Malaysian Female Poverty

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Malaysian
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
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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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalteseMarshalleseMenomineeMexicanMexican 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
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
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Malaysian Female Poverty
Tragic

14.3%
POVERTY | FEMALES
7.4/ 100
METRIC RATING
210th/ 347
METRIC RANK

Malaysian Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 225,983,571 people shows a poor negative correlation between the proportion of Malaysians and poverty level among females in the United States with a correlation coefficient (R) of -0.162 and weighted average of 14.3%. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is a decrease of 0.25% in poverty level among females.
Malaysian Female Poverty
It is essential to understand that the correlation between the percentage of Malaysians and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Malaysians influences an upward or downward trend in the level of poverty level among females within an area, or if Malaysians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Malaysians by Female Poverty

In terms of female poverty, the demographic groups most similar to Malaysians are Panamanian (14.2%, a difference of 0.080%), Moroccan (14.3%, a difference of 0.080%), Immigrants from the Azores (14.2%, a difference of 0.15%), Immigrants from Eastern Africa (14.2%, a difference of 0.49%), and Bermudan (14.4%, a difference of 0.72%).
DemographicsRating | RankFemale Poverty
Immigrants from Western Asia
20.7
/100
|
#203
Fair
13.9%
Spaniards
18.9
/100
|
#204
Poor
13.9%
Ugandans
15.4
/100
|
#205
Poor
14.0%
Immigrants from Uruguay
14.0
/100
|
#206
Poor
14.0%
Immigrants from Eastern Africa
9.0
/100
|
#207
Tragic
14.2%
Immigrants from the Azores
7.9
/100
|
#208
Tragic
14.2%
Panamanians
7.7
/100
|
#209
Tragic
14.2%
Malaysians
7.4
/100
|
#210
Tragic
14.3%
Moroccans
7.2
/100
|
#211
Tragic
14.3%
Bermudans
5.5
/100
|
#212
Tragic
14.4%
Alaskan Athabascans
5.3
/100
|
#213
Tragic
14.4%
Marshallese
5.0
/100
|
#214
Tragic
14.4%
Immigrants from Panama
4.7
/100
|
#215
Tragic
14.4%
Immigrants from Thailand
4.5
/100
|
#216
Tragic
14.4%
Immigrants
4.5
/100
|
#217
Tragic
14.4%

Malaysian Female Poverty Correlation Summary

Measurement Malaysian Data Female Poverty Data
Minimum 0.044% 1.5%
Maximum 23.0% 38.2%
Range 23.0% 36.7%
Mean 6.1% 15.2%
Median 4.8% 14.8%
Interquartile 25% (IQ1) 2.3% 11.0%
Interquartile 75% (IQ3) 9.0% 18.7%
Interquartile Range (IQR) 6.7% 7.6%
Standard Deviation (Sample) 5.0% 7.8%
Standard Deviation (Population) 5.0% 7.7%

