Pakistani Child Poverty Under the Age of 16

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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 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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Child Poverty Under the Age of 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Pakistani Child Poverty Under the Age of 16
Exceptional

15.0%
POVERTY | CHILDREN < 16
91.7/ 100
METRIC RATING
122nd/ 347
METRIC RANK

Pakistani Child Poverty Under the Age of 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 333,364,420 people shows a strong positive correlation between the proportion of Pakistanis and poverty level among children under the age of 16 in the United States with a correlation coefficient (R) of 0.716 and weighted average of 15.0%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 5.2% in poverty level among children under the age of 16.
Pakistani Child Poverty Under the Age of 16
It is essential to understand that the correlation between the percentage of Pakistanis and poverty level among children under the age of 16 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 children under the age of 16 within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of poverty level among children under the age of 16 due to other factors.

Demographics Similar to Pakistanis by Child Poverty Under the Age of 16

In terms of child poverty under the age of 16, the demographic groups most similar to Pakistanis are South African (15.0%, a difference of 0.20%), Immigrants from Zimbabwe (15.0%, a difference of 0.20%), Immigrants from Brazil (15.1%, a difference of 0.24%), Czechoslovakian (15.1%, a difference of 0.25%), and Scottish (15.0%, a difference of 0.29%).
DemographicsRating | RankChild Poverty Under the Age of 16
Immigrants from Ukraine
93.1
/100
|
#115
Exceptional
14.9%
Carpatho Rusyns
93.1
/100
|
#116
Exceptional
14.9%
Immigrants from Norway
92.8
/100
|
#117
Exceptional
15.0%
Immigrants from Malaysia
92.6
/100
|
#118
Exceptional
15.0%
Scottish
92.3
/100
|
#119
Exceptional
15.0%
South Africans
92.1
/100
|
#120
Exceptional
15.0%
Immigrants from Zimbabwe
92.1
/100
|
#121
Exceptional
15.0%
Pakistanis
91.7
/100
|
#122
Exceptional
15.0%
Immigrants from Brazil
91.1
/100
|
#123
Exceptional
15.1%
Czechoslovakians
91.0
/100
|
#124
Exceptional
15.1%
Palestinians
90.9
/100
|
#125
Exceptional
15.1%
Portuguese
90.6
/100
|
#126
Exceptional
15.1%
Immigrants from Western Europe
90.3
/100
|
#127
Exceptional
15.1%
Immigrants from Kazakhstan
90.2
/100
|
#128
Exceptional
15.1%
Immigrants from Southern Europe
89.7
/100
|
#129
Excellent
15.1%

Pakistani Child Poverty Under the Age of 16 Correlation Summary

MeasurementPakistani DataChild Poverty Under the Age of 16 Data
Minimum0.034%4.3%
Maximum12.9%100.0%
Range12.8%95.7%
Mean3.1%22.3%
Median2.5%15.8%
Interquartile 25% (IQ1)1.2%12.9%
Interquartile 75% (IQ3)3.9%24.0%
Interquartile Range (IQR)2.7%11.1%
Standard Deviation (Sample)2.6%18.9%
Standard Deviation (Population)2.6%18.8%

