German Female Poverty Among 25-34 Year Olds

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Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
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Female Poverty Among 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

German Female Poverty Among 25-34 Year Olds
Average

13.6%
POVERTY | FEMALES 25-34
41.6/ 100
METRIC RATING
180th/ 347
METRIC RANK

German Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 555,866,490 people shows a mild positive correlation between the proportion of Germans and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.320 and weighted average of 13.6%. On average, for every 1% (one percent) increase in Germans within a typical geography, there is an increase of 0.14% in poverty level among females between the ages 25 and 34.
German Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Germans and poverty level among females between the ages 25 and 34 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 females between the ages 25 and 34 within an area, or if Germans simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.

Demographics Similar to Germans by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Germans are Guamanian/Chamorro (13.6%, a difference of 0.010%), Immigrants from Venezuela (13.6%, a difference of 0.070%), Portuguese (13.6%, a difference of 0.11%), Immigrants from Eastern Africa (13.6%, a difference of 0.17%), and Canadian (13.6%, a difference of 0.23%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Kenyans
51.8
/100
|
#173
Average
13.5%
Immigrants from Oceania
50.0
/100
|
#174
Average
13.5%
Bermudans
46.8
/100
|
#175
Average
13.6%
Yugoslavians
45.0
/100
|
#176
Average
13.6%
Venezuelans
44.6
/100
|
#177
Average
13.6%
Canadians
44.3
/100
|
#178
Average
13.6%
Immigrants from Eastern Africa
43.6
/100
|
#179
Average
13.6%
Germans
41.6
/100
|
#180
Average
13.6%
Guamanians/Chamorros
41.5
/100
|
#181
Average
13.6%
Immigrants from Venezuela
40.7
/100
|
#182
Average
13.6%
Portuguese
40.3
/100
|
#183
Average
13.6%
Czechoslovakians
36.8
/100
|
#184
Fair
13.7%
Irish
35.3
/100
|
#185
Fair
13.7%
Immigrants from Uruguay
34.1
/100
|
#186
Fair
13.7%
Slovaks
34.1
/100
|
#187
Fair
13.7%

German Female Poverty Among 25-34 Year Olds Correlation Summary

Measurement German Data Female Poverty Among 25-34 Year Olds Data
Minimum 0.24% 5.7%
Maximum 89.1% 89.5%
Range 88.8% 83.7%
Mean 38.2% 15.8%
Median 38.0% 13.3%
Interquartile 25% (IQ1) 19.0% 11.8%
Interquartile 75% (IQ3) 57.0% 14.9%
Interquartile Range (IQR) 38.0% 3.1%
Standard Deviation (Sample) 22.4% 9.9%
Standard Deviation (Population) 22.3% 9.8%

