Swiss Female Poverty
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Swiss
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Female Poverty
Swiss Female Poverty
12.2%
POVERTY | FEMALES
97.7/ 100
METRIC RATING
69th/ 347
METRIC RANK
Swiss Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 464,552,447 people shows a weak positive correlation between the proportion of Swiss and poverty level among females in the United States with a correlation coefficient (R) of 0.275 and weighted average of 12.2%. On average, for every 1% (one percent) increase in Swiss within a typical geography, there is an increase of 0.21% in poverty level among females.
It is essential to understand that the correlation between the percentage of Swiss and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Swiss influences an upward or downward trend in the level of poverty level among females within an area, or if Swiss simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Swiss by Female Poverty
In terms of female poverty, the demographic groups most similar to Swiss are Immigrants from Belgium (12.2%, a difference of 0.030%), Immigrants from Netherlands (12.2%, a difference of 0.10%), Immigrants from Eastern Asia (12.2%, a difference of 0.14%), Carpatho Rusyn (12.2%, a difference of 0.15%), and Cambodian (12.2%, a difference of 0.19%).
| Demographics | Rating | Rank | Female Poverty |
| Immigrants from Italy | 98.0 /100 | #62 | Exceptional 12.2% |
| Ukrainians | 98.0 /100 | #63 | Exceptional 12.2% |
| Germans | 98.0 /100 | #64 | Exceptional 12.2% |
| Indians (Asian) | 97.9 /100 | #65 | Exceptional 12.2% |
| Austrians | 97.9 /100 | #66 | Exceptional 12.2% |
| Immigrants from Eastern Asia | 97.8 /100 | #67 | Exceptional 12.2% |
| Immigrants from Netherlands | 97.8 /100 | #68 | Exceptional 12.2% |
| Swiss | 97.7 /100 | #69 | Exceptional 12.2% |
| Immigrants from Belgium | 97.7 /100 | #70 | Exceptional 12.2% |
| Carpatho Rusyns | 97.6 /100 | #71 | Exceptional 12.2% |
| Cambodians | 97.5 /100 | #72 | Exceptional 12.2% |
| Zimbabweans | 97.5 /100 | #73 | Exceptional 12.3% |
| Immigrants from Canada | 97.5 /100 | #74 | Exceptional 12.3% |
| Europeans | 97.4 /100 | #75 | Exceptional 12.3% |
| Immigrants from Eastern Europe | 97.2 /100 | #76 | Exceptional 12.3% |
Swiss Female Poverty Correlation Summary
| Measurement | Swiss Data | Female Poverty Data |
| Minimum | 0.18% | 1.9% |
| Maximum | 47.2% | 50.0% |
| Range | 47.0% | 48.1% |
| Mean | 16.7% | 11.9% |
| Median | 15.6% | 10.2% |
| Interquartile 25% (IQ1) | 7.8% | 8.1% |
| Interquartile 75% (IQ3) | 23.9% | 12.6% |
| Interquartile Range (IQR) | 16.1% | 4.5% |
| Standard Deviation (Sample) | 11.0% | 8.4% |
| Standard Deviation (Population) | 10.9% | 8.3% |
