Bangladeshi vs Mongolian 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 IndianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Mongolian
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

Mongolians

Fair
Good
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK

Mongolian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 77,500,233 people shows no correlation between the proportion of Mongolians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.030. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.000% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 0.2 Mongolians.
Bangladeshi Integration in Mongolian Communities

Bangladeshi vs Mongolian Income

When considering income, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in per capita income ($35,897 compared to $49,173, a difference of 37.0%), median family income ($88,358 compared to $114,553, a difference of 29.6%), and householder income ages 45 - 64 years ($86,402 compared to $111,602, a difference of 29.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $52,540, a difference of 10.4%), median female earnings ($35,960 compared to $42,542, a difference of 18.3%), and householder income over 65 years ($54,719 compared to $65,326, a difference of 19.4%).
Bangladeshi vs Mongolian Income
Income MetricBangladeshiMongolian
Per Capita Income
Tragic
$35,897
Exceptional
$49,173
Median Family Income
Tragic
$88,358
Exceptional
$114,553
Median Household Income
Tragic
$74,112
Exceptional
$93,971
Median Earnings
Tragic
$41,263
Exceptional
$51,038
Median Male Earnings
Tragic
$46,744
Exceptional
$60,350
Median Female Earnings
Tragic
$35,960
Exceptional
$42,542
Householder Age | Under 25 years
Tragic
$47,589
Good
$52,540
Householder Age | 25 - 44 years
Tragic
$81,363
Exceptional
$104,578
Householder Age | 45 - 64 years
Tragic
$86,402
Exceptional
$111,602
Householder Age | Over 65 years
Tragic
$54,719
Exceptional
$65,326
Wage/Income Gap
Exceptional
22.2%
Poor
26.6%

Bangladeshi vs Mongolian Poverty

When considering poverty, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in receiving food stamps (15.0% compared to 10.5%, a difference of 44.0%), child poverty under the age of 16 (19.9% compared to 15.2%, a difference of 31.2%), and child poverty among boys under 16 (20.0% compared to 15.4%, a difference of 30.0%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.3%, a difference of 0.42%), seniors poverty over the age of 75 (12.0% compared to 12.2%, a difference of 2.2%), and seniors poverty over the age of 65 (11.2% compared to 10.9%, a difference of 3.2%).
Bangladeshi vs Mongolian Poverty
Poverty MetricBangladeshiMongolian
Poverty
Tragic
14.8%
Average
12.4%
Families
Tragic
10.9%
Excellent
8.6%
Males
Tragic
13.6%
Fair
11.3%
Females
Tragic
16.0%
Average
13.4%
Females 18 to 24 years
Tragic
22.5%
Tragic
21.6%
Females 25 to 34 years
Tragic
15.9%
Exceptional
12.8%
Children Under 5 years
Tragic
20.6%
Exceptional
16.1%
Children Under 16 years
Tragic
19.9%
Excellent
15.2%
Boys Under 16 years
Tragic
20.0%
Exceptional
15.4%
Girls Under 16 years
Tragic
20.0%
Excellent
15.4%
Single Males
Tragic
13.3%
Exceptional
12.2%
Single Females
Tragic
24.2%
Exceptional
20.2%
Single Fathers
Exceptional
15.2%
Exceptional
15.3%
Single Mothers
Tragic
31.7%
Exceptional
27.7%
Married Couples
Tragic
6.0%
Good
5.0%
Seniors Over 65 years
Fair
11.2%
Average
10.9%
Seniors Over 75 years
Good
12.0%
Average
12.2%
Receiving Food Stamps
Tragic
15.0%
Exceptional
10.5%

Bangladeshi vs Mongolian Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 16.0%), unemployment among women with children ages 6 to 17 years (7.4% compared to 8.4%, a difference of 14.3%), and unemployment among seniors over 75 years (9.6% compared to 8.6%, a difference of 11.9%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.9% compared to 16.9%, a difference of 0.070%), unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.13%), and unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.91%).
Bangladeshi vs Mongolian Unemployment
Unemployment MetricBangladeshiMongolian
Unemployment
Poor
5.4%
Exceptional
5.0%
Males
Tragic
5.7%
Excellent
5.1%
Females
Good
5.2%
Exceptional
5.0%
Youth < 25
Average
11.6%
Exceptional
11.1%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.9%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.2%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.2%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.3%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.6%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Good
5.3%
Good
5.3%
Seniors > 65
Fair
5.2%
Average
5.1%
Seniors > 75
Tragic
9.6%
Excellent
8.6%
Women w/ Children < 6
Good
7.5%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.4%
Women w/ Children < 18
Good
5.3%
Exceptional
5.0%

Bangladeshi vs Mongolian Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 35.3%, a difference of 20.4%), in labor force | age 20-24 (78.1% compared to 73.3%, a difference of 6.5%), and in labor force | age 45-54 (81.3% compared to 83.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.0%), in labor force | age > 16 (65.9% compared to 66.1%, a difference of 0.17%), and in labor force | age 20-64 (79.3% compared to 79.9%, a difference of 0.82%).
Bangladeshi vs Mongolian Labor Participation
Labor Participation MetricBangladeshiMongolian
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
66.1%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
79.9%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
35.3%
In Labor Force | Age 20-24
Exceptional
78.1%
Tragic
73.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.3%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
84.8%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
83.3%

