Australian Married-couple Households
COMPARE
Australian
Select to Compare
Married-couple Households
Australian Married-couple Households
47.4%
MARRIED-COUPLE HOUSEHOLDS
89.0/ 100
METRIC RATING
125th/ 347
METRIC RANK
Australian Married-couple Households Correlation Chart
The statistical analysis conducted on geographies consisting of 224,029,086 people shows a slight positive correlation between the proportion of Australians and percentage of married-couple family households in the United States with a correlation coefficient (R) of 0.067 and weighted average of 47.4%. On average, for every 1% (one percent) increase in Australians within a typical geography, there is an increase of 0.22% in percentage of married-couple family households.
It is essential to understand that the correlation between the percentage of Australians and percentage of married-couple family households does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Australians influences an upward or downward trend in the level of percentage of married-couple family households within an area, or if Australians 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 Australians by Married-couple Households
In terms of married-couple households, the demographic groups most similar to Australians are Zimbabwean (47.4%, a difference of 0.020%), Immigrants from Venezuela (47.4%, a difference of 0.030%), Pakistani (47.3%, a difference of 0.030%), Celtic (47.3%, a difference of 0.080%), and Immigrants from Peru (47.3%, a difference of 0.10%).
| Demographics | Rating | Rank | Married-couple Households |
| Immigrants from Germany | 92.4 /100 | #118 | Exceptional 47.5% |
| Chileans | 92.2 /100 | #119 | Exceptional 47.5% |
| Puget Sound Salish | 90.5 /100 | #120 | Exceptional 47.4% |
| Immigrants from Eastern Europe | 90.3 /100 | #121 | Exceptional 47.4% |
| Okinawans | 90.1 /100 | #122 | Exceptional 47.4% |
| Immigrants from Venezuela | 89.3 /100 | #123 | Excellent 47.4% |
| Zimbabweans | 89.2 /100 | #124 | Excellent 47.4% |
| Australians | 89.0 /100 | #125 | Excellent 47.4% |
| Pakistanis | 88.6 /100 | #126 | Excellent 47.3% |
| Celtics | 88.1 /100 | #127 | Excellent 47.3% |
| Immigrants from Peru | 87.9 /100 | #128 | Excellent 47.3% |
| Immigrants from Iraq | 87.8 /100 | #129 | Excellent 47.3% |
| Immigrants from Hungary | 87.8 /100 | #130 | Excellent 47.3% |
| Immigrants from Denmark | 87.5 /100 | #131 | Excellent 47.3% |
| Immigrants from Ukraine | 86.7 /100 | #132 | Excellent 47.3% |
Australian Married-couple Households Correlation Summary
| Measurement | Australian Data | Married-couple Households Data |
| Minimum | 0.037% | 24.0% |
| Maximum | 18.3% | 71.2% |
| Range | 18.2% | 47.2% |
| Mean | 3.4% | 51.3% |
