German 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

German Child Poverty Among Girls Under 16
Exceptional

14.9%
POVERTY | GIRLS < 16
96.3/ 100
METRIC RATING
95th/ 347
METRIC RANK

German Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 555,937,968 people shows a mild positive correlation between the proportion of Germans and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.335 and weighted average of 14.9%. On average, for every 1% (one percent) increase in Germans within a typical geography, there is an increase of 0.22% in poverty level among girls under the age of 16.
German Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Germans 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 Germans influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Germans 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 Germans by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Germans are Immigrants from Switzerland (14.9%, a difference of 0.020%), Immigrants from France (14.9%, a difference of 0.040%), Immigrants from Latvia (14.9%, a difference of 0.13%), Immigrants from North America (14.9%, a difference of 0.30%), and Basque (15.0%, a difference of 0.32%).
DemographicsRating | RankChild Poverty Among Girls Under 16
Immigrants from Canada
97.1
/100
|
#88
Exceptional
14.8%
Jordanians
97.1
/100
|
#89
Exceptional
14.8%
Northern Europeans
97.0
/100
|
#90
Exceptional
14.8%
Immigrants from Belarus
97.0
/100
|
#91
Exceptional
14.8%
Austrians
96.7
/100
|
#92
Exceptional
14.9%
Immigrants from North America
96.6
/100
|
#93
Exceptional
14.9%
Immigrants from Switzerland
96.3
/100
|
#94
Exceptional
14.9%
Germans
96.3
/100
|
#95
Exceptional
14.9%
Immigrants from France
96.2
/100
|
#96
Exceptional
14.9%
Immigrants from Latvia
96.1
/100
|
#97
Exceptional
14.9%
Basques
95.9
/100
|
#98
Exceptional
15.0%
Immigrants from Egypt
95.7
/100
|
#99
Exceptional
15.0%
Paraguayans
95.7
/100
|
#100
Exceptional
15.0%
Immigrants from South Africa
95.6
/100
|
#101
Exceptional
15.0%
Immigrants from Malaysia
95.6
/100
|
#102
Exceptional
15.0%

German Child Poverty Among Girls Under 16 Correlation Summary

Measurement German Data Child Poverty Among Girls Under 16 Data
Minimum 0.24% 4.2%
Maximum 100.0% 100.0%
Range 99.8% 95.8%
Mean 40.6% 18.0%
Median 40.3% 13.3%
Interquartile 25% (IQ1) 20.0% 11.4%
Interquartile 75% (IQ3) 60.5% 17.0%
Interquartile Range (IQR) 40.5% 5.6%
Standard Deviation (Sample) 24.1% 15.6%
Standard Deviation (Population) 24.0% 15.5%

