Slovene Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Slovene Female Poverty Among 25-34 Year Olds
12.8%
POVERTY | FEMALES 25-34
92.7/ 100
METRIC RATING
123rd/ 347
METRIC RANK
Slovene Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 257,613,004 people shows a weak negative correlation between the proportion of Slovenes and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.228 and weighted average of 12.8%. On average, for every 1% (one percent) increase in Slovenes within a typical geography, there is a decrease of 0.49% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Slovenes 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 Slovenes 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 Slovenes 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 Slovenes by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Slovenes are Immigrants from Western Asia (12.8%, a difference of 0.020%), Romanian (12.8%, a difference of 0.030%), Immigrants from Nepal (12.8%, a difference of 0.10%), Carpatho Rusyn (12.8%, a difference of 0.10%), and Mongolian (12.8%, a difference of 0.11%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Chileans | 93.2 /100 | #116 | Exceptional 12.8% |
| Immigrants from Kuwait | 93.1 /100 | #117 | Exceptional 12.8% |
| Mongolians | 93.0 /100 | #118 | Exceptional 12.8% |
| Immigrants from Nepal | 93.0 /100 | #119 | Exceptional 12.8% |
| Carpatho Rusyns | 93.0 /100 | #120 | Exceptional 12.8% |
| Romanians | 92.8 /100 | #121 | Exceptional 12.8% |
| Immigrants from Western Asia | 92.7 /100 | #122 | Exceptional 12.8% |
| Slovenes | 92.7 /100 | #123 | Exceptional 12.8% |
| Immigrants from Netherlands | 92.0 /100 | #124 | Exceptional 12.8% |
| Immigrants from Canada | 91.5 /100 | #125 | Exceptional 12.9% |
| Immigrants from Fiji | 91.2 /100 | #126 | Exceptional 12.9% |
| Czechs | 90.3 /100 | #127 | Exceptional 12.9% |
| Syrians | 90.2 /100 | #128 | Exceptional 12.9% |
| Immigrants from North America | 89.7 /100 | #129 | Excellent 12.9% |
| Immigrants from Uzbekistan | 89.6 /100 | #130 | Excellent 12.9% |
Slovene Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Slovene Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.049% | 0.42% |
| Maximum | 12.2% | 27.6% |
| Range | 12.2% | 27.2% |
| Mean | 4.5% | 13.3% |
| Median | 4.0% | 12.8% |
| Interquartile 25% (IQ1) | 2.0% | 8.8% |
| Interquartile 75% (IQ3) | 6.2% | 16.6% |
| Interquartile Range (IQR) | 4.2% | 7.8% |
| Standard Deviation (Sample) | 3.1% | 6.6% |
| Standard Deviation (Population) | 3.1% | 6.6% |
Correlation Details
| Slovene Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.049% | 224,453,851 | 13.2% |
[ 0.0% - 0.5% ] 0.23% | 18,760,585 | 12.1% |
[ 0.0% - 0.5% ] 0.40% | 5,622,391 | 12.7% |
[ 0.5% - 1.0% ] 0.58% | 2,847,371 | 15.9% |
[ 0.5% - 1.0% ] 0.75% | 1,669,508 | 14.1% |
[ 0.5% - 1.0% ] 0.90% | 1,096,811 | 13.1% |
[ 1.0% - 1.5% ] 1.10% | 416,251 | 12.9% |
[ 1.0% - 1.5% ] 1.25% | 729,727 | 13.1% |
[ 1.0% - 1.5% ] 1.43% | 386,991 | 14.5% |
[ 1.5% - 2.0% ] 1.56% | 215,072 | 10.4% |
[ 1.5% - 2.0% ] 1.74% | 254,845 | 13.0% |
[ 1.5% - 2.0% ] 1.92% | 101,844 | 17.2% |
[ 2.0% - 2.5% ] 2.05% | 196,443 | 8.2% |
[ 2.0% - 2.5% ] 2.21% | 53,898 | 19.9% |
[ 2.0% - 2.5% ] 2.41% | 74,791 | 21.0% |
[ 2.5% - 3.0% ] 2.58% | 31,660 | 8.5% |
[ 2.5% - 3.0% ] 2.75% | 49,706 | 15.0% |
[ 2.5% - 3.0% ] 2.90% | 38,482 | 10.8% |
[ 3.0% - 3.5% ] 3.09% | 52,838 | 25.3% |
[ 3.0% - 3.5% ] 3.22% | 12,921 | 22.8% |
[ 3.0% - 3.5% ] 3.39% | 28,526 | 13.9% |
[ 3.5% - 4.0% ] 3.54% | 65,310 | 12.1% |
[ 3.5% - 4.0% ] 3.82% | 12,869 | 5.3% |
[ 3.5% - 4.0% ] 3.86% | 4,821 | 24.3% |
[ 4.0% - 4.5% ] 4.05% | 2,768 | 26.9% |
[ 4.0% - 4.5% ] 4.17% | 3,235 | 19.2% |
[ 4.0% - 4.5% ] 4.41% | 7,003 | 15.0% |
[ 4.5% - 5.0% ] 4.54% | 8,660 | 19.9% |
[ 4.5% - 5.0% ] 4.73% | 20,704 | 2.8% |
[ 4.5% - 5.0% ] 4.87% | 61,500 | 9.5% |
[ 5.0% - 5.5% ] 5.05% | 61,975 | 11.2% |
[ 5.0% - 5.5% ] 5.25% | 89,439 | 6.7% |
[ 5.5% - 6.0% ] 5.65% | 230 | 21.1% |
[ 5.5% - 6.0% ] 5.83% | 3,500 | 27.6% |
[ 5.5% - 6.0% ] 5.93% | 37,800 | 5.4% |
[ 6.0% - 6.5% ] 6.12% | 2,125 | 5.2% |
[ 6.0% - 6.5% ] 6.20% | 3,433 | 9.1% |
[ 6.5% - 7.0% ] 6.76% | 38,259 | 6.6% |
[ 7.0% - 7.5% ] 7.08% | 1,384 | 12.8% |
[ 7.0% - 7.5% ] 7.17% | 37,812 | 5.5% |
[ 8.0% - 8.5% ] 8.27% | 12,661 | 14.9% |
[ 8.0% - 8.5% ] 8.47% | 1,912 | 10.7% |
[ 8.5% - 9.0% ] 8.67% | 9,972 | 6.5% |
[ 9.0% - 9.5% ] 9.40% | 17,138 | 10.8% |
[ 9.5% - 10.0% ] 9.75% | 6,914 | 0.42% |
[ 10.5% - 11.0% ] 10.70% | 5,297 | 2.0% |
[ 11.0% - 11.5% ] 11.14% | 700 | 25.0% |
[ 12.0% - 12.5% ] 12.23% | 1,071 | 11.8% |