Bangladeshi vs Immigrants from Peru Community Comparison

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Bangladeshi
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
Immigrants from Peru
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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

Bangladeshis

Immigrants from Peru

Fair
Average
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
5,294
SOCIAL INDEX
50.4/ 100
SOCIAL RATING
181st/ 347
SOCIAL RANK

Immigrants from Peru Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 115,467,424 people shows a mild negative correlation between the proportion of Immigrants from Peru within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.396. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.003% in Immigrants from Peru. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 3.5 Immigrants from Peru.
Bangladeshi Integration in Immigrants from Peru Communities

Bangladeshi vs Immigrants from Peru Income

When considering income, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in per capita income ($35,897 compared to $43,852, a difference of 22.2%), median household income ($74,112 compared to $89,010, a difference of 20.1%), and householder income ages 25 - 44 years ($81,363 compared to $97,329, a difference of 19.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $39,871, a difference of 10.9%), householder income over 65 years ($54,719 compared to $61,988, a difference of 13.3%), and wage/income gap (22.2% compared to 25.1%, a difference of 13.3%).
Bangladeshi vs Immigrants from Peru Income
Income MetricBangladeshiImmigrants from Peru
Per Capita Income
Tragic
$35,897
Average
$43,852
Median Family Income
Tragic
$88,358
Good
$103,534
Median Household Income
Tragic
$74,112
Exceptional
$89,010
Median Earnings
Tragic
$41,263
Good
$47,025
Median Male Earnings
Tragic
$46,744
Average
$54,695
Median Female Earnings
Tragic
$35,960
Average
$39,871
Householder Age | Under 25 years
Tragic
$47,589
Exceptional
$56,384
Householder Age | 25 - 44 years
Tragic
$81,363
Excellent
$97,329
Householder Age | 45 - 64 years
Tragic
$86,402
Excellent
$103,173
Householder Age | Over 65 years
Tragic
$54,719
Good
$61,988
Wage/Income Gap
Exceptional
22.2%
Excellent
25.1%

Bangladeshi vs Immigrants from Peru Poverty

When considering poverty, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in female poverty among 18-24 year olds (22.5% compared to 16.9%, a difference of 33.1%), child poverty under the age of 16 (19.9% compared to 15.5%, a difference of 28.6%), and child poverty among girls under 16 (20.0% compared to 15.6%, a difference of 28.3%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.3%, a difference of 0.99%), seniors poverty over the age of 65 (11.2% compared to 12.0%, a difference of 7.0%), and married-couple family poverty (6.0% compared to 5.4%, a difference of 11.0%).
Bangladeshi vs Immigrants from Peru Poverty
Poverty MetricBangladeshiImmigrants from Peru
Poverty
Tragic
14.8%
Excellent
11.9%
Families
Tragic
10.9%
Average
8.9%
Males
Tragic
13.6%
Excellent
10.7%
Females
Tragic
16.0%
Good
13.0%
Females 18 to 24 years
Tragic
22.5%
Exceptional
16.9%
Females 25 to 34 years
Tragic
15.9%
Exceptional
12.7%
Children Under 5 years
Tragic
20.6%
Exceptional
16.1%
Children Under 16 years
Tragic
19.9%
Excellent
15.5%
Boys Under 16 years
Tragic
20.0%
Excellent
15.7%
Girls Under 16 years
Tragic
20.0%
Excellent
15.6%
Single Males
Tragic
13.3%
Exceptional
11.5%
Single Females
Tragic
24.2%
Exceptional
19.3%
Single Fathers
Exceptional
15.2%
Exceptional
15.3%
Single Mothers
Tragic
31.7%
Exceptional
27.5%
Married Couples
Tragic
6.0%
Fair
5.4%
Seniors Over 65 years
Fair
11.2%
Tragic
12.0%
Seniors Over 75 years
Good
12.0%
Tragic
13.7%
Receiving Food Stamps
Tragic
15.0%
Fair
12.0%