Correlation Details
| Swiss Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.18% | 392,965,544 | 14.0% |
[ 0.5% - 1.0% ] 0.68% | 51,804,354 | 10.7% |
[ 1.0% - 1.5% ] 1.21% | 10,675,252 | 11.0% |
[ 1.5% - 2.0% ] 1.70% | 3,716,657 | 10.0% |
[ 2.0% - 2.5% ] 2.20% | 1,685,003 | 11.4% |
[ 2.5% - 3.0% ] 2.72% | 1,146,242 | 11.2% |
[ 3.0% - 3.5% ] 3.20% | 667,666 | 9.4% |
[ 3.5% - 4.0% ] 3.73% | 426,909 | 10.0% |
[ 4.0% - 4.5% ] 4.24% | 240,321 | 10.7% |
[ 4.5% - 5.0% ] 4.74% | 197,147 | 12.2% |
[ 5.0% - 5.5% ] 5.25% | 135,136 | 9.2% |
[ 5.5% - 6.0% ] 5.73% | 183,940 | 10.2% |
[ 6.0% - 6.5% ] 6.20% | 127,357 | 10.8% |
[ 6.5% - 7.0% ] 6.74% | 60,786 | 11.6% |
[ 7.0% - 7.5% ] 7.26% | 110,550 | 10.9% |
[ 7.5% - 8.0% ] 7.80% | 30,768 | 7.3% |
[ 8.0% - 8.5% ] 8.22% | 36,641 | 8.1% |
[ 8.5% - 9.0% ] 8.74% | 35,413 | 6.1% |
[ 9.0% - 9.5% ] 9.35% | 41,724 | 9.9% |
[ 9.5% - 10.0% ] 9.77% | 24,177 | 9.3% |
[ 10.0% - 10.5% ] 10.23% | 9,007 | 12.6% |
[ 10.5% - 11.0% ] 10.73% | 39,111 | 8.1% |
[ 11.0% - 11.5% ] 11.35% | 30,288 | 7.7% |
[ 11.5% - 12.0% ] 11.72% | 8,488 | 9.6% |
[ 12.0% - 12.5% ] 12.27% | 11,601 | 11.7% |
[ 12.5% - 13.0% ] 12.77% | 8,987 | 16.6% |
[ 13.0% - 13.5% ] 13.10% | 8,728 | 19.6% |
[ 13.5% - 14.0% ] 13.73% | 10,984 | 5.9% |
[ 14.0% - 14.5% ] 14.29% | 6,542 | 8.8% |
[ 14.5% - 15.0% ] 14.61% | 8,732 | 14.9% |
[ 15.0% - 15.5% ] 15.32% | 9,558 | 11.1% |
[ 15.5% - 16.0% ] 15.56% | 4,698 | 5.8% |
[ 16.0% - 16.5% ] 16.17% | 2,047 | 24.9% |
[ 16.5% - 17.0% ] 16.67% | 8,627 | 8.1% |
[ 17.0% - 17.5% ] 17.18% | 1,205 | 8.2% |
[ 17.5% - 18.0% ] 17.55% | 2,935 | 5.2% |
[ 18.0% - 18.5% ] 18.35% | 13,217 | 11.1% |
[ 18.5% - 19.0% ] 18.82% | 15,653 | 9.1% |
[ 19.0% - 19.5% ] 19.26% | 2,965 | 10.7% |
[ 19.5% - 20.0% ] 19.73% | 12,795 | 11.6% |
[ 20.0% - 20.5% ] 20.11% | 5,072 | 8.4% |
[ 20.5% - 21.0% ] 20.74% | 2,430 | 13.1% |
[ 21.0% - 21.5% ] 21.28% | 860 | 8.4% |
[ 21.5% - 22.0% ] 21.75% | 3,489 | 9.9% |
[ 22.0% - 22.5% ] 22.26% | 328 | 6.9% |
[ 22.5% - 23.0% ] 22.66% | 128 | 4.5% |
[ 23.0% - 23.5% ] 23.12% | 1,514 | 6.7% |
[ 23.5% - 24.0% ] 23.91% | 2,154 | 17.2% |
[ 24.0% - 24.5% ] 24.37% | 119 | 3.2% |
[ 24.5% - 25.0% ] 24.74% | 97 | 19.0% |
[ 25.0% - 25.5% ] 25.29% | 601 | 3.3% |
[ 25.5% - 26.0% ] 25.73% | 2,274 | 15.3% |
[ 26.0% - 26.5% ] 26.34% | 991 | 17.5% |
[ 26.5% - 27.0% ] 26.62% | 1,221 | 12.4% |
[ 29.5% - 30.0% ] 29.58% | 142 | 24.6% |
[ 30.0% - 30.5% ] 30.19% | 361 | 49.5% |
[ 33.0% - 33.5% ] 33.00% | 100 | 23.3% |
[ 33.0% - 33.5% ] 33.33% | 279 | 13.6% |
[ 33.5% - 34.0% ] 33.95% | 1,302 | 5.3% |
[ 35.0% - 35.5% ] 35.32% | 201 | 8.9% |
[ 36.5% - 37.0% ] 36.87% | 651 | 1.9% |
[ 44.5% - 45.0% ] 44.83% | 58 | 50.0% |
[ 47.0% - 47.5% ] 47.19% | 320 | 3.3% |