Chinese Married-couple Households
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Married-couple Households
Chinese Married-couple Households
50.4%
MARRIED-COUPLE HOUSEHOLDS
100.0/ 100
METRIC RATING
10th/ 347
METRIC RANK
Chinese Married-couple Households Correlation Chart
The statistical analysis conducted on geographies consisting of 64,801,742 people shows a poor negative correlation between the proportion of Chinese and percentage of married-couple family households in the United States with a correlation coefficient (R) of -0.128 and weighted average of 50.4%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.57% in percentage of married-couple family households.
It is essential to understand that the correlation between the percentage of Chinese and percentage of married-couple family households 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 percentage of married-couple family households within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of percentage of married-couple family households due to other factors.
Demographics Similar to Chinese by Married-couple Households
In terms of married-couple households, the demographic groups most similar to Chinese are Pennsylvania German (50.4%, a difference of 0.0%), Immigrants from Pakistan (50.1%, a difference of 0.44%), Immigrants from South Central Asia (50.6%, a difference of 0.55%), Swiss (49.9%, a difference of 0.81%), and Immigrants from Korea (49.9%, a difference of 0.98%).
| Demographics | Rating | Rank | Married-couple Households |
| Thais | 100.0 /100 | #3 | Exceptional 51.9% |
| Assyrians/Chaldeans/Syriacs | 100.0 /100 | #4 | Exceptional 51.8% |
| Tongans | 100.0 /100 | #5 | Exceptional 51.6% |
| Danes | 100.0 /100 | #6 | Exceptional 51.1% |
| Filipinos | 100.0 /100 | #7 | Exceptional 51.0% |
| Immigrants from South Central Asia | 100.0 /100 | #8 | Exceptional 50.6% |
| Pennsylvania Germans | 100.0 /100 | #9 | Exceptional 50.4% |
| Chinese | 100.0 /100 | #10 | Exceptional 50.4% |
| Immigrants from Pakistan | 100.0 /100 | #11 | Exceptional 50.1% |
| Swiss | 100.0 /100 | #12 | Exceptional 49.9% |
| Immigrants from Korea | 100.0 /100 | #13 | Exceptional 49.9% |
| Burmese | 100.0 /100 | #14 | Exceptional 49.8% |
| Koreans | 99.9 /100 | #15 | Exceptional 49.7% |
| Swedes | 99.9 /100 | #16 | Exceptional 49.7% |
| Immigrants from Hong Kong | 99.9 /100 | #17 | Exceptional 49.6% |
Chinese Married-couple Households Correlation Summary
| Measurement | Chinese Data | Married-couple Households Data |
| Minimum | 0.0087% | 35.3% |
| Maximum | 8.3% | 63.0% |
| Range | 8.3% | 27.8% |
| Mean | 1.7% | 50.6% |
| Median | 1.2% | 51.0% |
| Interquartile 25% (IQ1) | 0.58% | 46.3% |
| Interquartile 75% (IQ3) | 2.2% | 56.2% |
| Interquartile Range (IQR) | 1.6% | 9.9% |
| Standard Deviation (Sample) | 1.7% | 7.4% |
| Standard Deviation (Population) | 1.6% | 7.4% |
Correlation Details
| Chinese Percentile | Sample Size | Married-couple Households |
[ 0.0% - 0.5% ] 0.0087% | 53,055,746 | 40.8% |
[ 0.0% - 0.5% ] 0.059% | 5,049,043 | 49.9% |
[ 0.0% - 0.5% ] 0.10% | 1,538,210 | 54.2% |
[ 0.0% - 0.5% ] 0.14% | 1,149,266 | 53.6% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 50.9% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 52.3% |
[ 0.0% - 0.5% ] 0.27% | 241,739 | 47.4% |
[ 0.0% - 0.5% ] 0.31% | 264,410 | 50.0% |
[ 0.0% - 0.5% ] 0.35% | 172,813 | 50.8% |
[ 0.0% - 0.5% ] 0.39% | 107,016 | 58.9% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 50.3% |
[ 0.0% - 0.5% ] 0.47% | 76,395 | 37.2% |
[ 0.5% - 1.0% ] 0.52% | 117,219 | 49.1% |
[ 0.5% - 1.0% ] 0.56% | 79,978 | 44.9% |
[ 0.5% - 1.0% ] 0.60% | 263,904 | 59.8% |
[ 0.5% - 1.0% ] 0.64% | 104,383 | 58.6% |
[ 0.5% - 1.0% ] 0.70% | 114,487 | 54.2% |
[ 0.5% - 1.0% ] 0.72% | 82,656 | 44.3% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 45.9% |
[ 0.5% - 1.0% ] 0.82% | 24,095 | 48.3% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 51.0% |
[ 0.5% - 1.0% ] 0.89% | 78,354 | 59.0% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 57.8% |
[ 1.0% - 1.5% ] 1.00% | 54,182 | 49.9% |
[ 1.0% - 1.5% ] 1.05% | 13,292 | 47.5% |
[ 1.0% - 1.5% ] 1.09% | 39,437 | 39.7% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 61.9% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 55.9% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 59.0% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 60.1% |
[ 1.0% - 1.5% ] 1.33% | 27,739 | 35.3% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 46.7% |
[ 1.0% - 1.5% ] 1.44% | 50,142 | 38.5% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 59.5% |
[ 1.5% - 2.0% ] 1.63% | 45,392 | 51.9% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 54.6% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 60.2% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 52.7% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 51.7% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 50.7% |
[ 1.5% - 2.0% ] 1.94% | 465 | 36.5% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 53.2% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 55.0% |
[ 2.0% - 2.5% ] 2.19% | 1,555 | 63.0% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 47.6% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 49.1% |
[ 2.5% - 3.0% ] 2.52% | 159 | 54.9% |
[ 2.5% - 3.0% ] 2.61% | 8,571 | 58.1% |
[ 3.0% - 3.5% ] 3.08% | 130 | 52.7% |
[ 3.0% - 3.5% ] 3.23% | 279 | 45.3% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 35.3% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 56.5% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 53.0% |
[ 4.5% - 5.0% ] 4.56% | 548 | 37.6% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 61.9% |
[ 6.5% - 7.0% ] 6.68% | 853 | 36.5% |
[ 8.0% - 8.5% ] 8.28% | 157 | 45.5% |