Dutch Female Poverty Among 25-34 Year Olds

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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutch 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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NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Female Poverty Among 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Dutch Female Poverty Among 25-34 Year Olds
Fair

13.8%
POVERTY | FEMALES 25-34
29.7/ 100
METRIC RATING
190th/ 347
METRIC RANK

Dutch Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 534,381,928 people shows a weak negative correlation between the proportion of Dutch and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.217 and weighted average of 13.8%. On average, for every 1% (one percent) increase in Dutch within a typical geography, there is a decrease of 0.12% in poverty level among females between the ages 25 and 34.
Dutch Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Dutch 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 Dutch 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 Dutch 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 Dutch by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Dutch are Immigrants from St. Vincent and the Grenadines (13.8%, a difference of 0.040%), Tlingit-Haida (13.8%, a difference of 0.16%), Immigrants from Kenya (13.8%, a difference of 0.17%), Finnish (13.7%, a difference of 0.26%), and Immigrants from Eritrea (13.7%, a difference of 0.28%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
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%
Immigrants from Eritrea
32.7
/100
|
#188
Fair
13.7%
Finns
32.5
/100
|
#189
Fair
13.7%
Dutch
29.7
/100
|
#190
Fair
13.8%
Immigrants from St. Vincent and the Grenadines
29.3
/100
|
#191
Fair
13.8%
Tlingit-Haida
28.1
/100
|
#192
Fair
13.8%
Immigrants from Kenya
28.0
/100
|
#193
Fair
13.8%
Moroccans
25.1
/100
|
#194
Fair
13.8%
Immigrants from Cambodia
24.0
/100
|
#195
Fair
13.9%
Scottish
23.6
/100
|
#196
Fair
13.9%
Immigrants from Saudi Arabia
21.9
/100
|
#197
Fair
13.9%

Dutch Female Poverty Among 25-34 Year Olds Correlation Summary

Measurement Dutch Data Female Poverty Among 25-34 Year Olds Data
Minimum 0.27% 0.50%
Maximum 63.4% 66.7%
Range 63.2% 66.2%
Mean 24.0% 13.2%
Median 22.0% 12.7%
Interquartile 25% (IQ1) 11.1% 7.9%
Interquartile 75% (IQ3) 35.5% 16.7%
Interquartile Range (IQR) 24.4% 8.8%
Standard Deviation (Sample) 15.8% 8.9%
Standard Deviation (Population) 15.7% 8.9%

