Immigrants from Congo vs Bangladeshi Community Comparison

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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
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 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

Bangladeshis

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

Bangladeshi Integration in Immigrants from Congo Communities

The statistical analysis conducted on geographies consisting of 56,132,562 people shows a slight negative correlation between the proportion of Bangladeshis within Immigrant from Congo communities in the United States with a correlation coefficient (R) of -0.091. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is a decrease of 0.153% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to a decrease of 153.0 Bangladeshis.
Immigrants from Congo Integration in Bangladeshi Communities

Immigrants from Congo vs Bangladeshi Income

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

Immigrants from Congo vs Bangladeshi Poverty

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

Immigrants from Congo vs Bangladeshi Unemployment

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

Immigrants from Congo vs Bangladeshi Labor Participation

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

Immigrants from Congo vs Bangladeshi Family Structure

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

Immigrants from Congo vs Bangladeshi Vehicle Availability

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

Immigrants from Congo vs Bangladeshi Education Level

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

Immigrants from Congo vs Bangladeshi Disability

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