Pakistani Female Poverty

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Pakistani
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
Immigration
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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 EuropeanNorwegianOkinawanOsageOttawaPaiutePalestinianPanamanianParaguayanPennsylvania 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

Pakistani Female Poverty
Excellent

12.9%
POVERTY | FEMALES
83.0/ 100
METRIC RATING
140th/ 347
METRIC RANK

Pakistani Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 335,177,271 people shows a weak positive correlation between the proportion of Pakistanis and poverty level among females in the United States with a correlation coefficient (R) of 0.231 and weighted average of 12.9%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.53% in poverty level among females.
Pakistani Female Poverty
It is essential to understand that the correlation between the percentage of Pakistanis and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Pakistanis influences an upward or downward trend in the level of poverty level among females within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Pakistanis by Female Poverty

In terms of female poverty, the demographic groups most similar to Pakistanis are Basque (12.9%, a difference of 0.010%), Immigrants from France (12.9%, a difference of 0.10%), Chilean (12.9%, a difference of 0.32%), Icelander (13.0%, a difference of 0.32%), and Peruvian (12.9%, a difference of 0.41%).
DemographicsRating | RankFemale Poverty
Immigrants from Western Europe
86.6
/100
|
#133
Excellent
12.8%
Immigrants from Switzerland
85.8
/100
|
#134
Excellent
12.9%
French
85.6
/100
|
#135
Excellent
12.9%
Peruvians
85.2
/100
|
#136
Excellent
12.9%
Chileans
84.7
/100
|
#137
Excellent
12.9%
Immigrants from France
83.6
/100
|
#138
Excellent
12.9%
Basques
83.1
/100
|
#139
Excellent
12.9%
Pakistanis
83.0
/100
|
#140
Excellent
12.9%
Icelanders
81.1
/100
|
#141
Excellent
13.0%
Brazilians
80.5
/100
|
#142
Excellent
13.0%
Immigrants from Malaysia
80.4
/100
|
#143
Excellent
13.0%
Afghans
79.8
/100
|
#144
Good
13.0%
Syrians
79.6
/100
|
#145
Good
13.0%
Immigrants from Peru
79.1
/100
|
#146
Good
13.0%
Immigrants from Kazakhstan
78.6
/100
|
#147
Good
13.0%

Pakistani Female Poverty Correlation Summary

MeasurementPakistani DataFemale Poverty Data
Minimum0.034%0.74%
Maximum15.9%44.1%
Range15.8%43.3%
Mean3.6%14.0%
Median2.8%12.7%
Interquartile 25% (IQ1)1.4%10.3%
Interquartile 75% (IQ3)4.6%15.9%
Interquartile Range (IQR)3.2%5.6%
Standard Deviation (Sample)3.0%6.8%
Standard Deviation (Population)3.0%6.7%