Bangladeshi vs Immigrants from Peru Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.2%, a difference of 24.8%), unemployment among ages 60 to 64 years (4.6% compared to 5.1%, a difference of 10.9%), and unemployment among seniors over 75 years (9.6% compared to 8.9%, a difference of 8.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.010%), unemployment among ages 35 to 44 years (4.8% compared to 4.7%, a difference of 0.94%), and unemployment (5.4% compared to 5.4%, a difference of 1.3%).
Bangladeshi vs Immigrants from Peru Unemployment
Unemployment MetricBangladeshiImmigrants from Peru
Unemployment
Poor
5.4%
Fair
5.4%
Males
Tragic
5.7%
Average
5.3%
Females
Good
5.2%
Tragic
5.5%
Youth < 25
Average
11.6%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.9%
Fair
17.7%
Age | 20 to 24 years
Exceptional
10.0%
Fair
10.4%
Age | 25 to 29 years
Average
6.6%
Good
6.5%
Age | 30 to 34 years
Good
5.3%
Average
5.5%
Age | 35 to 44 years
Fair
4.8%
Fair
4.7%
Age | 45 to 54 years
Average
4.5%
Poor
4.6%
Age | 55 to 59 years
Exceptional
4.7%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.6%
Tragic
5.1%
Age | 65 to 74 years
Good
5.3%
Tragic
5.6%
Seniors > 65
Fair
5.2%
Tragic
5.4%
Seniors > 75
Tragic
9.6%
Fair
8.9%
Women w/ Children < 6
Good
7.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.4%
Poor
9.2%
Women w/ Children < 18
Good
5.3%
Tragic
5.7%

Bangladeshi vs Immigrants from Peru Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.2%, a difference of 24.3%), in labor force | age 20-24 (78.1% compared to 74.5%, a difference of 4.9%), and in labor force | age 45-54 (81.3% compared to 83.5%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 84.7%, a difference of 0.42%), in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.44%), and in labor force | age > 16 (65.9% compared to 66.3%, a difference of 0.55%).
Bangladeshi vs Immigrants from Peru Labor Participation
Labor Participation MetricBangladeshiImmigrants from Peru
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
66.3%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
34.2%
In Labor Force | Age 20-24
Exceptional
78.1%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
85.1%
Average
84.7%
In Labor Force | Age 30-34
Tragic
84.3%
Average
84.7%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
84.9%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
83.5%

Bangladeshi vs Immigrants from Peru Family Structure

When considering family structure, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 28.0%), single mother households (8.1% compared to 6.7%, a difference of 22.3%), and married-couple households (43.5% compared to 47.3%, a difference of 8.7%). Conversely, both communities are more comparable in terms of average family size (3.37 compared to 3.31, a difference of 1.7%), divorced or separated (12.3% compared to 12.0%, a difference of 2.1%), and family households with children (30.1% compared to 28.9%, a difference of 4.1%).
Bangladeshi vs Immigrants from Peru Family Structure
Family Structure MetricBangladeshiImmigrants from Peru
Family Households
Average
64.3%
Exceptional
67.2%
Family Households with Children
Exceptional
30.1%
Exceptional
28.9%
Married-couple Households
Tragic
43.5%
Excellent
47.3%
Average Family Size
Exceptional
3.37
Exceptional
3.31
Single Father Households
Tragic
3.1%
Poor
2.4%
Single Mother Households
Tragic
8.1%
Poor
6.7%
Currently Married
Tragic
43.7%
Fair
46.4%
Divorced or Separated
Poor
12.3%
Average
12.0%
Births to Unmarried Women
Tragic
34.4%
Average
31.8%

Bangladeshi vs Immigrants from Peru Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in no vehicles in household (8.7% compared to 11.5%, a difference of 32.5%), 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 18.2%), and 3 or more vehicles in household (21.9% compared to 19.4%, a difference of 12.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 88.6%, a difference of 3.1%), 2 or more vehicles in household (58.4% compared to 54.4%, a difference of 7.5%), and 3 or more vehicles in household (21.9% compared to 19.4%, a difference of 12.9%).
Bangladeshi vs Immigrants from Peru Vehicle Availability
Vehicle Availability MetricBangladeshiImmigrants from Peru
No Vehicles Available
Exceptional
8.7%
Tragic
11.5%
1+ Vehicles Available
Exceptional
91.4%
Tragic
88.6%
2+ Vehicles Available
Exceptional
58.4%
Poor
54.4%
3+ Vehicles Available
Exceptional
21.9%
Average
19.4%
4+ Vehicles Available
Exceptional
7.6%
Average
6.4%

