Immigrants from China Female Poverty Among 25-34 Year Olds

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Immigrants from China
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 AmericaChileColombiaCongoCosta 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 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Immigrants from China Female Poverty Among 25-34 Year Olds
Exceptional

11.2%
POVERTY | FEMALES 25-34
100.0/ 100
METRIC RATING
17th/ 347
METRIC RANK

Immigrants from China Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 446,627,723 people shows no correlation between the proportion of Immigrants from China and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.015 and weighted average of 11.2%. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is a decrease of 0.0041% in poverty level among females between the ages 25 and 34.
Immigrants from China Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Immigrants from China and poverty level among females between the ages 25 and 34 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from China influences an upward or downward trend in the level of poverty level among females between the ages 25 and 34 within an area, or if Immigrants from China simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.

Demographics Similar to Immigrants from China by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Immigrants from China are Immigrants from Bolivia (11.2%, a difference of 0.070%), Assyrian/Chaldean/Syriac (11.2%, a difference of 0.11%), Immigrants from Eastern Asia (11.2%, a difference of 0.11%), Indian (Asian) (11.2%, a difference of 0.21%), and Burmese (11.2%, a difference of 0.22%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Immigrants from Lithuania
100.0
/100
|
#10
Exceptional
11.1%
Immigrants from Korea
100.0
/100
|
#11
Exceptional
11.1%
Immigrants from Ireland
100.0
/100
|
#12
Exceptional
11.2%
Burmese
100.0
/100
|
#13
Exceptional
11.2%
Indians (Asian)
100.0
/100
|
#14
Exceptional
11.2%
Assyrians/Chaldeans/Syriacs
100.0
/100
|
#15
Exceptional
11.2%
Immigrants from Bolivia
100.0
/100
|
#16
Exceptional
11.2%
Immigrants from China
100.0
/100
|
#17
Exceptional
11.2%
Immigrants from Eastern Asia
100.0
/100
|
#18
Exceptional
11.2%
Iranians
100.0
/100
|
#19
Exceptional
11.2%
Okinawans
100.0
/100
|
#20
Exceptional
11.3%
Turks
100.0
/100
|
#21
Exceptional
11.4%
Asians
99.9
/100
|
#22
Exceptional
11.4%
Bolivians
99.9
/100
|
#23
Exceptional
11.4%
Maltese
99.9
/100
|
#24
Exceptional
11.4%

Immigrants from China Female Poverty Among 25-34 Year Olds Correlation Summary

MeasurementImmigrants from China DataFemale Poverty Among 25-34 Year Olds Data
Minimum0.17%0.28%
Maximum46.3%17.7%
Range46.1%17.4%
Mean15.6%9.7%
Median13.8%9.6%
Interquartile 25% (IQ1)6.8%8.5%
Interquartile 75% (IQ3)22.7%11.2%
Interquartile Range (IQR)15.9%2.7%
Standard Deviation (Sample)10.7%3.0%
Standard Deviation (Population)10.6%3.0%

