Immigrants from Bangladesh Female Poverty Among 25-34 Year Olds

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Immigrants from Bangladesh
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/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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Female Poverty Among 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Immigrants from Bangladesh Female Poverty Among 25-34 Year Olds
Tragic

14.8%
POVERTY | FEMALES 25-34
1.1/ 100
METRIC RATING
244th/ 347
METRIC RANK

Immigrants from Bangladesh Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 202,108,312 people shows a moderate positive correlation between the proportion of Immigrants from Bangladesh and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.446 and weighted average of 14.8%. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.80% in poverty level among females between the ages 25 and 34.
Immigrants from Bangladesh Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Immigrants from Bangladesh and poverty level among females between the ages 25 and 34 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Bangladesh influences an upward or downward trend in the level of poverty level among females between the ages 25 and 34 within an area, or if Immigrants from Bangladesh simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.

Demographics Similar to Immigrants from Bangladesh by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Immigrants from Bangladesh are Immigrants from Nicaragua (14.8%, a difference of 0.010%), Scotch-Irish (14.8%, a difference of 0.040%), Barbadian (14.8%, a difference of 0.040%), Immigrants from Middle Africa (14.8%, a difference of 0.18%), and Jamaican (14.8%, a difference of 0.22%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Immigrants from Ghana
1.4
/100
|
#237
Tragic
14.7%
Alsatians
1.4
/100
|
#238
Tragic
14.7%
Malaysians
1.4
/100
|
#239
Tragic
14.7%
Immigrants from Grenada
1.3
/100
|
#240
Tragic
14.7%
Scotch-Irish
1.2
/100
|
#241
Tragic
14.8%
Barbadians
1.2
/100
|
#242
Tragic
14.8%
Immigrants from Nicaragua
1.1
/100
|
#243
Tragic
14.8%
Immigrants from Bangladesh
1.1
/100
|
#244
Tragic
14.8%
Immigrants from Middle Africa
1.0
/100
|
#245
Tragic
14.8%
Jamaicans
1.0
/100
|
#246
Tragic
14.8%
German Russians
0.8
/100
|
#247
Tragic
14.9%
Immigrants from Western Africa
0.8
/100
|
#248
Tragic
14.9%
Immigrants from Haiti
0.5
/100
|
#249
Tragic
15.0%
Immigrants from El Salvador
0.5
/100
|
#250
Tragic
15.0%
Haitians
0.5
/100
|
#251
Tragic
15.0%

Immigrants from Bangladesh Female Poverty Among 25-34 Year Olds Correlation Summary

MeasurementImmigrants from Bangladesh DataFemale Poverty Among 25-34 Year Olds Data
Minimum0.039%5.7%
Maximum20.9%38.8%
Range20.9%33.0%
Mean4.6%15.8%
Median3.0%12.9%
Interquartile 25% (IQ1)1.5%9.6%
Interquartile 75% (IQ3)6.1%19.2%
Interquartile Range (IQR)4.6%9.6%
Standard Deviation (Sample)4.7%8.3%
Standard Deviation (Population)4.6%8.2%

