Danish Female Poverty Among 18-24 Year Olds
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Female Poverty Among 18-24 Year Olds
Danish Female Poverty Among 18-24 Year Olds
20.1%
POVERTY | FEMALES 18-24
71.5/ 100
METRIC RATING
155th/ 347
METRIC RANK
Danish Female Poverty Among 18-24 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 453,324,979 people shows a substantial positive correlation between the proportion of Danes and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.540 and weighted average of 20.1%. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 1.3% in poverty level among females between the ages 18 and 24.
It is essential to understand that the correlation between the percentage of Danes and poverty level among females between the ages 18 and 24 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 18 and 24 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 18 and 24 due to other factors.
Demographics Similar to Danes by Female Poverty Among 18-24 Year Olds
In terms of female poverty among 18-24 year olds, the demographic groups most similar to Danes are Trinidadian and Tobagonian (20.1%, a difference of 0.010%), Immigrants from Uganda (20.1%, a difference of 0.020%), Immigrants from Latin America (20.1%, a difference of 0.10%), Immigrants from Lebanon (20.2%, a difference of 0.14%), and Thai (20.2%, a difference of 0.18%).
| Demographics | Rating | Rank | Female Poverty Among 18-24 Year Olds |
| Eastern Europeans | 71.9 /100 | #148 | Good 20.0% |
| Canadians | 71.9 /100 | #149 | Good 20.0% |
| Chinese | 71.8 /100 | #150 | Good 20.1% |
| Immigrants from England | 71.8 /100 | #151 | Good 20.1% |
| Immigrants from Latvia | 71.7 /100 | #152 | Good 20.1% |
| Hungarians | 71.7 /100 | #153 | Good 20.1% |
| Trinidadians and Tobagonians | 71.5 /100 | #154 | Good 20.1% |
| Danes | 71.5 /100 | #155 | Good 20.1% |
| Immigrants from Uganda | 71.5 /100 | #156 | Good 20.1% |
| Immigrants from Latin America | 71.4 /100 | #157 | Good 20.1% |
| Immigrants from Lebanon | 71.4 /100 | #158 | Good 20.2% |
| Thais | 71.3 /100 | #159 | Good 20.2% |
| Ethiopians | 71.3 /100 | #160 | Good 20.2% |
| Central Americans | 71.3 /100 | #161 | Good 20.2% |
| Syrians | 71.2 /100 | #162 | Good 20.2% |
Danish Female Poverty Among 18-24 Year Olds Correlation Summary
| Measurement | Danish Data | Female Poverty Among 18-24 Year Olds Data |
| Minimum | 0.18% | 4.8% |
| Maximum | 40.9% | 100.0% |
| Range | 40.8% | 95.2% |
| Mean | 14.3% | 31.2% |
| Median | 12.8% | 21.0% |
| Interquartile 25% (IQ1) | 6.2% | 15.7% |
| Interquartile 75% (IQ3) | 20.9% | 38.9% |
| Interquartile Range (IQR) | 14.7% | 23.3% |
| Standard Deviation (Sample) | 10.0% | 24.8% |
| Standard Deviation (Population) | 9.9% | 24.6% |
Correlation Details
| Danish Percentile | Sample Size | Female Poverty Among 18-24 Year Olds |
[ 0.0% - 0.5% ] 0.18% | 340,721,161 | 21.0% |
[ 0.5% - 1.0% ] 0.70% | 69,729,004 | 19.6% |
[ 1.0% - 1.5% ] 1.20% | 22,337,444 | 20.3% |
[ 1.5% - 2.0% ] 1.71% | 9,151,426 | 21.5% |
[ 2.0% - 2.5% ] 2.23% | 2,809,956 | 20.3% |
[ 2.5% - 3.0% ] 2.76% | 1,916,008 | 22.1% |
[ 3.0% - 3.5% ] 3.24% | 1,586,729 | 17.3% |
[ 3.5% - 4.0% ] 3.77% | 939,415 | 20.5% |
[ 4.0% - 4.5% ] 4.21% | 1,171,913 | 14.9% |
[ 4.5% - 5.0% ] 4.78% | 759,489 | 12.7% |
[ 5.0% - 5.5% ] 5.30% | 382,908 | 21.3% |
[ 5.5% - 6.0% ] 5.69% | 497,772 | 30.9% |
[ 6.0% - 6.5% ] 6.22% | 303,883 | 19.0% |
[ 6.5% - 7.0% ] 6.66% | 253,291 | 12.4% |
[ 7.0% - 7.5% ] 7.25% | 220,955 | 16.1% |
[ 7.5% - 8.0% ] 7.67% | 126,900 | 15.0% |
[ 8.0% - 8.5% ] 8.22% | 99,907 | 15.7% |
[ 8.5% - 9.0% ] 8.70% | 107,822 | 7.2% |
[ 9.0% - 9.5% ] 9.22% | 59,838 | 16.6% |
[ 9.5% - 10.0% ] 9.73% | 44,946 | 9.6% |
[ 10.0% - 10.5% ] 10.26% | 4,503 | 33.1% |
[ 10.5% - 11.0% ] 10.73% | 7,835 | 43.5% |
[ 11.0% - 11.5% ] 11.34% | 8,163 | 15.7% |
[ 11.5% - 12.0% ] 11.62% | 11,378 | 24.5% |
[ 12.0% - 12.5% ] 12.33% | 3,697 | 45.2% |
[ 12.5% - 13.0% ] 12.82% | 16,896 | 38.9% |
[ 13.0% - 13.5% ] 13.22% | 10,063 | 28.6% |
[ 13.5% - 14.0% ] 13.75% | 2,901 | 66.6% |
[ 14.0% - 14.5% ] 14.44% | 457 | 4.8% |
[ 14.5% - 15.0% ] 14.78% | 663 | 5.0% |
[ 15.0% - 15.5% ] 15.28% | 3,736 | 26.4% |
[ 15.5% - 16.0% ] 15.93% | 364 | 50.0% |
[ 16.0% - 16.5% ] 16.18% | 5,598 | 20.1% |
[ 16.5% - 17.0% ] 16.84% | 6,433 | 19.3% |
[ 17.0% - 17.5% ] 17.28% | 3,101 | 26.7% |
[ 17.5% - 18.0% ] 17.78% | 360 | 50.0% |
[ 18.0% - 18.5% ] 18.32% | 2,560 | 14.1% |
[ 18.5% - 19.0% ] 18.60% | 473 | 100.0% |
[ 20.5% - 21.0% ] 20.87% | 733 | 64.3% |
[ 22.0% - 22.5% ] 22.35% | 3,741 | 9.0% |
[ 23.5% - 24.0% ] 23.75% | 1,217 | 13.9% |
[ 24.0% - 24.5% ] 24.13% | 1,811 | 22.2% |
[ 26.0% - 26.5% ] 26.44% | 174 | 100.0% |
[ 26.5% - 27.0% ] 26.76% | 2,986 | 14.3% |
[ 27.0% - 27.5% ] 27.04% | 233 | 36.4% |
[ 27.5% - 28.0% ] 27.73% | 595 | 32.3% |
[ 28.0% - 28.5% ] 28.43% | 978 | 66.7% |
[ 30.5% - 31.0% ] 30.52% | 770 | 69.2% |
[ 34.5% - 35.0% ] 34.70% | 706 | 17.6% |
[ 35.0% - 35.5% ] 35.47% | 750 | 100.0% |
[ 40.5% - 41.0% ] 40.95% | 337 | 81.8% |