Czech 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

Czech Child Poverty Among Girls Under 16
Exceptional

14.2%
POVERTY | GIRLS < 16
99.3/ 100
METRIC RATING
48th/ 347
METRIC RANK

Czech Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 470,185,036 people shows no correlation between the proportion of Czechs and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of -0.003 and weighted average of 14.2%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is a decrease of 0.0018% in poverty level among girls under the age of 16.
Czech Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Czechs 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 Czechs influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Czechs 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 Czechs by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Czechs are Immigrants from Czechoslovakia (14.2%, a difference of 0.020%), Croatian (14.1%, a difference of 0.040%), Greek (14.2%, a difference of 0.040%), Immigrants from Greece (14.1%, a difference of 0.070%), and Immigrants from Israel (14.2%, a difference of 0.11%).
DemographicsRating | RankChild Poverty Among Girls Under 16
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%
Immigrants from Asia
99.4
/100
|
#44
Exceptional
14.1%
Immigrants from Greece
99.3
/100
|
#45
Exceptional
14.1%
Croatians
99.3
/100
|
#46
Exceptional
14.1%
Immigrants from Czechoslovakia
99.3
/100
|
#47
Exceptional
14.2%
Czechs
99.3
/100
|
#48
Exceptional
14.2%
Greeks
99.2
/100
|
#49
Exceptional
14.2%
Immigrants from Israel
99.2
/100
|
#50
Exceptional
14.2%
Immigrants from Pakistan
99.1
/100
|
#51
Exceptional
14.2%
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%

Czech Child Poverty Among Girls Under 16 Correlation Summary

Measurement Czech Data Child Poverty Among Girls Under 16 Data
Minimum 0.15% 0.95%
Maximum 48.1% 36.4%
Range 47.9% 35.4%
Mean 16.8% 14.7%
Median 15.0% 13.5%
Interquartile 25% (IQ1) 7.4% 10.1%
Interquartile 75% (IQ3) 23.9% 18.5%
Interquartile Range (IQR) 16.5% 8.4%
Standard Deviation (Sample) 11.7% 7.8%
Standard Deviation (Population) 11.6% 7.8%

