Nigerian vs Immigrants from Burma/Myanmar Births to Unmarried Women
COMPARE
Nigerian
Immigrants from Burma/Myanmar
Births to Unmarried Women
Births to Unmarried Women Comparison
Nigerians
Immigrants from Burma/Myanmar
35.3%
BIRTHS TO UNMARRIED WOMEN
0.7/ 100
METRIC RATING
246th/ 347
METRIC RANK
32.9%
BIRTHS TO UNMARRIED WOMEN
16.7/ 100
METRIC RATING
201st/ 347
METRIC RANK
Nigerian vs Immigrants from Burma/Myanmar Births to Unmarried Women Correlation Chart
The statistical analysis conducted on geographies consisting of 318,352,588 people shows a moderate positive correlation between the proportion of Nigerians and percentage of births to unmarried women in the United States with a correlation coefficient (R) of 0.492 and weighted average of 35.3%. Similarly, the statistical analysis conducted on geographies consisting of 166,895,809 people shows a weak positive correlation between the proportion of Immigrants from Burma/Myanmar and percentage of births to unmarried women in the United States with a correlation coefficient (R) of 0.270 and weighted average of 32.9%, a difference of 7.5%.
Births to Unmarried Women Correlation Summary
Measurement | Nigerian | Immigrants from Burma/Myanmar |
Minimum | 8.3% | 3.8% |
Maximum | 100.0% | 100.0% |
Range | 91.7% | 96.2% |
Mean | 43.4% | 36.0% |
Median | 38.8% | 34.0% |
Interquartile 25% (IQ1) | 33.6% | 25.9% |
Interquartile 75% (IQ3) | 46.9% | 40.3% |
Interquartile Range (IQR) | 13.3% | 14.4% |
Standard Deviation (Sample) | 19.5% | 17.5% |
Standard Deviation (Population) | 19.3% | 17.4% |
Similar Demographics by Births to Unmarried Women
Demographics Similar to Nigerians by Births to Unmarried Women
In terms of births to unmarried women, the demographic groups most similar to Nigerians are Shoshone (35.3%, a difference of 0.11%), Immigrants from Nigeria (35.4%, a difference of 0.21%), Guyanese (35.2%, a difference of 0.45%), Japanese (35.2%, a difference of 0.51%), and Nonimmigrants (35.5%, a difference of 0.54%).
Demographics | Rating | Rank | Births to Unmarried Women |
Sierra Leoneans | 1.4 /100 | #239 | Tragic 34.9% |
Immigrants | Middle Africa | 1.2 /100 | #240 | Tragic 34.9% |
Immigrants | Guyana | 1.2 /100 | #241 | Tragic 35.0% |
Indonesians | 1.2 /100 | #242 | Tragic 35.0% |
Japanese | 0.9 /100 | #243 | Tragic 35.2% |
Guyanese | 0.9 /100 | #244 | Tragic 35.2% |
Shoshone | 0.8 /100 | #245 | Tragic 35.3% |
Nigerians | 0.7 /100 | #246 | Tragic 35.3% |
Immigrants | Nigeria | 0.7 /100 | #247 | Tragic 35.4% |
Immigrants | Nonimmigrants | 0.6 /100 | #248 | Tragic 35.5% |
Bermudans | 0.6 /100 | #249 | Tragic 35.5% |
Mexican American Indians | 0.4 /100 | #250 | Tragic 35.7% |
Immigrants | Western Africa | 0.3 /100 | #251 | Tragic 36.0% |
Salvadorans | 0.3 /100 | #252 | Tragic 36.0% |
Immigrants | Portugal | 0.2 /100 | #253 | Tragic 36.2% |
Demographics Similar to Immigrants from Burma/Myanmar by Births to Unmarried Women
In terms of births to unmarried women, the demographic groups most similar to Immigrants from Burma/Myanmar are Immigrants from Micronesia (32.9%, a difference of 0.010%), Immigrants from Germany (32.8%, a difference of 0.33%), Immigrants from Thailand (32.8%, a difference of 0.34%), Ute (33.0%, a difference of 0.39%), and Immigrants from Africa (33.0%, a difference of 0.41%).
Demographics | Rating | Rank | Births to Unmarried Women |
Sudanese | 27.3 /100 | #194 | Fair 32.4% |
Samoans | 21.9 /100 | #195 | Fair 32.6% |
Immigrants | Colombia | 21.7 /100 | #196 | Fair 32.6% |
Immigrants | Immigrants | 20.6 /100 | #197 | Fair 32.7% |
Costa Ricans | 20.3 /100 | #198 | Fair 32.7% |
Immigrants | Thailand | 18.9 /100 | #199 | Poor 32.8% |
Immigrants | Germany | 18.8 /100 | #200 | Poor 32.8% |
Immigrants | Burma/Myanmar | 16.7 /100 | #201 | Poor 32.9% |
Immigrants | Micronesia | 16.6 /100 | #202 | Poor 32.9% |
Ute | 14.4 /100 | #203 | Poor 33.0% |
Immigrants | Africa | 14.3 /100 | #204 | Poor 33.0% |
German Russians | 13.1 /100 | #205 | Poor 33.1% |
Uruguayans | 12.8 /100 | #206 | Poor 33.1% |
Immigrants | Sudan | 11.5 /100 | #207 | Poor 33.2% |
Hawaiians | 11.3 /100 | #208 | Poor 33.2% |