Peruvian vs Immigrants from Bangladesh Community Comparison

COMPARE

Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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
Immigrants from Bangladesh
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Peruvians

Immigrants from Bangladesh

Average
Poor
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK

Immigrants from Bangladesh Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 182,383,784 people shows a weak positive correlation between the proportion of Immigrants from Bangladesh within Peruvian communities in the United States with a correlation coefficient (R) of 0.248. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.049% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 49.1 Immigrants from Bangladesh.
Peruvian Integration in Immigrants from Bangladesh Communities

Peruvian vs Immigrants from Bangladesh Income

When considering income, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in wage/income gap (25.6% compared to 20.9%, a difference of 22.2%), householder income ages 45 - 64 years ($105,070 compared to $92,208, a difference of 14.0%), and householder income over 65 years ($62,766 compared to $55,394, a difference of 13.3%). Conversely, both communities are more comparable in terms of median female earnings ($40,234 compared to $39,910, a difference of 0.81%), householder income under 25 years ($56,052 compared to $54,714, a difference of 2.5%), and median earnings ($47,628 compared to $45,532, a difference of 4.6%).
Peruvian vs Immigrants from Bangladesh Income
Income MetricPeruvianImmigrants from Bangladesh
Per Capita Income
Good
$44,479
Poor
$41,709
Median Family Income
Excellent
$105,444
Tragic
$94,665
Median Household Income
Exceptional
$90,261
Tragic
$80,722
Median Earnings
Excellent
$47,628
Fair
$45,532
Median Male Earnings
Good
$55,659
Tragic
$51,642
Median Female Earnings
Good
$40,234
Good
$39,910
Householder Age | Under 25 years
Exceptional
$56,052
Exceptional
$54,714
Householder Age | 25 - 44 years
Exceptional
$98,886
Tragic
$90,448
Householder Age | 45 - 64 years
Exceptional
$105,070
Tragic
$92,208
Householder Age | Over 65 years
Excellent
$62,766
Tragic
$55,394
Wage/Income Gap
Good
25.6%
Exceptional
20.9%

Peruvian vs Immigrants from Bangladesh Poverty

When considering poverty, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (5.3% compared to 7.5%, a difference of 41.4%), receiving food stamps (11.7% compared to 15.9%, a difference of 35.4%), and family poverty (8.8% compared to 11.7%, a difference of 33.0%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 16.3%, a difference of 5.4%), single male poverty (11.8% compared to 13.0%, a difference of 10.6%), and single mother poverty (27.5% compared to 31.1%, a difference of 13.2%).
Peruvian vs Immigrants from Bangladesh Poverty
Poverty MetricPeruvianImmigrants from Bangladesh
Poverty
Excellent
11.8%
Tragic
15.3%
Families
Good
8.8%
Tragic
11.7%
Males
Excellent
10.7%
Tragic
14.1%
Females
Excellent
12.9%
Tragic
16.4%
Females 18 to 24 years
Exceptional
17.2%
Tragic
21.8%
Females 25 to 34 years
Exceptional
12.7%
Tragic
14.8%
Children Under 5 years
Exceptional
16.0%
Tragic
20.1%
Children Under 16 years
Excellent
15.3%
Tragic
19.8%
Boys Under 16 years
Excellent
15.5%
Tragic
19.9%
Girls Under 16 years
Exceptional
15.4%
Tragic
19.9%
Single Males
Exceptional
11.8%
Fair
13.0%
Single Females
Exceptional
19.4%
Tragic
22.3%
Single Fathers
Exceptional
15.4%
Average
16.3%
Single Mothers
Exceptional
27.5%
Tragic
31.1%
Married Couples
Fair
5.3%
Tragic
7.5%
Seniors Over 65 years
Tragic
11.7%
Tragic
14.1%
Seniors Over 75 years
Tragic
13.4%
Tragic
15.8%
Receiving Food Stamps
Average
11.7%
Tragic
15.9%

