Russian 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

Russian Child Poverty Among Girls Under 16
Exceptional

13.9%
POVERTY | GIRLS < 16
99.6/ 100
METRIC RATING
36th/ 347
METRIC RANK

Russian Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 495,383,256 people shows a substantial positive correlation between the proportion of Russians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.549 and weighted average of 13.9%. On average, for every 1% (one percent) increase in Russians within a typical geography, there is an increase of 0.90% in poverty level among girls under the age of 16.
Russian Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Russians 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 Russians influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Russians 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 Russians by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Russians are Lithuanian (13.9%, a difference of 0.020%), Immigrants from Northern Europe (13.8%, a difference of 0.15%), Immigrants from Moldova (13.9%, a difference of 0.32%), Immigrants from Australia (14.0%, a difference of 0.97%), and Immigrants from Sri Lanka (14.0%, a difference of 1.1%).
DemographicsRating | RankChild Poverty Among Girls Under 16
Bolivians
99.8
/100
|
#29
Exceptional
13.6%
Asians
99.7
/100
|
#30
Exceptional
13.7%
Turks
99.7
/100
|
#31
Exceptional
13.7%
Danes
99.7
/100
|
#32
Exceptional
13.7%
Swedes
99.7
/100
|
#33
Exceptional
13.7%
Maltese
99.7
/100
|
#34
Exceptional
13.7%
Immigrants from Northern Europe
99.6
/100
|
#35
Exceptional
13.8%
Russians
99.6
/100
|
#36
Exceptional
13.9%
Lithuanians
99.6
/100
|
#37
Exceptional
13.9%
Immigrants from Moldova
99.6
/100
|
#38
Exceptional
13.9%
Immigrants from Australia
99.5
/100
|
#39
Exceptional
14.0%
Immigrants from Sri Lanka
99.5
/100
|
#40
Exceptional
14.0%
Immigrants from Bolivia
99.5
/100
|
#41
Exceptional
14.0%
Immigrants from Scotland
99.4
/100
|
#42
Exceptional
14.0%
Koreans
99.4
/100
|
#43
Exceptional
14.1%

Russian Child Poverty Among Girls Under 16 Correlation Summary

MeasurementRussian DataChild Poverty Among Girls Under 16 Data
Minimum0.22%1.9%
Maximum39.1%100.0%
Range38.9%98.1%
Mean12.7%17.2%
Median11.2%12.5%
Interquartile 25% (IQ1)5.5%8.0%
Interquartile 75% (IQ3)17.2%22.6%
Interquartile Range (IQR)11.7%14.6%
Standard Deviation (Sample)9.6%15.9%
Standard Deviation (Population)9.5%15.7%

Correlation Details

Russian PercentileSample SizeChild Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.22%
231,685,72820.3%
[
0.5%
-
1.0%
]
0.67%
123,372,80715.1%
[
1.0%
-
1.5%
]
1.12%
56,213,69113.2%
[
1.5%
-
2.0%
]
1.60%
34,306,20713.1%
[
2.0%
-
2.5%
]
2.07%
23,999,97715.3%
[
2.5%
-
3.0%
]
2.51%
7,621,63710.4%
[
2.5%
-
3.0%
]
2.98%
5,221,51610.5%
[
3.0%
-
3.5%
]
3.44%
3,077,7519.9%
[
3.5%
-
4.0%
]
3.93%
2,027,99710.3%
[
4.0%
-
4.5%
]
4.34%
2,096,3359.0%
[
4.5%
-
5.0%
]
4.82%
1,032,78410.3%
[
5.0%
-
5.5%
]
5.31%
1,164,6848.1%
[
5.5%
-
6.0%
]
5.72%
593,5748.0%
[
6.0%
-
6.5%
]
6.23%
646,9476.0%
[
6.5%
-
7.0%
]
6.71%
577,8078.1%
[
7.0%
-
7.5%
]
7.18%
338,0529.2%
[
7.5%
-
8.0%
]
7.63%
408,6917.9%
[
8.0%
-
8.5%
]
8.08%
245,9696.8%
[
8.0%
-
8.5%
]
8.50%
109,3908.2%
[
8.5%
-
9.0%
]
8.89%
194,7465.9%
[
9.0%
-
9.5%
]
9.39%
124,7678.3%
[
9.5%
-
10.0%
]
9.78%
74,62130.5%
[
10.5%
-
11.0%
]
10.51%
33,62018.3%
[
10.5%
-
11.0%
]
10.87%
22,6665.0%
[
11.0%
-
11.5%
]
11.18%
10,07124.7%
[
11.5%
-
12.0%
]
11.76%
10,92412.5%
[
12.0%
-
12.5%
]
12.05%
29,15813.6%
[
12.5%
-
13.0%
]
12.56%
1,01134.4%
[
12.5%
-
13.0%
]
12.93%
13,8463.2%
[
13.5%
-
14.0%
]
13.68%
1,55020.4%
[
13.5%
-
14.0%
]
13.98%
14,0736.9%
[
14.0%
-
14.5%
]
14.40%
10,4026.8%
[
15.0%
-
15.5%
]
15.04%
4,2297.5%
[
15.5%
-
16.0%
]
15.62%
42946.0%
[
15.5%
-
16.0%
]
15.84%
1,93222.4%
[
16.0%
-
16.5%
]
16.31%
1,70422.9%
[
17.0%
-
17.5%
]
17.02%
32924.0%
[
17.0%
-
17.5%
]
17.32%
1,0391.9%
[
17.5%
-
18.0%
]
17.60%
83,06916.1%
[
18.0%
-
18.5%
]
18.02%
17224.1%
[
18.5%
-
19.0%
]
18.61%
2,28914.1%
[
20.0%
-
20.5%
]
20.21%
2,1087.2%
[
20.5%
-
21.0%
]
20.56%
35537.6%
[
20.5%
-
21.0%
]
20.92%
98019.8%
[
28.5%
-
29.0%
]
28.57%
5612.5%
[
35.0%
-
35.5%
]
35.07%
402100.0%
[
35.5%
-
36.0%
]
35.79%
9525.0%
[
37.5%
-
38.0%
]
37.78%
9025.0%
[
39.0%
-
39.5%
]
39.12%
97946.1%