Czech Female Poverty

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Czech
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 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
Immigration
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Race
Ancestry
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
Immigration
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Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Czech Female Poverty
Exceptional

11.9%
POVERTY | FEMALES
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK

Czech Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 484,224,691 people shows a weak negative correlation between the proportion of Czechs and poverty level among females in the United States with a correlation coefficient (R) of -0.229 and weighted average of 11.9%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is a decrease of 0.075% in poverty level among females.
Czech Female Poverty
It is essential to understand that the correlation between the percentage of Czechs and poverty level among females 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 within an area, or if Czechs simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Czechs by Female Poverty

In terms of female poverty, the demographic groups most similar to Czechs are Immigrants from Moldova (11.9%, a difference of 0.0%), Korean (11.9%, a difference of 0.040%), Tongan (11.9%, a difference of 0.11%), Macedonian (11.8%, a difference of 0.18%), and Immigrants from Czechoslovakia (11.9%, a difference of 0.20%).
DemographicsRating | RankFemale Poverty
Immigrants from Singapore
99.4
/100
|
#34
Exceptional
11.8%
Immigrants from Iran
99.4
/100
|
#35
Exceptional
11.8%
Immigrants from Pakistan
99.4
/100
|
#36
Exceptional
11.8%
Immigrants from Greece
99.3
/100
|
#37
Exceptional
11.8%
Russians
99.3
/100
|
#38
Exceptional
11.8%
Immigrants from Poland
99.3
/100
|
#39
Exceptional
11.8%
Macedonians
99.3
/100
|
#40
Exceptional
11.8%
Czechs
99.2
/100
|
#41
Exceptional
11.9%
Immigrants from Moldova
99.2
/100
|
#42
Exceptional
11.9%
Koreans
99.2
/100
|
#43
Exceptional
11.9%
Tongans
99.2
/100
|
#44
Exceptional
11.9%
Immigrants from Czechoslovakia
99.2
/100
|
#45
Exceptional
11.9%
Turks
99.2
/100
|
#46
Exceptional
11.9%
Asians
99.1
/100
|
#47
Exceptional
11.9%
Immigrants from Japan
99.0
/100
|
#48
Exceptional
11.9%

Czech Female Poverty Correlation Summary

Measurement Czech Data Female Poverty Data
Minimum 0.15% 1.4%
Maximum 60.9% 31.4%
Range 60.7% 29.9%
Mean 21.6% 10.5%
Median 19.2% 10.6%
Interquartile 25% (IQ1) 9.6% 8.0%
Interquartile 75% (IQ3) 31.8% 12.3%
Interquartile Range (IQR) 22.3% 4.2%
Standard Deviation (Sample) 14.7% 4.8%
Standard Deviation (Population) 14.7% 4.8%