Correlation Details

German Percentile Sample Size Child Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.24%
12,230,147 36.4%
[
0.5%
-
1.0%
]
0.74%
10,829,275 30.3%
[
1.0%
-
1.5%
]
1.24%
9,546,475 27.5%
[
1.5%
-
2.0%
]
1.76%
11,227,245 26.4%
[
2.0%
-
2.5%
]
2.27%
10,545,612 25.5%
[
2.5%
-
3.0%
]
2.81%
19,437,724 24.1%
[
3.0%
-
3.5%
]
3.25%
13,012,843 24.0%
[
3.5%
-
4.0%
]
3.78%
17,088,625 22.5%
[
4.0%
-
4.5%
]
4.26%
11,021,802 21.3%
[
4.5%
-
5.0%
]
4.76%
15,947,323 22.2%
[
5.0%
-
5.5%
]
5.25%
12,822,742 22.0%
[
5.5%
-
6.0%
]
5.74%
13,227,799 19.4%
[
6.0%
-
6.5%
]
6.26%
14,003,748 20.2%
[
6.5%
-
7.0%
]
6.78%
17,715,088 19.5%
[
7.0%
-
7.5%
]
7.24%
17,405,102 19.4%
[
7.5%
-
8.0%
]
7.73%
15,271,368 18.5%
[
8.0%
-
8.5%
]
8.27%
16,134,340 16.1%
[
8.5%
-
9.0%
]
8.75%
13,690,559 16.9%
[
9.0%
-
9.5%
]
9.23%
15,115,139 16.2%
[
9.5%
-
10.0%
]
9.73%
14,078,984 17.1%
[
10.0%
-
10.5%
]
10.25%
12,813,370 15.1%
[
10.5%
-
11.0%
]
10.75%
13,919,565 15.8%
[
11.0%
-
11.5%
]
11.23%
14,311,436 14.2%
[
11.5%
-
12.0%
]
11.74%
10,738,319 14.8%
[
12.0%
-
12.5%
]
12.24%
11,426,687 13.6%
[
12.5%
-
13.0%
]
12.76%
13,666,360 14.7%
[
13.0%
-
13.5%
]
13.26%
11,142,697 13.7%
[
13.5%
-
14.0%
]
13.75%
11,124,978 14.9%
[
14.0%
-
14.5%
]
14.24%
9,311,759 13.4%
[
14.5%
-
15.0%
]
14.76%
8,938,784 13.8%
[
15.0%
-
15.5%
]
15.25%
10,493,105 16.8%
[
15.5%
-
16.0%
]
15.73%
8,688,349 14.0%
[
16.0%
-
16.5%
]
16.25%
7,179,388 14.0%
[
16.5%
-
17.0%
]
16.76%
6,475,212 14.1%
[
17.0%
-
17.5%
]
17.26%
6,086,878 14.6%
[
17.5%
-
18.0%
]
17.74%
7,234,230 15.3%
[
18.0%
-
18.5%
]
18.24%
5,383,674 15.5%
[
18.5%
-
19.0%
]
18.76%
4,883,091 14.6%
[
19.0%
-
19.5%
]
19.25%
6,219,117 14.2%
[
19.5%
-
20.0%
]
19.74%
5,675,436 16.4%
[
20.0%
-
20.5%
]
20.26%
4,886,670 13.3%
[
20.5%
-
21.0%
]
20.74%
5,221,856 15.3%
[
21.0%
-
21.5%
]
21.22%
4,027,397 13.1%
[
21.5%
-
22.0%
]
21.75%
3,575,741 13.3%
[
22.0%
-
22.5%
]
22.27%
3,439,207 14.8%
[
22.5%
-
23.0%
]
22.74%
3,916,874 15.1%
[
23.0%
-
23.5%
]
23.23%
3,031,623 12.8%
[
23.5%
-
24.0%
]
23.74%
3,166,714 13.0%
[
24.0%
-
24.5%
]
24.23%
2,941,833 13.2%
[
24.5%
-
25.0%
]
24.73%
3,439,104 13.1%
[
25.0%
-
25.5%
]
25.24%
2,660,684 12.9%
[
25.5%
-
26.0%
]
25.75%
2,565,892 14.1%
[
26.0%
-
26.5%
]
26.26%
2,559,652 13.1%
[
26.5%
-
27.0%
]
26.75%
2,271,127 12.9%
[
27.0%
-
27.5%
]
27.28%
2,262,218 12.2%
[
27.5%
-
28.0%
]
27.74%
2,258,834 11.4%
[
28.0%
-
28.5%
]
28.24%
2,407,726 13.5%
[
28.5%
-
29.0%
]
28.77%
2,699,872 13.3%
[
29.0%
-
29.5%
]
29.24%
1,647,494 11.7%
[
29.5%
-
30.0%
]
29.77%
1,632,131 12.9%
[
30.0%
-
30.5%
]
30.27%
1,995,261 11.4%
[
30.5%
-
31.0%
]
30.71%
1,481,228 10.2%
[
31.0%
-
31.5%
]
31.27%
1,163,577 11.9%
[
31.5%
-
32.0%
]
31.75%
1,607,423 12.1%
[
32.0%
-
32.5%
]
32.24%
1,526,542 10.2%
[
32.5%
-
33.0%
]
32.74%
1,446,901 13.3%
[
33.0%
-
33.5%
]
33.23%
1,159,124 11.6%
[
33.5%
-
34.0%
]
33.74%
1,110,326 12.0%
[
34.0%
-
34.5%
]
34.22%
1,110,713 14.7%
[
34.5%
-
35.0%
]
34.74%
926,032 10.2%
[
35.0%
-
35.5%
]
35.26%
746,601 9.5%
[
35.5%
-
36.0%
]
35.75%
846,161 12.3%
[
36.0%
-
36.5%
]
36.24%
1,004,218 10.8%
[
36.5%
-
37.0%
]
36.76%
964,692 11.7%
[
37.0%
-
37.5%
]
37.24%
802,325 9.8%
[
37.5%
-
38.0%
]
37.75%
527,367 11.7%
[
38.0%