Bangladeshi vs Immigrants from Peru Education Level

When considering education level, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in doctorate degree (1.2% compared to 1.7%, a difference of 43.3%), professional degree (3.1% compared to 4.4%, a difference of 42.5%), and master's degree (10.5% compared to 14.9%, a difference of 42.3%). Conversely, both communities are more comparable in terms of 10th grade (92.2% compared to 92.2%, a difference of 0.020%), 9th grade (93.4% compared to 93.4%, a difference of 0.040%), and 11th grade (90.9% compared to 91.0%, a difference of 0.17%).
Bangladeshi vs Immigrants from Peru Education Level
Education Level MetricBangladeshiImmigrants from Peru
No Schooling Completed
Tragic
3.5%
Tragic
2.5%
Nursery School
Tragic
96.6%
Tragic
97.5%
Kindergarten
Tragic
96.6%
Tragic
97.5%
1st Grade
Tragic
96.5%
Tragic
97.4%
2nd Grade
Tragic
96.5%
Tragic
97.4%
3rd Grade
Tragic
96.3%
Tragic
97.2%
4th Grade
Tragic
96.1%
Tragic
96.9%
5th Grade
Tragic
95.9%
Tragic
96.6%
6th Grade
Tragic
95.7%
Tragic
96.2%
7th Grade
Tragic
94.5%
Tragic
94.9%
8th Grade
Tragic
94.3%
Tragic
94.5%
9th Grade
Tragic
93.4%
Tragic
93.4%
10th Grade
Tragic
92.2%
Tragic
92.2%
11th Grade
Tragic
90.9%
Tragic
91.0%
12th Grade, No Diploma
Tragic
89.3%
Tragic
89.7%
High School Diploma
Tragic
86.9%
Tragic
87.3%
GED/Equivalency
Tragic
83.1%
Tragic
84.2%
College, Under 1 year
Tragic
61.4%
Tragic
63.1%
College, 1 year or more
Tragic
54.5%
Poor
57.7%
Associate's Degree
Tragic
40.0%
Fair
45.5%
Bachelor's Degree
Tragic
30.2%
Average
37.5%
Master's Degree
Tragic
10.5%
Average
14.9%
Professional Degree
Tragic
3.1%
Average
4.4%
Doctorate Degree
Tragic
1.2%
Poor
1.7%

Bangladeshi vs Immigrants from Peru Disability

When considering disability, the most significant differences between Bangladeshi and Immigrants from Peru communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.8%, a difference of 39.1%), disability age 18 to 34 (7.4% compared to 5.9%, a difference of 25.5%), and disability age 65 to 74 (26.8% compared to 22.3%, a difference of 20.4%). Conversely, both communities are more comparable in terms of disability age under 5 (1.3% compared to 1.2%, a difference of 3.3%), disability age over 75 (49.4% compared to 46.9%, a difference of 5.4%), and ambulatory disability (6.3% compared to 5.7%, a difference of 9.8%).
Bangladeshi vs Immigrants from Peru Disability
Disability MetricBangladeshiImmigrants from Peru
Disability
Tragic
12.6%
Exceptional
10.8%
Males
Tragic
12.0%
Exceptional
10.3%
Females
Tragic
13.1%
Exceptional
11.3%
Age | Under 5 years
Poor
1.3%
Average
1.2%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.4%
Exceptional
5.9%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
9.8%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
22.3%
Age | Over 75 years
Tragic
49.4%
Excellent
46.9%
Vision
Tragic
2.3%
Excellent
2.1%
Hearing
Tragic
3.2%
Exceptional
2.7%
Cognitive
Tragic
18.6%
Exceptional
16.6%
Ambulatory
Poor
6.3%
Exceptional
5.7%
Self-Care
Tragic
2.8%
Excellent
2.4%