
Children Under 5 years
Tragic
23.9%
Exceptional
16.0%
Children Under 16 years
Tragic
22.5%
Excellent
15.3%
Boys Under 16 years
Tragic
22.4%
Excellent
15.5%
Girls Under 16 years
Tragic
22.7%
Exceptional
15.4%
Single Males
Tragic
13.9%
Exceptional
11.8%
Single Females
Tragic
25.3%
Exceptional
19.4%
Single Fathers
Exceptional
15.4%
Exceptional
15.4%
Single Mothers
Tragic
33.8%
Exceptional
27.5%
Married Couples
Tragic
6.1%
Fair
5.3%
Seniors Over 65 years
Tragic
11.7%
Tragic
11.7%
Seniors Over 75 years
Fair
12.5%
Tragic
13.4%
Receiving Food Stamps
Tragic
14.1%
Average
11.7%

Immigrants from Congo vs Peruvian Unemployment

When considering unemployment, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (6.7% compared to 9.0%, a difference of 34.3%), unemployment among ages 60 to 64 years (4.1% compared to 5.0%, a difference of 22.0%), and unemployment among seniors over 65 years (4.5% compared to 5.3%, a difference of 18.9%). Conversely, both communities are more comparable in terms of male unemployment (5.3% compared to 5.3%, a difference of 0.33%), unemployment (5.3% compared to 5.3%, a difference of 1.3%), and unemployment among ages 35 to 44 years (4.7% compared to 4.7%, a difference of 1.5%).
Immigrants from Congo vs Peruvian Unemployment
Unemployment MetricImmigrants from CongoPeruvian
Unemployment
Average
5.3%
Fair
5.3%
Males
Average
5.3%
Average
5.3%
Females
Average
5.3%
Tragic
5.4%
Youth < 25
Exceptional
10.9%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.3%
Fair
17.7%
Age | 20 to 24 years
Exceptional
9.2%
Poor
10.5%
Age | 25 to 29 years
Exceptional
6.4%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Average
5.5%
Age | 35 to 44 years
Fair
4.7%
Average
4.7%
Age | 45 to 54 years
Excellent
4.4%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.3%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.1%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
4.7%
Tragic
5.5%
Seniors > 65
Exceptional
4.5%
Tragic
5.3%
Seniors > 75
Exceptional
6.7%
Tragic
9.0%
Women w/ Children < 6
Tragic
8.5%
Good
7.5%
Women w/ Children 6 to 17
Fair
9.0%
Tragic
9.2%
Women w/ Children < 18
Tragic
6.0%
Poor
5.6%

Immigrants from Congo vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 34.6%, a difference of 20.5%), in labor force | age 20-24 (77.4% compared to 74.5%, a difference of 3.8%), and in labor force | age 45-54 (81.6% compared to 83.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.6% compared to 84.8%, a difference of 0.27%), in labor force | age 25-29 (84.2% compared to 84.7%, a difference of 0.63%), and in labor force | age > 16 (67.1% compared to 66.3%, a difference of 1.2%).
Immigrants from Congo vs Peruvian Labor Participation
Labor Participation MetricImmigrants from CongoPeruvian
In Labor Force | Age > 16
Exceptional
67.1%
Exceptional
66.3%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
41.7%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
77.4%
Poor
74.5%
In Labor Force | Age 25-29
Tragic
84.2%
Good
84.7%
In Labor Force | Age 30-34
Fair
84.6%
Good
84.8%
In Labor Force | Age 35-44
Tragic
83.5%
Exceptional
84.9%
In Labor Force | Age 45-54
Tragic
81.6%
Exceptional
83.6%

Immigrants from Congo vs Peruvian Family Structure

When considering family structure, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in single mother households (8.1% compared to 6.5%, a difference of 24.2%), married-couple households (39.0% compared to 47.6%, a difference of 22.0%), and births to unmarried women (36.8% compared to 31.5%, a difference of 16.8%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.30, a difference of 2.1%), family households with children (27.3% compared to 29.0%, a difference of 6.2%), and single father households (2.5% compared to 2.4%, a difference of 6.2%).
Immigrants from Congo vs Peruvian Family Structure
Family Structure MetricImmigrants from CongoPeruvian
Family Households
Tragic
59.2%
Exceptional
67.1%
Family Households with Children
Fair
27.3%
Exceptional
29.0%
Married-couple Households
Tragic
39.0%
Exceptional
47.6%
Average Family Size
Average
3.23
Exceptional
3.30
Single Father Households
Tragic
2.5%
Fair
2.4%
Single Mother Households
Tragic
8.1%
Fair
6.5%
Currently Married
Tragic
41.1%
Average
46.6%
Divorced or Separated
Tragic
13.5%
Excellent
11.9%
Births to Unmarried Women
Tragic
36.8%
Average
31.5%

