Immigrants from South Eastern Asia Female Poverty

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Immigrants from South Eastern Asia
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 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central 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

Immigrants from South Eastern Asia Female Poverty
Excellent

12.7%
POVERTY | FEMALES
89.9/ 100
METRIC RATING
123rd/ 347
METRIC RANK

Immigrants from South Eastern Asia Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 512,071,275 people shows a moderate positive correlation between the proportion of Immigrants from South Eastern Asia and poverty level among females in the United States with a correlation coefficient (R) of 0.419 and weighted average of 12.7%. On average, for every 1% (one percent) increase in Immigrants from South Eastern Asia within a typical geography, there is an increase of 0.22% in poverty level among females.
Immigrants from South Eastern Asia Female Poverty
It is essential to understand that the correlation between the percentage of Immigrants from South Eastern Asia and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from South Eastern Asia influences an upward or downward trend in the level of poverty level among females within an area, or if Immigrants from South Eastern Asia simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Immigrants from South Eastern Asia by Female Poverty

In terms of female poverty, the demographic groups most similar to Immigrants from South Eastern Asia are French Canadian (12.7%, a difference of 0.070%), Immigrants from Hungary (12.7%, a difference of 0.10%), Immigrants from Norway (12.8%, a difference of 0.18%), New Zealander (12.7%, a difference of 0.21%), and Argentinean (12.8%, a difference of 0.23%).
DemographicsRating | RankFemale Poverty
Immigrants from Russia
91.2
/100
|
#116
Exceptional
12.7%
Immigrants from Southern Europe
90.9
/100
|
#117
Exceptional
12.7%
Sri Lankans
90.9
/100
|
#118
Exceptional
12.7%
Albanians
90.8
/100
|
#119
Exceptional
12.7%
New Zealanders
90.6
/100
|
#120
Exceptional
12.7%
Immigrants from Hungary
90.3
/100
|
#121
Exceptional
12.7%
French Canadians
90.2
/100
|
#122
Exceptional
12.7%
Immigrants from South Eastern Asia
89.9
/100
|
#123
Excellent
12.7%
Immigrants from Norway
89.3
/100
|
#124
Excellent
12.8%
Argentineans
89.1
/100
|
#125
Excellent
12.8%
Immigrants from Ukraine
88.8
/100
|
#126
Excellent
12.8%
South Africans
88.4
/100
|
#127
Excellent
12.8%
Immigrants from Belarus
88.2
/100
|
#128
Excellent
12.8%
Immigrants from Brazil
87.9
/100
|
#129
Excellent
12.8%
Immigrants from Vietnam
87.1
/100
|
#130
Excellent
12.8%

Immigrants from South Eastern Asia Female Poverty Correlation Summary

MeasurementImmigrants from South Eastern Asia DataFemale Poverty Data
Minimum0.25%5.8%
Maximum67.3%62.5%
Range67.1%56.7%
Mean19.7%13.4%
Median17.9%12.2%
Interquartile 25% (IQ1)9.0%10.6%
Interquartile 75% (IQ3)27.4%14.0%
Interquartile Range (IQR)18.4%3.4%
Standard Deviation (Sample)14.3%7.4%
Standard Deviation (Population)14.2%7.3%

