Chinese Female Poverty Among 18-24 Year Olds

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Female Poverty Among 18-24 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Chinese Female Poverty Among 18-24 Year Olds
Exceptional

16.2%
POVERTY | FEMALES 18-24
100.0/ 100
METRIC RATING
2nd/ 347
METRIC RANK

Chinese Female Poverty Among 18-24 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 64,601,835 people shows no correlation between the proportion of Chinese and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.004 and weighted average of 16.2%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.023% in poverty level among females between the ages 18 and 24.
Chinese Female Poverty Among 18-24 Year Olds
It is essential to understand that the correlation between the percentage of Chinese 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 Chinese 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 Chinese 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 Chinese by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Chinese are Immigrants from Cuba (16.4%, a difference of 1.7%), Immigrants from India (16.4%, a difference of 1.7%), Immigrants from Portugal (16.5%, a difference of 2.4%), Immigrants from Philippines (16.7%, a difference of 3.2%), and Immigrants from the Azores (16.7%, a difference of 3.3%).
DemographicsRating | RankFemale Poverty Among 18-24 Year Olds
Assyrians/Chaldeans/Syriacs
100.0
/100
|
#1
Exceptional
13.7%
Chinese
100.0
/100
|
#2
Exceptional
16.2%
Immigrants from Cuba
100.0
/100
|
#3
Exceptional
16.4%
Immigrants from India
100.0
/100
|
#4
Exceptional
16.4%
Immigrants from Portugal
100.0
/100
|
#5
Exceptional
16.5%
Immigrants from Philippines
100.0
/100
|
#6
Exceptional
16.7%
Immigrants from the Azores
100.0
/100
|
#7
Exceptional
16.7%
Immigrants from Bolivia
100.0
/100
|
#8
Exceptional
16.7%
Immigrants from Peru
100.0
/100
|
#9
Exceptional
16.9%
Koreans
100.0
/100
|
#10
Exceptional
16.9%
Thais
100.0
/100
|
#11
Exceptional
17.0%
Immigrants from Pakistan
100.0
/100
|
#12
Exceptional
17.0%
Immigrants from Poland
100.0
/100
|
#13
Exceptional
17.1%
Tongans
100.0
/100
|
#14
Exceptional
17.1%
Cubans
100.0
/100
|
#15
Exceptional
17.2%

Chinese Female Poverty Among 18-24 Year Olds Correlation Summary

MeasurementChinese DataFemale Poverty Among 18-24 Year Olds Data
Minimum0.0087%2.1%
Maximum8.3%39.8%
Range8.3%37.7%
Mean1.5%16.3%
Median1.1%15.5%
Interquartile 25% (IQ1)0.49%9.9%
Interquartile 75% (IQ3)1.7%21.3%
Interquartile Range (IQR)1.2%11.5%
Standard Deviation (Sample)1.7%9.0%
Standard Deviation (Population)1.7%8.9%

Correlation Details

Chinese PercentileSample SizeFemale Poverty Among 18-24 Year Olds
[
0.0%
-
0.5%
]
0.0087%
53,048,80923.4%
[
0.0%
-
0.5%
]
0.059%
5,022,98116.5%
[
0.0%
-
0.5%
]
0.10%
1,520,15215.5%
[
0.0%
-
0.5%
]
0.14%
1,091,59516.2%
[
0.0%
-
0.5%
]
0.19%
529,05117.5%
[
0.0%
-
0.5%
]
0.22%
242,51910.0%
[
0.0%
-
0.5%
]
0.27%
236,91215.8%
[
0.0%
-
0.5%
]
0.31%
255,12213.6%
[
0.0%
-
0.5%
]
0.35%
171,66126.0%
[
0.0%
-
0.5%
]
0.39%
93,56013.1%
[
0.0%
-
0.5%
]
0.43%
144,77917.1%
[
0.0%
-
0.5%
]
0.47%
73,19627.2%
[
0.5%
-
1.0%
]
0.52%
115,50219.1%
[
0.5%
-
1.0%
]
0.56%
74,60629.1%
[
0.5%
-
1.0%
]
0.60%
262,88612.2%
[
0.5%
-
1.0%
]
0.64%
102,71015.4%
[
0.5%
-
1.0%
]
0.70%
108,9969.3%
[
0.5%
-
1.0%
]
0.72%
77,33518.7%
[
0.5%
-
1.0%
]
0.78%
454,77718.9%
[
0.5%
-
1.0%
]
0.82%
23,35810.8%
[
0.5%
-
1.0%
]
0.84%
151,35510.9%
[
0.5%
-
1.0%
]
0.89%
78,35413.1%
[
0.5%
-
1.0%
]
0.98%
40,32311.9%
[
1.0%
-
1.5%
]
1.00%
52,02416.3%
[
1.0%
-
1.5%
]
1.07%
6,55539.0%
[
1.0%
-
1.5%
]
1.09%
38,51722.9%
[
1.0%
-
1.5%
]
1.12%
22,8642.1%
[
1.0%
-
1.5%
]
1.17%
30,5089.1%
[
1.0%
-
1.5%
]
1.21%
77,41511.4%
[
1.0%
-
1.5%
]
1.27%
54,3625.0%
[
1.0%
-
1.5%
]
1.33%
27,73925.6%
[
1.0%
-
1.5%
]
1.37%
11,1383.5%
[
1.0%
-
1.5%
]
1.44%
49,51234.7%
[
1.5%
-
2.0%
]
1.57%
27,4239.5%
[
1.5%
-
2.0%
]
1.63%
38,6743.1%
[
1.5%
-
2.0%
]
1.67%
48,4945.6%
[
1.5%
-
2.0%
]
1.70%
18,80219.4%
[
1.5%
-
2.0%
]
1.77%
35,4939.5%
[
1.5%
-
2.0%
]
1.84%
41,5607.1%
[
1.5%
-
2.0%
]
1.87%
10,80122.7%
[
1.5%
-
2.0%
]
1.95%
8,54314.7%
[
2.0%
-
2.5%
]
2.14%
55,88812.1%
[
2.0%
-
2.5%
]
2.28%
1,57639.8%
[
3.0%
-
3.5%
]
3.39%
3,62730.5%
[
4.0%
-
4.5%
]
4.04%
4,13526.0%
[
4.0%
-
4.5%
]
4.14%
9,5712.2%
[
5.5%
-
6.0%
]
5.98%
5,06517.9%
[
6.5%
-
7.0%
]
6.68%
8539.7%
[
8.0%
-
8.5%
]
8.28%
15720.0%