Welsh Female Poverty
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Welsh
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Female Poverty
Welsh Female Poverty
12.7%
POVERTY | FEMALES
91.6/ 100
METRIC RATING
114th/ 347
METRIC RANK
Welsh Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 527,858,131 people shows a substantial positive correlation between the proportion of Welsh and poverty level among females in the United States with a correlation coefficient (R) of 0.595 and weighted average of 12.7%. On average, for every 1% (one percent) increase in Welsh within a typical geography, there is an increase of 0.75% in poverty level among females.
It is essential to understand that the correlation between the percentage of Welsh and poverty level among females 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 within an area, or if Welsh simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Welsh by Female Poverty
In terms of female poverty, the demographic groups most similar to Welsh are Puget Sound Salish (12.7%, a difference of 0.020%), Canadian (12.7%, a difference of 0.12%), Immigrants from Russia (12.7%, a difference of 0.14%), Immigrants from Israel (12.6%, a difference of 0.15%), and Immigrants from Southern Europe (12.7%, a difference of 0.22%).
| Demographics | Rating | Rank | Female Poverty |
| Laotians | 93.4 /100 | #107 | Exceptional 12.6% |
| Portuguese | 93.1 /100 | #108 | Exceptional 12.6% |
| Immigrants from Zimbabwe | 93.1 /100 | #109 | Exceptional 12.6% |
| Paraguayans | 93.0 /100 | #110 | Exceptional 12.6% |
| Soviet Union | 92.4 /100 | #111 | Exceptional 12.6% |
| Immigrants from Israel | 92.0 /100 | #112 | Exceptional 12.6% |
| Canadians | 92.0 /100 | #113 | Exceptional 12.7% |
| Welsh | 91.6 /100 | #114 | Exceptional 12.7% |
| Puget Sound Salish | 91.5 /100 | #115 | Exceptional 12.7% |
| Immigrants from Russia | 91.2 /100 | #116 | Exceptional 12.7% |
| Immigrants from Southern Europe | 90.9 /100 | #117 | Exceptional 12.7% |
| Sri Lankans | 90.9 /100 | #118 | Exceptional 12.7% |
| Albanians | 90.8 /100 | #119 | Exceptional 12.7% |
| New Zealanders | 90.6 /100 | #120 | Exceptional 12.7% |
| Immigrants from Hungary | 90.3 /100 | #121 | Exceptional 12.7% |
Welsh Female Poverty Correlation Summary
| Measurement | Welsh Data | Female Poverty Data |
| Minimum | 0.24% | 3.0% |
| Maximum | 73.2% | 100.0% |
| Range | 72.9% | 97.0% |
| Mean | 15.6% | 19.2% |
| Median | 13.2% | 13.5% |
| Interquartile 25% (IQ1) | 6.7% | 11.1% |
| Interquartile 75% (IQ3) | 20.4% | 19.0% |