Correlation Details

German Percentile Sample Size Female Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.24%
12,190,952 27.9%
[
0.5%
-
1.0%
]
0.74%
10,784,273 22.2%
[
1.0%
-
1.5%
]
1.24%
9,505,235 21.3%
[
1.5%
-
2.0%
]
1.76%
11,202,017 20.2%
[
2.0%
-
2.5%
]
2.27%
10,506,122 19.4%
[
2.5%
-
3.0%
]
2.80%
19,333,879 17.5%
[
3.0%
-
3.5%
]
3.25%
12,928,071 18.7%
[
3.5%
-
4.0%
]
3.78%
17,049,167 17.1%
[
4.0%
-
4.5%
]
4.26%
11,079,873 17.1%
[
4.5%
-
5.0%
]
4.76%
15,874,841 16.8%
[
5.0%
-
5.5%
]
5.25%
12,893,697 17.5%
[
5.5%
-
6.0%
]
5.74%
13,135,686 16.0%
[
6.0%
-
6.5%
]
6.26%
14,028,929 16.5%
[
6.5%
-
7.0%
]
6.78%
17,761,496 15.7%
[
7.0%
-
7.5%
]
7.24%
17,432,536 14.9%
[
7.5%
-
8.0%
]
7.73%
15,159,681 14.6%
[
8.0%
-
8.5%
]
8.27%
15,993,952 13.8%
[
8.5%
-
9.0%
]
8.75%
13,570,738 14.3%
[
9.0%
-
9.5%
]
9.23%
15,157,537 14.0%
[
9.5%
-
10.0%
]
9.73%
14,134,442 14.7%
[
10.0%
-
10.5%
]
10.25%
12,862,425 13.2%
[
10.5%
-
11.0%
]
10.75%
13,926,954 14.0%
[
11.0%
-
11.5%
]
11.23%
14,252,091 12.9%
[
11.5%
-
12.0%
]
11.74%
10,670,688 14.2%
[
12.0%
-
12.5%
]
12.23%
11,521,147 12.6%
[
12.5%
-
13.0%
]
12.76%
13,672,515 12.9%
[
13.0%
-
13.5%
]
13.26%
11,355,724 12.9%
[
13.5%
-
14.0%
]
13.75%
11,140,959 13.2%
[
14.0%
-
14.5%
]
14.24%
9,315,649 12.3%
[
14.5%
-
15.0%
]
14.75%
9,091,134 13.0%
[
15.0%
-
15.5%
]
15.25%
10,518,095 14.8%
[
15.5%
-
16.0%
]
15.74%
8,706,623 13.4%
[
16.0%
-
16.5%
]
16.25%
7,206,206 14.0%
[
16.5%
-
17.0%
]
16.76%
6,490,012 13.0%
[
17.0%
-
17.5%
]
17.26%
6,142,486 14.0%
[
17.5%
-
18.0%
]
17.74%
7,228,351 14.1%
[
18.0%
-
18.5%
]
18.24%
5,360,206 13.8%
[
18.5%
-
19.0%
]
18.76%
4,968,319 14.4%
[
19.0%
-
19.5%
]
19.25%
6,281,206 13.1%
[
19.5%
-
20.0%
]
19.74%
5,674,806 14.5%
[
20.0%
-
20.5%
]
20.26%
4,905,700 13.2%
[
20.5%
-
21.0%
]
20.73%
5,225,779 13.5%
[
21.0%
-
21.5%
]
21.22%
4,185,643 12.2%
[
21.5%
-
22.0%
]
21.75%
3,570,185 14.0%
[
22.0%
-
22.5%
]
22.27%
3,436,585 14.1%
[
22.5%
-
23.0%
]
22.74%
3,905,354 14.1%
[
23.0%
-
23.5%
]
23.23%
3,010,190 12.7%
[
23.5%
-
24.0%
]
23.74%
3,178,609 13.0%
[
24.0%
-
24.5%
]
24.23%
2,961,164 12.4%
[
24.5%
-
25.0%
]
24.73%
3,394,261 12.4%
[
25.0%
-
25.5%
]
25.23%
2,596,834 12.6%
[
25.5%
-
26.0%
]
25.76%
2,614,033 13.3%
[
26.0%
-
26.5%
]
26.26%
2,637,202 12.6%
[
26.5%
-
27.0%
]
26.76%
2,277,929 13.7%
[
27.0%
-
27.5%
]
27.28%
2,248,127 12.2%
[
27.5%
-
28.0%
]
27.74%
2,250,991 12.6%
[
28.0%
-
28.5%
]
28.24%
2,393,693 13.2%
[
28.5%
-
29.0%
]
28.77%
2,648,723 11.3%
[
29.0%
-
29.5%
]
29.25%
1,600,029 11.7%
[
29.5%
-
30.0%
]
29.77%
1,649,826 13.6%
[
30.0%
-
30.5%
]
30.27%
1,976,239 11.4%
[
30.5%
-
31.0%
]
30.71%
1,486,062 11.7%
[
31.0%
-
31.5%
]
31.27%
1,134,982 13.2%
[
31.5%
-
32.0%
]
31.75%
1,610,355 11.2%
[
32.0%
-
32.5%
]
32.24%
1,510,034 10.3%
[
32.5%
-
33.0%
]
32.74%
1,433,950 12.1%
[
33.0%
-
33.5%
]
33.24%
1,154,921 13.2%
[
33.5%
-
34.0%
]
33.74%
1,101,546 12.9%
[
34.0%
-
34.5%
]
34.22%
1,176,981 13.6%
[
34.5%
-
35.0%
]
34.73%
909,141 11.3%
[
35.0%
-
35.5%
]
35.27%
693,998 11.4%
[
35.5%
-
36.0%
]
35.75%
855,237 13.5%
