French vs Immigrants from Bangladesh Community Comparison

COMPARE

French
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 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

French

Immigrants from Bangladesh

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

Immigrants from Bangladesh Integration in French Communities

The statistical analysis conducted on geographies consisting of 203,233,749 people shows a moderate negative correlation between the proportion of Immigrants from Bangladesh within French communities in the United States with a correlation coefficient (R) of -0.492. On average, for every 1% (one percent) increase in French within a typical geography, there is a decrease of 0.011% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 French corresponds to a decrease of 10.5 Immigrants from Bangladesh.
French Integration in Immigrants from Bangladesh Communities

French vs Immigrants from Bangladesh Income

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

French vs Immigrants from Bangladesh Poverty

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

French vs Immigrants from Bangladesh Unemployment

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

French vs Immigrants from Bangladesh Labor Participation

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

French vs Immigrants from Bangladesh Family Structure

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

French vs Immigrants from Bangladesh Vehicle Availability

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

French vs Immigrants from Bangladesh Education Level

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

French vs Immigrants from Bangladesh Disability

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