Immigrants from Hong Kong Single Female Poverty
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Immigrants from Hong Kong
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Single Female Poverty
Immigrants from Hong Kong Single Female Poverty
16.9%
POVERTY | SINGLE FEMALES
98.5/ 100
METRIC RATING
3rd/ 347
METRIC RANK
Immigrants from Hong Kong Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 249,192,052 people shows a moderate negative correlation between the proportion of Immigrants from Hong Kong and poverty level among single females in the United States with a correlation coefficient (R) of -0.401 and weighted average of 16.9%. On average, for every 1% (one percent) increase in Immigrants from Hong Kong within a typical geography, there is a decrease of 1.4% in poverty level among single females.

It is essential to understand that the correlation between the percentage of Immigrants from Hong Kong and poverty level among single females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Hong Kong influences an upward or downward trend in the level of poverty level among single females within an area, or if Immigrants from Hong Kong simply ended up residing in those areas with higher or lower levels of poverty level among single females due to other factors.
Demographics Similar to Immigrants from Hong Kong by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Immigrants from Hong Kong are Okinawan (16.8%, a difference of 0.46%), Immigrants from India (17.1%, a difference of 1.4%), Assyrian/Chaldean/Syriac (17.1%, a difference of 1.5%), Immigrants from Taiwan (16.6%, a difference of 1.8%), and Taiwanese (17.3%, a difference of 2.5%).
Demographics | Rating | Rank | Single Female Poverty |
Immigrants from Taiwan | 100 /100 | #1 | Exceptional 16.6% |
Okinawans | 98.9 /100 | #2 | Exceptional 16.8% |
Immigrants from Hong Kong | 98.5 /100 | #3 | Exceptional 16.9% |
Immigrants from India | 97.3 /100 | #4 | Exceptional 17.1% |
Assyrians/Chaldeans/Syriacs | 97.3 /100 | #5 | Exceptional 17.1% |
Taiwanese | 96.4 /100 | #6 | Exceptional 17.3% |
Immigrants from Lithuania | 95.1 /100 | #7 | Exceptional 17.6% |
Indians (Asian) | 95.1 /100 | #8 | Exceptional 17.6% |
Immigrants from Iran | 94.5 /100 | #9 | Exceptional 17.7% |
Japanese | 92.9 /100 | #10 | Exceptional 18.0% |
Immigrants from Bolivia | 92.4 /100 | #11 | Exceptional 18.1% |
Immigrants from Ireland | 92.3 /100 | #12 | Exceptional 18.1% |
Immigrants from South Central Asia | 92.1 /100 | #13 | Exceptional 18.2% |
Immigrants from North Macedonia | 92.1 /100 | #14 | Exceptional 18.2% |
Tsimshian | 92.0 /100 | #15 | Exceptional 18.2% |
Immigrants from Hong Kong Single Female Poverty Correlation Summary
Measurement | Immigrants from Hong Kong Data | Single Female Poverty Data |
Minimum | 0.025% | 5.6% |
Maximum | 5.6% | 36.4% |
Range | 5.6% | 30.7% |
Mean | 2.0% | 14.5% |
Median | 1.8% | 14.8% |
Interquartile 25% (IQ1) | 0.89% | 11.6% |