[
36.0%
-
36.5%
]
36.24%
995,374 12.0%
[
36.5%
-
37.0%
]
36.76%
938,117 11.5%
[
37.0%
-
37.5%
]
37.24%
780,707 11.9%
[
37.5%
-
38.0%
]
37.76%
515,883 11.4%
[
38.0%
-
38.5%
]
38.31%
721,240 11.0%
[
38.5%
-
39.0%
]
38.74%
522,330 13.3%
[
39.0%
-
39.5%
]
39.27%
599,763 11.7%
[
39.5%
-
40.0%
]
39.72%
734,400 13.7%
[
40.0%
-
40.5%
]
40.31%
482,182 11.8%
[
40.5%
-
41.0%
]
40.73%
644,622 12.0%
[
41.0%
-
41.5%
]
41.24%
564,183 10.6%
[
41.5%
-
42.0%
]
41.75%
463,626 11.8%
[
42.0%
-
42.5%
]
42.27%
494,609 11.7%
[
42.5%
-
43.0%
]
42.71%
665,790 11.8%
[
43.0%
-
43.5%
]
43.24%
520,757 13.4%
[
43.5%
-
44.0%
]
43.73%
229,629 11.9%
[
44.0%
-
44.5%
]
44.26%
314,420 13.6%
[
44.5%
-
45.0%
]
44.78%
253,452 13.3%
[
45.0%
-
45.5%
]
45.23%
288,931 14.2%
[
45.5%
-
46.0%
]
45.77%
216,412 12.0%
[
46.0%
-
46.5%
]
46.25%
275,054 11.9%
[
46.5%
-
47.0%
]
46.72%
272,179 10.3%
[
47.0%
-
47.5%
]
47.15%
257,970 9.7%
[
47.5%
-
48.0%
]
47.78%
168,025 10.4%
[
48.0%
-
48.5%
]
48.24%
238,238 9.4%
[
48.5%
-
49.0%
]
48.77%
190,318 10.4%
[
49.0%
-
49.5%
]
49.26%
232,369 10.9%
[
49.5%
-
50.0%
]
49.75%
109,358 14.0%
[
50.0%
-
50.5%
]
50.24%
102,704 13.6%
[
50.5%
-
51.0%
]
50.77%
123,621 9.1%
[
51.0%
-
51.5%
]
51.24%
83,364 14.1%
[
51.5%
-
52.0%
]
51.70%
71,399 17.4%
[
52.0%
-
52.5%
]
52.25%
61,469 13.2%
[
52.5%
-
53.0%
]
52.81%
59,431 10.6%
[
53.0%
-
53.5%
]
53.23%
57,267 10.7%
[
53.5%
-
54.0%
]
53.78%
76,054 10.4%
[
54.0%
-
54.5%
]
54.29%
23,980 9.7%
[
54.5%
-
55.0%
]
54.72%
60,667 13.9%
[
55.0%
-
55.5%
]
55.25%
53,009 12.7%
[
55.5%
-
56.0%
]
55.77%
71,053 16.6%
[
56.0%
-
56.5%
]
56.21%
61,784 13.9%
[
56.5%
-
57.0%
]
56.81%
40,224 14.3%
[
57.0%
-
57.5%
]
57.23%
34,653 12.8%
[
57.5%
-
58.0%
]
57.85%
32,396 13.2%
[
58.0%
-
58.5%
]
58.29%
26,753 16.0%
[
58.5%
-
59.0%
]
58.75%
23,831 14.7%
[
59.0%
-
59.5%
]
59.25%
32,012 13.0%
[
59.5%
-
60.0%
]
59.70%
14,904 18.5%
[
60.0%
-
60.5%
]
60.29%
19,754 9.6%
[
60.5%
-
61.0%
]
60.66%
12,621 8.9%
[
61.0%
-
61.5%
]
61.11%
25,929 8.6%
[
61.5%
-
62.0%
]
61.75%
31,136 10.6%
[
62.0%
-
62.5%
]
62.17%
16,488 16.9%
[
62.5%
-
63.0%
]
62.71%
13,540 19.8%
[
63.0%
-
63.5%
]
63.20%
17,852 20.0%
[
63.5%
-
64.0%
]
63.70%
20,528 17.8%
[
64.0%
-
64.5%
]
64.22%
5,436 24.0%
[
64.5%
-
65.0%
]
64.59%
10,409 5.7%
[
65.0%
-
65.5%
]
65.24%
3,751 22.1%
[
65.5%
-
66.0%
]
65.68%
6,934 7.7%
[
66.0%
-
66.5%
]
66.27%
7,367 19.0%
[
66.5%
-
67.0%
]
66.74%
4,766 15.8%
[
67.0%
-
67.5%
]
67.08%
975 7.7%
[
67.5%
-
68.0%
]
67.63%
3,967 10.7%
[
68.0%
-
68.5%
]
68.16%
4,856 6.8%
[
68.5%
-
69.0%
]
68.66%
2,138 35.5%
[
69.0%
-
69.5%
]
69.17%
3,347 22.4%
[
69.5%
-
70.0%
]
69.74%
228 53.7%
[
70.0%
-
70.5%
]
70.28%
3,149 14.9%
[
70.5%
-
71.0%
]
70.74%
4,214 34.2%
[
71.0%
-
71.5%
]
71.18%
923 12.0%
[
71.5%
-
72.0%
]
71.72%
99 10.0%
[
73.5%
-
74.0%
]
73.84%
409 37.0%
[
74.0%
-
74.5%
]
74.30%
498 58.3%
[
75.5%
-
76.0%
]
75.57%
131 43.9%
[
76.0%
-
76.5%
]
76.47%
221 41.9%
[
77.0%
-
77.5%
]
77.14%
105 33.3%
[
77.5%
-
78.0%
]
77.67%
627 14.3%
[
81.5%
-
82.0%
]
81.79%
291 44.4%
[
89.0%
-
89.5%
]
89.06%
265 89.5%