Chinese Married-Couple Family Poverty

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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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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Married-Couple Family Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Chinese Married-Couple Family Poverty
Exceptional

3.6%
POVERTY | MARRIED-COUPLE FAMILIES
100.0/ 100
METRIC RATING
2nd/ 347
METRIC RANK

Chinese Married-Couple Family Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 64,670,469 people shows no correlation between the proportion of Chinese and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.040 and weighted average of 3.6%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.10% in poverty level among married-couple families.
Chinese Married-Couple Family Poverty
It is essential to understand that the correlation between the percentage of Chinese and poverty level among married-couple families does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Chinese influences an upward or downward trend in the level of poverty level among married-couple families within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of poverty level among married-couple families due to other factors.

Demographics Similar to Chinese by Married-Couple Family Poverty

In terms of married-couple family poverty, the demographic groups most similar to Chinese are Immigrants from India (3.6%, a difference of 0.18%), Norwegian (3.7%, a difference of 1.9%), Slovene (3.8%, a difference of 5.6%), Swedish (3.9%, a difference of 5.7%), and Luxembourger (3.9%, a difference of 6.4%).
DemographicsRating | RankMarried-Couple Family Poverty
Immigrants from India
100.0
/100
|
#1
Exceptional
3.6%
Chinese
100.0
/100
|
#2
Exceptional
3.6%
Norwegians
100.0
/100
|
#3
Exceptional
3.7%
Slovenes
100.0
/100
|
#4
Exceptional
3.8%
Swedes
100.0
/100
|
#5
Exceptional
3.9%
Luxembourgers
100.0
/100
|
#6
Exceptional
3.9%
Latvians
100.0
/100
|
#7
Exceptional
3.9%
Thais
100.0
/100
|
#8
Exceptional
3.9%
Croatians
100.0
/100
|
#9
Exceptional
3.9%
Carpatho Rusyns
100.0
/100
|
#10
Exceptional
3.9%
Lithuanians
100.0
/100
|
#11
Exceptional
4.0%
Bulgarians
100.0
/100
|
#12
Exceptional
4.0%
Czechs
100.0
/100
|
#13
Exceptional
4.0%
Slovaks
100.0
/100
|
#14
Exceptional
4.0%
Poles
100.0
/100
|
#15
Exceptional
4.0%

Chinese Married-Couple Family Poverty Correlation Summary

MeasurementChinese DataMarried-Couple Family Poverty Data
Minimum0.0087%0.44%
Maximum6.7%17.1%
Range6.7%16.7%
Mean1.4%4.2%
Median1.1%3.3%
Interquartile 25% (IQ1)0.50%2.2%
Interquartile 75% (IQ3)1.7%4.1%
Interquartile Range (IQR)1.2%1.9%
Standard Deviation (Sample)1.4%3.4%
Standard Deviation (Population)1.4%3.4%

Correlation Details

Chinese PercentileSample SizeMarried-Couple Family Poverty
[
0.0%
-
0.5%
]
0.0087%
53,055,7465.7%
[
0.0%
-
0.5%
]
0.059%
5,041,6973.6%
[
0.0%
-
0.5%
]
0.10%
1,538,2103.3%
[
0.0%
-
0.5%
]
0.14%
1,129,8283.6%
[
0.0%
-
0.5%
]
0.19%
517,9093.9%
[
0.0%
-
0.5%
]
0.22%
242,5193.2%
[
0.0%
-
0.5%
]
0.27%
241,7393.2%
[
0.0%
-
0.5%
]
0.31%
259,0173.8%
[
0.0%
-
0.5%
]
0.35%
167,8323.7%
[
0.0%
-
0.5%
]
0.39%
98,5843.7%
[
0.0%
-
0.5%
]
0.43%
144,7794.3%
[
0.0%
-
0.5%
]
0.47%
60,3638.3%
[
0.5%
-
1.0%
]
0.52%
115,5183.6%
[
0.5%
-
1.0%
]
0.56%
79,9783.9%
[
0.5%
-
1.0%
]
0.60%
263,9043.3%
[
0.5%
-
1.0%
]
0.65%
102,0152.3%
[
0.5%
-
1.0%
]
0.70%
110,9303.6%
[
0.5%
-
1.0%
]
0.72%
80,3666.4%
[
0.5%
-
1.0%
]
0.78%
454,7773.7%
[
0.5%
-
1.0%
]
0.81%
9869.0%
[
0.5%
-
1.0%
]
0.84%
151,3553.8%
[
0.5%
-
1.0%
]
0.89%
78,3543.7%
[
0.5%
-
1.0%
]
0.98%
40,3231.1%
[
1.0%
-
1.5%
]
1.00%
50,2805.4%
[
1.0%
-
1.5%
]
1.05%
13,2925.3%
[
1.0%
-
1.5%
]
1.09%
38,0542.6%
[
1.0%
-
1.5%
]
1.12%
21,5461.6%
[
1.0%
-
1.5%
]
1.18%
24,7651.6%
[
1.0%
-
1.5%
]
1.21%
77,4152.6%
[
1.0%
-
1.5%
]
1.27%
54,3620.94%
[
1.0%
-
1.5%
]
1.33%
25,9572.1%
[
1.0%
-
1.5%
]
1.37%
11,1383.3%
[
1.0%
-
1.5%
]
1.44%
49,5122.7%
[
1.5%
-
2.0%
]
1.57%
27,4230.54%
[
1.5%
-
2.0%
]
1.63%
45,3922.4%
[
1.5%
-
2.0%
]
1.67%
48,4941.7%
[
1.5%
-
2.0%
]
1.70%
18,8023.0%
[
1.5%
-
2.0%
]
1.77%
35,4933.0%
[
1.5%
-
2.0%
]
1.84%
41,5600.44%
[
1.5%
-
2.0%
]
1.87%
10,80113.9%
[
1.5%
-
2.0%
]
1.95%
8,54311.1%
[
2.0%
-
2.5%
]
2.14%
63,4392.1%
[
2.0%
-
2.5%
]
2.19%
1,5557.6%
[
2.0%
-
2.5%
]
2.26%
1,50717.1%
[
2.5%
-
3.0%
]
2.61%
4,7862.2%
[
4.0%
-
4.5%
]
4.04%
4,13512.7%
[
4.0%
-
4.5%
]
4.14%
9,5710.70%
[
5.5%
-
6.0%
]
5.98%
5,0650.91%
[
6.5%
-
7.0%
]
6.68%
8533.0%