Interquartile 75% (IQ3) | 2.9% | 16.1% |
Interquartile Range (IQR) | 2.0% | 4.5% |
Standard Deviation (Sample) | 1.4% | 4.6% |
Standard Deviation (Population) | 1.4% | 4.6% |
Correlation Details
Immigrants from Hong Kong Percentile | Sample Size | Single Female Poverty |
[ 0.0% - 0.5% ] 0.025% | 112,549,361 | 23.0% |
[ 0.0% - 0.5% ] 0.080% | 53,686,834 | 20.2% |
[ 0.0% - 0.5% ] 0.14% | 21,917,870 | 17.9% |
[ 0.0% - 0.5% ] 0.19% | 11,159,713 | 16.3% |
[ 0.0% - 0.5% ] 0.25% | 7,804,584 | 16.2% |
[ 0.0% - 0.5% ] 0.30% | 5,689,044 | 16.9% |
[ 0.0% - 0.5% ] 0.35% | 3,750,627 | 15.6% |
[ 0.0% - 0.5% ] 0.41% | 12,882,632 | 22.1% |
[ 0.0% - 0.5% ] 0.47% | 2,826,493 | 14.9% |
[ 0.5% - 1.0% ] 0.52% | 1,794,857 | 16.6% |
[ 0.5% - 1.0% ] 0.57% | 1,683,290 | 18.0% |
[ 0.5% - 1.0% ] 0.63% | 962,703 | 15.1% |
[ 0.5% - 1.0% ] 0.69% | 782,889 | 15.8% |
[ 0.5% - 1.0% ] 0.74% | 890,481 | 14.9% |
[ 0.5% - 1.0% ] 0.80% | 1,078,038 | 15.7% |
[ 0.5% - 1.0% ] 0.85% | 669,621 | 13.0% |
[ 0.5% - 1.0% ] 0.92% | 644,634 | 13.6% |
[ 0.5% - 1.0% ] 0.96% | 360,001 | 14.8% |
[ 1.0% - 1.5% ] 1.02% | 375,941 | 17.7% |
[ 1.0% - 1.5% ] 1.07% | 529,969 | 14.8% |
[ 1.0% - 1.5% ] 1.14% | 334,087 | 17.0% |
[ 1.0% - 1.5% ] 1.18% | 563,602 | 13.5% |
[ 1.0% - 1.5% ] 1.26% | 286,509 | 14.0% |
[ 1.0% - 1.5% ] 1.29% | 276,320 | 12.8% |
[ 1.0% - 1.5% ] 1.34% | 272,460 | 11.4% |
[ 1.0% - 1.5% ] 1.41% | 298,665 | 11.3% |
[ 1.0% - 1.5% ] 1.46% | 460,729 | 19.6% |
[ 1.5% - 2.0% ] 1.51% | 253,584 | 12.4% |
[ 1.5% - 2.0% ] 1.57% | 303,544 | 16.3% |
[ 1.5% - 2.0% ] 1.63% | 237,536 | 14.5% |
[ 1.5% - 2.0% ] 1.69% | 57,977 | 22.6% |
[ 1.5% - 2.0% ] 1.74% | 154,524 | 10.0% |
[ 1.5% - 2.0% ] 1.78% | 1,106,619 | 14.6% |
[ 1.5% - 2.0% ] 1.84% | 249,020 | 15.0% |
[ 1.5% - 2.0% ] 1.89% | 168,899 | 11.6% |
[ 1.5% - 2.0% ] 1.95% | 137,473 | 11.9% |
[ 2.0% - 2.5% ] 2.02% | 113,009 | 16.1% |
[ 2.0% - 2.5% ] 2.13% | 39,258 | 15.1% |
[ 2.0% - 2.5% ] 2.29% | 157,519 | 15.4% |
[ 2.0% - 2.5% ] 2.35% | 129,077 | 9.7% |
[ 2.0% - 2.5% ] 2.40% | 93,425 | 15.3% |
[ 2.5% - 3.0% ] 2.51% | 45,205 | 14.9% |
[ 2.5% - 3.0% ] 2.59% | 48,765 | 15.1% |
[ 2.5% - 3.0% ] 2.62% | 198,619 | 16.0% |
[ 2.5% - 3.0% ] 2.66% | 85,550 | 14.8% |
[ 2.5% - 3.0% ] 2.73% | 139,871 | 13.6% |
[ 2.5% - 3.0% ] 2.78% | 168,477 | 11.5% |
[ 2.5% - 3.0% ] 2.86% | 41,829 | 9.7% |
[ 2.5% - 3.0% ] 2.96% | 125,948 | 8.0% |
[ 2.5% - 3.0% ] 2.99% | 301 | 36.4% |
[ 3.0% - 3.5% ] 3.11% | 66,993 | 9.6% |
[ 3.0% - 3.5% ] 3.24% | 33,689 | 14.3% |
[ 3.0% - 3.5% ] 3.35% | 48,095 | 6.9% |
[ 3.0% - 3.5% ] 3.45% | 41,977 | 21.4% |
[ 3.5% - 4.0% ] 3.53% | 29,223 | 16.0% |
[ 3.5% - 4.0% ] 3.55% | 19,217 | 5.6% |
[ 3.5% - 4.0% ] 3.62% | 43,629 | 7.7% |
[ 4.0% - 4.5% ] 4.06% | 22,941 | 10.6% |
[ 4.0% - 4.5% ] 4.28% | 94,075 | 8.8% |
[ 4.0% - 4.5% ] 4.40% | 61,153 | 9.4% |
[ 4.5% - 5.0% ] 4.56% | 24,079 | 12.5% |
[ 4.5% - 5.0% ] 4.58% | 27,197 | 9.2% |
[ 4.5% - 5.0% ] 4.85% | 45,635 | 9.2% |
[ 5.5% - 6.0% ] 5.61% | 46,166 | 14.2% |