Norwegian Female Poverty Among 25-34 Year Olds

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Race
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 EuropeanOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania 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
Immigration
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Female Poverty Among 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Norwegian Female Poverty Among 25-34 Year Olds
Exceptional

12.6%
POVERTY | FEMALES 25-34
96.9/ 100
METRIC RATING
91st/ 347
METRIC RANK

Norwegian Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 515,286,681 people shows a mild positive correlation between the proportion of Norwegians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.354 and weighted average of 12.6%. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is an increase of 0.15% in poverty level among females between the ages 25 and 34.
Norwegian Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Norwegians 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 Norwegians 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 Norwegians 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 Norwegians by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Norwegians are Immigrants from Armenia (12.6%, a difference of 0.010%), Palestinian (12.6%, a difference of 0.050%), Immigrants from Albania (12.5%, a difference of 0.10%), Immigrants from France (12.6%, a difference of 0.10%), and Ukrainian (12.6%, a difference of 0.13%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Immigrants from Latvia
97.7
/100
|
#84
Exceptional
12.5%
Immigrants from South Eastern Asia
97.6
/100
|
#85
Exceptional
12.5%
Croatians
97.5
/100
|
#86
Exceptional
12.5%
Argentineans
97.5
/100
|
#87
Exceptional
12.5%
Immigrants from Austria
97.4
/100
|
#88
Exceptional
12.5%
Italians
97.2
/100
|
#89
Exceptional
12.5%
Immigrants from Albania
97.1
/100
|
#90
Exceptional
12.5%
Norwegians
96.9
/100
|
#91
Exceptional
12.6%
Immigrants from Armenia
96.9
/100
|
#92
Exceptional
12.6%
Palestinians
96.9
/100
|
#93
Exceptional
12.6%
Immigrants from France
96.8
/100
|
#94
Exceptional
12.6%
Ukrainians
96.7
/100
|
#95
Exceptional
12.6%
Immigrants from Zimbabwe
96.7
/100
|
#96
Exceptional
12.6%
Immigrants from Northern Africa
96.6
/100
|
#97
Exceptional
12.6%
Immigrants from Ethiopia
96.5
/100
|
#98
Exceptional
12.6%

Norwegian Female Poverty Among 25-34 Year Olds Correlation Summary

Measurement Norwegian Data Female Poverty Among 25-34 Year Olds Data
Minimum 0.25% 3.9%
Maximum 72.0% 62.5%
Range 71.8% 58.6%
Mean 27.8% 14.5%
Median 27.2% 13.1%
Interquartile 25% (IQ1) 13.5% 11.2%
Interquartile 75% (IQ3) 40.8% 15.7%
Interquartile Range (IQR) 27.4% 4.5%
Standard Deviation (Sample) 16.8% 7.0%
Standard Deviation (Population) 16.7% 7.0%