| Median | 2.7% | 50.6% |
| Interquartile 25% (IQ1) | 1.3% | 46.3% |
| Interquartile 75% (IQ3) | 4.7% | 59.0% |
| Interquartile Range (IQR) | 3.4% | 12.7% |
| Standard Deviation (Sample) | 3.1% | 9.9% |
| Standard Deviation (Population) | 3.0% | 9.9% |
Correlation Details
| Australian Percentile | Sample Size | Married-couple Households |
[ 0.0% - 0.5% ] 0.037% | 176,698,154 | 43.8% |
[ 0.0% - 0.5% ] 0.13% | 27,477,155 | 49.3% |
[ 0.0% - 0.5% ] 0.22% | 9,435,357 | 48.6% |
[ 0.0% - 0.5% ] 0.32% | 4,035,294 | 50.2% |
[ 0.0% - 0.5% ] 0.40% | 2,242,281 | 48.0% |
[ 0.5% - 1.0% ] 0.50% | 1,308,697 | 53.2% |
[ 0.5% - 1.0% ] 0.58% | 825,281 | 48.1% |
[ 0.5% - 1.0% ] 0.68% | 593,622 | 46.7% |
[ 0.5% - 1.0% ] 0.77% | 429,133 | 47.6% |
[ 0.5% - 1.0% ] 0.87% | 288,739 | 49.4% |
[ 0.5% - 1.0% ] 0.96% | 125,388 | 52.0% |
[ 1.0% - 1.5% ] 1.06% | 38,776 | 45.5% |
[ 1.0% - 1.5% ] 1.14% | 51,611 | 50.6% |
[ 1.0% - 1.5% ] 1.20% | 40,719 | 61.8% |
[ 1.0% - 1.5% ] 1.32% | 81,202 | 55.2% |
[ 1.0% - 1.5% ] 1.42% | 28,898 | 58.0% |
[ 1.5% - 2.0% ] 1.51% | 37,392 | 49.4% |
[ 1.5% - 2.0% ] 1.61% | 62,598 | 62.8% |
[ 1.5% - 2.0% ] 1.70% | 25,339 | 63.0% |
[ 1.5% - 2.0% ] 1.80% | 41,528 | 45.2% |
[ 1.5% - 2.0% ] 1.86% | 21,163 | 60.2% |
[ 1.5% - 2.0% ] 1.95% | 37,314 | 33.9% |
[ 2.0% - 2.5% ] 2.06% | 7,725 | 47.0% |
[ 2.0% - 2.5% ] 2.17% | 3,458 | 41.7% |
[ 2.0% - 2.5% ] 2.26% | 5,181 | 49.9% |
[ 2.0% - 2.5% ] 2.35% | 15,729 | 41.4% |
[ 2.0% - 2.5% ] 2.40% | 2,288 | 59.5% |
[ 2.0% - 2.5% ] 2.49% | 10,854 | 36.4% |
[ 2.5% - 3.0% ] 2.61% | 5,297 | 52.3% |
[ 2.5% - 3.0% ] 2.69% | 2,566 | 50.1% |
[ 2.5% - 3.0% ] 2.76% | 2,172 | 52.2% |
[ 2.5% - 3.0% ] 2.91% | 378 | 63.2% |
[ 2.5% - 3.0% ] 2.98% | 3,255 | 48.2% |
[ 3.0% - 3.5% ] 3.04% | 2,827 | 65.6% |
[ 3.0% - 3.5% ] 3.22% | 4,442 | 65.9% |
[ 3.0% - 3.5% ] 3.34% | 10,228 | 53.0% |
[ 3.0% - 3.5% ] 3.42% | 10,047 | 36.1% |
[ 3.5% - 4.0% ] 3.51% | 313 | 49.1% |
[ 3.5% - 4.0% ] 3.75% | 774 | 53.9% |
[ 3.5% - 4.0% ] 3.89% | 180 | 67.5% |
[ 3.5% - 4.0% ] 3.98% | 352 | 24.0% |
[ 4.0% - 4.5% ] 4.35% | 828 | 57.9% |
[ 4.0% - 4.5% ] 4.43% | 158 | 37.0% |
[ 4.5% - 5.0% ] 4.50% | 1,066 | 60.8% |
[ 4.5% - 5.0% ] 4.73% | 825 | 71.2% |
[ 4.5% - 5.0% ] 4.83% | 3,190 | 63.7% |
[ 5.0% - 5.5% ] 5.15% | 2,018 | 61.4% |
[ 5.0% - 5.5% ] 5.27% | 664 | 50.6% |
[ 5.0% - 5.5% ] 5.48% | 420 | 55.6% |
[ 5.5% - 6.0% ] 5.81% | 155 | 32.1% |
[ 5.5% - 6.0% ] 5.92% | 710 | 44.5% |
[ 6.0% - 6.5% ] 6.02% | 1,396 | 46.3% |
[ 6.0% - 6.5% ] 6.15% | 130 | 59.0% |
[ 6.0% - 6.5% ] 6.31% | 301 | 28.7% |
[ 6.5% - 7.0% ] 6.51% | 829 | 44.9% |
[ 6.5% - 7.0% ] 6.73% | 1,307 | 55.4% |
[ 7.5% - 8.0% ] 7.62% | 840 | 67.0% |
[ 12.5% - 13.0% ] 12.62% | 301 | 58.0% |
[ 18.0% - 18.5% ] 18.26% | 241 | 50.8% |