| Interquartile Range (IQR) | 13.8% | 7.9% |
| Standard Deviation (Sample) | 13.0% | 16.4% |
| Standard Deviation (Population) | 12.9% | 16.2% |
Correlation Details
| Welsh Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.24% | 288,374,315 | 15.3% |
[ 0.5% - 1.0% ] 0.67% | 161,770,134 | 12.3% |
[ 1.0% - 1.5% ] 1.13% | 47,991,691 | 11.4% |
[ 1.5% - 2.0% ] 1.62% | 15,810,110 | 11.4% |
[ 2.0% - 2.5% ] 2.09% | 6,533,696 | 10.6% |
[ 2.5% - 3.0% ] 2.59% | 3,330,660 | 11.0% |
[ 3.0% - 3.5% ] 3.06% | 1,333,064 | 12.7% |
[ 3.5% - 4.0% ] 3.56% | 893,087 | 13.4% |
[ 4.0% - 4.5% ] 4.04% | 437,608 | 13.7% |
[ 4.0% - 4.5% ] 4.49% | 276,796 | 12.5% |
[ 4.5% - 5.0% ] 4.97% | 354,801 | 11.9% |
[ 5.0% - 5.5% ] 5.46% | 195,660 | 12.6% |
[ 5.5% - 6.0% ] 5.92% | 106,076 | 9.9% |
[ 6.0% - 6.5% ] 6.40% | 96,219 | 14.8% |
[ 6.5% - 7.0% ] 6.91% | 64,443 | 12.1% |
[ 7.0% - 7.5% ] 7.32% | 53,542 | 10.5% |
[ 7.5% - 8.0% ] 7.80% | 58,122 | 10.3% |
[ 8.0% - 8.5% ] 8.29% | 20,414 | 15.9% |
[ 8.5% - 9.0% ] 8.76% | 18,784 | 10.7% |
[ 9.0% - 9.5% ] 9.26% | 18,047 | 10.7% |
[ 9.5% - 10.0% ] 9.76% | 17,904 | 9.7% |
[ 10.0% - 10.5% ] 10.27% | 9,141 | 11.2% |
[ 10.5% - 11.0% ] 10.72% | 9,304 | 15.8% |
[ 11.0% - 11.5% ] 11.17% | 5,123 | 15.2% |
[ 11.5% - 12.0% ] 11.62% | 13,992 | 8.1% |
[ 12.0% - 12.5% ] 12.20% | 14,051 | 15.6% |
[ 12.5% - 13.0% ] 12.52% | 3,146 | 28.0% |
[ 12.5% - 13.0% ] 12.99% | 2,302 | 17.3% |
[ 13.0% - 13.5% ] 13.47% | 7,577 | 11.9% |
[ 13.5% - 14.0% ] 13.99% | 4,452 | 16.7% |
[ 14.5% - 15.0% ] 14.54% | 7,911 | 22.6% |
[ 14.5% - 15.0% ] 14.90% | 1,295 | 14.7% |
[ 15.5% - 16.0% ] 15.55% | 1,640 | 18.8% |
[ 15.5% - 16.0% ] 15.85% | 2,675 | 13.7% |
[ 16.5% - 17.0% ] 16.92% | 1,034 | 10.9% |
[ 17.5% - 18.0% ] 17.51% | 1,051 | 9.9% |
[ 17.5% - 18.0% ] 17.83% | 1,722 | 13.4% |
[ 18.0% - 18.5% ] 18.43% | 9,039 | 13.1% |
[ 18.5% - 19.0% ] 18.68% | 91 | 4.5% |
[ 19.0% - 19.5% ] 19.31% | 404 | 41.4% |
[ 19.5% - 20.0% ] 19.81% | 429 | 21.3% |
[ 20.0% - 20.5% ] 20.28% | 143 | 15.5% |
[ 20.5% - 21.0% ] 20.60% | 937 | 43.4% |
[ 21.5% - 22.0% ] 21.96% | 1,111 | 3.0% |
[ 22.5% - 23.0% ] 22.53% | 2,632 | 11.8% |
[ 22.5% - 23.0% ] 22.97% | 74 | 48.3% |
[ 24.5% - 25.0% ] 24.53% | 428 | 27.2% |
[ 25.5% - 26.0% ] 25.81% | 93 | 19.2% |
[ 26.5% - 27.0% ] 26.56% | 64 | 20.8% |
[ 26.5% - 27.0% ] 26.94% | 386 | 13.6% |
[ 27.5% - 28.0% ] 27.62% | 105 | 43.9% |
[ 31.0% - 31.5% ] 31.21% | 173 | 56.8% |
[ 34.0% - 34.5% ] 34.23% | 222 | 9.2% |
[ 36.0% - 36.5% ] 36.30% | 146 | 60.3% |
[ 54.0% - 54.5% ] 54.17% | 24 | 100.0% |
[ 73.0% - 73.5% ] 73.17% | 41 | 26.8% |