Pakistani Births to Unmarried Women
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Pakistani
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Births to Unmarried Women
Pakistani Births to Unmarried Women
30.5%
BIRTHS TO UNMARRIED WOMEN
83.0/ 100
METRIC RATING
141st/ 347
METRIC RANK
Pakistani Births to Unmarried Women Correlation Chart
The statistical analysis conducted on geographies consisting of 317,371,382 people shows a moderate positive correlation between the proportion of Pakistanis and percentage of births to unmarried women in the United States with a correlation coefficient (R) of 0.482 and weighted average of 30.5%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 6.1% in percentage of births to unmarried women.
It is essential to understand that the correlation between the percentage of Pakistanis and percentage of births to unmarried women does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Pakistanis influences an upward or downward trend in the level of percentage of births to unmarried women within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of percentage of births to unmarried women due to other factors.
Demographics Similar to Pakistanis by Births to Unmarried Women
In terms of births to unmarried women, the demographic groups most similar to Pakistanis are Swiss (30.5%, a difference of 0.020%), South African (30.5%, a difference of 0.060%), Immigrants from Uganda (30.5%, a difference of 0.080%), Immigrants from Canada (30.4%, a difference of 0.13%), and Czech (30.5%, a difference of 0.15%).
Demographics | Rating | Rank | Births to Unmarried Women |
Immigrants from South Eastern Asia | 85.2 /100 | #134 | Excellent 30.4% |
Brazilians | 84.8 /100 | #135 | Excellent 30.4% |
Immigrants from Scotland | 84.6 /100 | #136 | Excellent 30.4% |
Immigrants from Philippines | 83.9 /100 | #137 | Excellent 30.4% |
Puget Sound Salish | 83.9 /100 | #138 | Excellent 30.4% |
Immigrants from Canada | 83.7 /100 | #139 | Excellent 30.4% |
Swiss | 83.1 /100 | #140 | Excellent 30.5% |
Pakistanis | 83.0 /100 | #141 | Excellent 30.5% |
South Africans | 82.7 /100 | #142 | Excellent 30.5% |
Immigrants from Uganda | 82.6 /100 | #143 | Excellent 30.5% |
Czechs | 82.1 /100 | #144 | Excellent 30.5% |
Immigrants from North America | 81.5 /100 | #145 | Excellent 30.6% |
Northern Europeans | 81.4 /100 | #146 | Excellent 30.6% |
Immigrants from Oceania | 81.2 /100 | #147 | Excellent 30.6% |
Chileans | 79.1 /100 | #148 | Good 30.7% |
Pakistani Births to Unmarried Women Correlation Summary
Measurement | Pakistani Data | Births to Unmarried Women Data |
Minimum | 0.034% | 10.7% |
Maximum | 11.6% | 100.0% |
Range | 11.5% | 89.3% |
Mean | 2.3% | 43.3% |
Median | 1.9% | 32.2% |
Interquartile 25% (IQ1) | 0.93% | 28.9% |