Peruvian vs Immigrants from Bangladesh Unemployment

When considering unemployment, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in male unemployment (5.3% compared to 6.6%, a difference of 24.1%), unemployment among ages 16 to 19 years (17.7% compared to 21.5%, a difference of 21.5%), and unemployment (5.3% compared to 6.5%, a difference of 21.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.0% compared to 9.1%, a difference of 0.30%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.8%, a difference of 4.1%), and unemployment among ages 65 to 74 years (5.5% compared to 5.9%, a difference of 5.7%).
Peruvian vs Immigrants from Bangladesh Unemployment
Unemployment MetricPeruvianImmigrants from Bangladesh
Unemployment
Fair
5.3%
Tragic
6.5%
Males
Average
5.3%
Tragic
6.6%
Females
Tragic
5.4%
Tragic
6.5%
Youth < 25
Poor
11.8%
Tragic
14.2%
Age | 16 to 19 years
Fair
17.7%
Tragic
21.5%
Age | 20 to 24 years
Poor
10.5%
Tragic
12.6%
Age | 25 to 29 years
Good
6.6%
Tragic
7.5%
Age | 30 to 34 years
Average
5.5%
Tragic
6.4%
Age | 35 to 44 years
Average
4.7%
Tragic
5.3%
Age | 45 to 54 years
Fair
4.6%
Tragic
5.4%
Age | 55 to 59 years
Fair
4.8%
Tragic
5.9%
Age | 60 to 64 years
Tragic
5.0%
Tragic
6.0%
Age | 65 to 74 years
Tragic
5.5%
Tragic
5.9%
Seniors > 65
Tragic
5.3%
Tragic
5.7%
Seniors > 75
Tragic
9.0%
Tragic
9.1%
Women w/ Children < 6
Good
7.5%
Tragic
8.8%
Women w/ Children 6 to 17
Tragic
9.2%
Good
8.8%
Women w/ Children < 18
Poor
5.6%
Tragic
6.4%

Peruvian vs Immigrants from Bangladesh Labor Participation

When considering labor participation, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 30.0%, a difference of 15.1%), in labor force | age 20-24 (74.5% compared to 70.6%, a difference of 5.5%), and in labor force | age 45-54 (83.6% compared to 80.7%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 83.6%, a difference of 1.4%), in labor force | age 25-29 (84.7% compared to 83.0%, a difference of 2.1%), and in labor force | age 35-44 (84.9% compared to 82.9%, a difference of 2.4%).
Peruvian vs Immigrants from Bangladesh Labor Participation
Labor Participation MetricPeruvianImmigrants from Bangladesh
In Labor Force | Age > 16
Exceptional
66.3%
Tragic
64.5%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
77.9%
In Labor Force | Age 16-19
Tragic
34.6%
Tragic
30.0%
In Labor Force | Age 20-24
Poor
74.5%
Tragic
70.6%
In Labor Force | Age 25-29
Good
84.7%
Tragic
83.0%
In Labor Force | Age 30-34
Good
84.8%
Tragic
83.6%
In Labor Force | Age 35-44
Exceptional
84.9%
Tragic
82.9%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
80.7%

Peruvian vs Immigrants from Bangladesh Family Structure

When considering family structure, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 15.0%), married-couple households (47.6% compared to 43.1%, a difference of 10.5%), and divorced or separated (11.9% compared to 11.0%, a difference of 8.6%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.36, a difference of 1.9%), births to unmarried women (31.5% compared to 30.9%, a difference of 2.0%), and family households (67.1% compared to 63.9%, a difference of 5.1%).
Peruvian vs Immigrants from Bangladesh Family Structure
Family Structure MetricPeruvianImmigrants from Bangladesh
Family Households
Exceptional
67.1%
Poor
63.9%
Family Households with Children
Exceptional
29.0%
Good
27.6%
Married-couple Households
Exceptional
47.6%
Tragic
43.1%
Average Family Size
Exceptional
3.30
Exceptional
3.36
Single Father Households
Fair
2.4%
Exceptional
2.1%
Single Mother Households
Fair
6.5%
Tragic
6.9%
Currently Married
Average
46.6%
Tragic
43.6%
Divorced or Separated
Excellent
11.9%
Exceptional
11.0%
Births to Unmarried Women
Average
31.5%
Good
30.9%

Peruvian vs Immigrants from Bangladesh Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (11.2% compared to 25.8%, a difference of 129.0%), 4 or more vehicles in household (6.5% compared to 3.9%, a difference of 65.6%), and 3 or more vehicles in household (19.6% compared to 12.5%, a difference of 56.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 74.3%, a difference of 19.6%), 2 or more vehicles in household (55.0% compared to 38.8%, a difference of 41.8%), and 3 or more vehicles in household (19.6% compared to 12.5%, a difference of 56.8%).
Peruvian vs Immigrants from Bangladesh Vehicle Availability
Vehicle Availability MetricPeruvianImmigrants from Bangladesh
No Vehicles Available
Tragic
11.2%
Tragic
25.8%
1+ Vehicles Available
Tragic
88.8%
Tragic
74.3%
2+ Vehicles Available
Fair
55.0%
Tragic
38.8%
3+ Vehicles Available
Average
19.6%
Tragic
12.5%
4+ Vehicles Available
Good
6.5%
Tragic
3.9%

