Immigrants from Bangladesh vs French Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrench 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
French
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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Immigrants from Bangladesh

French

Poor
Average
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
5,755
SOCIAL INDEX
55.1/ 100
SOCIAL RATING
169th/ 347
SOCIAL RANK

French Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 203,224,446 people shows a weak negative correlation between the proportion of French within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.211. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.055% in French. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 54.8 French.
Immigrants from Bangladesh Integration in French Communities

Immigrants from Bangladesh vs French Income

When considering income, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in wage/income gap (20.9% compared to 28.7%, a difference of 37.0%), householder income ages 45 - 64 years ($92,208 compared to $99,824, a difference of 8.3%), and median family income ($94,665 compared to $102,368, a difference of 8.1%). Conversely, both communities are more comparable in terms of median earnings ($45,532 compared to $46,296, a difference of 1.7%), median household income ($80,722 compared to $83,468, a difference of 3.4%), and householder income ages 25 - 44 years ($90,448 compared to $93,665, a difference of 3.6%).
Immigrants from Bangladesh vs French Income
Income MetricImmigrants from BangladeshFrench
Per Capita Income
Poor
$41,709
Average
$43,685
Median Family Income
Tragic
$94,665
Average
$102,368
Median Household Income
Tragic
$80,722
Fair
$83,468
Median Earnings
Fair
$45,532
Average
$46,296
Median Male Earnings
Tragic
$51,642
Good
$55,350
Median Female Earnings
Good
$39,910
Tragic
$38,457
Householder Age | Under 25 years
Exceptional
$54,714
Tragic
$51,230
Householder Age | 25 - 44 years
Tragic
$90,448
Fair
$93,665
Householder Age | 45 - 64 years
Tragic
$92,208
Average
$99,824
Householder Age | Over 65 years
Tragic
$55,394
Fair
$59,656
Wage/Income Gap
Exceptional
20.9%
Tragic
28.7%

Immigrants from Bangladesh vs French Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in married-couple family poverty (7.5% compared to 4.3%, a difference of 72.5%), receiving food stamps (15.9% compared to 10.7%, a difference of 48.4%), and seniors poverty over the age of 65 (14.1% compared to 9.7%, a difference of 45.5%). Conversely, both communities are more comparable in terms of single female poverty (22.3% compared to 22.2%, a difference of 0.35%), single mother poverty (31.1% compared to 30.7%, a difference of 1.5%), and female poverty among 25-34 year olds (14.8% compared to 14.3%, a difference of 3.5%).
Immigrants from Bangladesh vs French Poverty
Poverty MetricImmigrants from BangladeshFrench
Poverty
Tragic
15.3%
Excellent
11.8%
Families
Tragic
11.7%
Exceptional
8.3%
Males
Tragic
14.1%
Excellent
10.7%
Females
Tragic
16.4%
Excellent
12.9%
Females 18 to 24 years
Tragic
21.8%
Tragic
20.7%
Females 25 to 34 years
Tragic
14.8%
Tragic
14.3%
Children Under 5 years
Tragic
20.1%
Fair
17.5%
Children Under 16 years
Tragic
19.8%
Good
15.6%
Boys Under 16 years
Tragic
19.9%
Good
15.8%
Girls Under 16 years
Tragic
19.9%
Good
16.0%
Single Males
Fair
13.0%
Tragic
14.4%
Single Females
Tragic
22.3%
Tragic
22.2%
Single Fathers
Average
16.3%
Tragic
18.2%
Single Mothers
Tragic
31.1%
Tragic
30.7%
Married Couples
Tragic
7.5%
Exceptional
4.3%
Seniors Over 65 years
Tragic
14.1%
Exceptional
9.7%
Seniors Over 75 years
Tragic
15.8%
Exceptional
11.1%
Receiving Food Stamps
Tragic
15.9%
Exceptional
10.7%