Correlation Details

Pakistani PercentileSample SizeChild Poverty Under the Age of 16
[
0.0%
-
0.5%
]
0.034%
89,897,61118.3%
[
0.0%
-
0.5%
]
0.091%
93,415,49818.4%
[
0.0%
-
0.5%
]
0.15%
47,505,74515.2%
[
0.0%
-
0.5%
]
0.21%
33,498,52313.0%
[
0.0%
-
0.5%
]
0.28%
18,629,02113.9%
[
0.0%
-
0.5%
]
0.34%
16,517,64716.4%
[
0.0%
-
0.5%
]
0.40%
8,378,36413.1%
[
0.0%
-
0.5%
]
0.46%
6,859,25213.2%
[
0.5%
-
1.0%
]
0.52%
4,057,80812.9%
[
0.5%
-
1.0%
]
0.59%
3,025,53613.8%
[
0.5%
-
1.0%
]
0.65%
2,214,36711.0%
[
0.5%
-
1.0%
]
0.72%
1,889,72513.4%
[
0.5%
-
1.0%
]
0.77%
1,274,04412.9%
[
0.5%
-
1.0%
]
0.83%
1,107,74414.6%
[
0.5%
-
1.0%
]
0.90%
836,91016.6%
[
0.5%
-
1.0%
]
0.95%
704,92214.3%
[
1.0%
-
1.5%
]
1.02%
373,52012.4%
[
1.0%
-
1.5%
]
1.08%
267,07610.2%
[
1.0%
-
1.5%
]
1.14%
230,21114.9%
[
1.0%
-
1.5%
]
1.20%
287,85116.3%
[
1.0%
-
1.5%
]
1.26%
252,54914.7%
[
1.0%
-
1.5%
]
1.32%
227,36215.8%
[
1.0%
-
1.5%
]
1.39%
283,66510.6%
[
1.0%
-
1.5%
]
1.46%
179,16810.3%
[
1.5%
-
2.0%
]
1.51%
258,21721.0%
[
1.5%
-
2.0%
]
1.57%
134,95512.7%
[
1.5%
-
2.0%
]
1.64%
142,83913.3%
[
1.5%
-
2.0%
]
1.70%
151,69915.2%
[
1.5%
-
2.0%
]
1.78%
185,94316.0%
[
1.5%
-
2.0%
]
1.84%
64,6708.1%
[
1.5%
-
2.0%
]
1.89%
47,8889.4%
[
1.5%
-
2.0%
]
1.96%
52,19625.9%
[
2.0%
-
2.5%
]
2.01%
45,29015.1%
[
2.0%
-
2.5%
]
2.08%
17,41017.2%
[
2.0%
-
2.5%
]
2.13%
55,27522.1%
[
2.0%
-
2.5%
]
2.21%
24,7075.5%
[
2.0%
-
2.5%
]
2.27%
23,13712.4%
[
2.0%
-
2.5%
]
2.32%
7344.3%
[
2.0%
-
2.5%
]
2.39%
14,27410.6%
[
2.0%
-
2.5%
]
2.44%
8,71934.1%
[
2.5%
-
3.0%
]
2.50%
9,1086.8%
[
2.5%
-
3.0%
]
2.56%
7,62521.3%
[
2.5%
-
3.0%
]
2.64%
6,35918.0%
[
2.5%
-
3.0%
]
2.70%
4,66315.8%
[
2.5%
-
3.0%
]
2.74%
58,03110.5%
[
2.5%
-
3.0%
]
2.79%
50221.1%
[
2.5%
-
3.0%
]
2.88%
11,45715.2%
[
3.0%
-
3.5%
]
3.01%
3,1946.6%
[
3.0%
-
3.5%
]
3.07%
17,67525.2%
[
3.0%
-
3.5%
]
3.13%
15,81621.5%
[
3.0%
-
3.5%
]
3.18%
3,1139.5%
[
3.0%
-
3.5%
]
3.34%
74939.9%
[
3.0%
-
3.5%
]
3.43%
3,91015.6%
[
3.5%
-
4.0%
]
3.51%
1,45239.1%
[
3.5%
-
4.0%
]
3.59%
3,37327.5%
[
3.5%
-
4.0%
]
3.65%
63017.3%
[
3.5%
-
4.0%
]
3.69%
1,00238.7%
[
3.5%
-
4.0%
]
3.75%
5877.6%
[
3.5%
-
4.0%
]
3.80%
15,20016.9%
[
3.5%
-
4.0%
]
3.88%
41227.9%
[
3.5%
-
4.0%
]
3.91%
16,27731.4%
[
4.0%
-
4.5%
]
4.26%
8,10329.1%
[
4.0%
-
4.5%
]
4.31%
4,5038.4%
[
4.0%
-
4.5%
]
4.37%
7,75715.9%
[
4.0%
-
4.5%
]
4.44%
54030.3%
[
4.5%
-
5.0%
]
4.55%
2,24325.7%
[
4.5%
-
5.0%
]
4.62%
39023.4%
[
4.5%
-
5.0%
]
4.67%
66423.7%
[
5.0%
-
5.5%
]
5.07%
49370.8%
[
5.0%
-
5.5%
]
5.18%
1,23551.9%
[
5.0%
-
5.5%
]
5.39%
1,5775.2%
[
5.5%
-
6.0%
]
5.80%
4,18714.2%
[
6.5%
-
7.0%
]
6.87%
26275.0%
[
7.0%
-
7.5%
]
7.27%
1,08655.6%
[
7.0%
-
7.5%
]
7.33%
2,64724.3%
[
9.0%
-
9.5%
]
9.35%
2,33218.5%
[
9.5%
-
10.0%
]
9.76%
1,47523.1%
[
9.5%
-
10.0%
]
9.84%
18391.7%
[
11.5%
-
12.0%
]
11.57%
1,13284.2%
[
12.5%
-
13.0%
]
12.87%
404100.0%