Danish Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Danish Female Poverty Among 25-34 Year Olds
12.8%
POVERTY | FEMALES 25-34
93.9/ 100
METRIC RATING
111th/ 347
METRIC RANK
Danish Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 461,269,939 people shows a moderate positive correlation between the proportion of Danes and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.438 and weighted average of 12.8%. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.48% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Danes 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 Danes 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 Danes 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 Danes by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Danes are Immigrants from Morocco (12.8%, a difference of 0.020%), Immigrants from Syria (12.8%, a difference of 0.060%), Australian (12.8%, a difference of 0.070%), Immigrants from Southern Europe (12.8%, a difference of 0.13%), and Immigrants from Peru (12.7%, a difference of 0.15%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Swedes | 95.4 /100 | #104 | Exceptional 12.7% |
| Immigrants from South Africa | 95.3 /100 | #105 | Exceptional 12.7% |
| Tsimshian | 95.1 /100 | #106 | Exceptional 12.7% |
| Poles | 94.9 /100 | #107 | Exceptional 12.7% |
| Immigrants from Norway | 94.4 /100 | #108 | Exceptional 12.7% |
| Immigrants from Peru | 94.3 /100 | #109 | Exceptional 12.7% |
| Australians | 94.1 /100 | #110 | Exceptional 12.8% |
| Danes | 93.9 /100 | #111 | Exceptional 12.8% |
| Immigrants from Morocco | 93.9 /100 | #112 | Exceptional 12.8% |
| Immigrants from Syria | 93.8 /100 | #113 | Exceptional 12.8% |
| Immigrants from Southern Europe | 93.6 /100 | #114 | Exceptional 12.8% |
| Immigrants from Brazil | 93.3 /100 | #115 | Exceptional 12.8% |
| 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% |
Danish Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Danish Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.18% | 3.9% |
| Maximum | 53.8% | 50.0% |
| Range | 53.7% | 46.1% |
| Mean | 15.2% | 18.8% |
| Median | 13.4% | 13.4% |
| Interquartile 25% (IQ1) | 6.5% | 11.0% |
| Interquartile 75% (IQ3) | 20.7% | 21.7% |
| Interquartile Range (IQR) | 14.2% | 10.7% |
| Standard Deviation (Sample) | 11.3% | 12.5% |
| Standard Deviation (Population) | 11.2% | 12.4% |
Correlation Details
| Danish Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.18% | 350,775,568 | 14.5% |
[ 0.5% - 1.0% ] 0.71% | 67,135,781 | 11.7% |
[ 1.0% - 1.5% ] 1.20% | 23,292,779 | 11.3% |
[ 1.5% - 2.0% ] 1.70% | 8,372,776 | 12.5% |
[ 2.0% - 2.5% ] 2.24% | 2,884,372 | 12.7% |
[ 2.5% - 3.0% ] 2.74% | 1,796,885 | 12.0% |
[ 3.0% - 3.5% ] 3.22% | 1,324,625 | 12.5% |
[ 3.5% - 4.0% ] 3.74% | 1,527,575 | 10.5% |
[ 4.0% - 4.5% ] 4.21% | 1,096,944 | 11.7% |
[ 4.5% - 5.0% ] 4.73% | 891,656 | 10.8% |
[ 5.0% - 5.5% ] 5.27% | 745,196 | 12.5% |
[ 5.5% - 6.0% ] 5.78% | 440,509 | 11.2% |
[ 6.0% - 6.5% ] 6.18% | 224,964 | 15.0% |
[ 6.5% - 7.0% ] 6.81% | 165,254 | 11.2% |
[ 7.0% - 7.5% ] 7.23% | 99,705 | 14.8% |
[ 7.5% - 8.0% ] 7.76% | 163,508 | 10.9% |
[ 8.0% - 8.5% ] 8.28% | 96,096 | 11.6% |
[ 8.5% - 9.0% ] 8.77% | 43,328 | 17.6% |
[ 9.0% - 9.5% ] 9.29% | 15,964 | 22.0% |
[ 9.5% - 10.0% ] 9.78% | 27,108 | 11.9% |
[ 10.0% - 10.5% ] 10.40% | 13,475 | 21.2% |
[ 10.5% - 11.0% ] 10.75% | 21,395 | 8.4% |
[ 11.0% - 11.5% ] 11.22% | 20,389 | 4.1% |
[ 11.5% - 12.0% ] 11.76% | 4,539 | 16.2% |
[ 12.0% - 12.5% ] 12.17% | 2,374 | 9.8% |
[ 12.5% - 13.0% ] 12.70% | 14,021 | 26.6% |
[ 13.0% - 13.5% ] 13.41% | 11,538 | 21.5% |
[ 13.5% - 14.0% ] 13.78% | 8,446 | 13.4% |
[ 14.0% - 14.5% ] 14.37% | 10,685 | 24.8% |
[ 14.5% - 15.0% ] 14.85% | 2,532 | 20.9% |
[ 15.5% - 16.0% ] 15.69% | 1,842 | 48.9% |
[ 16.0% - 16.5% ] 16.35% | 526 | 8.3% |
[ 16.5% - 17.0% ] 16.73% | 4,890 | 12.9% |
[ 17.0% - 17.5% ] 17.36% | 1,590 | 13.5% |
[ 17.5% - 18.0% ] 17.68% | 2,336 | 15.0% |
[ 18.0% - 18.5% ] 18.05% | 770 | 14.7% |
[ 18.5% - 19.0% ] 18.68% | 2,206 | 9.7% |
[ 19.0% - 19.5% ] 19.19% | 3,559 | 28.6% |
[ 20.0% - 20.5% ] 20.00% | 800 | 4.8% |
[ 20.0% - 20.5% ] 20.20% | 3,708 | 39.6% |
[ 21.0% - 21.5% ] 21.19% | 2,869 | 47.3% |
[ 21.5% - 22.0% ] 21.78% | 4,243 | 46.4% |
[ 22.5% - 23.0% ] 22.52% | 222 | 10.0% |
[ 25.0% - 25.5% ] 25.43% | 2,937 | 7.9% |
[ 26.0% - 26.5% ] 26.11% | 1,463 | 33.3% |
[ 27.0% - 27.5% ] 27.36% | 793 | 3.9% |
[ 28.5% - 29.0% ] 28.78% | 2,946 | 10.7% |
[ 29.5% - 30.0% ] 29.82% | 560 | 50.0% |
[ 30.5% - 31.0% ] 30.53% | 416 | 50.0% |
[ 34.5% - 35.0% ] 34.79% | 891 | 21.3% |
[ 37.5% - 38.0% ] 37.98% | 129 | 40.0% |
[ 41.0% - 41.5% ] 41.45% | 152 | 33.3% |
[ 53.5% - 54.0% ] 53.85% | 104 | 18.2% |