Immigrants from Congo vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 6.5%, a difference of 23.0%), 3 or more vehicles in household (17.0% compared to 19.6%, a difference of 15.7%), and no vehicles in household (10.1% compared to 11.2%, a difference of 11.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 88.8%, a difference of 1.3%), 2 or more vehicles in household (52.1% compared to 55.0%, a difference of 5.5%), and no vehicles in household (10.1% compared to 11.2%, a difference of 11.9%).
Immigrants from Congo vs Peruvian Vehicle Availability
Vehicle Availability MetricImmigrants from CongoPeruvian
No Vehicles Available
Good
10.1%
Tragic
11.2%
1+ Vehicles Available
Good
90.0%
Tragic
88.8%
2+ Vehicles Available
Tragic
52.1%
Fair
55.0%
3+ Vehicles Available
Tragic
17.0%
Average
19.6%
4+ Vehicles Available
Tragic
5.2%
Good
6.5%

Immigrants from Congo vs Peruvian Education Level

When considering education level, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in professional degree (3.6% compared to 4.5%, a difference of 23.7%), master's degree (12.6% compared to 15.3%, a difference of 21.0%), and bachelor's degree (33.6% compared to 38.3%, a difference of 14.1%). Conversely, both communities are more comparable in terms of 5th grade (96.8% compared to 96.8%, a difference of 0.0%), nursery school (97.6% compared to 97.6%, a difference of 0.020%), and kindergarten (97.6% compared to 97.6%, a difference of 0.020%).
Immigrants from Congo vs Peruvian Education Level
Education Level MetricImmigrants from CongoPeruvian
No Schooling Completed
Tragic
2.4%
Tragic
2.4%
Nursery School
Tragic
97.6%
Tragic
97.6%
Kindergarten
Tragic
97.6%
Tragic
97.6%
1st Grade
Tragic
97.5%
Tragic
97.6%
2nd Grade
Tragic
97.5%
Tragic
97.5%
3rd Grade
Tragic
97.3%
Tragic
97.4%
4th Grade
Tragic
97.0%
Tragic
97.1%
5th Grade
Tragic
96.8%
Tragic
96.8%
6th Grade
Tragic
96.5%
Tragic
96.4%
7th Grade
Tragic
95.3%
Tragic
95.1%
8th Grade
Tragic
94.9%
Tragic
94.7%
9th Grade
Tragic
93.9%
Tragic
93.8%
10th Grade
Tragic
92.4%
Tragic
92.6%
11th Grade
Tragic
90.9%
Tragic
91.5%
12th Grade, No Diploma
Tragic
89.0%
Tragic
90.2%
High School Diploma
Tragic
87.0%
Tragic
87.8%
GED/Equivalency
Tragic
83.1%
Tragic
84.7%
College, Under 1 year
Tragic
61.7%
Poor
64.1%
College, 1 year or more
Tragic
55.6%
Fair
58.6%
Associate's Degree
Tragic
41.8%
Average
46.4%
Bachelor's Degree
Tragic
33.6%
Good
38.3%
Master's Degree
Tragic
12.6%
Good
15.3%
Professional Degree
Tragic
3.6%
Good
4.5%
Doctorate Degree
Tragic
1.6%
Fair
1.8%

Immigrants from Congo vs Peruvian Disability

When considering disability, the most significant differences between Immigrants from Congo and Peruvian communities in the United States are seen in disability age 35 to 64 (13.3% compared to 9.9%, a difference of 35.1%), disability age 18 to 34 (7.1% compared to 6.0%, a difference of 19.1%), and cognitive disability (19.7% compared to 16.7%, a difference of 18.2%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 1.9%), disability age over 75 (48.7% compared to 46.8%, a difference of 4.0%), and hearing disability (2.9% compared to 2.7%, a difference of 6.3%).
Immigrants from Congo vs Peruvian Disability
Disability MetricImmigrants from CongoPeruvian
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
11.7%
Exceptional
10.4%
Females
Tragic
12.7%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.1%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.2%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.1%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
13.3%
Exceptional
9.9%
Age | 65 to 74 years
Tragic
26.0%
Exceptional
22.2%
Age | Over 75 years
Tragic
48.7%
Excellent
46.8%
Vision
Tragic
2.3%
Exceptional
2.1%
Hearing
Good
2.9%
Exceptional
2.7%
Cognitive
Tragic
19.7%
Exceptional
16.7%
Ambulatory
Poor
6.2%
Exceptional
5.7%
Self-Care
Exceptional
2.4%
Exceptional
2.4%