Bangladeshi vs Immigrants from Congo Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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
Immigrants from Congo
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 Congo

Fair
Fair
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
2,417
SOCIAL INDEX
21.7/ 100
SOCIAL RATING
260th/ 347
SOCIAL RANK

Immigrants from Congo Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 56,132,562 people shows a weak negative correlation between the proportion of Immigrants from Congo within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.278. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.002% in Immigrants from Congo. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 2.3 Immigrants from Congo.
Bangladeshi Integration in Immigrants from Congo Communities

Bangladeshi vs Immigrants from Congo Income

When considering income, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in householder income ages 25 - 44 years ($81,363 compared to $72,178, a difference of 12.7%), median household income ($74,112 compared to $66,768, a difference of 11.0%), and householder income ages 45 - 64 years ($86,402 compared to $77,850, a difference of 11.0%). Conversely, both communities are more comparable in terms of per capita income ($35,897 compared to $35,720, a difference of 0.50%), wage/income gap (22.2% compared to 21.7%, a difference of 2.2%), and median female earnings ($35,960 compared to $34,317, a difference of 4.8%).
Bangladeshi vs Immigrants from Congo Income
Income MetricBangladeshiImmigrants from Congo
Per Capita Income
Tragic
$35,897
Tragic
$35,720
Median Family Income
Tragic
$88,358
Tragic
$82,216
Median Household Income
Tragic
$74,112
Tragic
$66,768
Median Earnings
Tragic
$41,263
Tragic
$39,169
Median Male Earnings
Tragic
$46,744
Tragic
$44,204
Median Female Earnings
Tragic
$35,960
Tragic
$34,317
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$43,266
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$72,178
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$77,850
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$51,393
Wage/Income Gap
Exceptional
22.2%
Exceptional
21.7%

Bangladeshi vs Immigrants from Congo Poverty

When considering poverty, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in child poverty under the age of 5 (20.6% compared to 23.9%, a difference of 15.8%), child poverty among girls under 16 (20.0% compared to 22.7%, a difference of 13.8%), and child poverty under the age of 16 (19.9% compared to 22.5%, a difference of 13.2%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.3%), married-couple family poverty (6.0% compared to 6.1%, a difference of 2.2%), and single male poverty (13.3% compared to 13.9%, a difference of 3.9%).
Bangladeshi vs Immigrants from Congo Poverty
Poverty MetricBangladeshiImmigrants from Congo
Poverty
Tragic
14.8%
Tragic
16.1%
Families
Tragic
10.9%
Tragic
11.9%
Males
Tragic
13.6%
Tragic
14.7%
Females
Tragic
16.0%
Tragic
17.4%
Females 18 to 24 years
Tragic
22.5%
Tragic
24.6%
Females 25 to 34 years
Tragic
15.9%
Tragic
16.7%
Children Under 5 years
Tragic
20.6%
Tragic
23.9%
Children Under 16 years
Tragic
19.9%
Tragic
22.5%
Boys Under 16 years
Tragic
20.0%
Tragic
22.4%
Girls Under 16 years
Tragic
20.0%
Tragic
22.7%
Single Males
Tragic
13.3%
Tragic
13.9%
Single Females
Tragic
24.2%
Tragic
25.3%
Single Fathers
Exceptional
15.2%
Exceptional
15.4%
Single Mothers
Tragic
31.7%
Tragic
33.8%
Married Couples
Tragic
6.0%
Tragic
6.1%
Seniors Over 65 years
Fair
11.2%
Tragic
11.7%
Seniors Over 75 years
Good
12.0%
Fair
12.5%
Receiving Food Stamps
Tragic
15.0%
Tragic
14.1%

