Zimbabwean 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

Zimbabwean Child Poverty Among Girls Under 16
Exceptional

14.4%
POVERTY | GIRLS < 16
98.8/ 100
METRIC RATING
59th/ 347
METRIC RANK

Zimbabwean Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 69,044,520 people shows a poor negative correlation between the proportion of Zimbabweans and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of -0.153 and weighted average of 14.4%. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is a decrease of 1.4% in poverty level among girls under the age of 16.
Zimbabwean Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Zimbabweans 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 Zimbabweans influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Zimbabweans 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 Zimbabweans by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Zimbabweans are Immigrants from Bulgaria (14.4%, a difference of 0.060%), Immigrants from Serbia (14.4%, a difference of 0.15%), Immigrants from Indonesia (14.4%, a difference of 0.19%), Polish (14.4%, a difference of 0.19%), and Cambodian (14.4%, a difference of 0.20%).
DemographicsRating | RankChild Poverty Among Girls Under 16
Italians
99.1
/100
|
#52
Exceptional
14.3%
Luxembourgers
99.0
/100
|
#53
Exceptional
14.3%
Estonians
98.9
/100
|
#54
Exceptional
14.3%
Immigrants from Romania
98.9
/100
|
#55
Exceptional
14.3%
Immigrants from Indonesia
98.9
/100
|
#56
Exceptional
14.4%
Immigrants from Serbia
98.9
/100
|
#57
Exceptional
14.4%
Immigrants from Bulgaria
98.8
/100
|
#58
Exceptional
14.4%
Zimbabweans
98.8
/100
|
#59
Exceptional
14.4%
Poles
98.7
/100
|
#60
Exceptional
14.4%
Cambodians
98.7
/100
|
#61
Exceptional
14.4%
Scandinavians
98.7
/100
|
#62
Exceptional
14.4%
Immigrants from Europe
98.7
/100
|
#63
Exceptional
14.4%
Immigrants from Philippines
98.6
/100
|
#64
Exceptional
14.4%
Immigrants from Sweden
98.6
/100
|
#65
Exceptional
14.5%
Immigrants from Belgium
98.5
/100
|
#66
Exceptional
14.5%

Zimbabwean Child Poverty Among Girls Under 16 Correlation Summary

MeasurementZimbabwean DataChild Poverty Among Girls Under 16 Data
Minimum0.0070%0.32%
Maximum4.2%29.1%
Range4.2%28.8%
Mean0.84%11.0%
Median0.53%9.2%
Interquartile 25% (IQ1)0.26%4.4%
Interquartile 75% (IQ3)1.1%16.0%
Interquartile Range (IQR)0.83%11.7%
Standard Deviation (Sample)0.85%7.5%
Standard Deviation (Population)0.84%7.4%

Correlation Details

Zimbabwean PercentileSample SizeChild Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.0070%
51,351,88421.4%
[
0.0%
-
0.5%
]
0.033%
5,779,51216.1%
[
0.0%
-
0.5%
]
0.055%
4,711,23216.4%
[
0.0%
-
0.5%
]
0.081%
1,658,26614.1%
[
0.0%
-
0.5%
]
0.10%
1,238,13914.8%
[
0.0%
-
0.5%
]
0.13%
800,69712.5%
[
0.0%
-
0.5%
]
0.15%
712,28412.4%
[
0.0%
-
0.5%
]
0.17%
471,96515.8%
[
0.0%
-
0.5%
]
0.19%
530,98015.8%
[
0.0%
-
0.5%
]
0.22%
314,4607.7%
[
0.0%
-
0.5%
]
0.24%
298,89318.9%
[
0.0%
-
0.5%
]
0.27%
189,31329.1%
[
0.0%
-
0.5%
]
0.29%
211,6949.0%
[
0.0%
-
0.5%
]
0.31%
65,95020.7%
[
0.0%
-
0.5%
]
0.33%
38,9794.4%
[
0.0%
-
0.5%
]
0.35%
5,6591.3%
[
0.0%
-
0.5%
]
0.38%
51,3689.2%
[
0.0%
-
0.5%
]
0.40%
28,45822.1%
[
0.0%
-
0.5%
]
0.43%
30,39615.0%
[
0.0%
-
0.5%
]
0.46%
24,64623.4%
[
0.0%
-
0.5%
]
0.47%
145,0124.9%
[
0.0%
-
0.5%
]
0.49%
31,7941.5%
[
0.5%
-
1.0%
]
0.53%
4,7483.9%
[
0.5%
-
1.0%
]
0.60%
15,20725.0%
[
0.5%
-
1.0%
]
0.65%
43,7064.6%
[
0.5%
-
1.0%
]
0.72%
10,2097.5%
[
0.5%
-
1.0%
]
0.76%
2,0953.2%
[
0.5%
-
1.0%
]
0.82%
21,3735.9%
[
0.5%
-
1.0%
]
0.89%
33,9671.3%
[
0.5%
-
1.0%
]
0.91%
27,8290.32%
[
0.5%
-
1.0%
]
0.94%
8,63515.9%
[
0.5%
-
1.0%
]
0.96%
29,5459.0%
[
0.5%
-
1.0%
]
0.98%
17,9146.1%
[
1.0%
-
1.5%
]
1.04%
6,99511.3%
[
1.0%
-
1.5%
]
1.12%
26,2532.0%
[
1.0%
-
1.5%
]
1.19%
15,93411.3%
[
1.5%
-
2.0%
]
1.52%
1977.7%
[
1.5%
-
2.0%
]
1.58%
12,0453.2%
[
1.5%
-
2.0%
]
1.67%
9572.2%
[
1.5%
-
2.0%
]
1.91%
19,84221.3%
[
1.5%
-
2.0%
]
1.93%
15,2442.8%
[
2.0%
-
2.5%
]
2.00%
13,2478.9%
[
2.0%
-
2.5%
]
2.18%
17,2614.4%
[
3.0%
-
3.5%
]
3.04%
6,7759.4%
[
4.0%
-
4.5%
]
4.19%
2,96120.6%