Chinese Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Chinese Female Poverty Among 25-34 Year Olds
11.0%
POVERTY | FEMALES 25-34
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
Chinese Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 64,632,292 people shows a poor negative correlation between the proportion of Chinese and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.121 and weighted average of 11.0%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.62% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Chinese 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 Chinese 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 Chinese 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 Chinese by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Chinese are Immigrants from Iran (11.0%, a difference of 0.70%), Immigrants from Singapore (11.1%, a difference of 1.1%), Immigrants from Lithuania (11.1%, a difference of 1.2%), Immigrants from Korea (11.1%, a difference of 1.7%), and Immigrants from Ireland (11.2%, a difference of 1.8%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Immigrants from India | 100.0 /100 | #1 | Exceptional 9.7% |
| Immigrants from Taiwan | 100.0 /100 | #2 | Exceptional 10.0% |
| Filipinos | 100.0 /100 | #3 | Exceptional 10.2% |
| Thais | 100.0 /100 | #4 | Exceptional 10.2% |
| Immigrants from Hong Kong | 100.0 /100 | #5 | Exceptional 10.4% |
| Immigrants from South Central Asia | 100.0 /100 | #6 | Exceptional 10.8% |
| Chinese | 100.0 /100 | #7 | Exceptional 11.0% |
| Immigrants from Iran | 100.0 /100 | #8 | Exceptional 11.0% |
| Immigrants from Singapore | 100.0 /100 | #9 | Exceptional 11.1% |
| Immigrants from Lithuania | 100.0 /100 | #10 | Exceptional 11.1% |
| Immigrants from Korea | 100.0 /100 | #11 | Exceptional 11.1% |
| Immigrants from Ireland | 100.0 /100 | #12 | Exceptional 11.2% |
| Burmese | 100.0 /100 | #13 | Exceptional 11.2% |
| Indians (Asian) | 100.0 /100 | #14 | Exceptional 11.2% |
| Assyrians/Chaldeans/Syriacs | 100.0 /100 | #15 | Exceptional 11.2% |
Chinese Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Chinese Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.0087% | 2.1% |
| Maximum | 4.6% | 25.7% |
| Range | 4.6% | 23.7% |
| Mean | 1.3% | 11.2% |
| Median | 1.1% | 11.6% |
| Interquartile 25% (IQ1) | 0.50% | 7.1% |
| Interquartile 75% (IQ3) | 1.7% | 13.4% |
| Interquartile Range (IQR) | 1.2% | 6.3% |
| Standard Deviation (Sample) | 1.0% | 5.3% |
| Standard Deviation (Population) | 1.0% | 5.3% |
Correlation Details
| Chinese Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.0087% | 53,055,746 | 13.9% |
[ 0.0% - 0.5% ] 0.059% | 5,041,697 | 11.1% |
[ 0.0% - 0.5% ] 0.10% | 1,517,908 | 10.7% |
[ 0.0% - 0.5% ] 0.14% | 1,118,016 | 11.6% |
[ 0.0% - 0.5% ] 0.19% | 502,245 | 11.1% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 9.6% |
[ 0.0% - 0.5% ] 0.27% | 241,739 | 14.6% |
[ 0.0% - 0.5% ] 0.31% | 264,410 | 12.4% |
[ 0.0% - 0.5% ] 0.35% | 167,501 | 15.4% |
[ 0.0% - 0.5% ] 0.39% | 100,706 | 12.8% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 11.6% |
[ 0.0% - 0.5% ] 0.47% | 64,704 | 25.3% |
[ 0.5% - 1.0% ] 0.52% | 111,609 | 11.8% |
[ 0.5% - 1.0% ] 0.56% | 78,542 | 18.0% |
[ 0.5% - 1.0% ] 0.60% | 263,904 | 7.4% |
[ 0.5% - 1.0% ] 0.65% | 102,015 | 7.6% |
[ 0.5% - 1.0% ] 0.70% | 114,487 | 12.9% |
[ 0.5% - 1.0% ] 0.71% | 64,294 | 19.4% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 10.3% |
[ 0.5% - 1.0% ] 0.82% | 24,095 | 6.4% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 13.5% |
[ 0.5% - 1.0% ] 0.89% | 77,577 | 11.7% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 3.0% |
[ 1.0% - 1.5% ] 1.00% | 52,024 | 13.8% |
[ 1.0% - 1.5% ] 1.05% | 11,576 | 12.5% |
[ 1.0% - 1.5% ] 1.09% | 38,517 | 12.2% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 5.4% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 6.3% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 5.5% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 3.1% |
[ 1.0% - 1.5% ] 1.33% | 27,739 | 6.9% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 9.2% |
[ 1.0% - 1.5% ] 1.44% | 49,512 | 16.0% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 2.3% |
[ 1.5% - 2.0% ] 1.63% | 45,392 | 5.7% |
[ 1.5% - 2.0% ] 1.67% | 46,812 | 4.7% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 11.0% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 13.2% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 9.9% |
[ 1.5% - 2.0% ] 1.87% | 7,238 | 16.2% |
[ 1.5% - 2.0% ] 1.94% | 465 | 13.3% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 23.0% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 9.1% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 2.1% |
[ 2.0% - 2.5% ] 2.28% | 482 | 25.7% |
[ 3.0% - 3.5% ] 3.23% | 279 | 13.3% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 9.5% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 4.5% |
[ 4.5% - 5.0% ] 4.56% | 548 | 11.8% |