Correlation Details

Czech Percentile Sample Size Child Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.15%
273,301,950 18.7%
[
0.0%
-
0.5%
]
0.43%
112,398,126 14.9%
[
0.5%
-
1.0%
]
0.75%
37,256,586 12.7%
[
1.0%
-
1.5%
]
1.06%
18,096,075 12.1%
[
1.0%
-
1.5%
]
1.38%
9,825,064 10.9%
[
1.5%
-
2.0%
]
1.69%
5,912,636 11.0%
[
2.0%
-
2.5%
]
2.01%
3,780,687 11.7%
[
2.0%
-
2.5%
]
2.30%
1,873,661 13.8%
[
2.5%
-
3.0%
]
2.61%
1,488,972 11.4%
[
2.5%
-
3.0%
]
2.92%
1,035,680 11.6%
[
3.0%
-
3.5%
]
3.24%
1,207,282 13.9%
[
3.5%
-
4.0%
]
3.55%
522,717 12.4%
[
3.5%
-
4.0%
]
3.89%
387,427 17.7%
[
4.0%
-
4.5%
]
4.13%
561,780 14.0%
[
4.0%
-
4.5%
]
4.49%
571,446 12.4%
[
4.5%
-
5.0%
]
4.79%
428,866 9.7%
[
5.0%
-
5.5%
]
5.06%
275,110 10.3%
[
5.0%
-
5.5%
]
5.35%
220,510 13.9%
[
5.5%
-
6.0%
]
5.64%
70,708 11.3%
[
5.5%
-
6.0%
]
6.00%
75,656 15.7%
[
6.0%
-
6.5%
]
6.29%
58,064 13.0%
[
6.5%
-
7.0%
]
6.62%
119,179 16.3%
[
6.5%
-
7.0%
]
6.96%
61,053 12.8%
[
7.0%
-
7.5%
]
7.32%
65,589 13.5%
[
7.5%
-
8.0%
]
7.55%
58,228 14.3%
[
7.5%
-
8.0%
]
7.85%
61,324 16.6%
[
8.0%
-
8.5%
]
8.23%
57,674 11.2%
[
8.0%
-
8.5%
]
8.48%
35,201 16.4%
[
8.5%
-
9.0%
]
8.80%
26,613 24.0%
[
9.0%
-
9.5%
]
9.04%
11,479 19.5%
[
9.0%
-
9.5%
]
9.38%
10,214 10.0%
[
9.5%
-
10.0%
]
9.70%
19,575 22.3%
[
9.5%
-
10.0%
]
9.96%
15,886 15.1%
[
10.0%
-
10.5%
]
10.35%
23,117 18.5%
[
10.5%
-
11.0%
]
10.62%
5,472 26.5%
[
10.5%
-
11.0%
]
10.97%
31,991 13.3%
[
11.0%
-
11.5%
]
11.28%
26,283 11.1%
[
11.5%
-
12.0%
]
11.54%
8,516 11.4%
[
11.5%
-
12.0%
]
11.86%
5,626 19.3%
[
12.0%
-
12.5%
]
12.21%
4,850 21.3%
[
12.0%
-
12.5%
]
12.49%
5,061 24.1%
[
12.5%
-
13.0%
]
12.79%
5,913 5.9%
[
13.0%
-
13.5%
]
13.16%
2,098 14.1%
[
13.0%
-
13.5%
]
13.50%
12,256 11.9%
[
13.5%
-
14.0%
]
13.88%
872 15.6%
[
14.0%
-
14.5%
]
14.01%
17,509 2.3%
[
14.0%
-
14.5%
]
14.47%
6,121 12.3%
[
14.5%
-
15.0%
]
14.73%
5,477 21.0%
[
15.0%
-
15.5%
]
15.05%
11,357 15.7%
[
15.0%
-
15.5%
]
15.24%
2,368 20.8%
[
15.5%
-
16.0%
]
15.59%
17,897 12.5%
[
15.5%
-
16.0%
]
15.84%
1,149 8.4%
[
16.0%
-
16.5%
]
16.06%
965 21.3%
[
16.0%
-
16.5%
]
16.49%
1,346 32.5%
[
16.5%
-
17.0%
]
16.87%
3,112 6.0%
[
17.0%
-
17.5%
]
17.29%
4,864 23.5%
[
17.0%
-
17.5%
]
17.43%
895 17.5%
[
17.5%
-
18.0%
]
17.72%
2,500 15.6%
[
18.0%
-
18.5%
]
18.03%
5,168 15.7%
[
18.0%
-
18.5%
]
18.30%
5,307 25.1%
[
18.5%
-
19.0%
]
18.62%
1,391 6.4%
[
19.0%
-
19.5%
]
19.09%
330 17.8%
[
19.0%
-
19.5%
]
19.32%
1,962 0.95%
[
19.0%
-
19.5%
]
19.50%
1,477 15.8%
[
20.0%
-
20.5%
]
20.19%
931 29.3%
[
20.0%
-
20.5%
]
20.49%
6,831 9.0%
[
20.5%
-
21.0%
]
20.97%
515 15.7%
[
21.0%
-
21.5%
]
21.16%
6,677 1.6%
[
21.5%
-
22.0%
]
21.66%
2,105 13.3%
[
22.0%
-
22.5%
]
22.07%
675 28.5%
[
22.0%
-
22.5%
]
22.28%
6,652 3.0%
[
23.0%
-
23.5%
]
23.11%
1,043 6.8%
[
23.5%
-
24.0%
]
23.55%
7,991 3.8%
[
24.0%
-
24.5%
]
24.29%
667 36.4%
[
24.5%
-
25.0%
]
24.62%
1,332 20.1%
[
25.0%
-
25.5%
]
25.22%
3,930 2.1%
[
25.0%
-
25.5%
]
25.37%
134 8.3%
[
25.5%
-
26.0%
]
25.75%
167 31.2%
[
27.5%
-
28.0%
]
27.72%
2,071 11.5%
[
28.5%
-
29.0%
]
28.51%
7,766 9.7%
[
29.5%
-
30.0%
]
29.73%
1,500 4.3%
[
30.0%
-
30.5%
]
30.19%
4,942 9.1%
[
30.0%
-
30.5%
]
30.38%
609 32.6%
[
30.5%
-
31.0%
]
30.62%
699 2.9%
[
31.0%
-
31.5%
]
31.50%
254 35.7%
[
32.5%
-
33.0%
]
32.94%
513 18.5%
[
33.0%
-
33.5%
]
33.48%
1,643 33.1%
[
33.5%
-
34.0%
]
33.71%
5,233 12.1%
[
34.0%
-
34.5%
]
34.17%
120 16.7%
[
35.5%
-
36.0%
]
35.94%
256 7.1%
[
37.0%
-
37.5%
]
37.45%
275 8.3%
[
39.0%
-
39.5%
]
39.14%
350 2.2%
[
39.5%
-
40.0%
]
39.95%
2,095 11.5%
[
40.0%
-
40.5%
]
40.49%
1,235 5.4%
[
45.5%
-
46.0%
]
45.63%
458 6.5%
[
45.5%
-
46.0%
]
45.90%
427 16.0%
[
48.0%
-
48.5%
]
48.07%
672 23.8%