Peruvian vs Immigrants from Bangladesh Education Level

When considering education level, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in no schooling completed (2.4% compared to 3.1%, a difference of 31.7%), college, under 1 year (64.1% compared to 61.3%, a difference of 4.6%), and college, 1 year or more (58.6% compared to 56.6%, a difference of 3.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 96.9%, a difference of 0.79%), kindergarten (97.6% compared to 96.8%, a difference of 0.80%), and 1st grade (97.6% compared to 96.8%, a difference of 0.81%).
Peruvian vs Immigrants from Bangladesh Education Level
Education Level MetricPeruvianImmigrants from Bangladesh
No Schooling Completed
Tragic
2.4%
Tragic
3.1%
Nursery School
Tragic
97.6%
Tragic
96.9%
Kindergarten
Tragic
97.6%
Tragic
96.8%
1st Grade
Tragic
97.6%
Tragic
96.8%
2nd Grade
Tragic
97.5%
Tragic
96.7%
3rd Grade
Tragic
97.4%
Tragic
96.6%
4th Grade
Tragic
97.1%
Tragic
96.2%
5th Grade
Tragic
96.8%
Tragic
96.0%
6th Grade
Tragic
96.4%
Tragic
95.4%
7th Grade
Tragic
95.1%
Tragic
94.0%
8th Grade
Tragic
94.7%
Tragic
93.6%
9th Grade
Tragic
93.8%
Tragic
92.4%
10th Grade
Tragic
92.6%
Tragic
91.0%
11th Grade
Tragic
91.5%
Tragic
89.5%
12th Grade, No Diploma
Tragic
90.2%
Tragic
88.0%
High School Diploma
Tragic
87.8%
Tragic
85.5%
GED/Equivalency
Tragic
84.7%
Tragic
81.9%
College, Under 1 year
Poor
64.1%
Tragic
61.3%
College, 1 year or more
Fair
58.6%
Tragic
56.6%
Associate's Degree
Average
46.4%
Fair
45.2%
Bachelor's Degree
Good
38.3%
Average
37.8%
Master's Degree
Good
15.3%
Good
15.5%
Professional Degree
Good
4.5%
Average
4.4%
Doctorate Degree
Fair
1.8%
Average
1.8%

Peruvian vs Immigrants from Bangladesh Disability

When considering disability, the most significant differences between Peruvian and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.3% compared to 0.85%, a difference of 47.0%), hearing disability (2.7% compared to 2.4%, a difference of 12.6%), and disability age 35 to 64 (9.9% compared to 10.9%, a difference of 10.3%). Conversely, both communities are more comparable in terms of male disability (10.4% compared to 10.3%, a difference of 0.69%), disability (10.9% compared to 11.0%, a difference of 1.7%), and disability age over 75 (46.8% compared to 48.0%, a difference of 2.5%).
Peruvian vs Immigrants from Bangladesh Disability
Disability MetricPeruvianImmigrants from Bangladesh
Disability
Exceptional
10.9%
Exceptional
11.0%
Males
Exceptional
10.4%
Exceptional
10.3%
Females
Exceptional
11.3%
Exceptional
11.8%
Age | Under 5 years
Fair
1.3%
Exceptional
0.85%
Age | 5 to 17 years
Exceptional
5.3%
Exceptional
5.2%
Age | 18 to 34 years
Exceptional
6.0%
Exceptional
5.6%
Age | 35 to 64 years
Exceptional
9.9%
Excellent
10.9%
Age | 65 to 74 years
Exceptional
22.2%
Fair
23.6%
Age | Over 75 years
Excellent
46.8%
Tragic
48.0%
Vision
Exceptional
2.1%
Good
2.1%
Hearing
Exceptional
2.7%
Exceptional
2.4%
Cognitive
Exceptional
16.7%
Tragic
17.8%
Ambulatory
Exceptional
5.7%
Fair
6.2%
Self-Care
Exceptional
2.4%
Tragic
2.6%