Chinese Female Poverty Among 18-24 Year Olds
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Female Poverty Among 18-24 Year Olds
Chinese Female Poverty Among 18-24 Year Olds
16.2%
POVERTY | FEMALES 18-24
100.0/ 100
METRIC RATING
2nd/ 347
METRIC RANK
Chinese Female Poverty Among 18-24 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 64,601,835 people shows no correlation between the proportion of Chinese and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.004 and weighted average of 16.2%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.023% in poverty level among females between the ages 18 and 24.
It is essential to understand that the correlation between the percentage of Chinese 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 Chinese 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 Chinese 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 Chinese by Female Poverty Among 18-24 Year Olds
In terms of female poverty among 18-24 year olds, the demographic groups most similar to Chinese are Immigrants from Cuba (16.4%, a difference of 1.7%), Immigrants from India (16.4%, a difference of 1.7%), Immigrants from Portugal (16.5%, a difference of 2.4%), Immigrants from Philippines (16.7%, a difference of 3.2%), and Immigrants from the Azores (16.7%, a difference of 3.3%).
| Demographics | Rating | Rank | Female Poverty Among 18-24 Year Olds |
| Assyrians/Chaldeans/Syriacs | 100.0 /100 | #1 | Exceptional 13.7% |
| Chinese | 100.0 /100 | #2 | Exceptional 16.2% |
| Immigrants from Cuba | 100.0 /100 | #3 | Exceptional 16.4% |
| Immigrants from India | 100.0 /100 | #4 | Exceptional 16.4% |
| Immigrants from Portugal | 100.0 /100 | #5 | Exceptional 16.5% |
| Immigrants from Philippines | 100.0 /100 | #6 | Exceptional 16.7% |
| Immigrants from the Azores | 100.0 /100 | #7 | Exceptional 16.7% |
| Immigrants from Bolivia | 100.0 /100 | #8 | Exceptional 16.7% |
| Immigrants from Peru | 100.0 /100 | #9 | Exceptional 16.9% |
| Koreans | 100.0 /100 | #10 | Exceptional 16.9% |
| Thais | 100.0 /100 | #11 | Exceptional 17.0% |
| Immigrants from Pakistan | 100.0 /100 | #12 | Exceptional 17.0% |
| Immigrants from Poland | 100.0 /100 | #13 | Exceptional 17.1% |
| Tongans | 100.0 /100 | #14 | Exceptional 17.1% |
| Cubans | 100.0 /100 | #15 | Exceptional 17.2% |
Chinese Female Poverty Among 18-24 Year Olds Correlation Summary
| Measurement | Chinese Data | Female Poverty Among 18-24 Year Olds Data |
| Minimum | 0.0087% | 2.1% |
| Maximum | 8.3% | 39.8% |
| Range | 8.3% | 37.7% |
| Mean | 1.5% | 16.3% |
| Median | 1.1% | 15.5% |
| Interquartile 25% (IQ1) | 0.49% | 9.9% |
| Interquartile 75% (IQ3) | 1.7% | 21.3% |
| Interquartile Range (IQR) | 1.2% | 11.5% |
| Standard Deviation (Sample) | 1.7% | 9.0% |
| Standard Deviation (Population) | 1.7% | 8.9% |
Correlation Details
| Chinese Percentile | Sample Size | Female Poverty Among 18-24 Year Olds |
[ 0.0% - 0.5% ] 0.0087% | 53,048,809 | 23.4% |
[ 0.0% - 0.5% ] 0.059% | 5,022,981 | 16.5% |
[ 0.0% - 0.5% ] 0.10% | 1,520,152 | 15.5% |
[ 0.0% - 0.5% ] 0.14% | 1,091,595 | 16.2% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 17.5% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 10.0% |
[ 0.0% - 0.5% ] 0.27% | 236,912 | 15.8% |
[ 0.0% - 0.5% ] 0.31% | 255,122 | 13.6% |
[ 0.0% - 0.5% ] 0.35% | 171,661 | 26.0% |
[ 0.0% - 0.5% ] 0.39% | 93,560 | 13.1% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 17.1% |
[ 0.0% - 0.5% ] 0.47% | 73,196 | 27.2% |
[ 0.5% - 1.0% ] 0.52% | 115,502 | 19.1% |
[ 0.5% - 1.0% ] 0.56% | 74,606 | 29.1% |
[ 0.5% - 1.0% ] 0.60% | 262,886 | 12.2% |
[ 0.5% - 1.0% ] 0.64% | 102,710 | 15.4% |
[ 0.5% - 1.0% ] 0.70% | 108,996 | 9.3% |
[ 0.5% - 1.0% ] 0.72% | 77,335 | 18.7% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 18.9% |
[ 0.5% - 1.0% ] 0.82% | 23,358 | 10.8% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 10.9% |
[ 0.5% - 1.0% ] 0.89% | 78,354 | 13.1% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 11.9% |
[ 1.0% - 1.5% ] 1.00% | 52,024 | 16.3% |
[ 1.0% - 1.5% ] 1.07% | 6,555 | 39.0% |
[ 1.0% - 1.5% ] 1.09% | 38,517 | 22.9% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 2.1% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 9.1% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 11.4% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 5.0% |
[ 1.0% - 1.5% ] 1.33% | 27,739 | 25.6% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 3.5% |
[ 1.0% - 1.5% ] 1.44% | 49,512 | 34.7% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 9.5% |
[ 1.5% - 2.0% ] 1.63% | 38,674 | 3.1% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 5.6% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 19.4% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 9.5% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 7.1% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 22.7% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 14.7% |
[ 2.0% - 2.5% ] 2.14% | 55,888 | 12.1% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 39.8% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 30.5% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 26.0% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 2.2% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 17.9% |
[ 6.5% - 7.0% ] 6.68% | 853 | 9.7% |
[ 8.0% - 8.5% ] 8.28% | 157 | 20.0% |