Czech Female Poverty Among 18-24 Year Olds

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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechoslovakianDanishDelawareDominicanDutchDutch 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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Female Poverty Among 18-24 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Czech Female Poverty Among 18-24 Year Olds
Fair

20.4%
POVERTY | FEMALES 18-24
22.3/ 100
METRIC RATING
196th/ 347
METRIC RANK

Czech Female Poverty Among 18-24 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 464,095,157 people shows a substantial positive correlation between the proportion of Czechs and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.511 and weighted average of 20.4%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 1.1% in poverty level among females between the ages 18 and 24.
Czech Female Poverty Among 18-24 Year Olds
It is essential to understand that the correlation between the percentage of Czechs and poverty level among females between the ages 18 and 24 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 females between the ages 18 and 24 within an area, or if Czechs simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 18 and 24 due to other factors.

Demographics Similar to Czechs by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Czechs are Immigrants from Latvia (20.4%, a difference of 0.050%), Mexican American Indian (20.4%, a difference of 0.060%), Nigerian (20.4%, a difference of 0.070%), Zimbabwean (20.4%, a difference of 0.090%), and Immigrants from Spain (20.4%, a difference of 0.12%).
DemographicsRating | RankFemale Poverty Among 18-24 Year Olds
Immigrants from Germany
34.0
/100
|
#189
Fair
20.3%
Immigrants from Western Asia
29.3
/100
|
#190
Fair
20.3%
Moroccans
25.8
/100
|
#191
Fair
20.4%
Immigrants from Israel
24.4
/100
|
#192
Fair
20.4%
Nigerians
23.4
/100
|
#193
Fair
20.4%
Mexican American Indians
23.2
/100
|
#194
Fair
20.4%
Immigrants from Latvia
23.0
/100
|
#195
Fair
20.4%
Czechs
22.3
/100
|
#196
Fair
20.4%
Zimbabweans
21.0
/100
|
#197
Fair
20.4%
Immigrants from Spain
20.7
/100
|
#198
Fair
20.4%
Germans
20.6
/100
|
#199
Fair
20.4%
Europeans
19.9
/100
|
#200
Poor
20.4%
Mexicans
18.3
/100
|
#201
Poor
20.5%
Immigrants from Turkey
17.7
/100
|
#202
Poor
20.5%
Immigrants from Malaysia
17.2
/100
|
#203
Poor
20.5%

Czech Female Poverty Among 18-24 Year Olds Correlation Summary

MeasurementCzech DataFemale Poverty Among 18-24 Year Olds Data
Minimum0.15%3.4%
Maximum56.4%100.0%
Range56.2%96.6%
Mean15.6%33.8%
Median13.5%25.4%
Interquartile 25% (IQ1)6.6%19.5%
Interquartile 75% (IQ3)21.7%38.8%
Interquartile Range (IQR)15.1%19.3%
Standard Deviation (Sample)11.5%24.6%
Standard Deviation (Population)11.4%24.4%