Correlation Details

Malaysian Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.044%
134,138,849 14.9%
[
0.0%
-
0.5%
]
0.17%
38,941,699 13.5%
[
0.0%
-
0.5%
]
0.28%
19,138,993 12.8%
[
0.0%
-
0.5%
]
0.39%
9,270,619 12.3%
[
0.5%
-
1.0%
]
0.52%
6,689,184 12.7%
[
0.5%
-
1.0%
]
0.64%
3,614,637 13.0%
[
0.5%
-
1.0%
]
0.74%
2,415,084 12.9%
[
0.5%
-
1.0%
]
0.87%
1,941,602 13.6%
[
0.5%
-
1.0%
]
0.97%
2,172,635 14.9%
[
1.0%
-
1.5%
]
1.09%
884,487 14.4%
[
1.0%
-
1.5%
]
1.21%
1,578,390 19.0%
[
1.0%
-
1.5%
]
1.34%
872,983 11.1%
[
1.0%
-
1.5%
]
1.45%
460,054 13.6%
[
1.5%
-
2.0%
]
1.55%
612,695 14.5%
[
1.5%
-
2.0%
]
1.67%
754,994 17.7%
[
1.5%
-
2.0%
]
1.77%
300,959 14.8%
[
1.5%
-
2.0%
]
1.89%
272,589 17.5%
[
2.0%
-
2.5%
]
2.02%
202,170 16.9%
[
2.0%
-
2.5%
]
2.11%
273,549 17.8%
[
2.0%
-
2.5%
]
2.26%
94,545 11.5%
[
2.0%
-
2.5%
]
2.36%
188,385 18.9%
[
2.0%
-
2.5%
]
2.48%
210,482 16.9%
[
2.5%
-
3.0%
]
2.58%
112,120 19.5%
[
2.5%
-
3.0%
]
2.71%
42,764 16.1%
[
2.5%
-
3.0%
]
2.83%
163,649 12.0%
[
2.5%
-
3.0%
]
2.94%
193,467 16.2%
[
3.0%
-
3.5%
]
3.03%
102,188 12.4%
[
3.0%
-
3.5%
]
3.20%
27,756 30.9%
[
3.0%
-
3.5%
]
3.28%
43,282 10.4%
[
3.0%
-
3.5%
]
3.41%
4,012 22.4%
[
3.0%
-
3.5%
]
3.47%
27,020 23.5%
[
3.5%
-
4.0%
]
3.66%
18,104 8.7%
[
3.5%
-
4.0%
]
3.75%
32,829 18.4%
[
3.5%
-
4.0%
]
3.86%
18,516 24.3%
[
3.5%
-
4.0%
]
3.99%
1,706 8.0%
[
4.0%
-
4.5%
]
4.14%
1,955 14.9%
[
4.0%
-
4.5%
]
4.20%
1,857 4.3%
[
4.0%
-
4.5%
]
4.28%
11,587 5.5%
[
4.0%
-
4.5%
]
4.41%
3,927 29.4%
[
4.5%
-
5.0%
]
4.58%
19,389 29.6%
[
4.5%
-
5.0%
]
4.82%
2,262 24.6%
[
4.5%
-
5.0%
]
4.87%
6,511 8.2%
[
5.0%
-
5.5%
]
5.02%
7,674 14.8%
[
5.0%
-
5.5%
]
5.09%
2,063 11.5%
[
5.0%
-
5.5%
]
5.23%
9,569 13.9%
[
5.0%
-
5.5%
]
5.33%
3,993 1.5%
[
5.5%
-
6.0%
]
5.59%
1,826 38.2%
[
5.5%
-
6.0%
]
5.78%
1,316 16.8%
[
5.5%
-
6.0%
]
5.91%
8,788 13.9%
[
6.0%
-
6.5%
]
6.10%
541 3.6%
[
6.0%
-
6.5%
]
6.42%
4,001 17.3%
[
6.5%
-
7.0%
]
6.52%
3,005 26.0%
[
7.0%
-
7.5%
]
7.19%
1,460 2.8%
[
7.0%
-
7.5%
]
7.27%
55 9.7%
[
7.5%
-
8.0%
]
7.63%
22,539 34.9%
[
7.5%
-
8.0%
]
7.79%
578 30.1%
[
7.5%
-
8.0%
]
7.91%
278 20.0%
[
8.0%
-
8.5%
]
8.21%
15,355 17.4%
[
8.0%
-
8.5%
]
8.33%
216 24.8%
[
8.0%
-
8.5%
]
8.44%
2,819 3.9%
[
8.5%
-
9.0%
]
8.85%
610 26.1%
[
9.0%
-
9.5%
]
9.10%
13,838 19.0%
[
9.0%
-
9.5%
]
9.24%
1,407 3.8%
[
9.5%
-
10.0%
]
9.95%
191 15.8%
[
10.0%
-
10.5%
]
10.21%
2,595 17.5%
[
10.0%
-
10.5%
]
10.34%
861 11.0%
[
10.5%
-
11.0%
]
10.54%
389 12.5%
[
10.5%
-
11.0%
]
10.78%
2,207 4.3%
[
10.5%
-
11.0%
]
10.90%
991 12.6%
[
11.0%
-
11.5%
]
11.17%
197 16.2%
[
11.0%
-
11.5%
]
11.49%
87 5.0%
[
13.0%
-
13.5%
]
13.21%
106 14.9%
[
13.5%
-
14.0%
]
13.71%
2,984 26.2%
[
13.5%
-
14.0%
]
13.79%
1,900 18.3%
[
14.0%
-
14.5%
]
14.08%
71 6.8%
[
14.0%
-
14.5%
]
14.47%
1,693 23.6%
[
15.0%
-
15.5%
]
15.46%
679 7.0%
[
16.0%
-
16.5%
]
16.39%
61 7.5%
[
18.0%
-
18.5%
]
18.16%
1,052 2.3%
[
20.0%
-
20.5%
]
20.49%
527 16.7%
[
23.0%
-
23.5%
]
23.05%
564 1.6%