Indian (Asian) Female Poverty Among 18-24 Year Olds

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Indian (Asian)
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 Among 18-24 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Indian (Asian) Female Poverty Among 18-24 Year Olds
Excellent

19.6%
POVERTY | FEMALES 18-24
88.3/ 100
METRIC RATING
139th/ 347
METRIC RANK

Indian (Asian) Female Poverty Among 18-24 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 476,846,332 people shows a mild negative correlation between the proportion of Indians (Asian) and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.306 and weighted average of 19.6%. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.15% in poverty level among females between the ages 18 and 24.
Indian (Asian) Female Poverty Among 18-24 Year Olds
It is essential to understand that the correlation between the percentage of Indians (Asian) 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 Indians (Asian) 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 Indians (Asian) 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 Indians (Asian) by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Indians (Asian) are Immigrants from Morocco (19.6%, a difference of 0.20%), Immigrants from Trinidad and Tobago (19.7%, a difference of 0.30%), Pennsylvania German (19.7%, a difference of 0.31%), Austrian (19.5%, a difference of 0.32%), and Panamanian (19.7%, a difference of 0.41%).
DemographicsRating | RankFemale Poverty Among 18-24 Year Olds
Jamaicans
92.1
/100
|
#132
Exceptional
19.5%
Turks
92.1
/100
|
#133
Exceptional
19.5%
Immigrants from North America
92.1
/100
|
#134
Exceptional
19.5%
Soviet Union
92.0
/100
|
#135
Exceptional
19.5%
Russians
91.5
/100
|
#136
Exceptional
19.5%
Austrians
90.7
/100
|
#137
Exceptional
19.5%
Immigrants from Morocco
89.9
/100
|
#138
Excellent
19.6%
Indians (Asian)
88.3
/100
|
#139
Excellent
19.6%
Immigrants from Trinidad and Tobago
85.6
/100
|
#140
Excellent
19.7%
Pennsylvania Germans
85.5
/100
|
#141
Excellent
19.7%
Panamanians
84.6
/100
|
#142
Excellent
19.7%
Slavs
84.4
/100
|
#143
Excellent
19.7%
Immigrants from Northern Africa
84.1
/100
|
#144
Excellent
19.7%
Canadians
83.8
/100
|
#145
Excellent
19.7%
Immigrants from Bosnia and Herzegovina
83.6
/100
|
#146
Excellent
19.7%

Indian (Asian) Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement Indian (Asian) Data Female Poverty Among 18-24 Year Olds Data
Minimum 0.19% 2.0%
Maximum 58.7% 44.1%
Range 58.5% 42.1%
Mean 22.2% 17.1%
Median 20.7% 17.4%
Interquartile 25% (IQ1) 10.3% 12.3%
Interquartile 75% (IQ3) 32.1% 21.4%
Interquartile Range (IQR) 21.8% 9.1%
Standard Deviation (Sample) 14.2% 6.8%
Standard Deviation (Population) 14.2% 6.8%