Correlation Details

Pakistani PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.034%
90,052,42615.0%
[
0.0%
-
0.5%
]
0.091%
93,770,71515.0%
[
0.0%
-
0.5%
]
0.15%
47,631,56612.8%
[
0.0%
-
0.5%
]
0.21%
33,669,63511.7%
[
0.0%
-
0.5%
]
0.28%
18,756,00912.2%
[
0.0%
-
0.5%
]
0.34%
16,633,26114.5%
[
0.0%
-
0.5%
]
0.40%
8,477,20711.8%
[
0.0%
-
0.5%
]
0.46%
6,992,93511.9%
[
0.5%
-
1.0%
]
0.52%
4,133,06811.6%
[
0.5%
-
1.0%
]
0.59%
3,080,27212.6%
[
0.5%
-
1.0%
]
0.65%
2,238,15210.4%
[
0.5%
-
1.0%
]
0.72%
1,920,78911.3%
[
0.5%
-
1.0%
]
0.77%
1,317,31311.5%
[
0.5%
-
1.0%
]
0.83%
1,147,15713.3%
[
0.5%
-
1.0%
]
0.90%
861,90914.2%
[
0.5%
-
1.0%
]
0.95%
749,37511.5%
[
1.0%
-
1.5%
]
1.02%
423,63210.2%
[
1.0%
-
1.5%
]
1.08%
293,6329.1%
[
1.0%
-
1.5%
]
1.14%
231,00912.8%
[
1.0%
-
1.5%
]
1.21%
305,69414.1%
[
1.0%
-
1.5%
]
1.26%
261,62712.2%
[
1.0%
-
1.5%
]
1.32%
235,79313.2%
[
1.0%
-
1.5%
]
1.39%
284,2499.8%
[
1.0%
-
1.5%
]
1.46%
187,11410.4%
[
1.5%
-
2.0%
]
1.51%
260,74715.5%
[
1.5%
-
2.0%
]
1.57%
136,96211.8%
[
1.5%
-
2.0%
]
1.64%
145,85010.3%
[
1.5%
-
2.0%
]
1.70%
151,93312.5%
[
1.5%
-
2.0%
]
1.78%
188,86914.3%
[
1.5%
-
2.0%
]
1.83%
73,5429.4%
[
1.5%
-
2.0%
]
1.89%
54,7296.3%
[
1.5%
-
2.0%
]
1.96%
52,19622.4%
[
2.0%
-
2.5%
]
2.01%
53,39316.6%
[
2.0%
-
2.5%
]
2.08%
17,41012.5%
[
2.0%
-
2.5%
]
2.13%
66,16815.0%
[
2.0%
-
2.5%
]
2.21%
24,7078.1%
[
2.0%
-
2.5%
]
2.27%
25,9538.5%
[
2.0%
-
2.5%
]
2.32%
7348.6%
[
2.0%
-
2.5%
]
2.39%
14,27411.8%
[
2.0%
-
2.5%
]
2.45%
10,37822.5%
[
2.5%
-
3.0%
]
2.50%
9,1086.3%
[
2.5%
-
3.0%
]
2.56%
15,14010.9%
[
2.5%
-
3.0%
]
2.64%
6,35910.9%
[
2.5%
-
3.0%
]
2.70%
5,76816.1%
[
2.5%
-
3.0%
]
2.74%
58,03111.0%
[
2.5%
-
3.0%
]
2.80%
78619.6%
[
2.5%
-
3.0%
]
2.88%
11,45717.3%
[
2.5%
-
3.0%
]
2.95%
74611.6%
[
3.0%
-
3.5%
]
3.00%
3,8289.5%
[
3.0%
-
3.5%
]
3.07%
17,80618.8%
[
3.0%
-
3.5%
]
3.13%
15,81618.1%
[
3.0%
-
3.5%
]
3.18%
3,11310.3%
[
3.0%
-
3.5%
]
3.33%
2,76212.7%
[
3.0%
-
3.5%
]
3.43%
4,08515.2%
[
3.5%
-
4.0%
]
3.51%
1,4528.6%
[
3.5%
-
4.0%
]
3.59%
3,37313.7%
[
3.5%
-
4.0%
]
3.65%
63015.3%
[
3.5%
-
4.0%
]
3.69%
1,00218.7%
[
3.5%
-
4.0%
]
3.75%
58715.7%
[
3.5%
-
4.0%
]
3.80%
15,20015.7%
[
3.5%
-
4.0%
]
3.87%
1,03310.0%
[
3.5%
-
4.0%
]
3.91%
16,27731.0%
[
4.0%
-
4.5%
]
4.14%
1,1124.0%
[
4.0%
-
4.5%
]
4.25%
9,75622.3%
[
4.0%
-
4.5%
]
4.31%
4,50314.0%
[
4.0%
-
4.5%
]
4.37%
7,75711.3%
[
4.0%
-
4.5%
]
4.44%
54017.7%
[
4.5%
-
5.0%
]
4.55%
2,24310.3%
[
4.5%
-
5.0%
]
4.62%
39016.1%
[
4.5%
-
5.0%
]
4.67%
66419.1%
[
4.5%
-
5.0%
]
4.91%
4686.0%
[
5.0%
-
5.5%
]
5.03%
3,1206.7%
[
5.0%
-
5.5%
]
5.18%
1,23514.5%
[
5.0%
-
5.5%
]
5.39%
1,5777.5%
[
5.5%
-
6.0%
]
5.80%
4,18712.7%
[
6.0%
-
6.5%
]
6.09%
19716.2%
[
6.0%
-
6.5%
]
6.24%
1,2179.6%
[
6.0%
-
6.5%
]
6.33%
1586.0%
[
6.0%
-
6.5%
]
6.40%
25043.4%
[
6.5%
-
7.0%
]
6.87%
26244.1%
[
7.0%
-
7.5%
]
7.27%
1,08618.3%
[
7.0%
-
7.5%
]
7.33%
2,64715.5%
[
7.5%
-
8.0%
]
7.81%
1,26827.6%
[
8.0%
-
8.5%
]
8.22%
737.1%
[
8.0%
-
8.5%
]
8.28%
48316.4%
[
8.5%
-
9.0%
]
8.58%
5360.74%
[
9.0%
-
9.5%
]
9.35%
2,33212.4%
[
9.0%
-
9.5%
]
9.38%
9617.1%
[
9.5%
-
10.0%
]
9.76%
1,47514.4%
[
9.5%
-
10.0%
]
9.84%
18333.3%
[
12.5%
-
13.0%
]
12.87%
40418.6%
[
15.5%
-
16.0%
]
15.86%
30911.7%