Pakistani Child Poverty Among Girls Under 16

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Child Poverty Among Girls Under 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Pakistani Child Poverty Among Girls Under 16
Exceptional

15.3%
POVERTY | GIRLS < 16
92.3/ 100
METRIC RATING
120th/ 347
METRIC RANK

Pakistani Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 331,174,379 people shows a significant positive correlation between the proportion of Pakistanis and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.683 and weighted average of 15.3%. 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 girls under the age of 16.
Pakistani Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Pakistanis and poverty level among girls 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 girls 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 girls under the age of 16 due to other factors.

Demographics Similar to Pakistanis by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Pakistanis are English (15.3%, a difference of 0.020%), Immigrants from Zimbabwe (15.3%, a difference of 0.090%), Immigrants from Southern Europe (15.3%, a difference of 0.20%), Portuguese (15.3%, a difference of 0.21%), and Irish (15.3%, a difference of 0.31%).
DemographicsRating | RankChild Poverty Among Girls Under 16
Dutch
94.3
/100
|
#113
Exceptional
15.1%
Sri Lankans
94.0
/100
|
#114
Exceptional
15.2%
Belgians
93.9
/100
|
#115
Exceptional
15.2%
Immigrants from Denmark
93.3
/100
|
#116
Exceptional
15.2%
Immigrants from North Macedonia
93.1
/100
|
#117
Exceptional
15.2%
Immigrants from Southern Europe
92.7
/100
|
#118
Exceptional
15.3%
Immigrants from Zimbabwe
92.5
/100
|
#119
Exceptional
15.3%
Pakistanis
92.3
/100
|
#120
Exceptional
15.3%
English
92.2
/100
|
#121
Exceptional
15.3%
Portuguese
91.8
/100
|
#122
Exceptional
15.3%
Irish
91.5
/100
|
#123
Exceptional
15.3%
Carpatho Rusyns
91.4
/100
|
#124
Exceptional
15.3%
Peruvians
91.2
/100
|
#125
Exceptional
15.4%
Scottish
91.0
/100
|
#126
Exceptional
15.4%
Immigrants from Norway
90.8
/100
|
#127
Exceptional
15.4%

Pakistani Child Poverty Among Girls Under 16 Correlation Summary

MeasurementPakistani DataChild Poverty Among Girls Under 16 Data
Minimum0.034%2.5%
Maximum12.9%100.0%
Range12.8%97.5%
Mean3.1%23.5%
Median2.4%16.7%
Interquartile 25% (IQ1)1.2%13.2%
Interquartile 75% (IQ3)3.9%27.3%
Interquartile Range (IQR)2.7%14.1%
Standard Deviation (Sample)2.6%20.1%
Standard Deviation (Population)2.6%20.0%