Correlation Details

Immigrants from South Eastern Asia PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.25%
171,224,66515.7%
[
0.5%
-
1.0%
]
0.73%
118,628,62013.4%
[
1.0%
-
1.5%
]
1.23%
74,027,25713.5%
[
1.5%
-
2.0%
]
1.73%
39,056,75413.8%
[
2.0%
-
2.5%
]
2.22%
23,519,80411.7%
[
2.5%
-
3.0%
]
2.75%
17,137,30811.4%
[
3.0%
-
3.5%
]
3.24%
17,004,03813.5%
[
3.5%
-
4.0%
]
3.74%
8,420,44512.4%
[
4.0%
-
4.5%
]
4.25%
6,838,50712.0%
[
4.5%
-
5.0%
]
4.73%
5,113,45211.1%
[
5.0%
-
5.5%
]
5.23%
4,132,51311.5%
[
5.5%
-
6.0%
]
5.75%
4,629,36513.4%
[
6.0%
-
6.5%
]
6.26%
1,945,24714.0%
[
6.5%
-
7.0%
]
6.72%
3,117,85611.6%
[
7.0%
-
7.5%
]
7.25%
1,595,15914.2%
[
7.5%
-
8.0%
]
7.70%
2,459,75912.6%
[
8.0%
-
8.5%
]
8.20%
1,545,43911.7%
[
8.5%
-
9.0%
]
8.75%
734,00810.6%
[
9.0%
-
9.5%
]
9.22%
1,073,39212.0%
[
9.5%
-
10.0%
]
9.72%
1,331,26610.4%
[
10.0%
-
10.5%
]
10.30%
483,88314.2%
[
10.5%
-
11.0%
]
10.70%
1,129,09612.3%
[
11.0%
-
11.5%
]
11.19%
682,64314.8%
[
11.5%
-
12.0%
]
11.68%
466,45411.7%
[
12.0%
-
12.5%
]
12.21%
1,339,32710.5%
[
12.5%
-
13.0%
]
12.71%
391,46912.3%
[
13.0%
-
13.5%
]
13.14%
169,84310.4%
[
13.5%
-
14.0%
]
13.74%
419,62610.9%
[
14.0%
-
14.5%
]
14.24%
54,50115.5%
[
14.5%
-
15.0%
]
14.82%
368,37911.1%
[
15.0%
-
15.5%
]
15.19%
297,02512.1%
[
15.5%
-
16.0%
]
15.67%
69,17816.0%
[
16.0%
-
16.5%
]
16.36%
381,50711.1%
[
16.5%
-
17.0%
]
16.75%
343,90711.2%
[
17.0%
-
17.5%
]
17.20%
72,9549.7%
[
17.5%
-
18.0%
]
17.57%
39,63013.7%
[
18.0%
-
18.5%
]
18.19%
1,12714.9%
[
18.5%
-
19.0%
]
18.91%
101,31610.9%
[
19.0%
-
19.5%
]
19.06%
81,1806.9%
[
19.5%
-
20.0%
]
19.90%
14,59711.7%
[
20.0%
-
20.5%
]
20.18%
3,00312.4%
[
20.5%
-
21.0%
]
20.83%
115,22410.7%
[
21.0%
-
21.5%
]
21.10%
84,81714.1%
[
22.0%
-
22.5%
]
22.20%
140,6029.4%
[
22.5%
-
23.0%
]
22.65%
106,0659.7%
[
23.0%
-
23.5%
]
23.16%
3,80015.9%
[
23.5%
-
24.0%
]
23.62%
110,45312.0%
[
24.0%
-
24.5%
]
24.26%
163,9069.0%
[
24.5%
-
25.0%
]
24.61%
65,3498.0%
[
25.0%
-
25.5%
]
25.36%
213,85212.7%
[
25.5%
-
26.0%
]
25.62%
25,9025.8%
[
26.0%
-
26.5%
]
26.34%
52,32813.3%
[
26.5%
-
27.0%
]
26.65%
72,6059.5%
[
27.0%
-
27.5%
]
27.24%
16,4576.8%
[
27.5%
-
28.0%
]
27.55%
47,9827.9%
[
28.0%
-
28.5%
]
28.18%
4015.8%
[
28.5%
-
29.0%
]
28.71%
99613.0%
[
29.0%
-
29.5%
]
29.40%
40,73816.0%
[
29.5%
-
30.0%
]
29.88%
17,53316.5%
[
30.5%
-
31.0%
]
30.72%
47,54915.7%
[
31.0%
-
31.5%
]
31.24%
36,6579.0%
[
31.5%
-
32.0%
]
31.73%
37532.9%
[
32.0%
-
32.5%
]
32.23%
181,26816.9%
[
32.5%
-
33.0%
]
32.90%
92133.5%
[
33.5%
-
34.0%
]
33.96%
9,1609.5%
[
34.0%
-
34.5%
]
34.06%
22,62219.0%
[
34.5%
-
35.0%
]
34.76%
39,87312.8%
[
36.5%
-
37.0%
]
36.78%
4,3427.5%
[
49.5%
-
50.0%
]
49.87%
76613.2%
[
59.5%
-
60.0%
]
59.57%
18820.6%
[
66.5%
-
67.0%
]
66.69%
2,99613.8%
[
67.0%
-
67.5%
]
67.35%
4962.5%