Correlation Details

Dutch Percentile Sample Size Female Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.27%
188,811,925 16.8%
[
0.5%
-
1.0%
]
0.74%
168,476,332 13.9%
[
1.0%
-
1.5%
]
1.22%
94,318,831 12.9%
[
1.5%
-
2.0%
]
1.72%
40,074,379 12.9%
[
2.0%
-
2.5%
]
2.23%
17,827,373 13.2%
[
2.5%
-
3.0%
]
2.71%
8,803,474 14.1%
[
3.0%
-
3.5%
]
3.23%
4,678,321 14.0%
[
3.5%
-
4.0%
]
3.73%
2,603,014 15.5%
[
4.0%
-
4.5%
]
4.22%
1,613,224 16.2%
[
4.5%
-
5.0%
]
4.75%
1,097,727 15.8%
[
5.0%
-
5.5%
]
5.24%
775,436 17.0%
[
5.5%
-
6.0%
]
5.77%
694,127 15.9%
[
6.0%
-
6.5%
]
6.17%
519,847 16.7%
[
6.5%
-
7.0%
]
6.71%
331,632 17.5%
[
7.0%
-
7.5%
]
7.22%
274,137 19.4%
[
7.5%
-
8.0%
]
7.69%
274,941 16.9%
[
8.0%
-
8.5%
]
8.24%
231,246 15.8%
[
8.5%
-
9.0%
]
8.79%
281,780 12.3%
[
9.0%
-
9.5%
]
9.25%
225,506 13.2%
[
9.5%
-
10.0%
]
9.73%
116,502 18.9%
[
10.0%
-
10.5%
]
10.26%
173,746 18.0%
[
10.5%
-
11.0%
]
10.80%
109,280 18.9%
[
11.0%
-
11.5%
]
11.40%
90,768 16.0%
[
11.5%
-
12.0%
]
11.78%
59,082 15.6%
[
12.0%
-
12.5%
]
12.19%
249,224 16.7%
[
12.5%
-
13.0%
]
12.81%
98,530 15.5%
[
13.0%
-
13.5%
]
13.40%
79,976 13.2%
[
13.5%
-
14.0%
]
13.78%
75,561 16.1%
[
14.0%
-
14.5%
]
14.17%
56,807 10.4%
[
14.5%
-
15.0%
]
14.76%
100,428 13.1%
[
15.0%
-
15.5%
]
15.41%
37,076 20.4%
[
15.5%
-
16.0%
]
15.83%
162,380 12.0%
[
16.0%
-
16.5%
]
16.23%
174,921 9.6%
[
16.5%
-
17.0%
]
16.82%
10,779 19.4%
[
17.0%
-
17.5%
]
17.20%
55,220 11.5%
[
17.5%
-
18.0%
]
17.81%
74,096 9.7%
[
18.0%
-
18.5%
]
18.07%
44,659 9.3%
[
18.5%
-
19.0%
]
18.75%
28,726 8.0%
[
19.0%
-
19.5%
]
19.37%
63,576 8.3%
[
19.5%
-
20.0%
]
19.56%
16,660 3.4%
[
20.0%
-
20.5%
]
20.21%
6,097 9.9%
[
20.5%
-
21.0%
]
20.76%
6,811 2.0%
[
21.0%
-
21.5%
]
21.22%
5,028 16.9%
[
21.5%
-
22.0%
]
21.62%
3,025 4.2%
[
22.0%
-
22.5%
]
22.33%
36,881 5.8%
[
22.5%
-
23.0%
]
22.65%
82,179 10.2%
[
23.0%
-
23.5%
]
23.34%
4,781 25.0%
[
23.5%
-
24.0%
]
23.76%
14,601 15.7%
[
24.0%
-
24.5%
]
24.23%
49,150 11.5%
[
24.5%
-
25.0%
]
24.56%
855 36.5%
[
25.0%
-
25.5%
]
25.48%
31,749 12.3%
[
25.5%
-
26.0%
]
25.76%
1,646 12.6%
[
26.0%
-
26.5%
]
26.25%
4,967 11.5%
[
26.5%
-
27.0%
]
26.66%
27,666 6.9%
[
27.0%
-
27.5%
]
27.41%
20,715 2.3%
[
27.5%
-
28.0%
]
27.63%
4,597 10.3%
[
28.0%
-
28.5%
]
28.34%
1,835 14.4%
[
28.5%
-
29.0%
]
28.73%
63,301 11.4%
[
29.0%
-
29.5%
]
29.27%
16,393 4.7%
[
30.0%
-
30.5%
]
30.43%
6,598 31.8%
[
31.0%
-
31.5%
]
31.36%
5,108 11.2%
[
31.5%
-
32.0%
]
31.81%
6,278 34.3%
[
32.0%
-
32.5%
]
32.30%
1,780 18.2%
[
32.5%
-
33.0%
]
32.68%
1,536 20.3%
[
34.0%
-
34.5%
]
34.00%
550 66.7%
[
35.0%
-
35.5%
]
35.27%
879 4.6%
[
35.5%
-
36.0%
]
35.72%
4,815 0.50%
[
36.0%
-
36.5%
]
36.06%
27,909 7.1%
[
36.5%
-
37.0%
]
36.62%
923 8.6%
[
39.0%
-
39.5%
]
39.36%
719 22.9%
[
40.0%
-
40.5%
]
40.08%
17,314 3.5%
[
40.5%
-
41.0%
]
40.54%
30,231 3.2%
[
41.0%
-
41.5%
]
41.12%
40,410 3.7%
[
41.5%
-
42.0%
]
41.68%
4,045 6.5%
[
43.0%
-
43.5%
]
43.15%
7,633 9.9%
[
44.5%
-
45.0%
]
44.78%
8,483 5.5%
[
45.0%
-
45.5%
]
45.08%
4,887 6.1%
[
46.0%
-
46.5%
]
46.15%
2,340 11.2%
[
46.5%
-
47.0%
]
46.65%
1,629 2.6%
[
47.5%
-
48.0%
]
47.85%
1,421 20.8%
[
48.5%
-
49.0%
]
48.68%
7,130 3.6%
[
49.5%
-
50.0%
]
49.87%
1,179 18.0%
[
50.0%
-
50.5%
]
50.22%
19,798 6.1%
[
52.5%
-
53.0%
]
52.62%
515 8.1%
[
53.0%
-
53.5%
]
53.12%
642 7.9%
[
54.0%
-
54.5%
]
54.14%
2,063 1.2%
[
56.5%
-
57.0%
]
56.52%
575 5.7%
[
63.0%
-
63.5%
]
63.44%
1,012 12.7%