Aleut Female Poverty

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Aleut
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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Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/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
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Aleut Female Poverty
Average

13.4%
POVERTY | FEMALES
56.7/ 100
METRIC RATING
168th/ 347
METRIC RANK

Aleut Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 61,771,544 people shows a weak positive correlation between the proportion of Aleuts and poverty level among females in the United States with a correlation coefficient (R) of 0.288 and weighted average of 13.4%. On average, for every 1% (one percent) increase in Aleuts within a typical geography, there is an increase of 0.11% in poverty level among females.
Aleut Female Poverty
It is essential to understand that the correlation between the percentage of Aleuts and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Aleuts influences an upward or downward trend in the level of poverty level among females within an area, or if Aleuts simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Aleuts by Female Poverty

In terms of female poverty, the demographic groups most similar to Aleuts are Immigrants from Chile (13.3%, a difference of 0.060%), Lebanese (13.4%, a difference of 0.080%), Colombian (13.4%, a difference of 0.10%), White/Caucasian (13.4%, a difference of 0.21%), and Immigrants from Oceania (13.3%, a difference of 0.30%).
DemographicsRating | RankFemale Poverty
Immigrants from Ethiopia
62.5
/100
|
#161
Good
13.3%
Guamanians/Chamorros
62.4
/100
|
#162
Good
13.3%
Immigrants from Albania
62.4
/100
|
#163
Good
13.3%
Ethiopians
62.3
/100
|
#164
Good
13.3%
Scotch-Irish
62.1
/100
|
#165
Good
13.3%
Immigrants from Oceania
59.7
/100
|
#166
Average
13.3%
Immigrants from Chile
57.4
/100
|
#167
Average
13.3%
Aleuts
56.7
/100
|
#168
Average
13.4%
Lebanese
55.9
/100
|
#169
Average
13.4%
Colombians
55.7
/100
|
#170
Average
13.4%
Whites/Caucasians
54.6
/100
|
#171
Average
13.4%
Mongolians
53.6
/100
|
#172
Average
13.4%
Immigrants from Afghanistan
50.8
/100
|
#173
Average
13.4%
Immigrants from Iraq
50.0
/100
|
#174
Average
13.4%
Celtics
49.9
/100
|
#175
Average
13.4%

Aleut Female Poverty Correlation Summary

MeasurementAleut DataFemale Poverty Data
Minimum0.022%1.3%
Maximum96.4%50.0%
Range96.4%48.7%
Mean34.6%16.9%
Median19.3%12.0%
Interquartile 25% (IQ1)6.4%8.8%
Interquartile 75% (IQ3)69.7%20.1%
Interquartile Range (IQR)63.3%11.3%
Standard Deviation (Sample)31.9%12.3%
Standard Deviation (Population)31.5%12.2%

Correlation Details

Aleut PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.022%
60,514,89515.5%
[
0.5%
-
1.0%
]
0.74%
356,24412.4%
[
1.0%
-
1.5%
]
1.22%
191,60611.8%
[
1.5%
-
2.0%
]
1.80%
473,48911.4%
[
2.0%
-
2.5%
]
2.12%
88,69111.1%
[
2.5%
-
3.0%
]
2.72%
48,90610.7%
[
3.0%
-
3.5%
]
3.27%
15,54711.7%
[
3.5%
-
4.0%
]
3.68%
19,09311.7%
[
4.0%
-
4.5%
]
4.44%
458.8%
[
4.5%
-
5.0%
]
4.59%
15,23514.4%
[
5.5%
-
6.0%
]
5.66%
2,87916.6%
[
6.0%
-
6.5%
]
6.17%
3,5807.0%
[
6.5%
-
7.0%
]
6.67%
9050.0%
[
7.0%
-
7.5%
]
7.17%
96331.2%
[
7.5%
-
8.0%
]
7.61%
10,3519.3%
[
8.5%
-
9.0%
]
8.98%
4015.1%
[
9.0%
-
9.5%
]
9.38%
12,6189.2%
[
10.0%
-
10.5%
]
10.43%
1,82215.7%
[
10.5%
-
11.0%
]
10.62%
22611.6%
[
11.0%
-
11.5%
]
11.00%
2097.5%
[
13.5%
-
14.0%
]
13.51%
3747.4%
[
14.0%
-
14.5%
]
14.35%
2307.8%
[
15.0%
-
15.5%
]
15.32%
49628.0%
[
18.0%
-
18.5%
]
18.16%
4,6808.4%
[
19.0%
-
19.5%
]
19.32%
3831.7%
[
21.0%
-
21.5%
]
21.05%
83610.3%
[
29.5%
-
30.0%
]
29.65%
4521.3%
[
30.5%
-
31.0%
]
30.80%
2376.6%
[
34.0%
-
34.5%
]
34.47%
23517.6%
[
35.0%
-
35.5%
]
35.19%
10820.7%
[
43.5%
-
44.0%
]
43.70%
2,0967.5%
[
47.0%
-
47.5%
]
47.17%
10611.1%
[
52.5%
-
53.0%
]
52.71%
2,21614.9%
[
56.0%
-
56.5%
]
56.41%
788.0%
[
57.0%
-
57.5%
]
57.45%
9422.2%
[
62.5%
-
63.0%
]
62.58%
31038.6%
[
68.5%
-
69.0%
]
68.70%
11519.4%
[
70.5%
-
71.0%
]
70.69%
5812.0%
[
71.0%
-
71.5%
]
71.43%
12635.5%
[
71.5%
-
72.0%
]
71.58%
9512.5%
[
75.5%
-
76.0%
]
75.56%
9013.0%
[
79.0%
-
79.5%
]
79.08%
69815.2%
[
80.0%
-
80.5%
]
80.23%
1728.8%
[
80.5%
-
81.0%
]
80.56%
14435.7%
[
81.0%
-
81.5%
]
81.18%
17046.0%
[
83.5%
-
84.0%
]
83.80%
14244.4%
[
85.0%
-
85.5%
]
85.00%
808.3%
[
91.0%
-
91.5%
]
91.23%
11430.0%
[
96.0%
-
96.5%
]
96.43%
5614.3%