Correlation Details

Indian (Asian) Percentile Sample Size Female Poverty Among 18-24 Year Olds
[
0.0%
-
0.5%
]
0.19%
135,336,673 21.2%
[
0.5%
-
1.0%
]
0.57%
104,523,313 20.5%
[
0.5%
-
1.0%
]
0.95%
60,587,615 19.9%
[
1.0%
-
1.5%
]
1.34%
34,755,317 20.3%
[
1.5%
-
2.0%
]
1.72%
24,782,163 17.9%
[
2.0%
-
2.5%
]
2.11%
16,758,180 19.6%
[
2.5%
-
3.0%
]
2.51%
17,499,264 21.2%
[
2.5%
-
3.0%
]
2.91%
11,066,835 20.8%
[
3.0%
-
3.5%
]
3.29%
6,494,794 21.8%
[
3.5%
-
4.0%
]
3.67%
5,731,346 18.2%
[
4.0%
-
4.5%
]
4.09%
5,662,727 21.5%
[
4.0%
-
4.5%
]
4.48%
3,256,682 19.9%
[
4.5%
-
5.0%
]
4.83%
3,164,076 18.8%
[
5.0%
-
5.5%
]
5.21%
3,879,655 24.4%
[
5.5%
-
6.0%
]
5.64%
2,260,683 17.6%
[
5.5%
-
6.0%
]
6.00%
2,007,386 22.0%
[
6.0%
-
6.5%
]
6.42%
1,562,659 19.3%
[
6.5%
-
7.0%
]
6.76%
1,755,453 19.3%
[
7.0%
-
7.5%
]
7.25%
10,817,778 23.7%
[
7.5%
-
8.0%
]
7.61%
1,022,779 22.3%
[
7.5%
-
8.0%
]
7.94%
1,203,000 21.9%
[
8.0%
-
8.5%
]
8.35%
1,257,686 21.3%
[
8.5%
-
9.0%
]
8.71%
1,847,043 19.1%
[
9.0%
-
9.5%
]
9.15%
665,287 15.5%
[
9.5%
-
10.0%
]
9.51%
721,822 19.1%
[
9.5%
-
10.0%
]
9.99%
1,421,325 15.2%
[
10.0%
-
10.5%
]
10.31%
377,491 10.8%
[
10.5%
-
11.0%
]
10.62%
401,984 25.3%
[
11.0%
-
11.5%
]
11.04%
667,225 25.4%
[
11.0%
-
11.5%
]
11.44%
549,398 20.0%
[
11.5%
-
12.0%
]
11.85%
711,067 22.2%
[
12.0%
-
12.5%
]
12.19%
742,180 9.5%
[
12.5%
-
13.0%
]
12.63%
642,510 11.9%
[
13.0%
-
13.5%
]
13.00%
420,138 14.0%
[
13.0%
-
13.5%
]
13.41%
205,878 23.5%
[
13.5%
-
14.0%
]
13.82%
326,741 28.5%
[
14.0%
-
14.5%
]
14.09%
551,399 23.6%
[
14.5%
-
15.0%
]
14.60%
191,812 8.8%
[
14.5%
-
15.0%
]
14.93%
463,947 11.0%
[
15.0%
-
15.5%
]
15.27%
731,358 18.3%
[
15.5%
-
16.0%
]
15.71%
454,825 15.3%
[
16.0%
-
16.5%
]
16.08%
273,786 16.4%
[
16.0%
-
16.5%
]
16.40%
515,007 17.5%
[
16.5%
-
17.0%
]
16.89%
414,893 13.4%
[
17.0%
-
17.5%
]
17.21%
102,809 27.0%
[
17.5%
-
18.0%
]
17.63%
326,634 18.9%
[
17.5%
-
18.0%
]
17.97%
637,383 29.8%
[
18.0%
-
18.5%
]
18.43%
526,426 14.7%
[
18.5%
-
19.0%
]
18.88%
332,779 16.0%
[
19.0%
-
19.5%
]
19.12%
118,278 21.4%
[
19.0%
-
19.5%
]
19.48%
311,036 7.5%
[
20.0%
-
20.5%
]
20.02%
778,534 21.7%
[
20.0%
-
20.5%
]
20.43%
106,130 15.0%
[
20.5%
-
21.0%
]
20.74%
232,874 27.5%
[
21.0%
-
21.5%
]
21.21%
65,312 17.4%
[
21.0%
-
21.5%
]
21.41%
203,886 13.3%
[
21.5%
-
22.0%
]
21.85%
64,946 11.3%
[
22.0%
-
22.5%
]
22.29%
64,530 14.6%
[
22.5%
-
23.0%
]
22.71%
133,398 13.4%
[
23.0%
-
23.5%
]
23.09%
144,601 13.9%
[
23.0%
-
23.5%
]
23.36%
862,624 23.2%
[
23.5%
-
24.0%
]
23.95%
60,815 15.8%
[
24.0%
-
24.5%
]
24.23%
177,063 17.0%
[
24.5%
-
25.0%
]
24.57%
41,913 11.0%
[
25.0%
-
25.5%
]
25.46%
55,779 9.4%
[
25.5%
-
26.0%
]
25.62%
91,833 19.1%
[
26.0%
-
26.5%
]
26.11%
23,343 17.0%
[
26.5%
-
27.0%
]
26.69%
50,734 8.8%
[
26.5%
-
27.0%
]
26.85%
88,531 13.1%
[
27.0%
-
27.5%
]
27.30%
19,882 17.1%
[
27.5%
-
28.0%
]
27.87%
124,609 14.0%
[
27.5%
-
28.0%
]
27.93%
52,707 44.1%
[
28.0%
-
28.5%
]
28.48%
108,577 19.7%
[
28.5%
-
29.0%
]
28.77%
46,424 12.3%
[
29.0%
-
29.5%
]
29.13%
128,600 8.4%
[
29.5%
-
30.0%
]
29.59%
71,485 4.1%
[
29.5%
-
30.0%
]
29.99%
90,534 7.0%
[
30.0%
-
30.5%
]
30.34%
118,437 30.3%
[
31.0%
-
31.5%
]
31.18%
19,928 10.0%
[
31.5%
-
32.0%
]
31.53%
48,930 16.6%
[
32.0%
-
32.5%
]
32.10%
38,124 4.3%
[
32.0%
-
32.5%
]
32.32%
98,730 15.1%
[
34.0%
-
34.5%
]
34.02%
135,971 29.4%
[
34.0%
-
34.5%
]
34.14%
43,304 29.0%
[
35.5%
-
36.0%
]
35.63%
80,880 13.2%
[
36.0%
-
36.5%
]
36.18%
65,922 16.8%
[
36.5%
-
37.0%
]
36.54%
31,986 2.0%
[
37.0%
-
37.5%
]
37.05%
61,592 24.4%
[
37.0%
-
37.5%
]
37.28%
126,375 21.9%
[
38.0%
-
38.5%
]
38.11%
129,504 13.4%
[
38.5%
-
39.0%
]
38.57%
115,076 10.6%
[
38.5%
-
39.0%
]
38.86%
85,228 11.1%
[
39.0%
-
39.5%
]
39.20%
7,786 3.3%
[
40.0%
-
40.5%
]
40.24%
22,654 10.2%
[
40.5%
-
41.0%
]
40.62%
28,212 12.0%
[
41.5%
-
42.0%
]
41.51%
33,937 14.6%
[
42.5%
-
43.0%
]
42.62%
59,410 17.4%
[
43.0%
-
43.5%
]
43.21%
83,114 16.2%
[
43.5%
-
44.0%
]
43.76%
91,781 17.7%
[
43.5%
-
44.0%
]
43.92%
25,460 7.9%
[
45.0%
-
45.5%
]
45.16%
37,340 17.5%
[
47.0%
-
47.5%
]
47.13%
89,536 11.0%
[
47.5%
-
48.0%
]
47.80%
95,942 9.6%
[
49.0%
-
49.5%
]
49.15%
12,070 22.1%
[
54.0%
-
54.5%
]
54.04%
25,001 4.3%
[
55.5%
-
56.0%
]
55.81%
26,418 7.4%
[
58.5%
-
59.0%
]
58.72%
79,495 29.6%