Correlation Details

Czech Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.15%
277,722,497 14.9%
[
0.0%
-
0.5%
]
0.43%
115,922,975 12.4%
[
0.5%
-
1.0%
]
0.75%
39,332,889 11.1%
[
1.0%
-
1.5%
]
1.06%
19,128,444 10.8%
[
1.0%
-
1.5%
]
1.38%
10,691,818 9.7%
[
1.5%
-
2.0%
]
1.69%
6,472,612 9.9%
[
2.0%
-
2.5%
]
2.00%
4,076,589 10.1%
[
2.0%
-
2.5%
]
2.30%
2,178,332 10.8%
[
2.5%
-
3.0%
]
2.61%
1,643,662 9.9%
[
2.5%
-
3.0%
]
2.93%
1,157,528 11.4%
[
3.0%
-
3.5%
]
3.23%
1,301,359 11.8%
[
3.5%
-
4.0%
]
3.55%
597,694 10.4%
[
3.5%
-
4.0%
]
3.88%
429,723 13.4%
[
4.0%
-
4.5%
]
4.14%
611,509 12.6%
[
4.0%
-
4.5%
]
4.49%
625,981 11.1%
[
4.5%
-
5.0%
]
4.79%
458,401 10.0%
[
5.0%
-
5.5%
]
5.06%
312,575 9.6%
[
5.0%
-
5.5%
]
5.36%
268,511 12.6%
[
5.5%
-
6.0%
]
5.65%
87,947 10.6%
[
5.5%
-
6.0%
]
6.00%
97,065 10.9%
[
6.0%
-
6.5%
]
6.30%
76,551 11.6%
[
6.5%
-
7.0%
]
6.62%
129,322 12.0%
[
6.5%
-
7.0%
]
6.96%
68,047 12.9%
[
7.0%
-
7.5%
]
7.31%
77,207 10.7%
[
7.5%
-
8.0%
]
7.55%
76,490 11.8%
[
7.5%
-
8.0%
]
7.84%
69,043 11.5%
[
8.0%
-
8.5%
]
8.23%
64,366 9.4%
[
8.0%
-
8.5%
]
8.47%
46,449 12.3%
[
8.5%
-
9.0%
]
8.81%
32,062 14.0%
[
9.0%
-
9.5%
]
9.06%
14,607 12.0%
[
9.0%
-
9.5%
]
9.41%
14,359 10.5%
[
9.5%
-
10.0%
]
9.70%
23,118 13.9%
[
9.5%
-
10.0%
]
9.97%
20,770 12.3%
[
10.0%
-
10.5%
]
10.35%
28,200 11.9%
[
10.5%
-
11.0%
]
10.61%
12,006 11.4%
[
10.5%
-
11.0%
]
10.97%
34,983 12.0%
[
11.0%
-
11.5%
]
11.26%
31,503 10.1%
[
11.5%
-
12.0%
]
11.54%
9,944 10.6%
[
11.5%
-
12.0%
]
11.87%
6,817 12.1%
[
12.0%
-
12.5%
]
12.20%
14,378 6.7%
[
12.0%
-
12.5%
]
12.43%
11,631 8.3%
[
12.5%
-
13.0%
]
12.77%
9,577 10.0%
[
13.0%
-
13.5%
]
13.12%
5,715 11.7%
[
13.0%
-
13.5%
]
13.49%
13,500 7.8%
[
13.5%
-
14.0%
]
13.86%
2,049 6.7%
[
13.5%
-
14.0%
]
13.99%
26,728 4.9%
[
14.0%
-
14.5%
]
14.42%
9,903 11.4%
[
14.5%
-
15.0%
]
14.72%
6,190 14.4%
[
15.0%
-
15.5%
]
15.05%
12,567 10.9%
[
15.0%
-
15.5%
]
15.26%
3,782 8.4%
[
15.5%
-
16.0%
]
15.60%
19,674 12.5%
[
15.5%
-
16.0%
]
15.86%
4,060 9.0%
[
16.0%
-
16.5%
]
16.06%
965 14.8%
[
16.0%
-
16.5%
]
16.50%
1,558 22.6%
[
16.5%
-
17.0%
]
16.88%
4,645 10.1%
[
17.0%
-
17.5%
]
17.27%
5,624 12.4%
[
17.0%
-
17.5%
]
17.42%
1,481 6.1%
[
17.5%
-
18.0%
]
17.70%
6,429 6.4%
[
18.0%
-
18.5%
]
18.04%
7,515 12.9%
[
18.0%
-
18.5%
]
18.33%