Immigrants from Bangladesh vs French Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in female unemployment (6.5% compared to 4.8%, a difference of 33.8%), unemployment (6.5% compared to 4.8%, a difference of 33.8%), and male unemployment (6.6% compared to 5.0%, a difference of 30.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (8.8% compared to 8.2%, a difference of 8.3%), unemployment among ages 65 to 74 years (5.9% compared to 5.4%, a difference of 8.8%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 9.7%, a difference of 9.8%).
Immigrants from Bangladesh vs French Unemployment
Unemployment MetricImmigrants from BangladeshFrench
Unemployment
Tragic
6.5%
Exceptional
4.8%
Males
Tragic
6.6%
Exceptional
5.0%
Females
Tragic
6.5%
Exceptional
4.8%
Youth < 25
Tragic
14.2%
Exceptional
11.2%
Age | 16 to 19 years
Tragic
21.5%
Exceptional
16.8%
Age | 20 to 24 years
Tragic
12.6%
Excellent
10.1%
Age | 25 to 29 years
Tragic
7.5%
Poor
6.9%
Age | 30 to 34 years
Tragic
6.4%
Poor
5.7%
Age | 35 to 44 years
Tragic
5.3%
Average
4.7%
Age | 45 to 54 years
Tragic
5.4%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.9%
Exceptional
4.7%
Age | 60 to 64 years
Tragic
6.0%
Exceptional
4.7%
Age | 65 to 74 years
Tragic
5.9%
Average
5.4%
Seniors > 65
Tragic
5.7%
Good
5.1%
Seniors > 75
Tragic
9.1%
Tragic
10.3%
Women w/ Children < 6
Tragic
8.8%
Tragic
8.2%
Women w/ Children 6 to 17
Good
8.8%
Tragic
9.7%
Women w/ Children < 18
Tragic
6.4%
Excellent
5.2%

Immigrants from Bangladesh vs French Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 42.1%, a difference of 40.2%), in labor force | age 20-24 (70.6% compared to 77.4%, a difference of 9.6%), and in labor force | age 25-29 (83.0% compared to 84.7%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 63.9%, a difference of 0.94%), in labor force | age 30-34 (83.6% compared to 84.4%, a difference of 0.97%), and in labor force | age 20-64 (77.9% compared to 78.9%, a difference of 1.3%).
Immigrants from Bangladesh vs French Labor Participation
Labor Participation MetricImmigrants from BangladeshFrench
In Labor Force | Age > 16
Tragic
64.5%
Tragic
63.9%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
78.9%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
42.1%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
77.4%
In Labor Force | Age 25-29
Tragic
83.0%
Good
84.7%
In Labor Force | Age 30-34
Tragic
83.6%
Poor
84.4%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
84.0%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
82.2%

Immigrants from Bangladesh vs French Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in divorced or separated (11.0% compared to 12.8%, a difference of 16.4%), single mother households (6.9% compared to 6.0%, a difference of 14.5%), and single father households (2.1% compared to 2.4%, a difference of 14.5%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 64.0%, a difference of 0.30%), family households with children (27.6% compared to 26.7%, a difference of 3.2%), and births to unmarried women (30.9% compared to 33.4%, a difference of 8.2%).
Immigrants from Bangladesh vs French Family Structure
Family Structure MetricImmigrants from BangladeshFrench
Family Households
Poor
63.9%
Fair
64.0%
Family Households with Children
Good
27.6%
Tragic
26.7%
Married-couple Households
Tragic
43.1%
Exceptional
48.0%
Average Family Size
Exceptional
3.36
Tragic
3.10
Single Father Households
Exceptional
2.1%
Fair
2.4%
Single Mother Households
Tragic
6.9%
Excellent
6.0%
Currently Married
Tragic
43.6%
Exceptional
48.4%
Divorced or Separated
Exceptional
11.0%
Tragic
12.8%
Births to Unmarried Women
Good
30.9%
Tragic
33.4%