Bangladeshi vs Immigrants from Congo Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in unemployment among seniors over 75 years (9.6% compared to 6.7%, a difference of 42.7%), unemployment among women with children ages 6 to 17 years (7.4% compared to 9.0%, a difference of 22.9%), and unemployment among seniors over 65 years (5.2% compared to 4.5%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.8% compared to 4.7%, a difference of 0.49%), female unemployment (5.2% compared to 5.3%, a difference of 1.3%), and unemployment among ages 45 to 54 years (4.5% compared to 4.4%, a difference of 1.3%).
Bangladeshi vs Immigrants from Congo Unemployment
Unemployment MetricBangladeshiImmigrants from Congo
Unemployment
Poor
5.4%
Average
5.3%
Males
Tragic
5.7%
Average
5.3%
Females
Good
5.2%
Average
5.3%
Youth < 25
Average
11.6%
Exceptional
10.9%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.3%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.2%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.4%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.1%
Age | 35 to 44 years
Fair
4.8%
Fair
4.7%
Age | 45 to 54 years
Average
4.5%
Excellent
4.4%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.3%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.1%
Age | 65 to 74 years
Good
5.3%
Exceptional
4.7%
Seniors > 65
Fair
5.2%
Exceptional
4.5%
Seniors > 75
Tragic
9.6%
Exceptional
6.7%
Women w/ Children < 6
Good
7.5%
Tragic
8.5%
Women w/ Children 6 to 17
Exceptional
7.4%
Fair
9.0%
Women w/ Children < 18
Good
5.3%
Tragic
6.0%

Bangladeshi vs Immigrants from Congo Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 41.7%, a difference of 1.8%), in labor force | age > 16 (65.9% compared to 67.1%, a difference of 1.8%), and in labor force | age 25-29 (85.1% compared to 84.2%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.3% compared to 79.3%, a difference of 0.020%), in labor force | age 30-34 (84.3% compared to 84.6%, a difference of 0.25%), and in labor force | age 45-54 (81.3% compared to 81.6%, a difference of 0.29%).
Bangladeshi vs Immigrants from Congo Labor Participation
Labor Participation MetricBangladeshiImmigrants from Congo
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
67.1%
In Labor Force | Age 20-64
Poor
79.3%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
41.7%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
77.4%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
84.2%
In Labor Force | Age 30-34
Tragic
84.3%
Fair
84.6%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
83.5%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
81.6%

Bangladeshi vs Immigrants from Congo Family Structure

When considering family structure, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in single father households (3.1% compared to 2.5%, a difference of 21.5%), married-couple households (43.5% compared to 39.0%, a difference of 11.5%), and family households with children (30.1% compared to 27.3%, a difference of 10.2%). Conversely, both communities are more comparable in terms of single mother households (8.1% compared to 8.1%, a difference of 0.29%), average family size (3.37 compared to 3.23, a difference of 4.3%), and currently married (43.7% compared to 41.1%, a difference of 6.4%).
Bangladeshi vs Immigrants from Congo Family Structure
Family Structure MetricBangladeshiImmigrants from Congo
Family Households
Average
64.3%
Tragic
59.2%
Family Households with Children
Exceptional
30.1%
Fair
27.3%
Married-couple Households
Tragic
43.5%
Tragic
39.0%
Average Family Size
Exceptional
3.37
Average
3.23
Single Father Households
Tragic
3.1%
Tragic
2.5%
Single Mother Households
Tragic
8.1%
Tragic
8.1%
Currently Married
Tragic
43.7%
Tragic
41.1%
Divorced or Separated
Poor
12.3%
Tragic
13.5%
Births to Unmarried Women
Tragic
34.4%
Tragic
36.8%

Bangladeshi vs Immigrants from Congo Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.2%, a difference of 43.8%), 3 or more vehicles in household (21.9% compared to 17.0%, a difference of 28.8%), and no vehicles in household (8.7% compared to 10.1%, a difference of 16.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.0%, a difference of 1.5%), 2 or more vehicles in household (58.4% compared to 52.1%, a difference of 12.1%), and no vehicles in household (8.7% compared to 10.1%, a difference of 16.0%).
Bangladeshi vs Immigrants from Congo Vehicle Availability
Vehicle Availability MetricBangladeshiImmigrants from Congo
No Vehicles Available
Exceptional
8.7%
Good
10.1%
1+ Vehicles Available
Exceptional
91.4%
Good
90.0%
2+ Vehicles Available
Exceptional
58.4%
Tragic
52.1%
3+ Vehicles Available
Exceptional
21.9%
Tragic
17.0%
4+ Vehicles Available
Exceptional
7.6%
Tragic
5.2%

