Portuguese Female Poverty
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Portuguese
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Female Poverty
Portuguese Female Poverty
12.6%
POVERTY | FEMALES
93.1/ 100
METRIC RATING
108th/ 347
METRIC RANK
Portuguese Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 449,805,849 people shows a weak positive correlation between the proportion of Portuguese and poverty level among females in the United States with a correlation coefficient (R) of 0.247 and weighted average of 12.6%. On average, for every 1% (one percent) increase in Portuguese within a typical geography, there is an increase of 0.13% in poverty level among females.
It is essential to understand that the correlation between the percentage of Portuguese and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Portuguese influences an upward or downward trend in the level of poverty level among females within an area, or if Portuguese simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Portuguese by Female Poverty
In terms of female poverty, the demographic groups most similar to Portuguese are Immigrants from Zimbabwe (12.6%, a difference of 0.020%), Paraguayan (12.6%, a difference of 0.040%), Laotian (12.6%, a difference of 0.10%), Soviet Union (12.6%, a difference of 0.27%), and Immigrants from Turkey (12.6%, a difference of 0.29%).
Demographics | Rating | Rank | Female Poverty |
Tlingit-Haida | 94.8 /100 | #101 | Exceptional 12.5% |
Immigrants from China | 94.5 /100 | #102 | Exceptional 12.5% |
Slavs | 94.5 /100 | #103 | Exceptional 12.5% |
Palestinians | 94.3 /100 | #104 | Exceptional 12.5% |
Scottish | 94.1 /100 | #105 | Exceptional 12.5% |
Immigrants from Turkey | 93.8 /100 | #106 | Exceptional 12.6% |
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% |
Portuguese Female Poverty Correlation Summary
Measurement | Portuguese Data | Female Poverty Data |
Minimum | 0.18% | 1.8% |
Maximum | 64.0% | 37.9% |
Range | 63.8% | 36.1% |
Mean | 20.5% | 13.0% |
Median | 19.0% | 11.4% |
Interquartile 25% (IQ1) | 9.2% | 8.8% |
Interquartile 75% (IQ3) | 31.4% | 15.7% |
Interquartile Range (IQR) | 22.2% | 6.9% |
Standard Deviation (Sample) | 13.7% | 7.2% |
Standard Deviation (Population) | 13.6% | 7.2% |
Correlation Details
Portuguese Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.18% | 348,061,916 | 14.5% |
[ 0.5% - 1.0% ] 0.70% | 53,589,361 | 11.5% |
[ 1.0% - 1.5% ] 1.20% | 19,708,604 | 11.6% |
[ 1.5% - 2.0% ] 1.72% | 10,084,903 | 10.9% |
[ 2.0% - 2.5% ] 2.22% | 5,465,221 | 10.3% |
[ 2.5% - 3.0% ] 2.74% | 2,792,764 | 13.5% |
[ 3.0% - 3.5% ] 3.24% | 2,428,851 | 10.7% |
[ 3.5% - 4.0% ] 3.73% | 1,392,176 | 10.9% |
[ 4.0% - 4.5% ] 4.21% | 717,242 | 10.2% |
[ 4.5% - 5.0% ] 4.74% | 846,764 | 11.4% |