Correlation Details

Norwegian Percentile Sample Size Female Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.25%
232,465,157 16.7%
[
0.5%
-
1.0%
]
0.71%
130,896,284 13.0%
[
1.0%
-
1.5%
]
1.22%
48,837,344 12.3%
[
1.5%
-
2.0%
]
1.73%
27,471,908 11.7%
[
2.0%
-
2.5%
]
2.24%
17,500,911 11.3%
[
2.5%
-
3.0%
]
2.74%
11,089,904 11.7%
[
3.0%
-
3.5%
]
3.25%
8,014,862 13.5%
[
3.5%
-
4.0%
]
3.77%
6,946,480 12.4%
[
4.0%
-
4.5%
]
4.24%
4,783,380 12.4%
[
4.5%
-
5.0%
]
4.73%
3,425,623 14.0%
[
5.0%
-
5.5%
]
5.24%
2,080,284 12.7%
[
5.5%
-
6.0%
]
5.77%
2,053,032 12.4%
[
6.0%
-
6.5%
]
6.29%
1,728,579 13.3%
[
6.5%
-
7.0%
]
6.80%
1,648,801 15.0%
[
7.0%
-
7.5%
]
7.29%
958,492 12.7%
[
7.5%
-
8.0%
]
7.72%
1,030,727 13.9%
[
8.0%
-
8.5%
]
8.24%
619,321 12.5%
[
8.5%
-
9.0%
]
8.79%
603,444 13.2%
[
9.0%
-
9.5%
]
9.24%
961,060 13.5%
[
9.5%
-
10.0%
]
9.76%
897,578 11.8%
[
10.0%
-
10.5%
]
10.28%
593,393 10.6%
[
10.5%
-
11.0%
]
10.75%
926,951 9.0%
[
11.0%
-
11.5%
]
11.24%
956,628 9.4%
[
11.5%
-
12.0%
]
11.75%
978,907 10.5%
[
12.0%
-
12.5%
]
12.27%
1,049,047 9.5%
[
12.5%
-
13.0%
]
12.75%
562,312 8.9%
[
13.0%
-
13.5%
]
13.22%
767,072 8.9%
[
13.5%
-
14.0%
]
13.71%
561,835 10.9%
[
14.0%
-
14.5%
]
14.27%
509,516 11.2%
[
14.5%
-
15.0%
]
14.74%
476,552 8.4%
[
15.0%
-
15.5%
]
15.24%
402,092 10.1%
[
15.5%
-
16.0%
]
15.75%
392,229 12.4%
[
16.0%
-
16.5%
]
16.21%
203,670 9.6%
[
16.5%
-
17.0%
]
16.72%
329,362 11.5%
[
17.0%
-
17.5%
]
17.19%
194,150 11.7%
[
17.5%
-
18.0%
]
17.78%
156,813 13.5%
[
18.0%
-
18.5%
]
18.24%
133,742 10.9%
[
18.5%
-
19.0%
]
18.74%
94,552 9.8%
[
19.0%
-
19.5%
]
19.22%
79,047 13.7%
[
19.5%
-
20.0%
]
19.73%
66,225 16.4%
[
20.0%
-
20.5%
]
20.25%
141,291 13.1%
[
20.5%
-
21.0%
]
20.71%
53,325 13.9%
[
21.0%
-
21.5%
]
21.24%
98,134 13.5%
[
21.5%
-
22.0%
]
21.74%
60,298 14.2%
[
22.0%
-
22.5%
]
22.35%
69,151 12.1%
[
22.5%
-
23.0%
]
22.81%
80,778 14.9%
[
23.0%
-
23.5%
]
23.19%
37,514 17.4%
[
23.5%
-
24.0%
]
23.86%
83,738 19.1%
[
24.0%
-
24.5%
]
24.29%
22,014 16.3%
[
24.5%
-
25.0%
]
24.83%
43,336 16.3%
[
25.0%
-
25.5%
]
25.38%
41,912 13.4%
[
25.5%
-
26.0%
]
25.62%
205,771 13.3%
[
26.0%
-
26.5%
]
26.21%
123,093 10.1%
[
26.5%
-
27.0%
]
26.60%
42,469 16.0%
[
27.0%
-
27.5%
]
27.19%
147,274 14.7%
[
27.5%
-
28.0%
]
27.62%
56,002 11.1%
[
28.0%
-
28.5%
]
28.23%
18,686 11.6%
[
28.5%
-
29.0%
]
28.79%
93,746 3.9%
[
29.0%
-
29.5%
]
29.21%
39,854 11.3%
[
29.5%
-
30.0%
]
29.73%
30,387 10.9%
[
30.0%
-
30.5%
]
30.32%
24,090 11.4%
[
30.5%
-
31.0%
]
30.69%
10,151 12.5%
[
31.0%
-
31.5%
]
31.36%
14,338 10.7%
[
31.5%
-
32.0%
]
31.81%
12,854 18.6%
[
32.0%
-
32.5%
]
32.24%
7,380 15.7%
[
32.5%
-
33.0%
]
32.89%
29,536 14.0%
[
33.0%
-
33.5%
]
33.25%
31,320 14.5%
[
33.5%
-
34.0%
]
33.72%
3,900 13.6%
[
34.0%
-
34.5%
]
34.18%
22,875 15.1%
[
34.5%
-
35.0%
]
34.65%
9,363 11.6%
[
35.0%
-
35.5%
]
35.27%
19,236 17.1%
[
35.5%
-
36.0%
]
35.77%
16,261 7.9%
[
36.0%
-
36.5%
]
36.12%
30,820 13.0%
[
36.5%
-
37.0%
]
36.77%
13,308 12.7%
[
37.0%
-
37.5%
]
37.36%
870 27.5%
[
37.5%
-
38.0%
]
37.70%
9,731 20.9%
[
38.0%
-
38.5%
]
38.26%
8,743 13.2%
[
38.5%
-
39.0%
]
38.74%
8,994 22.5%
[
39.0%
-
39.5%
]
39.18%
3,423 25.7%
[
39.5%
-
40.0%
]
39.73%
3,267 13.7%
[
40.0%
-
40.5%
]
40.12%
2,545 7.8%
[
40.5%
-
41.0%
]
40.65%
6,984 29.1%
[
41.0%
-
41.5%
]
41.05%
2,821 28.6%
[
41.5%
-
42.0%
]
41.85%
1,914 39.8%
[
42.0%
-
42.5%
]
42.44%
6,814 17.5%
[
42.5%
-
43.0%
]
42.75%
7,734 13.2%
[
43.0%
-
43.5%
]
43.20%
1,933 20.7%
[
43.5%
-
44.0%
]
43.81%
2,239 22.6%
[
44.0%
-
44.5%
]
44.36%
1,677 8.9%
[
44.5%
-
45.0%
]
44.71%
2,230 16.3%
[
45.0%
-
45.5%
]
45.37%
2,645 11.7%
[
45.5%
-
46.0%
]
45.86%
4,664 14.5%
[
46.0%
-
46.5%
]
46.32%
1,630 27.3%
[
47.0%
-
47.5%
]
47.05%
1,626 5.5%
[
47.5%
-
48.0%
]
47.66%
1,815 16.2%
[
48.0%
-
48.5%
]
48.20%
2,253 23.4%
[
48.5%
-
49.0%
]
48.65%
2,563 15.6%
[
49.0%
-
49.5%
]
49.28%
1,532 10.9%
[
50.0%
-
50.5%
]
50.36%
1,922 7.8%
[
50.5%
-
51.0%
]
50.67%
3,197 12.5%
[
51.0%
-
51.5%
]
51.18%
551 10.3%
[
52.0%
-
52.5%
]
52.20%
1,615 19.6%
[
53.5%
-
54.0%
]
53.72%
2,072 23.3%
[
54.0%
-
54.5%
]
54.12%
2,086 12.4%
[
55.0%
-
55.5%
]
55.47%
2,104 10.0%
[
55.5%
-
56.0%
]
55.53%
407 8.8%
[
61.0%
-
61.5%
]
61.36%
88 14.3%
[
65.5%
-
66.0%
]
65.70%
242 62.5%
[
72.0%
-
72.5%
]
72.04%
279 14.3%