Correlation Details

Pakistani PercentileSample SizeChild Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.034%
89,598,75218.4%
[
0.0%
-
0.5%
]
0.091%
92,985,37518.5%
[
0.0%
-
0.5%
]
0.15%
47,201,36415.3%
[
0.0%
-
0.5%
]
0.21%
33,338,15913.1%
[
0.0%
-
0.5%
]
0.28%
18,497,07514.0%
[
0.0%
-
0.5%
]
0.34%
16,323,64716.6%
[
0.0%
-
0.5%
]
0.40%
8,302,21113.4%
[
0.0%
-
0.5%
]
0.46%
6,757,01413.2%
[
0.5%
-
1.0%
]
0.52%
3,959,30113.4%
[
0.5%
-
1.0%
]
0.59%
2,975,71014.1%
[
0.5%
-
1.0%
]
0.65%
2,098,35911.4%
[
0.5%
-
1.0%
]
0.72%
1,803,49014.4%
[
0.5%
-
1.0%
]
0.77%
1,247,43312.9%
[
0.5%
-
1.0%
]
0.83%
1,097,24415.3%
[
0.5%
-
1.0%
]
0.90%
826,31616.7%
[
0.5%
-
1.0%
]
0.95%
704,92215.0%
[
1.0%
-
1.5%
]
1.02%
364,45411.8%
[
1.0%
-
1.5%
]
1.08%
248,38210.7%
[
1.0%
-
1.5%
]
1.14%
226,23216.1%
[
1.0%
-
1.5%
]
1.20%
285,40516.1%
[
1.0%
-
1.5%
]
1.26%
252,30814.7%
[
1.0%
-
1.5%
]
1.32%
226,98315.9%
[
1.0%
-
1.5%
]
1.39%
276,15111.7%
[
1.0%
-
1.5%
]
1.46%
164,72211.4%
[
1.5%
-
2.0%
]
1.51%
256,59122.0%
[
1.5%
-
2.0%
]
1.57%
128,00313.5%
[
1.5%
-
2.0%
]
1.64%
140,63113.5%
[
1.5%
-
2.0%
]
1.70%
151,69915.6%
[
1.5%
-
2.0%
]
1.78%
185,94317.4%
[
1.5%
-
2.0%
]
1.84%
64,67010.8%
[
1.5%
-
2.0%
]
1.89%
47,88810.4%
[
1.5%
-
2.0%
]
1.96%
50,19028.0%
[
2.0%
-
2.5%
]
2.01%
41,73517.0%
[
2.0%
-
2.5%
]
2.08%
13,42717.4%
[
2.0%
-
2.5%
]
2.13%
55,27523.0%
[
2.0%
-
2.5%
]
2.21%
24,7074.3%
[
2.0%
-
2.5%
]
2.27%
21,8389.8%
[
2.0%
-
2.5%
]
2.32%
7347.0%
[
2.0%
-
2.5%
]
2.39%
9,1516.3%
[
2.0%
-
2.5%
]
2.44%
8,71937.6%
[
2.5%
-
3.0%
]
2.50%
9,1088.5%
[
2.5%
-
3.0%
]
2.56%
7,62533.7%
[
2.5%
-
3.0%
]
2.64%
6,35918.2%
[
2.5%
-
3.0%
]
2.71%
3,46921.4%
[
2.5%
-
3.0%
]
2.74%
54,69614.0%
[
2.5%
-
3.0%
]
2.88%
11,45723.8%
[
3.0%
-
3.5%
]
3.01%
3,1947.2%
[
3.0%
-
3.5%
]
3.07%
17,67534.2%
[
3.0%
-
3.5%
]
3.13%
15,81627.3%
[
3.0%
-
3.5%
]
3.19%
1,7238.7%
[
3.0%
-
3.5%
]
3.34%
44933.3%
[
3.0%
-
3.5%
]
3.43%
3,91018.5%
[
3.5%
-
4.0%
]
3.51%
1,45227.7%
[
3.5%
-
4.0%
]
3.59%
3,37324.6%
[
3.5%
-
4.0%
]
3.65%
63025.9%
[
3.5%
-
4.0%
]
3.69%
1,00240.4%
[
3.5%
-
4.0%
]
3.75%
58711.6%
[
3.5%
-
4.0%
]
3.80%
15,20022.8%
[
3.5%
-
4.0%
]
3.88%
41239.7%
[
3.5%
-
4.0%
]
3.91%
16,27723.2%
[
4.0%
-
4.5%
]
4.26%
8,10329.0%
[
4.0%
-
4.5%
]
4.31%
1,04529.2%
[
4.0%
-
4.5%
]
4.37%
7,75716.4%
[
4.0%
-
4.5%
]
4.44%
54019.2%
[
4.5%
-
5.0%
]
4.55%
2,24319.2%
[
4.5%
-
5.0%
]
4.62%
39035.0%
[
4.5%
-
5.0%
]
4.67%
66421.8%
[
5.0%
-
5.5%
]
5.07%
49366.7%
[
5.0%
-
5.5%
]
5.18%
1,23544.6%
[
5.0%
-
5.5%
]
5.39%
1,5772.5%
[
5.5%
-
6.0%
]
5.80%
4,18719.8%
[
6.5%
-
7.0%
]
6.87%
262100.0%
[
7.0%
-
7.5%
]
7.27%
1,08653.3%
[
7.0%
-
7.5%
]
7.33%
2,64728.9%
[
9.0%
-
9.5%
]
9.35%
2,33213.4%
[
9.5%
-
10.0%
]
9.76%
1,47511.4%
[
9.5%
-
10.0%
]
9.84%
183100.0%
[
11.5%
-
12.0%
]
11.57%
1,13285.0%
[
12.5%
-
13.0%
]
12.87%
404100.0%