Correlation Details

Immigrants from Bangladesh PercentileSample SizeFemale Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.039%
107,974,50213.9%
[
0.0%
-
0.5%
]
0.13%
36,291,31513.1%
[
0.0%
-
0.5%
]
0.21%
16,889,95711.8%
[
0.0%
-
0.5%
]
0.30%
9,160,82512.8%
[
0.0%
-
0.5%
]
0.39%
6,238,83811.8%
[
0.0%
-
0.5%
]
0.48%
3,613,73313.7%
[
0.5%
-
1.0%
]
0.57%
2,368,60111.5%
[
0.5%
-
1.0%
]
0.66%
2,763,13018.4%
[
0.5%
-
1.0%
]
0.74%
1,342,19914.7%
[
0.5%
-
1.0%
]
0.83%
855,32011.8%
[
0.5%
-
1.0%
]
0.92%
758,17812.7%
[
1.0%
-
1.5%
]
1.02%
642,36914.0%
[
1.0%
-
1.5%
]
1.09%
311,1659.8%
[
1.0%
-
1.5%
]
1.15%
8,959,48014.8%
[
1.0%
-
1.5%
]
1.28%
277,0699.9%
[
1.0%
-
1.5%
]
1.37%
159,2939.9%
[
1.0%
-
1.5%
]
1.46%
225,1077.4%
[
1.5%
-
2.0%
]
1.52%
112,5928.1%
[
1.5%
-
2.0%
]
1.63%
92,5325.7%
[
1.5%
-
2.0%
]
1.74%
210,1748.7%
[
1.5%
-
2.0%
]
1.78%
379,09323.3%
[
1.5%
-
2.0%
]
1.89%
52,8019.1%
[
1.5%
-
2.0%
]
1.97%
214,78219.3%
[
2.0%
-
2.5%
]
2.06%
77,0616.9%
[
2.0%
-
2.5%
]
2.13%
42,36828.6%
[
2.0%
-
2.5%
]
2.24%
45,95610.7%
[
2.0%
-
2.5%
]
2.36%
59,4327.7%
[
2.0%
-
2.5%
]
2.42%
19,9236.0%
[
2.5%
-
3.0%
]
2.51%
121,44514.1%
[
2.5%
-
3.0%
]
2.61%
25,5239.5%
[
2.5%
-
3.0%
]
2.68%
164,75625.7%
[
2.5%
-
3.0%
]
2.79%
6,0629.9%
[
2.5%
-
3.0%
]
2.85%
2,9858.9%
[
2.5%
-
3.0%
]
2.94%
23,7979.6%
[
3.0%
-
3.5%
]
3.06%
8,34036.9%
[
3.0%
-
3.5%
]
3.10%
46,79419.2%
[
3.0%
-
3.5%
]
3.24%
145,09815.9%
[
3.0%
-
3.5%
]
3.27%
94,81530.7%
[
3.0%
-
3.5%
]
3.40%
90,54814.9%
[
3.5%
-
4.0%
]
3.57%
44,49024.5%
[
3.5%
-
4.0%
]
3.93%
23,47111.1%
[
4.0%
-
4.5%
]
4.00%
67,00112.3%
[
4.0%
-
4.5%
]
4.23%
40,1988.7%
[
4.0%
-
4.5%
]
4.36%
65,28335.1%
[
4.5%
-
5.0%
]
4.51%
27,8486.1%
[
4.5%
-
5.0%
]
4.60%
12,12911.8%
[
4.5%
-
5.0%
]
4.96%
126,90716.2%
[
5.0%
-
5.5%
]
5.32%
73,31813.2%
[
5.5%
-
6.0%
]
5.61%
97,66812.2%
[
5.5%
-
6.0%
]
5.64%
127,8059.7%
[
5.5%
-
6.0%
]
5.90%
3,49018.5%
[
6.0%
-
6.5%
]
6.21%
5,92332.9%
[
6.0%
-
6.5%
]
6.28%
26,9398.7%
[
6.5%
-
7.0%
]
6.93%
30,06323.5%
[
7.5%
-
8.0%
]
7.51%
28,32724.6%
[
7.5%
-
8.0%
]
7.60%
4,1469.1%
[
7.5%
-
8.0%
]
7.70%
52,16020.4%
[
7.5%
-
8.0%
]
7.77%
29,9216.3%
[
7.5%
-
8.0%
]
7.88%
77,23021.3%
[
8.0%
-
8.5%
]
8.22%
59,96118.4%
[
9.0%
-
9.5%
]
9.20%
31,20012.4%
[
10.5%
-
11.0%
]
10.61%
3,00618.9%
[
11.0%
-
11.5%
]
11.26%
27,7949.3%
[
15.5%
-
16.0%
]
15.95%
17,32828.8%
[
16.0%
-
16.5%
]
16.49%
1,42538.8%
[
17.5%
-
18.0%
]
17.59%
27,84228.9%
[
18.5%
-
19.0%
]
18.74%
64,26814.9%
[
20.5%
-
21.0%
]
20.93%
43,21333.5%