Japanese vs Immigrants from Hungary Married-couple Households
COMPARE
Japanese
Immigrants from Hungary
Married-couple Households
Married-couple Households Comparison
Japanese
Immigrants from Hungary
45.2%
MARRIED-COUPLE HOUSEHOLDS
5.7/ 100
METRIC RATING
214th/ 347
METRIC RANK
47.3%
MARRIED-COUPLE HOUSEHOLDS
87.8/ 100
METRIC RATING
130th/ 347
METRIC RANK
Japanese vs Immigrants from Hungary Married-couple Households Correlation Chart
The statistical analysis conducted on geographies consisting of 249,071,577 people shows a weak positive correlation between the proportion of Japanese and percentage of married-couple family households in the United States with a correlation coefficient (R) of 0.267 and weighted average of 45.2%. Similarly, the statistical analysis conducted on geographies consisting of 195,664,672 people shows a significant positive correlation between the proportion of Immigrants from Hungary and percentage of married-couple family households in the United States with a correlation coefficient (R) of 0.646 and weighted average of 47.3%, a difference of 4.6%.
Married-couple Households Correlation Summary
Measurement | Japanese | Immigrants from Hungary |
Minimum | 29.2% | 38.7% |
Maximum | 90.5% | 100.0% |
Range | 61.3% | 61.3% |
Mean | 44.4% | 58.3% |
Median | 42.9% | 56.5% |
Interquartile 25% (IQ1) | 37.8% | 51.2% |
Interquartile 75% (IQ3) | 46.6% | 64.5% |
Interquartile Range (IQR) | 8.8% | 13.2% |
Standard Deviation (Sample) | 12.6% | 12.6% |
Standard Deviation (Population) | 12.5% | 12.4% |
Similar Demographics by Married-couple Households
Demographics Similar to Japanese by Married-couple Households
In terms of married-couple households, the demographic groups most similar to Japanese are Yakama (45.2%, a difference of 0.020%), Immigrants from Nepal (45.2%, a difference of 0.020%), Immigrants from Portugal (45.2%, a difference of 0.020%), Panamanian (45.2%, a difference of 0.040%), and Immigrants from the Azores (45.2%, a difference of 0.070%).
Demographics | Rating | Rank | Married-couple Households |
Immigrants | France | 8.8 /100 | #207 | Tragic 45.4% |
Hispanics or Latinos | 8.7 /100 | #208 | Tragic 45.4% |
Immigrants | Uzbekistan | 8.4 /100 | #209 | Tragic 45.4% |
Cubans | 7.7 /100 | #210 | Tragic 45.4% |
Immigrants | Spain | 7.3 /100 | #211 | Tragic 45.3% |
Creek | 6.4 /100 | #212 | Tragic 45.3% |
Yakama | 5.8 /100 | #213 | Tragic 45.2% |
Japanese | 5.7 /100 | #214 | Tragic 45.2% |
Immigrants | Nepal | 5.6 /100 | #215 | Tragic 45.2% |
Immigrants | Portugal | 5.6 /100 | #216 | Tragic 45.2% |
Panamanians | 5.5 /100 | #217 | Tragic 45.2% |
Immigrants | Azores | 5.3 /100 | #218 | Tragic 45.2% |
Nicaraguans | 5.3 /100 | #219 | Tragic 45.2% |
Immigrants | Thailand | 5.1 /100 | #220 | Tragic 45.2% |
Tlingit-Haida | 4.9 /100 | #221 | Tragic 45.1% |
Demographics Similar to Immigrants from Hungary by Married-couple Households
In terms of married-couple households, the demographic groups most similar to Immigrants from Hungary are Immigrants from Iraq (47.3%, a difference of 0.0%), Immigrants from Peru (47.3%, a difference of 0.010%), Immigrants from Denmark (47.3%, a difference of 0.020%), Celtic (47.3%, a difference of 0.030%), and Pakistani (47.3%, a difference of 0.070%).
Demographics | Rating | Rank | Married-couple Households |
Immigrants | 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 | Peru | 87.9 /100 | #128 | Excellent 47.3% |
Immigrants | Iraq | 87.8 /100 | #129 | Excellent 47.3% |
Immigrants | Hungary | 87.8 /100 | #130 | Excellent 47.3% |
Immigrants | Denmark | 87.5 /100 | #131 | Excellent 47.3% |
Immigrants | Ukraine | 86.7 /100 | #132 | Excellent 47.3% |
South Africans | 86.4 /100 | #133 | Excellent 47.3% |
Immigrants | Greece | 86.0 /100 | #134 | Excellent 47.2% |
Immigrants | Argentina | 86.0 /100 | #135 | Excellent 47.2% |
New Zealanders | 85.3 /100 | #136 | Excellent 47.2% |
Immigrants | Malaysia | 85.2 /100 | #137 | Excellent 47.2% |