6,542 13.7%
[
18.5%
-
19.0%
]
18.62%
1,391 10.6%
[
19.0%
-
19.5%
]
19.09%
330 18.6%
[
19.0%
-
19.5%
]
19.30%
2,150 17.2%
[
19.5%
-
20.0%
]
19.56%
1,953 10.5%
[
19.5%
-
20.0%
]
19.94%
321 12.3%
[
20.0%
-
20.5%
]
20.23%
2,027 11.7%
[
20.0%
-
20.5%
]
20.49%
7,086 9.5%
[
20.5%
-
21.0%
]
20.96%
1,546 4.3%
[
21.0%
-
21.5%
]
21.16%
7,901 9.1%
[
21.5%
-
22.0%
]
21.66%
2,105 12.7%
[
22.0%
-
22.5%
]
22.07%
675 10.9%
[
22.0%
-
22.5%
]
22.28%
7,132 9.1%
[
22.5%
-
23.0%
]
22.71%
317 8.0%
[
23.0%
-
23.5%
]
23.10%
1,104 10.9%
[
23.0%
-
23.5%
]
23.29%
73 22.2%
[
23.5%
-
24.0%
]
23.55%
9,037 9.3%
[
24.0%
-
24.5%
]
24.29%
667 12.3%
[
24.5%
-
25.0%
]
24.62%
1,653 13.2%
[
24.5%
-
25.0%
]
24.90%
510 12.3%
[
25.0%
-
25.5%
]
25.22%
4,037 11.1%
[
25.0%
-
25.5%
]
25.37%
134 30.8%
[
25.5%
-
26.0%
]
25.84%
1,676 4.3%
[
26.5%
-
27.0%
]
26.89%
212 4.3%
[
27.0%
-
27.5%
]
27.41%
321 1.4%
[
27.5%
-
28.0%
]
27.72%
2,244 8.8%
[
28.0%
-
28.5%
]
28.40%
514 8.2%
[
28.5%
-
29.0%
]
28.51%
7,766 10.3%
[
29.5%
-
30.0%
]
29.76%
1,929 5.3%
[
30.0%
-
30.5%
]
30.19%
4,942 11.3%
[
30.0%
-
30.5%
]
30.38%
609 31.4%
[
30.5%
-
31.0%
]
30.72%
1,605 11.7%
[
31.0%
-
31.5%
]
31.44%
776 11.5%
[
31.5%
-
32.0%
]
31.65%
79 7.1%
[
32.0%
-
32.5%
]
32.00%
75 2.7%
[
32.5%
-
33.0%
]
32.94%
513 9.0%
[
33.0%
-
33.5%
]
33.33%
183 12.6%
[
33.0%
-
33.5%
]
33.48%
1,643 18.6%
[
33.5%
-
34.0%
]
33.71%
5,443 9.5%
[
34.0%
-
34.5%
]
34.17%
120 5.8%
[
34.0%
-
34.5%
]
34.31%
204 2.0%
[
35.5%
-
36.0%
]
35.60%
663 6.3%
[
35.5%
-
36.0%
]
35.97%
620 5.1%
[
37.0%
-
37.5%
]
37.03%
1,345 5.6%
[
37.0%
-
37.5%
]
37.45%
275 5.1%
[
39.0%
-
39.5%
]
39.14%
350 8.1%
[
39.5%
-
40.0%
]
39.83%
118 10.1%
[
39.5%
-
40.0%
]
39.95%
2,095 7.2%
[
40.5%
-
41.0%
]
40.59%
2,237 4.1%
[
40.5%
-
41.0%
]
40.87%
115 19.6%
[
42.0%
-
42.5%
]
42.07%
290 4.9%
[
42.5%
-
43.0%
]
42.79%
215 20.2%
[
43.5%
-
44.0%
]
43.86%
342 5.1%
[
45.0%
-
45.5%
]
45.29%
616 7.4%
[
45.5%
-
46.0%
]
45.63%
458 8.1%
[
45.5%
-
46.0%
]
45.90%
427 7.8%
[
46.5%
-
47.0%
]
46.81%
376 8.4%
[
48.0%
-
48.5%
]
48.06%
697 21.8%
[
48.0%
-
48.5%
]
48.25%
342 2.3%
[
48.0%
-
48.5%
]
48.49%
365 2.2%
[
49.5%
-
50.0%
]
49.54%
109 12.0%
[
52.5%
-
53.0%
]
52.57%
253 5.5%
[
55.0%
-
55.5%
]
55.28%
123 2.4%
[
56.0%
-
56.5%
]
56.39%
454 12.1%
[
60.5%
-
61.0%
]
60.90%
335 3.1%