-
38.5%
]
38.32%
705,546 12.1%
[
38.5%
-
39.0%
]
38.73%
477,136 13.6%
[
39.0%
-
39.5%
]
39.28%
566,415 12.4%
[
39.5%
-
40.0%
]
39.72%
719,498 12.9%
[
40.0%
-
40.5%
]
40.31%
469,509 10.3%
[
40.5%
-
41.0%
]
40.73%
615,041 10.3%
[
41.0%
-
41.5%
]
41.23%
543,669 10.0%
[
41.5%
-
42.0%
]
41.76%
480,459 10.7%
[
42.0%
-
42.5%
]
42.27%
503,072 11.1%
[
42.5%
-
43.0%
]
42.71%
689,166 11.7%
[
43.0%
-
43.5%
]
43.24%
522,532 10.5%
[
43.5%
-
44.0%
]
43.73%
236,219 11.3%
[
44.0%
-
44.5%
]
44.27%
329,291 10.4%
[
44.5%
-
45.0%
]
44.76%
280,007 12.2%
[
45.0%
-
45.5%
]
45.25%
317,896 12.5%
[
45.5%
-
46.0%
]
45.77%
222,485 10.7%
[
46.0%
-
46.5%
]
46.25%
289,223 11.8%
[
46.5%
-
47.0%
]
46.72%
263,124 11.3%
[
47.0%
-
47.5%
]
47.15%
269,944 12.0%
[
47.5%
-
48.0%
]
47.79%
144,202 13.0%
[
48.0%
-
48.5%
]
48.24%
244,361 10.7%
[
48.5%
-
49.0%
]
48.77%
198,653 9.8%
[
49.0%
-
49.5%
]
49.26%
231,902 8.8%
[
49.5%
-
50.0%
]
49.76%
123,852 13.2%
[
50.0%
-
50.5%
]
50.24%
96,383 11.2%
[
50.5%
-
51.0%
]
50.77%
145,461 12.0%
[
51.0%
-
51.5%
]
51.24%
85,453 11.4%
[
51.5%
-
52.0%
]
51.68%
105,521 9.1%
[
52.0%
-
52.5%
]
52.25%
45,793 9.0%
[
52.5%
-
53.0%
]
52.79%
66,280 15.3%
[
53.0%
-
53.5%
]
53.23%
66,312 11.0%
[
53.5%
-
54.0%
]
53.77%
76,439 8.7%
[
54.0%
-
54.5%
]
54.29%
24,809 10.9%
[
54.5%
-
55.0%
]
54.72%
53,371 17.3%
[
55.0%
-
55.5%
]
55.27%
65,370 7.9%
[
55.5%
-
56.0%
]
55.77%
63,695 10.9%
[
56.0%
-
56.5%
]
56.21%
60,458 7.8%
[
56.5%
-
57.0%
]
56.83%
41,910 10.6%
[
57.0%
-
57.5%
]
57.21%
39,201 11.8%
[
57.5%
-
58.0%
]
57.84%
41,552 10.8%
[
58.0%
-
58.5%
]
58.26%
26,764 11.6%
[
58.5%
-
59.0%
]
58.74%
26,220 13.8%
[
59.0%
-
59.5%
]
59.25%
33,141 10.4%
[
59.5%
-
60.0%
]
59.77%
13,494 18.5%
[
60.0%
-
60.5%
]
60.31%
19,040 8.4%
[
60.5%
-
61.0%
]
60.69%
10,996 11.4%
[
61.0%
-
61.5%
]
61.11%
26,754 4.4%
[
61.5%
-
62.0%
]
61.76%
33,004 8.5%
[
62.0%
-
62.5%
]
62.17%
15,327 17.1%
[
62.5%
-
63.0%
]
62.71%
13,648 11.5%
[
63.0%
-
63.5%
]
63.20%
18,246 11.8%
[
63.5%
-
64.0%
]
63.67%
14,301 16.5%
[
64.0%
-
64.5%
]
64.18%
10,732 12.5%
[
64.5%
-
65.0%
]
64.69%
6,867 7.4%
[
65.0%
-
65.5%
]
65.24%
3,702 14.7%
[
65.5%
-
66.0%
]
65.74%
4,565 13.1%
[
66.0%
-
66.5%
]
66.30%
6,155 16.7%
[
66.5%
-
67.0%
]
66.64%
2,335 16.1%
[
67.0%
-
67.5%
]
67.15%
1,927 14.1%
[
67.5%
-
68.0%
]
67.64%
4,262 10.8%
[
68.0%
-
68.5%
]
68.20%
5,506 12.6%
[
68.5%
-
69.0%
]
68.75%
1,888 34.0%
[
69.0%
-
69.5%
]
69.29%
6,419 6.4%
[
69.5%
-
70.0%
]
69.59%
1,404 23.8%
[
70.0%
-
70.5%
]
70.30%
2,758 5.0%
[
70.5%
-
71.0%
]
70.70%
4,191 32.0%
[
71.0%
-
71.5%
]
71.18%
923 22.0%
[
71.5%
-
72.0%
]
71.64%
268 49.6%
[
72.0%
-
72.5%
]
72.16%
352 71.0%
[
72.5%
-
73.0%
]
72.63%
95 61.4%
[
73.0%
-
73.5%
]
73.28%
595 24.8%
[
73.5%
-
74.0%
]
73.72%
1,115 27.9%
[
74.0%
-
74.5%
]
74.34%
647 18.2%
[
75.0%
-
75.5%
]
75.00%
348 85.1%
[
75.5%
-
76.0%
]
75.81%
277 63.1%
[
76.0%
-
76.5%
]
76.16%
172 47.1%
[
77.0%
-
77.5%
]
77.04%
1,028 4.2%
[
78.0%
-
78.5%
]
78.23%
124 12.5%
[
80.0%
-
80.5%
]
80.34%
178 57.1%
[
80.5%
-
81.0%
]
80.86%
162 45.5%
[
83.0%
-
83.5%
]
83.04%
513 20.0%
[
84.0%
-
84.5%
]
84.21%
342 18.2%
[
89.0%
-
89.5%
]
89.06%
265 77.9%
[
93.5%
-
94.0%
]
93.94%
165 100.0%
[
99.5%
-
100.0%
]
100.00%
28 100.0%