Bangladeshi vs Immigrants from Congo Education Level

When considering education level, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in no schooling completed (3.5% compared to 2.4%, a difference of 48.2%), doctorate degree (1.2% compared to 1.6%, a difference of 31.6%), and master's degree (10.5% compared to 12.6%, a difference of 20.6%). Conversely, both communities are more comparable in terms of ged/equivalency (83.1% compared to 83.1%, a difference of 0.010%), 11th grade (90.9% compared to 90.9%, a difference of 0.020%), and high school diploma (86.9% compared to 87.0%, a difference of 0.19%).
Bangladeshi vs Immigrants from Congo Education Level
Education Level MetricBangladeshiImmigrants from Congo
No Schooling Completed
Tragic
3.5%
Tragic
2.4%
Nursery School
Tragic
96.6%
Tragic
97.6%
Kindergarten
Tragic
96.6%
Tragic
97.6%
1st Grade
Tragic
96.5%
Tragic
97.5%
2nd Grade
Tragic
96.5%
Tragic
97.5%
3rd Grade
Tragic
96.3%
Tragic
97.3%
4th Grade
Tragic
96.1%
Tragic
97.0%
5th Grade
Tragic
95.9%
Tragic
96.8%
6th Grade
Tragic
95.7%
Tragic
96.5%
7th Grade
Tragic
94.5%
Tragic
95.3%
8th Grade
Tragic
94.3%
Tragic
94.9%
9th Grade
Tragic
93.4%
Tragic
93.9%
10th Grade
Tragic
92.2%
Tragic
92.4%
11th Grade
Tragic
90.9%
Tragic
90.9%
12th Grade, No Diploma
Tragic
89.3%
Tragic
89.0%
High School Diploma
Tragic
86.9%
Tragic
87.0%
GED/Equivalency
Tragic
83.1%
Tragic
83.1%
College, Under 1 year
Tragic
61.4%
Tragic
61.7%
College, 1 year or more
Tragic
54.5%
Tragic
55.6%
Associate's Degree
Tragic
40.0%
Tragic
41.8%
Bachelor's Degree
Tragic
30.2%
Tragic
33.6%
Master's Degree
Tragic
10.5%
Tragic
12.6%
Professional Degree
Tragic
3.1%
Tragic
3.6%
Doctorate Degree
Tragic
1.2%
Tragic
1.6%

Bangladeshi vs Immigrants from Congo Disability

When considering disability, the most significant differences between Bangladeshi and Immigrants from Congo communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 20.5%), self-care disability (2.8% compared to 2.4%, a difference of 19.8%), and hearing disability (3.2% compared to 2.9%, a difference of 9.1%). Conversely, both communities are more comparable in terms of ambulatory disability (6.3% compared to 6.2%, a difference of 0.39%), disability age over 75 (49.4% compared to 48.7%, a difference of 1.4%), and vision disability (2.3% compared to 2.3%, a difference of 1.7%).
Bangladeshi vs Immigrants from Congo Disability
Disability MetricBangladeshiImmigrants from Congo
Disability
Tragic
12.6%
Tragic
12.2%
Males
Tragic
12.0%
Tragic
11.7%
Females
Tragic
13.1%
Tragic
12.7%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.2%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.1%
Age | 35 to 64 years
Tragic
13.6%
Tragic
13.3%
Age | 65 to 74 years
Tragic
26.8%
Tragic
26.0%
Age | Over 75 years
Tragic
49.4%
Tragic
48.7%
Vision
Tragic
2.3%
Tragic
2.3%
Hearing
Tragic
3.2%
Good
2.9%
Cognitive
Tragic
18.6%
Tragic
19.7%
Ambulatory
Poor
6.3%
Poor
6.2%
Self-Care
Tragic
2.8%
Exceptional
2.4%