Hungarian 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

Hungarian Female Poverty Among 25-34 Year Olds
Poor

14.1%
POVERTY | FEMALES 25-34
11.8/ 100
METRIC RATING
206th/ 347
METRIC RANK

Hungarian Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 472,494,833 people shows a significant positive correlation between the proportion of Hungarians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.659 and weighted average of 14.1%. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.89% in poverty level among females between the ages 25 and 34.
Hungarian Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Hungarians 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 Hungarians 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 Hungarians 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 Hungarians by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Hungarians are Japanese (14.1%, a difference of 0.020%), Immigrants from Panama (14.1%, a difference of 0.040%), Immigrants from Africa (14.1%, a difference of 0.28%), Hawaiian (14.1%, a difference of 0.33%), and Immigrants (14.0%, a difference of 0.48%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
English
20.4
/100
|
#199
Fair
13.9%
Hmong
20.3
/100
|
#200
Fair
13.9%
Immigrants from Trinidad and Tobago
17.6
/100
|
#201
Poor
14.0%
Welsh
17.2
/100
|
#202
Poor
14.0%
Immigrants
14.5
/100
|
#203
Poor
14.0%
Hawaiians
13.6
/100
|
#204
Poor
14.1%
Immigrants from Africa
13.4
/100
|
#205
Poor
14.1%
Hungarians
11.8
/100
|
#206
Poor
14.1%
Japanese
11.7
/100
|
#207
Poor
14.1%
Immigrants from Panama
11.6
/100
|
#208
Poor
14.1%
Guyanese
8.6
/100
|
#209
Tragic
14.2%
Panamanians
8.6
/100
|
#210
Tragic
14.2%
Trinidadians and Tobagonians
8.2
/100
|
#211
Tragic
14.2%
Immigrants from Guyana
6.6
/100
|
#212
Tragic
14.3%
Puget Sound Salish
6.5
/100
|
#213
Tragic
14.3%

Hungarian Female Poverty Among 25-34 Year Olds Correlation Summary

MeasurementHungarian DataFemale Poverty Among 25-34 Year Olds Data
Minimum0.21%10.0%
Maximum53.8%100.0%
Range53.5%90.0%
Mean15.9%27.3%
Median11.4%21.9%
Interquartile 25% (IQ1)5.5%13.7%
Interquartile 75% (IQ3)25.0%34.9%
Interquartile Range (IQR)19.4%21.1%
Standard Deviation (Sample)13.8%18.7%
Standard Deviation (Population)13.6%18.5%

Correlation Details

Hungarian PercentileSample SizeFemale Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.21%
351,199,22614.5%
[
0.5%
-
1.0%
]
0.68%
82,154,27612.1%
[
1.0%
-
1.5%
]
1.20%
20,191,50412.1%
[
1.5%
-
2.0%
]
1.73%
7,957,83313.2%
[
2.0%
-
2.5%
]
2.23%
3,605,36714.1%
[
2.5%
-
3.0%
]
2.75%
1,978,26413.4%
[
3.0%
-
3.5%
]
3.25%
1,684,84014.9%
[
3.5%
-
4.0%
]
3.77%
1,237,04614.5%
[
4.0%
-
4.5%
]
4.26%
807,70915.2%
[
4.5%
-
5.0%
]
4.74%
405,94212.0%
[
5.0%
-
5.5%
]
5.28%
391,25716.2%
[
5.5%
-
6.0%
]
5.78%
132,45512.8%
[
6.0%
-
6.5%
]
6.22%
129,51415.8%
[
6.5%
-
7.0%
]
6.74%
80,61010.0%
[
7.0%
-
7.5%
]
7.08%
43,93812.9%
[
7.5%
-
8.0%
]
7.75%
61,58021.9%
[
8.0%
-
8.5%
]
8.21%
36,43616.3%
[
8.5%
-
9.0%
]
8.72%
16,71128.6%
[
9.0%
-
9.5%
]
9.18%
9,42322.3%
[
9.5%
-
10.0%
]
9.62%
3,27319.1%
[
10.0%
-
10.5%
]
10.36%
4,29639.6%
[
10.5%
-
11.0%
]
10.95%
54,06118.3%
[
11.0%
-
11.5%
]
11.36%
14,97110.1%
[
11.5%
-
12.0%
]
11.64%
11,51611.0%
[
12.0%
-
12.5%
]
12.05%
75,14325.2%
[
12.5%
-
13.0%
]
12.71%
29932.3%
[
13.0%
-
13.5%
]
13.20%
56841.1%
[
14.0%
-
14.5%
]
14.04%
17830.0%
[
17.0%
-
17.5%
]
17.14%
48,08335.0%
[
17.5%
-
18.0%
]
17.65%
5145.5%
[
19.0%
-
19.5%
]
19.42%
1,79222.7%
[
21.0%
-
21.5%
]
21.35%
28,28755.1%
[
22.5%
-
23.0%
]
22.53%
7,38521.9%
[
24.5%
-
25.0%
]
24.63%
64,19324.7%
[
25.0%
-
25.5%
]
25.30%
5,50165.4%
[
26.0%
-
26.5%
]
26.04%
19254.5%
[
26.5%
-
27.0%
]
26.60%
18860.0%
[
29.5%
-
30.0%
]
29.88%
80025.0%
[
31.5%
-
32.0%
]
31.96%
3,85811.8%
[
33.0%
-
33.5%
]
33.30%
87122.1%
[
38.5%
-
39.0%
]
38.95%
9,57857.9%
[
40.5%
-
41.0%
]
40.81%
34,36834.7%
[
41.0%
-
41.5%
]
41.06%
96238.9%
[
50.5%
-
51.0%
]
50.79%
315100.0%
[
53.5%
-
54.0%
]
53.76%
17333.3%