[ 5.0% - 5.5% ] 5.22% | 673,098 | 13.6% |
[ 5.5% - 6.0% ] 5.74% | 750,459 | 10.5% |
[ 6.0% - 6.5% ] 6.20% | 421,717 | 10.9% |
[ 6.5% - 7.0% ] 6.78% | 391,223 | 14.2% |
[ 7.0% - 7.5% ] 7.22% | 252,615 | 12.3% |
[ 7.5% - 8.0% ] 7.81% | 362,824 | 10.0% |
[ 8.0% - 8.5% ] 8.19% | 119,620 | 10.2% |
[ 8.5% - 9.0% ] 8.83% | 140,770 | 11.6% |
[ 9.0% - 9.5% ] 9.16% | 139,512 | 13.2% |
[ 9.5% - 10.0% ] 9.75% | 135,591 | 9.4% |
[ 10.0% - 10.5% ] 10.31% | 14,812 | 8.3% |
[ 10.5% - 11.0% ] 10.80% | 60,907 | 8.8% |
[ 11.0% - 11.5% ] 11.22% | 71,314 | 7.7% |
[ 11.5% - 12.0% ] 11.70% | 125,255 | 16.3% |
[ 12.0% - 12.5% ] 12.31% | 19,719 | 13.6% |
[ 12.5% - 13.0% ] 12.84% | 32,913 | 9.3% |
[ 13.0% - 13.5% ] 13.45% | 18,331 | 10.0% |
[ 13.5% - 14.0% ] 13.76% | 25,786 | 11.2% |
[ 14.0% - 14.5% ] 14.37% | 6,401 | 13.3% |
[ 14.5% - 15.0% ] 14.57% | 2,868 | 8.6% |
[ 15.0% - 15.5% ] 15.33% | 7,419 | 16.7% |
[ 15.5% - 16.0% ] 15.81% | 6,080 | 13.3% |
[ 16.0% - 16.5% ] 16.19% | 8,855 | 6.3% |
[ 16.5% - 17.0% ] 16.74% | 19,555 | 11.5% |
[ 17.5% - 18.0% ] 17.73% | 141 | 37.9% |
[ 18.0% - 18.5% ] 18.26% | 40,467 | 7.3% |
[ 18.5% - 19.0% ] 18.73% | 82,595 | 11.6% |
[ 19.0% - 19.5% ] 19.35% | 54,661 | 14.3% |
[ 19.5% - 20.0% ] 19.61% | 4,334 | 6.1% |
[ 20.0% - 20.5% ] 20.04% | 6,511 | 3.2% |
[ 20.5% - 21.0% ] 20.72% | 1,699 | 19.5% |
[ 21.0% - 21.5% ] 21.48% | 20,883 | 8.5% |
[ 22.0% - 22.5% ] 22.36% | 13,232 | 5.8% |
[ 22.5% - 23.0% ] 22.84% | 52,833 | 10.4% |
[ 23.0% - 23.5% ] 23.06% | 360 | 6.7% |
[ 24.0% - 24.5% ] 24.10% | 249 | 27.3% |
[ 24.5% - 25.0% ] 24.56% | 16,286 | 33.6% |
[ 25.0% - 25.5% ] 25.16% | 4,463 | 4.6% |
[ 25.5% - 26.0% ] 25.53% | 1,034 | 31.0% |
[ 26.0% - 26.5% ] 26.17% | 10,792 | 6.0% |
[ 27.0% - 27.5% ] 27.23% | 7,422 | 1.8% |
[ 28.0% - 28.5% ] 28.50% | 11,117 | 11.4% |
[ 28.5% - 29.0% ] 28.88% | 62,947 | 16.3% |
[ 29.0% - 29.5% ] 29.14% | 21,742 | 13.5% |
[ 30.5% - 31.0% ] 30.91% | 495 | 17.5% |
[ 31.0% - 31.5% ] 31.35% | 50,396 | 5.6% |
[ 31.5% - 32.0% ] 31.65% | 18,445 | 24.7% |
[ 32.0% - 32.5% ] 32.30% | 10,466 | 6.6% |
[ 32.5% - 33.0% ] 32.62% | 120,137 | 17.9% |
[ 33.0% - 33.5% ] 33.21% | 8,763 | 17.0% |
[ 33.5% - 34.0% ] 33.89% | 15,718 | 16.6% |
[ 34.5% - 35.0% ] 34.52% | 8,403 | 2.5% |
[ 35.0% - 35.5% ] 35.22% | 17,164 | 25.2% |
[ 36.0% - 36.5% ] 36.09% | 93,638 | 21.4% |
[ 37.0% - 37.5% ] 37.20% | 43,238 | 15.5% |
[ 37.5% - 38.0% ] 37.83% | 30,558 | 17.9% |
[ 38.0% - 38.5% ] 38.05% | 21,383 | 6.9% |
[ 38.5% - 39.0% ] 38.59% | 4,556 | 9.5% |
[ 39.0% - 39.5% ] 39.14% | 6,484 | 21.0% |
[ 41.0% - 41.5% ] 41.44% | 11,431 | 6.2% |
[ 43.0% - 43.5% ] 43.45% | 25,084 | 15.7% |
[ 48.0% - 48.5% ] 48.18% | 4,660 | 8.9% |
[ 48.5% - 49.0% ] 48.56% | 5,591 | 9.0% |
[ 64.0% - 64.5% ] 64.00% | 25 | 36.0% |