Welsh Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Welsh Female Poverty Among 25-34 Year Olds
14.0%
POVERTY | FEMALES 25-34
17.2/ 100
METRIC RATING
202nd/ 347
METRIC RANK
Welsh Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 511,618,388 people shows a substantial positive correlation between the proportion of Welsh and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.582 and weighted average of 14.0%. On average, for every 1% (one percent) increase in Welsh within a typical geography, there is an increase of 2.1% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Welsh 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 Welsh 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 Welsh 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 Welsh by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Welsh are Immigrants from Trinidad and Tobago (14.0%, a difference of 0.050%), Hmong (13.9%, a difference of 0.41%), Immigrants (14.0%, a difference of 0.41%), English (13.9%, a difference of 0.42%), and Immigrants from Germany (13.9%, a difference of 0.49%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Immigrants from Cambodia | 24.0 /100 | #195 | Fair 13.9% |
| Scottish | 23.6 /100 | #196 | Fair 13.9% |
| Immigrants from Saudi Arabia | 21.9 /100 | #197 | Fair 13.9% |
| Immigrants from Germany | 20.9 /100 | #198 | Fair 13.9% |
| 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% |
Welsh Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Welsh Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.24% | 9.1% |
| Maximum | 31.2% | 100.0% |
| Range | 31.0% | 90.9% |
| Mean | 10.3% | 28.7% |
| Median | 9.5% | 17.1% |
| Interquartile 25% (IQ1) | 4.7% | 14.4% |
| Interquartile 75% (IQ3) | 14.3% | 27.5% |
| Interquartile Range (IQR) | 9.6% | 13.1% |
| Standard Deviation (Sample) | 7.0% | 25.7% |
| Standard Deviation (Population) | 6.9% | 25.4% |
Correlation Details
| Welsh Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.24% | 282,429,690 | 15.6% |
[ 0.5% - 1.0% ] 0.67% | 157,114,784 | 13.0% |
[ 1.0% - 1.5% ] 1.13% | 45,456,896 | 12.8% |
[ 1.5% - 2.0% ] 1.62% | 14,554,277 | 13.4% |
[ 2.0% - 2.5% ] 2.09% | 5,937,473 | 13.7% |
[ 2.5% - 3.0% ] 2.59% | 2,904,874 | 14.9% |
[ 3.0% - 3.5% ] 3.06% | 1,146,969 | 17.0% |
[ 3.5% - 4.0% ] 3.56% | 749,539 | 16.8% |
[ 4.0% - 4.5% ] 4.04% | 336,447 | 20.2% |
[ 4.0% - 4.5% ] 4.49% | 199,298 | 16.8% |
[ 4.5% - 5.0% ] 4.97% | 260,665 | 18.8% |
[ 5.0% - 5.5% ] 5.45% | 146,133 | 20.6% |
[ 5.5% - 6.0% ] 5.92% | 89,613 | 14.5% |
[ 6.0% - 6.5% ] 6.40% | 73,990 | 24.4% |
[ 6.5% - 7.0% ] 6.91% | 49,462 | 21.4% |
[ 7.0% - 7.5% ] 7.31% | 35,009 | 15.5% |
[ 7.5% - 8.0% ] 7.82% | 29,323 | 29.1% |
[ 8.0% - 8.5% ] 8.29% | 16,448 | 26.0% |
[ 8.5% - 9.0% ] 8.79% | 9,230 | 16.5% |
[ 9.0% - 9.5% ] 9.25% | 7,894 | 11.4% |
[ 9.5% - 10.0% ] 9.77% | 14,619 | 15.0% |
[ 10.0% - 10.5% ] 10.26% | 3,090 | 25.1% |
[ 10.5% - 11.0% ] 10.74% | 3,763 | 9.5% |
[ 11.0% - 11.5% ] 11.19% | 3,118 | 55.9% |
[ 11.5% - 12.0% ] 11.55% | 9,185 | 16.1% |
[ 12.0% - 12.5% ] 12.30% | 7,457 | 11.7% |
[ 12.0% - 12.5% ] 12.44% | 1,125 | 76.3% |
[ 12.5% - 13.0% ] 12.93% | 1,199 | 44.7% |
[ 13.0% - 13.5% ] 13.47% | 5,226 | 17.2% |
[ 14.0% - 14.5% ] 14.10% | 468 | 41.1% |
[ 14.5% - 15.0% ] 14.53% | 6,313 | 13.8% |
[ 14.5% - 15.0% ] 14.98% | 267 | 75.1% |
[ 15.5% - 16.0% ] 15.76% | 825 | 22.0% |
[ 17.5% - 18.0% ] 17.82% | 1,420 | 9.1% |
[ 18.0% - 18.5% ] 18.43% | 9,039 | 17.8% |
[ 19.5% - 20.0% ] 19.87% | 151 | 100.0% |
[ 20.0% - 20.5% ] 20.45% | 88 | 100.0% |
[ 21.5% - 22.0% ] 21.94% | 629 | 14.4% |
[ 22.0% - 22.5% ] 22.49% | 2,219 | 29.4% |
[ 31.0% - 31.5% ] 31.21% | 173 | 100.0% |