Bangladeshi Male Poverty

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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 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
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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
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Male Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Bangladeshi Male Poverty
Tragic

13.6%
POVERTY | MALES
0.0/ 100
METRIC RATING
277th/ 347
METRIC RANK

Bangladeshi Male Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 141,334,691 people shows no correlation between the proportion of Bangladeshis and poverty level among males in the United States with a correlation coefficient (R) of 0.002 and weighted average of 13.6%. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.0014% in poverty level among males.
Bangladeshi Male Poverty
It is essential to understand that the correlation between the percentage of Bangladeshis and poverty level among males does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Bangladeshis influences an upward or downward trend in the level of poverty level among males within an area, or if Bangladeshis simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.

Demographics Similar to Bangladeshis by Male Poverty

In terms of male poverty, the demographic groups most similar to Bangladeshis are Belizean (13.6%, a difference of 0.10%), Immigrants from Latin America (13.6%, a difference of 0.15%), Haitian (13.7%, a difference of 0.27%), Barbadian (13.6%, a difference of 0.34%), and Mexican (13.7%, a difference of 0.37%).
DemographicsRating | RankMale Poverty
Cree
0.0
/100
|
#270
Tragic
13.3%
Spanish Americans
0.0
/100
|
#271
Tragic
13.4%
Immigrants from Bahamas
0.0
/100
|
#272
Tragic
13.5%
Chickasaw
0.0
/100
|
#273
Tragic
13.5%
Immigrants from West Indies
0.0
/100
|
#274
Tragic
13.5%
Barbadians
0.0
/100
|
#275
Tragic
13.6%
Immigrants from Latin America
0.0
/100
|
#276
Tragic
13.6%
Bangladeshis
0.0
/100
|
#277
Tragic
13.6%
Belizeans
0.0
/100
|
#278
Tragic
13.6%
Haitians
0.0
/100
|
#279
Tragic
13.7%
Mexicans
0.0
/100
|
#280
Tragic
13.7%
Yaqui
0.0
/100
|
#281
Tragic
13.7%
Immigrants from Cabo Verde
0.0
/100
|
#282
Tragic
13.7%
Comanche
0.0
/100
|
#283
Tragic
13.8%
Immigrants from Haiti
0.0
/100
|
#284
Tragic
13.8%

Bangladeshi Male Poverty Correlation Summary

MeasurementBangladeshi DataMale Poverty Data
Minimum0.061%3.9%
Maximum57.6%28.8%
Range57.6%24.9%
Mean11.0%13.8%
Median9.4%12.6%
Interquartile 25% (IQ1)4.6%10.6%
Interquartile 75% (IQ3)14.7%17.0%
Interquartile Range (IQR)10.1%6.4%
Standard Deviation (Sample)9.8%5.6%
Standard Deviation (Population)9.7%5.5%

Correlation Details

Bangladeshi PercentileSample SizeMale Poverty
[
0.0%
-
0.5%
]
0.061%
114,849,08612.3%
[
0.0%
-
0.5%
]
0.45%
8,739,27111.0%
[
0.5%
-
1.0%
]
0.80%
3,552,12412.2%
[
1.0%
-
1.5%
]
1.16%
1,841,50412.1%
[
1.0%
-
1.5%
]
1.45%
1,967,83810.9%
[
1.5%
-
2.0%
]
1.75%
2,128,36412.6%
[
2.0%
-
2.5%
]
2.04%
1,196,31116.9%
[
2.0%
-
2.5%
]
2.47%
716,92112.0%
[
2.5%
-
3.0%
]
2.73%
624,9318.8%
[
3.0%
-
3.5%
]
3.13%
471,59011.3%
[
3.0%
-
3.5%
]
3.47%
936,27012.0%
[
3.5%
-
4.0%
]
3.73%
328,09814.7%
[
4.0%
-
4.5%
]
4.10%
538,61411.1%
[
4.0%
-
4.5%
]
4.42%
290,99713.6%
[
4.5%
-
5.0%
]
4.76%
30,7018.8%
[
4.5%
-
5.0%
]
4.98%
761,34816.8%
[
5.0%
-
5.5%
]
5.48%
167,36019.7%
[
5.5%
-
6.0%
]
5.77%
107,73011.7%
[
6.0%
-
6.5%
]
6.12%
174,81019.5%
[
6.0%
-
6.5%
]
6.44%
63,08617.2%
[
6.5%
-
7.0%
]
6.76%
170,69619.8%
[
6.5%
-
7.0%
]
6.99%
50,48414.3%
[
7.0%
-
7.5%
]
7.32%
10,55718.0%
[
7.5%
-
8.0%
]
7.66%
37,98825.0%
[
7.5%
-
8.0%
]
7.92%
42,7359.5%
[
8.0%
-
8.5%
]
8.18%
52,88627.0%
[
8.5%
-
9.0%
]
8.55%
12,6849.9%
[
9.0%
-
9.5%
]
9.03%
148,36916.1%
[
9.0%
-
9.5%
]
9.40%
51,10911.9%
[
9.5%
-
10.0%
]
9.63%
136,08516.0%
[
9.5%
-
10.0%
]
9.96%
134,20511.2%
[
10.0%
-
10.5%
]
10.33%
64,53119.1%
[
10.5%
-
11.0%
]
10.72%
70,82718.5%
[
10.5%
-
11.0%
]
10.85%
31,29211.0%
[
11.0%
-
11.5%
]
11.27%
308,80615.5%
[
11.5%
-
12.0%
]
11.69%
1,2155.3%
[
11.5%
-
12.0%
]
11.89%
32,91210.9%
[
12.5%
-
13.0%
]
12.59%
2,20823.9%
[
12.5%
-
13.0%
]
12.76%
84,9518.8%
[
13.0%
-
13.5%
]
13.26%
2,00610.3%
[
13.0%
-
13.5%
]
13.48%
13,4594.4%
[
13.5%
-
14.0%
]
13.86%
95,31015.0%
[
14.5%
-
15.0%
]
14.53%
2964.3%
[
14.5%
-
15.0%
]
14.91%
9328.3%
[
15.0%
-
15.5%
]
15.04%
13,11621.4%
[
15.0%
-
15.5%
]
15.39%
132,09212.6%
[
15.5%
-
16.0%
]
15.74%
2165.3%
[
16.0%
-
16.5%
]
16.48%
6,79019.8%
[
16.5%
-
17.0%
]
16.66%
34,2208.1%
[
18.0%
-
18.5%
]
18.23%
7,58116.3%
[
18.0%
-
18.5%
]
18.31%
17,7163.9%
[
19.0%
-
19.5%
]
19.23%
2613.3%
[
24.5%
-
25.0%
]
24.55%
1,21816.7%
[
25.5%
-
26.0%
]
25.55%
57,66216.7%
[
26.0%
-
26.5%
]
26.16%
19,61328.8%
[
40.5%
-
41.0%
]
40.74%
73419.6%
[
57.5%
-
58.0%
]
57.62%
2106.2%