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

Measurement Pakistani Data Child Poverty Among Girls Under 16 Data
Minimum 0.034% 2.5%
Maximum 12.9% 100.0%
Range 12.8% 97.5%
Mean 3.1% 23.5%
Median 2.4% 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 Percentile Sample Size Child Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.034%
89,598,752 18.4%
[
0.0%
-
0.5%
]
0.091%
92,985,375 18.5%
[
0.0%
-
0.5%
]
0.15%
47,201,364 15.3%
[
0.0%
-
0.5%
]
0.21%
33,338,159 13.1%
[
0.0%
-
0.5%
]
0.28%
18,497,075 14.0%
[
0.0%
-
0.5%
]
0.34%
16,323,647 16.6%
[
0.0%
-
0.5%
]
0.40%
8,302,211 13.4%
[
0.0%
-
0.5%
]
0.46%
6,757,014 13.2%
[
0.5%
-
1.0%
]
0.52%
3,959,301 13.4%
[
0.5%
-
1.0%
]
0.59%
2,975,710 14.1%
[
0.5%
-
1.0%
]
0.65%
2,098,359 11.4%
[
0.5%
-
1.0%
]
0.72%
1,803,490 14.4%
[
0.5%
-
1.0%
]
0.77%
1,247,433 12.9%
[
0.5%
-
1.0%
]
0.83%
1,097,244 15.3%
[
0.5%
-
1.0%
]
0.90%
826,316 16.7%
[
0.5%
-
1.0%
]
0.95%
704,922 15.0%
[
1.0%
-
1.5%
]
1.02%
364,454 11.8%
[
1.0%
-
1.5%
]
1.08%
248,382 10.7%
[
1.0%
-
1.5%
]
1.14%
226,232 16.1%
[
1.0%
-
1.5%
]
1.20%
285,405 16.1%
[
1.0%
-
1.5%
]
1.26%
252,308 14.7%
[
1.0%
-
1.5%
]
1.32%
226,983 15.9%
[
1.0%
-
1.5%
]
1.39%
276,151 11.7%
[
1.0%
-
1.5%
]
1.46%
164,722 11.4%
[
1.5%
-
2.0%
]
1.51%
256,591 22.0%
[
1.5%
-
2.0%
]
1.57%
128,003 13.5%
[
1.5%
-
2.0%
]
1.64%
140,631 13.5%
[
1.5%
-
2.0%
]
1.70%
151,699 15.6%
[
1.5%
-
2.0%
]
1.78%
185,943 17.4%
[
1.5%
-
2.0%
]
1.84%
64,670 10.8%
[
1.5%
-
2.0%
]
1.89%
47,888 10.4%
[
1.5%
-
2.0%
]
1.96%
50,190 28.0%
[
2.0%
-
2.5%
]
2.01%
41,735 17.0%
[
2.0%
-
2.5%
]
2.08%
13,427 17.4%
[
2.0%
-
2.5%
]
2.13%
55,275 23.0%
[
2.0%
-
2.5%
]
2.21%
24,707 4.3%
[
2.0%
-
2.5%
]
2.27%
21,838 9.8%
[
2.0%
-
2.5%
]
2.32%
734 7.0%
[
2.0%
-
2.5%
]
2.39%
9,151 6.3%
[
2.0%
-
2.5%
]
2.44%
8,719 37.6%
[
2.5%
-
3.0%
]
2.50%
9,108 8.5%
[
2.5%
-
3.0%
]
2.56%
7,625 33.7%
[
2.5%
-
3.0%
]
2.64%
6,359 18.2%
[
2.5%
-
3.0%
]
2.71%
3,469 21.4%
[
2.5%
-
3.0%
]
2.74%
54,696 14.0%
[
2.5%
-
3.0%
]
2.88%
11,457 23.8%
[
3.0%
-
3.5%
]
3.01%
3,194 7.2%
[
3.0%
-
3.5%
]
3.07%
17,675 34.2%
[
3.0%
-
3.5%
]
3.13%
15,816 27.3%
[
3.0%
-
3.5%
]
3.19%
1,723 8.7%
[
3.0%
-
3.5%
]
3.34%
449 33.3%
[
3.0%
-
3.5%
]
3.43%
3,910 18.5%
[
3.5%
-
4.0%
]
3.51%
1,452 27.7%
[
3.5%
-
4.0%
]
3.59%
3,373 24.6%
[
3.5%
-
4.0%
]
3.65%
630 25.9%
[
3.5%
-
4.0%
]
3.69%
1,002 40.4%
[
3.5%
-
4.0%
]
3.75%
587 11.6%
[
3.5%
-
4.0%
]
3.80%
15,200 22.8%
[
3.5%
-
4.0%
]
3.88%
412 39.7%
[
3.5%
-
4.0%
]
3.91%
16,277 23.2%
[
4.0%
-
4.5%
]
4.26%
8,103 29.0%
[
4.0%
-
4.5%
]
4.31%
1,045 29.2%
[
4.0%
-
4.5%
]
4.37%
7,757 16.4%
[
4.0%
-
4.5%
]
4.44%
540 19.2%
[
4.5%
-
5.0%
]
4.55%
2,243 19.2%
[
4.5%
-
5.0%
]
4.62%
390 35.0%
[
4.5%
-
5.0%
]
4.67%
664 21.8%
[
5.0%
-
5.5%
]
5.07%
493 66.7%
[
5.0%
-
5.5%
]
5.18%
1,235 44.6%
[
5.0%
-
5.5%
]
5.39%
1,577 2.5%
[
5.5%
-
6.0%
]
5.80%
4,187 19.8%
[
6.5%
-
7.0%
]
6.87%
262 100.0%
[
7.0%
-
7.5%
]
7.27%
1,086 53.3%
[
7.0%
-
7.5%
]
7.33%
2,647 28.9%
[
9.0%
-
9.5%
]
9.35%
2,332 13.4%
[
9.5%
-
10.0%
]
9.76%
1,475 11.4%
[
9.5%
-
10.0%
]
9.84%
183 100.0%
[
11.5%
-
12.0%
]
11.57%
1,132 85.0%
[
12.5%
-
13.0%
]
12.87%
404 100.0%