Bangladeshi vs Mongolian Family Structure

When considering family structure, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in single father households (3.1% compared to 2.1%, a difference of 49.7%), single mother households (8.1% compared to 5.8%, a difference of 40.6%), and births to unmarried women (34.4% compared to 27.9%, a difference of 23.3%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 62.8%, a difference of 2.3%), average family size (3.37 compared to 3.20, a difference of 5.3%), and currently married (43.7% compared to 46.4%, a difference of 6.3%).
Bangladeshi vs Mongolian Family Structure
Family Structure MetricBangladeshiMongolian
Family Households
Average
64.3%
Tragic
62.8%
Family Households with Children
Exceptional
30.1%
Good
27.6%
Married-couple Households
Tragic
43.5%
Average
46.3%
Average Family Size
Exceptional
3.37
Poor
3.20
Single Father Households
Tragic
3.1%
Exceptional
2.1%
Single Mother Households
Tragic
8.1%
Exceptional
5.8%
Currently Married
Tragic
43.7%
Fair
46.4%
Divorced or Separated
Poor
12.3%
Exceptional
11.1%
Births to Unmarried Women
Tragic
34.4%
Exceptional
27.9%

Bangladeshi vs Mongolian Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in no vehicles in household (8.7% compared to 13.1%, a difference of 51.5%), 4 or more vehicles in household (7.6% compared to 5.8%, a difference of 30.1%), and 3 or more vehicles in household (21.9% compared to 18.1%, a difference of 20.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 87.0%, a difference of 5.1%), 2 or more vehicles in household (58.4% compared to 52.8%, a difference of 10.6%), and 3 or more vehicles in household (21.9% compared to 18.1%, a difference of 20.7%).
Bangladeshi vs Mongolian Vehicle Availability
Vehicle Availability MetricBangladeshiMongolian
No Vehicles Available
Exceptional
8.7%
Tragic
13.1%
1+ Vehicles Available
Exceptional
91.4%
Tragic
87.0%
2+ Vehicles Available
Exceptional
58.4%
Tragic
52.8%
3+ Vehicles Available
Exceptional
21.9%
Tragic
18.1%
4+ Vehicles Available
Exceptional
7.6%
Tragic
5.8%

Bangladeshi vs Mongolian Education Level

When considering education level, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in doctorate degree (1.2% compared to 2.8%, a difference of 127.8%), professional degree (3.1% compared to 6.1%, a difference of 98.6%), and master's degree (10.5% compared to 19.4%, a difference of 85.1%). Conversely, both communities are more comparable in terms of kindergarten (96.6% compared to 97.9%, a difference of 1.4%), nursery school (96.6% compared to 97.9%, a difference of 1.4%), and 1st grade (96.5% compared to 97.9%, a difference of 1.4%).
Bangladeshi vs Mongolian Education Level
Education Level MetricBangladeshiMongolian
No Schooling Completed
Tragic
3.5%
Average
2.1%
Nursery School
Tragic
96.6%
Fair
97.9%
Kindergarten
Tragic
96.6%
Fair
97.9%
1st Grade
Tragic
96.5%
Fair
97.9%
2nd Grade
Tragic
96.5%
Fair
97.8%
3rd Grade
Tragic
96.3%
Fair
97.7%
4th Grade
Tragic
96.1%
Fair
97.5%
5th Grade
Tragic
95.9%
Fair
97.3%
6th Grade
Tragic
95.7%
Average
97.0%
7th Grade
Tragic
94.5%
Average
96.0%
8th Grade
Tragic
94.3%
Average
95.8%
9th Grade
Tragic
93.4%
Good
95.0%
10th Grade
Tragic
92.2%
Good
94.0%
11th Grade
Tragic
90.9%
Excellent
93.0%
12th Grade, No Diploma
Tragic
89.3%
Excellent
91.8%
High School Diploma
Tragic
86.9%
Exceptional
89.9%
GED/Equivalency
Tragic
83.1%
Exceptional
87.0%
College, Under 1 year
Tragic
61.4%
Exceptional
69.9%
College, 1 year or more
Tragic
54.5%
Exceptional
64.8%
Associate's Degree
Tragic
40.0%
Exceptional
53.0%
Bachelor's Degree
Tragic
30.2%
Exceptional
45.4%
Master's Degree
Tragic
10.5%
Exceptional
19.4%
Professional Degree
Tragic
3.1%
Exceptional
6.1%
Doctorate Degree
Tragic
1.2%
Exceptional
2.8%

Bangladeshi vs Mongolian Disability

When considering disability, the most significant differences between Bangladeshi and Mongolian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.1%, a difference of 34.6%), disability age 65 to 74 (26.8% compared to 21.8%, a difference of 23.3%), and vision disability (2.3% compared to 1.9%, a difference of 21.5%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 17.7%, a difference of 4.9%), disability age over 75 (49.4% compared to 46.3%, a difference of 6.6%), and disability age 5 to 17 (5.8% compared to 5.3%, a difference of 10.2%).
Bangladeshi vs Mongolian Disability
Disability MetricBangladeshiMongolian
Disability
Tragic
12.6%
Exceptional
10.8%
Males
Tragic
12.0%
Exceptional
10.3%
Females
Tragic
13.1%
Exceptional
11.2%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.4%
Exceptional
6.2%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
10.1%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
21.8%
Age | Over 75 years
Tragic
49.4%
Exceptional
46.3%
Vision
Tragic
2.3%
Exceptional
1.9%
Hearing
Tragic
3.2%
Exceptional
2.7%
Cognitive
Tragic
18.6%
Tragic
17.7%
Ambulatory
Poor
6.3%
Exceptional
5.5%
Self-Care
Tragic
2.8%
Exceptional
2.3%