Correlation Details

Czech PercentileSample SizeFemale Poverty Among 18-24 Year Olds
[
0.0%
-
0.5%
]
0.15%
270,926,09220.5%
[
0.0%
-
0.5%
]
0.43%
110,711,55020.3%
[
0.5%
-
1.0%
]
0.75%
36,614,69420.0%
[
1.0%
-
1.5%
]
1.06%
17,586,97720.3%
[
1.0%
-
1.5%
]
1.38%
9,643,70818.0%
[
1.5%
-
2.0%
]
1.69%
5,796,69718.8%
[
2.0%
-
2.5%
]
2.00%
3,632,96319.5%
[
2.0%
-
2.5%
]
2.29%
1,879,97320.5%
[
2.5%
-
3.0%
]
2.61%
1,370,33919.9%
[
2.5%
-
3.0%
]
2.92%
987,79923.5%
[
3.0%
-
3.5%
]
3.23%
1,173,22322.7%
[
3.5%
-
4.0%
]
3.55%
483,06820.9%
[
3.5%
-
4.0%
]
3.89%
338,26725.4%
[
4.0%
-
4.5%
]
4.13%
543,18029.0%
[
4.0%
-
4.5%
]
4.49%
566,06523.4%
[
4.5%
-
5.0%
]
4.79%
421,21818.5%
[
5.0%
-
5.5%
]
5.06%
272,71717.9%
[
5.0%
-
5.5%
]
5.36%
220,64222.3%
[
5.5%
-
6.0%
]
5.64%
74,21122.4%
[
5.5%
-
6.0%
]
5.99%
61,86228.0%
[
6.0%
-
6.5%
]
6.29%
56,54925.9%
[
6.5%
-
7.0%
]
6.62%
117,55319.6%
[
6.5%
-
7.0%
]
6.95%
54,88722.9%
[
7.0%
-
7.5%
]
7.32%
60,48118.2%
[
7.5%
-
8.0%
]
7.55%
51,69321.5%
[
7.5%
-
8.0%
]
7.83%
45,70827.5%
[
8.0%
-
8.5%
]
8.24%
52,09018.1%
[
8.0%
-
8.5%
]
8.46%
35,79224.4%
[
8.5%
-
9.0%
]
8.80%
25,66928.6%
[
9.0%
-
9.5%
]
9.06%
6,69826.1%
[
9.0%
-
9.5%
]
9.40%
11,73426.0%
[
9.5%
-
10.0%
]
9.71%
15,59430.5%
[
9.5%
-
10.0%
]
9.96%
13,99217.0%
[
10.0%
-
10.5%
]
10.37%
17,72531.2%
[
10.5%
-
11.0%
]
10.60%
3,36838.8%
[
10.5%
-
11.0%
]
10.97%
33,41618.2%
[
11.0%
-
11.5%
]
11.28%
19,73212.2%
[
11.5%
-
12.0%
]
11.59%
2,83834.1%
[
11.5%
-
12.0%
]
11.86%
5,60117.7%
[
12.0%
-
12.5%
]
12.16%
6,61430.4%
[
12.5%
-
13.0%
]
12.55%
1,79343.1%
[
12.5%
-
13.0%
]
12.78%
4,88231.5%
[
13.0%
-
13.5%
]
13.13%
3,25930.6%
[
13.0%
-
13.5%
]
13.48%
9,8367.7%
[
13.5%
-
14.0%
]
13.86%
30366.7%
[
13.5%
-
14.0%
]
13.97%
21,7053.4%
[
14.0%
-
14.5%
]
14.40%
5,93123.5%
[
14.5%
-
15.0%
]
14.75%
5,03119.2%
[
15.0%
-
15.5%
]
15.05%
11,35524.7%
[
15.0%
-
15.5%
]
15.30%
1,68627.3%
[
15.5%
-
16.0%
]
15.59%
15,57525.4%
[
15.5%
-
16.0%
]
15.84%
1,14940.3%
[
16.5%
-
17.0%
]
16.87%
3,11210.9%
[
17.0%
-
17.5%
]
17.28%
5,1698.8%
[
17.0%
-
17.5%
]
17.36%
47828.6%
[
17.5%
-
18.0%
]
17.63%
1,65628.4%
[
18.0%
-
18.5%
]
18.05%
4,70428.8%
[
18.0%
-
18.5%
]
18.46%
1,235100.0%
[
18.5%
-
19.0%
]
18.60%
34450.0%
[
19.0%
-
19.5%
]
19.13%
115100.0%
[
19.0%
-
19.5%
]
19.30%
2,15055.8%
[
20.0%
-
20.5%
]
20.23%
1,47829.4%
[
20.0%
-
20.5%
]
20.47%
3,81610.8%
[
20.5%
-
21.0%
]
20.97%
51516.7%
[
21.0%
-
21.5%
]
21.15%
4,83231.4%
[
21.5%
-
22.0%
]
21.74%
13845.5%
[
22.0%
-
22.5%
]
22.27%
5,65330.8%
[
23.0%
-
23.5%
]
23.11%
965100.0%
[
23.5%
-
24.0%
]
23.55%
7,91113.1%
[
24.0%
-
24.5%
]
24.12%
170100.0%
[
24.5%
-
25.0%
]
24.62%
1,33259.9%
[
25.0%
-
25.5%
]
25.25%
59050.0%
[
27.5%
-
28.0%
]
27.72%
2,24426.2%
[
28.5%
-
29.0%
]
28.52%
6,31521.4%
[
29.5%
-
30.0%
]
29.76%
1,86544.5%
[
30.0%
-
30.5%
]
30.00%
70073.9%
[
30.0%
-
30.5%
]
30.38%
60979.2%
[
30.5%
-
31.0%
]
30.79%
90611.8%
[
31.0%
-
31.5%
]
31.50%
254100.0%
[
33.0%
-
33.5%
]
33.33%
10253.8%
[
33.0%
-
33.5%
]
33.48%
1,6438.3%
[
33.5%
-
34.0%
]
33.71%
5,44321.9%
[
39.0%
-
39.5%
]
39.14%
35060.0%
[
39.5%
-
40.0%
]
39.95%
2,09513.6%
[
40.5%
-
41.0%
]
40.87%
115100.0%
[
42.5%
-
43.0%
]
42.79%
215100.0%
[
56.0%
-
56.5%
]
56.39%
45464.7%