Correlation Details

Immigrants from China PercentileSample SizeFemale Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.17%
216,911,72415.8%
[
0.5%
-
1.0%
]
0.54%
91,416,01712.9%
[
0.5%
-
1.0%
]
0.95%
37,605,69511.7%
[
1.0%
-
1.5%
]
1.33%
24,500,86912.1%
[
1.5%
-
2.0%
]
1.73%
13,557,06711.5%
[
2.0%
-
2.5%
]
2.10%
9,996,22010.4%
[
2.5%
-
3.0%
]
2.52%
4,846,11410.1%
[
2.5%
-
3.0%
]
2.91%
5,630,64210.3%
[
3.0%
-
3.5%
]
3.29%
4,910,63510.6%
[
3.5%
-
4.0%
]
3.67%
2,885,8089.4%
[
4.0%
-
4.5%
]
4.01%
2,668,7968.6%
[
4.5%
-
5.0%
]
4.58%
11,815,27214.0%
[
4.5%
-
5.0%
]
4.83%
1,624,18710.5%
[
5.0%
-
5.5%
]
5.23%
1,048,50211.7%
[
5.5%
-
6.0%
]
5.64%
2,254,1599.5%
[
5.5%
-
6.0%
]
6.00%
674,12912.2%
[
6.0%
-
6.5%
]
6.40%
1,000,2429.1%
[
6.5%
-
7.0%
]
6.76%
1,030,53510.1%
[
7.0%
-
7.5%
]
7.15%
1,029,4788.8%
[
7.5%
-
8.0%
]
7.62%
667,5148.4%
[
7.5%
-
8.0%
]
8.00%
964,2268.5%
[
8.0%
-
8.5%
]
8.40%
835,1547.1%
[
8.5%
-
9.0%
]
8.78%
318,3049.6%
[
9.0%
-
9.5%
]
9.04%
671,7676.9%
[
9.5%
-
10.0%
]
9.56%
422,9789.3%
[
9.5%
-
10.0%
]
9.88%
593,5829.7%
[
10.0%
-
10.5%
]
10.25%
255,0568.8%
[
10.5%
-
11.0%
]
10.70%
347,1329.4%
[
10.5%
-
11.0%
]
10.99%
428,6079.8%
[
11.0%
-
11.5%
]
11.41%
529,2699.6%
[
11.5%
-
12.0%
]
11.80%
160,99510.9%
[
12.0%
-
12.5%
]
12.35%
1,056,9878.1%
[
12.5%
-
13.0%
]
12.68%
368,2428.0%
[
13.0%
-
13.5%
]
13.06%
273,04510.5%
[
13.0%
-
13.5%
]
13.39%
328,5749.5%
[
14.0%
-
14.5%
]
14.27%
47,2024.9%
[
14.5%
-
15.0%
]
14.63%
96,1248.1%
[
14.5%
-
15.0%
]
14.93%
110,4345.5%
[
15.0%
-
15.5%
]
15.39%
39,8609.2%
[
16.0%
-
16.5%
]
16.11%
183,4279.2%
[
16.0%
-
16.5%
]
16.38%
51,89410.7%
[
17.0%
-
17.5%
]
17.19%
130,36414.2%
[
18.0%
-
18.5%
]
18.02%
110,9508.1%
[
18.0%
-
18.5%
]
18.40%
312,2005.9%
[
18.5%
-
19.0%
]
18.92%
110,4164.7%
[
19.0%
-
19.5%
]
19.18%
235,0059.5%
[
19.0%
-
19.5%
]
19.44%
45,6509.6%
[
19.5%
-
20.0%
]
19.85%
131,9238.1%
[
20.5%
-
21.0%
]
20.98%
13,7220.28%
[
21.5%
-
22.0%
]
21.65%
89,0758.9%
[
21.5%
-
22.0%
]
21.87%
143,7407.7%
[
22.0%
-
22.5%
]
22.31%
102,22311.2%
[
22.5%
-
23.0%
]
22.68%
85,30612.4%
[
23.0%
-
23.5%
]
23.13%
24,1698.9%
[
24.5%
-
25.0%
]
24.66%
80,98617.7%
[
25.5%
-
26.0%
]
25.74%
134,38514.4%
[
26.0%
-
26.5%
]
26.09%
151,9839.4%
[
26.0%
-
26.5%
]
26.46%
28,2121.0%
[
26.5%
-
27.0%
]
26.87%
68,9237.7%
[
27.5%
-
28.0%
]
27.63%
36,16511.7%
[
28.0%
-
28.5%
]
28.13%
37,34010.9%
[
28.5%
-
29.0%
]
28.66%
52,26810.2%
[
28.5%
-
29.0%
]
28.73%
87,9479.2%
[
30.5%
-
31.0%
]
30.51%
25,46016.2%
[
30.5%
-
31.0%
]
30.69%
60,38610.5%
[
34.5%
-
35.0%
]
34.51%
1,10711.7%
[
35.5%
-
36.0%
]
35.57%
12,0704.0%
[
36.5%
-
37.0%
]
36.69%
26,41812.2%
[
39.0%
-
39.5%
]
39.16%
53,37110.6%
[
46.0%
-
46.5%
]
46.27%
79,49514.7%