Argentinean Female Poverty Among 25-34 Year Olds

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Female Poverty Among 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Argentinean Female Poverty Among 25-34 Year Olds
Exceptional

12.5%
POVERTY | FEMALES 25-34
97.5/ 100
METRIC RATING
87th/ 347
METRIC RANK

Argentinean Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 293,783,031 people shows a slight positive correlation between the proportion of Argentineans and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.079 and weighted average of 12.5%. On average, for every 1% (one percent) increase in Argentineans within a typical geography, there is an increase of 0.20% in poverty level among females between the ages 25 and 34.
Argentinean Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Argentineans 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 Argentineans 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 Argentineans 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 Argentineans by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Argentineans are Croatian (12.5%, a difference of 0.030%), Immigrants from South Eastern Asia (12.5%, a difference of 0.040%), Immigrants from Austria (12.5%, a difference of 0.070%), Immigrants from Latvia (12.5%, a difference of 0.15%), and Albanian (12.5%, a difference of 0.21%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Immigrants from Malaysia
98.3
/100
|
#80
Exceptional
12.4%
Immigrants from Kazakhstan
98.1
/100
|
#81
Exceptional
12.4%
Ethiopians
98.0
/100
|
#82
Exceptional
12.4%
Albanians
97.7
/100
|
#83
Exceptional
12.5%
Immigrants from Latvia
97.7
/100
|
#84
Exceptional
12.5%
Immigrants from South Eastern Asia
97.6
/100
|
#85
Exceptional
12.5%
Croatians
97.5
/100
|
#86
Exceptional
12.5%
Argentineans
97.5
/100
|
#87
Exceptional
12.5%
Immigrants from Austria
97.4
/100
|
#88
Exceptional
12.5%
Italians
97.2
/100
|
#89
Exceptional
12.5%
Immigrants from Albania
97.1
/100
|
#90
Exceptional
12.5%
Norwegians
96.9
/100
|
#91
Exceptional
12.6%
Immigrants from Armenia
96.9
/100
|
#92
Exceptional
12.6%
Palestinians
96.9
/100
|
#93
Exceptional
12.6%
Immigrants from France
96.8
/100
|
#94
Exceptional
12.6%

Argentinean Female Poverty Among 25-34 Year Olds Correlation Summary

MeasurementArgentinean DataFemale Poverty Among 25-34 Year Olds Data
Minimum0.045%1.3%
Maximum12.6%45.9%
Range12.6%44.6%
Mean3.3%14.2%
Median2.8%13.8%
Interquartile 25% (IQ1)1.4%10.9%
Interquartile 75% (IQ3)4.6%15.5%
Interquartile Range (IQR)3.2%4.6%
Standard Deviation (Sample)2.7%6.8%
Standard Deviation (Population)2.6%6.7%

Correlation Details

Argentinean PercentileSample SizeFemale Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.045%
138,748,85914.9%
[
0.0%
-
0.5%
]
0.13%
64,440,73612.7%
[
0.0%
-
0.5%
]
0.22%
40,225,21112.9%
[
0.0%
-
0.5%
]
0.31%
16,283,46811.7%
[
0.0%
-
0.5%
]
0.40%
9,861,28511.6%
[
0.0%
-
0.5%
]
0.50%
6,124,75810.3%
[
0.5%
-
1.0%
]
0.58%
4,007,66811.5%
[
0.5%
-
1.0%
]
0.67%
2,861,07810.0%
[
0.5%
-
1.0%
]
0.75%
2,462,31611.6%
[
0.5%
-
1.0%
]
0.85%
1,320,43111.2%
[
0.5%
-
1.0%
]
0.93%
1,038,91210.3%
[
1.0%
-
1.5%
]
1.03%
897,03714.3%
[
1.0%
-
1.5%
]
1.11%
662,28810.9%
[
1.0%
-
1.5%
]
1.20%
953,53211.8%
[
1.0%
-
1.5%
]
1.29%
529,5348.5%
[
1.0%
-
1.5%
]
1.40%
849,78913.4%
[
1.0%
-
1.5%
]
1.48%
239,9449.1%
[
1.5%
-
2.0%
]
1.56%
211,29715.5%
[
1.5%
-
2.0%
]
1.65%
160,75914.4%
[
1.5%
-
2.0%
]
1.76%
237,81014.4%
[
1.5%
-
2.0%
]
1.81%
149,40911.5%
[
1.5%
-
2.0%
]
1.94%
110,36113.7%
[
1.5%
-
2.0%
]
1.99%
196,94314.1%
[
2.0%
-
2.5%
]
2.12%
74,64514.8%
[
2.0%
-
2.5%
]
2.20%
69,12114.0%
[
2.0%
-
2.5%
]
2.29%
60,29313.1%
[
2.0%
-
2.5%
]
2.40%
13,5567.1%
[
2.0%
-
2.5%
]
2.46%
87,14412.7%
[
2.5%
-
3.0%
]
2.55%
28,36612.2%
[
2.5%
-
3.0%
]
2.65%
75,67814.4%
[
2.5%
-
3.0%
]
2.75%
55,5694.5%
[
2.5%
-
3.0%
]
2.84%
47,79315.0%
[
2.5%
-
3.0%
]
2.92%
15,18416.5%
[
3.0%
-
3.5%
]
3.09%
93,11014.1%
[
3.0%
-
3.5%
]
3.15%
20,61418.4%
[
3.0%
-
3.5%
]
3.38%
72,10510.0%
[
3.0%
-
3.5%
]
3.46%
73,62214.9%
[
3.5%
-
4.0%
]
3.62%
57,19624.5%
[
3.5%
-
4.0%
]
3.69%
7,85014.2%
[
3.5%
-
4.0%
]
3.80%
6,6511.3%
[
3.5%
-
4.0%
]
3.95%
12,08120.5%
[
4.0%
-
4.5%
]
4.04%
1,36030.1%
[
4.0%
-
4.5%
]
4.26%
22,20219.9%
[
4.0%
-
4.5%
]
4.32%
17,78616.9%
[
4.0%
-
4.5%
]
4.46%
13,25516.2%
[
4.0%
-
4.5%
]
4.49%
1,4247.5%
[
4.5%
-
5.0%
]
4.63%
23,73410.8%
[
4.5%
-
5.0%
]
4.68%
32,88113.6%
[
4.5%
-
5.0%
]
4.76%
1,99445.9%
[
5.0%
-
5.5%
]
5.24%
98,85015.1%
[
5.0%
-
5.5%
]
5.32%
2,82019.1%
[
5.0%
-
5.5%
]
5.43%
11,63816.5%
[
5.5%
-
6.0%
]
5.51%
7,38818.8%
[
5.5%
-
6.0%
]
5.63%
1,68617.8%
[
6.0%
-
6.5%
]
6.18%
6,59019.6%
[
6.0%
-
6.5%
]
6.29%
19,78515.5%
[
6.5%
-
7.0%
]
6.54%
35,96714.6%
[
6.5%
-
7.0%
]
6.85%
3,58933.6%
[
7.0%
-
7.5%
]
7.15%
4,4077.4%
[
9.0%
-
9.5%
]
9.02%
2,4612.3%
[
12.5%
-
13.0%
]
12.57%
14,6397.5%
[
12.5%
-
13.0%
]
12.63%
14,5727.5%