Immigrants from Bangladesh vs French Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in no vehicles in household (25.8% compared to 7.4%, a difference of 246.1%), 4 or more vehicles in household (3.9% compared to 6.9%, a difference of 77.7%), and 3 or more vehicles in household (12.5% compared to 21.4%, a difference of 71.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 92.7%, a difference of 24.7%), 2 or more vehicles in household (38.8% compared to 59.8%, a difference of 54.1%), and 3 or more vehicles in household (12.5% compared to 21.4%, a difference of 71.0%).
Immigrants from Bangladesh vs French Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshFrench
No Vehicles Available
Tragic
25.8%
Exceptional
7.4%
1+ Vehicles Available
Tragic
74.3%
Exceptional
92.7%
2+ Vehicles Available
Tragic
38.8%
Exceptional
59.8%
3+ Vehicles Available
Tragic
12.5%
Exceptional
21.4%
4+ Vehicles Available
Tragic
3.9%
Exceptional
6.9%

Immigrants from Bangladesh vs French Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in no schooling completed (3.1% compared to 1.5%, a difference of 112.0%), master's degree (15.5% compared to 14.4%, a difference of 7.7%), and college, under 1 year (61.3% compared to 65.4%, a difference of 6.7%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.18%), associate's degree (45.2% compared to 45.4%, a difference of 0.45%), and nursery school (96.9% compared to 98.6%, a difference of 1.8%).
Immigrants from Bangladesh vs French Education Level
Education Level MetricImmigrants from BangladeshFrench
No Schooling Completed
Tragic
3.1%
Exceptional
1.5%
Nursery School
Tragic
96.9%
Exceptional
98.6%
Kindergarten
Tragic
96.8%
Exceptional
98.6%
1st Grade
Tragic
96.8%
Exceptional
98.6%
2nd Grade
Tragic
96.7%
Exceptional
98.5%
3rd Grade
Tragic
96.6%
Exceptional
98.4%
4th Grade
Tragic
96.2%
Exceptional
98.3%
5th Grade
Tragic
96.0%
Exceptional
98.2%
6th Grade
Tragic
95.4%
Exceptional
98.0%
7th Grade
Tragic
94.0%
Exceptional
97.4%
8th Grade
Tragic
93.6%
Exceptional
97.1%
9th Grade
Tragic
92.4%
Exceptional
96.3%
10th Grade
Tragic
91.0%
Exceptional
95.3%
11th Grade
Tragic
89.5%
Exceptional
94.1%
12th Grade, No Diploma
Tragic
88.0%
Exceptional
92.6%
High School Diploma
Tragic
85.5%
Exceptional
91.0%
GED/Equivalency
Tragic
81.9%
Exceptional
87.1%
College, Under 1 year
Tragic
61.3%
Average
65.4%
College, 1 year or more
Tragic
56.6%
Fair
58.9%
Associate's Degree
Fair
45.2%
Fair
45.4%
Bachelor's Degree
Average
37.8%
Poor
36.5%
Master's Degree
Good
15.5%
Fair
14.4%
Professional Degree
Average
4.4%
Fair
4.2%
Doctorate Degree
Average
1.8%
Average
1.8%

Immigrants from Bangladesh vs French Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and French communities in the United States are seen in disability age under 5 (0.85% compared to 1.7%, a difference of 98.3%), hearing disability (2.4% compared to 3.8%, a difference of 54.8%), and disability age 18 to 34 (5.6% compared to 7.9%, a difference of 39.7%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.6% compared to 23.9%, a difference of 1.2%), disability age over 75 (48.0% compared to 47.2%, a difference of 1.8%), and self-care disability (2.6% compared to 2.5%, a difference of 3.9%).
Immigrants from Bangladesh vs French Disability
Disability MetricImmigrants from BangladeshFrench
Disability
Exceptional
11.0%
Tragic
13.2%
Males
Exceptional
10.3%
Tragic
13.0%
Females
Exceptional
11.8%
Tragic
13.3%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
6.4%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.9%
Age | 35 to 64 years
Excellent
10.9%
Tragic
12.7%
Age | 65 to 74 years
Fair
23.6%
Poor
23.9%
Age | Over 75 years
Tragic
48.0%
Good
47.2%
Vision
Good
2.1%
Tragic
2.3%
Hearing
Exceptional
2.4%
Tragic
3.8%
Cognitive
Tragic
17.8%
Excellent
17.0%
Ambulatory
Fair
6.2%
Tragic
6.6%
Self-Care
Tragic
2.6%
Tragic
2.5%