Interquartile 75% (IQ3) | 3.3% | 59.8% |
Interquartile Range (IQR) | 2.3% | 31.0% |
Standard Deviation (Sample) | 2.0% | 25.2% |
Standard Deviation (Population) | 2.0% | 25.0% |
Correlation Details
Pakistani Percentile | Sample Size | Births to Unmarried Women |
[ 0.0% - 0.5% ] 0.034% | 86,878,633 | 35.5% |
[ 0.0% - 0.5% ] 0.091% | 90,288,819 | 33.0% |
[ 0.0% - 0.5% ] 0.15% | 45,103,897 | 29.8% |
[ 0.0% - 0.5% ] 0.21% | 31,674,793 | 27.2% |
[ 0.0% - 0.5% ] 0.28% | 17,462,009 | 27.9% |
[ 0.0% - 0.5% ] 0.34% | 15,662,150 | 31.3% |
[ 0.0% - 0.5% ] 0.40% | 7,541,034 | 29.4% |
[ 0.0% - 0.5% ] 0.46% | 6,277,591 | 29.8% |
[ 0.5% - 1.0% ] 0.52% | 3,536,803 | 25.1% |
[ 0.5% - 1.0% ] 0.59% | 2,799,686 | 29.7% |
[ 0.5% - 1.0% ] 0.65% | 1,944,857 | 29.1% |
[ 0.5% - 1.0% ] 0.72% | 1,630,617 | 30.7% |
[ 0.5% - 1.0% ] 0.77% | 1,104,140 | 32.2% |
[ 0.5% - 1.0% ] 0.83% | 1,010,863 | 28.6% |
[ 0.5% - 1.0% ] 0.90% | 746,151 | 34.7% |
[ 0.5% - 1.0% ] 0.95% | 667,484 | 29.9% |
[ 1.0% - 1.5% ] 1.02% | 336,783 | 37.9% |
[ 1.0% - 1.5% ] 1.08% | 247,990 | 31.3% |
[ 1.0% - 1.5% ] 1.14% | 185,320 | 31.2% |
[ 1.0% - 1.5% ] 1.21% | 265,140 | 34.1% |
[ 1.0% - 1.5% ] 1.26% | 236,303 | 24.0% |
[ 1.0% - 1.5% ] 1.32% | 185,847 | 32.2% |
[ 1.0% - 1.5% ] 1.39% | 254,288 | 22.2% |
[ 1.0% - 1.5% ] 1.46% | 157,726 | 14.5% |
[ 1.5% - 2.0% ] 1.51% | 238,363 | 33.4% |
[ 1.5% - 2.0% ] 1.57% | 110,010 | 20.4% |
[ 1.5% - 2.0% ] 1.64% | 121,171 | 17.7% |
[ 1.5% - 2.0% ] 1.70% | 128,833 | 31.2% |
[ 1.5% - 2.0% ] 1.79% | 171,001 | 29.4% |
[ 1.5% - 2.0% ] 1.83% | 52,800 | 29.4% |
[ 1.5% - 2.0% ] 1.89% | 27,629 | 26.6% |
[ 1.5% - 2.0% ] 1.96% | 48,568 | 48.9% |
[ 2.0% - 2.5% ] 2.01% | 19,638 | 55.4% |
[ 2.0% - 2.5% ] 2.13% | 29,407 | 65.6% |
[ 2.0% - 2.5% ] 2.18% | 4,765 | 12.6% |
[ 2.0% - 2.5% ] 2.27% | 22,961 | 39.1% |
[ 2.0% - 2.5% ] 2.39% | 11,144 | 72.5% |
[ 2.0% - 2.5% ] 2.44% | 7,041 | 84.0% |
[ 2.5% - 3.0% ] 2.50% | 9,108 | 30.0% |
[ 2.5% - 3.0% ] 2.56% | 9,595 | 83.5% |
[ 2.5% - 3.0% ] 2.70% | 2,478 | 37.8% |
[ 2.5% - 3.0% ] 2.74% | 53,561 | 40.9% |
[ 2.5% - 3.0% ] 2.88% | 10,731 | 64.7% |
[ 3.0% - 3.5% ] 3.07% | 11,680 | 99.7% |
[ 3.0% - 3.5% ] 3.13% | 15,816 | 65.4% |
[ 3.0% - 3.5% ] 3.19% | 1,723 | 100.0% |
[ 3.0% - 3.5% ] 3.34% | 1,467 | 10.7% |
[ 3.5% - 4.0% ] 3.59% | 3,373 | 76.9% |
[ 3.5% - 4.0% ] 3.80% | 14,487 | 59.7% |
[ 3.5% - 4.0% ] 3.90% | 231 | 60.0% |
[ 3.5% - 4.0% ] 3.91% | 15,132 | 93.7% |
[ 4.0% - 4.5% ] 4.10% | 366 | 100.0% |
[ 4.0% - 4.5% ] 4.26% | 7,581 | 19.4% |
[ 4.0% - 4.5% ] 4.31% | 3,458 | 65.3% |
[ 4.0% - 4.5% ] 4.37% | 6,777 | 18.3% |
[ 4.0% - 4.5% ] 4.44% | 540 | 100.0% |
[ 4.5% - 5.0% ] 4.55% | 2,111 | 30.3% |
[ 5.0% - 5.5% ] 5.18% | 946 | 42.9% |
[ 5.5% - 6.0% ] 5.80% | 4,187 | 12.2% |
[ 7.0% - 7.5% ] 7.33% | 2,647 | 53.4% |
[ 11.5% - 12.0% ] 11.57% | 1,132 | 100.0% |