Questions Details 
Question Name: Children, Current # of Born Children
Question: How many children have you had born?
Type:INT Answers:
Still living or dead. Not counting still-births.

Answers: (134 answers total)
32.8% of responses ( 44/134 ) were: "0"
17.9% of responses ( 24/134 ) were: "1"
35.8% of responses ( 48/134 ) were: "2"
9.7% of responses ( 13/134 ) were: "3"
3.0% of responses ( 4/134 ) were: "4"
0.7% of responses ( 1/134 ) were: "6"


Tracked Possible Correlations: suggest a NEW correlation to track
  Correlation #174: ↔ 17: Siblings - One might expect a person to have roughly as many children as they had siblings - initial data seems to support this direct correlation.
  Correlation #175: ↔ 21: Finger Length Ratio 2D:4D
  Correlation #176: ↔ 53: Teen Acne
  Correlation #177: ↔ 351: Penis Length
  Correlation #178: ↔ 116: Areola Size - So far it seems as # of children direclty relates to areola size in females and indirectly in males.
  Correlation #179: ↔ 2: Dominant Hand
  Correlation #180: ↔ 1: Gender
  Correlation #410: ↔ 385: Popularity - Grade School - It is expected that pecking order in social areas will determine number of children.
  Correlation #411: ↔ 386: Popularity - High School - It is expected that pecking order in social areas will determine number of children.
  Correlation #412: ↔ 387: Popularity - Adult - It is expected that pecking order in social areas will determine number of children.
  Correlation #448: ↔ 391: First Pregnancy Age
  Correlation #449: ↔ 392: First Child Age
  Correlation #542: ↔ 436: Children, # Expected/Desired
  Correlation #552: ↔ 307: Married
  Correlation #555: ↔ 117: Nipple Size - So far it seems as # of children direclty relates to nipple size amount in females and indirectly in males.
  Correlation #556: ↔ 118: Nipple Protrusion - So far it seems as # of children direclty relates to protrusion amount in females and indirectly in males.
  Correlation #569: ↔ 448: Menstrual Cramps
  Correlation #588: ↔ 455: Age of Menopause
  Correlation #592: ↔ 457: Cervix - Pap Smear
  Correlation #605: ↔ 454: Children - Your Age for your First Born
  Correlation #638: ↔ 358: Breast Size - Large breasted women tend to have more children.
  Correlation #648: ↔ 461: Attractiveness
  Correlation #822: ↔ 196: Breast Fed
  Correlation #823: ↔ 197: Breast Fed Year
  Correlation #955: ↔ 506: Diet - Joice Containers
  Correlation #1014: ↔ 389: Sleep Hours - People with more children sleep longer hours each night.
  Correlation #1134: ↔ 558: Children, # Expected
  Correlation #1136: ↔ 557: Children, # Desired
  Correlation #1145: ↔ 559: Children, Conceptions, # of
  Correlation #1147: ↔ 560: Children, Living



Correlation of 324: Children, Current # of Born Children Vs. 17: Siblings
One might expect a person to have roughly as many children as they had siblings - initial data seems to support this direct correlation.

127 Responses:
 Siblings →
 
Children, Current # of Born Children ↓ 		0123456712130
06.3%    11.8%    8.7%    2.4%    1.6%    1.6%    0.0%0.0%0.0%0.0%
0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
10.8%    6.3%    5.5%    0.8%    0.8%    0.8%    0.8%    0.8%    0.8%    0.0%
23.9%    10.2%    4.7%    8.7%    3.9%    2.4%    0.8%    0.8%    0.0%0.8%    
30.0%1.6%    0.8%    3.9%    2.4%    0.8%    0.8%    0.0%0.0%0.0%
40.0%1.6%    0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%
60.0%0.0%0.0%0.8%    0.0%0.0%0.0%0.0%0.0%0.0%


31 Responses from Males:
Siblings →
x Children, Current # of Born Children ↓ 		0123456712130
03%    22%    6%    0%0%6%    0%0%0%0%
0%0%0%0%0%0%0%0%0%0%
10%9%    3%    0%0%3%    0%3%    0%0%
23%    16%    6%    6%    0%6%    0%0%0%0%
30%3%    0%0%0%0%0%0%0%0%
40%0%0%0%0%0%0%0%0%0%
60%0%0%0%0%0%0%0%0%0%


96 Responses from Females:
Siblings →
x Children, Current # of Born Children ↓ 		0123456712130
07%    8%    9%    3%    2%    0%0%0%0%0%
0%0%0%0%0%0%0%0%0%0%
11%    5%    6%    1%    1%    0%1%    0%1%    0%
24%    8%    4%    9%    5%    1%    1%    1%    0%1%    
30%1%    1%    5%    3%    1%    1%    0%0%0%
40%2%    0%0%2%    0%0%0%0%0%
60%0%0%1%    0%0%0%0%0%0%



Correlation of 324: Children, Current # of Born Children Vs. 21: Finger Length Ratio 2D:4D

132 Responses:
 Finger Length Ratio 2D:4D →
 
Children, Current # of Born Children ↓ 		2D is much longer than 4D2D is longer than 4D2D is the same length as 4D2D is shorther than 4D2D is much shorther than 4D
00.8%    8.3%    10.6%    12.1%    1.5%    
0.0%0.0%0.8%    0.0%0.0%
10.0%0.8%    5.3%    9.8%    1.5%    
22.3%    5.3%    12.1%    15.2%    0.0%
31.5%    2.3%    1.5%    4.5%    0.0%
40.0%1.5%    0.8%    0.8%    0.0%
60.0%0.0%0.0%0.8%    0.0%



Correlation of 324: Children, Current # of Born Children Vs. 53: Teen Acne

120 Responses:
 Teen Acne →
 
Children, Current # of Born Children ↓ 		YESNO
012.5%    19.2%    
0.0%0.0%
15.8%    12.5%    
210.0%    26.7%    
33.3%    5.8%    
40.8%    2.5%    
60.0%0.8%    



Correlation of 324: Children, Current # of Born Children Vs. 351: Penis Length

78 Responses:
 Penis Length →
 
Children, Current # of Born Children ↓ 		Very SmallSmallAverageLargeVery Large
00.0%1.3%    9.0%    3.8%    2.6%    
0.0%0.0%0.0%0.0%0.0%
10.0%0.0%3.8%    0.0%3.8%    
23.8%    0.0%7.7%    2.6%    1.3%    
30.0%1.3%    0.0%0.0%0.0%
40.0%0.0%0.0%0.0%0.0%
60.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 116: Areola Size
So far it seems as # of children direclty relates to areola size in females and indirectly in males.

96 Responses:
 Areola Size →
 
Children, Current # of Born Children ↓ 		Very LargeLargeAverageSmallVery Small
02.1%    2.1%    17.7%    9.4%    1.0%    
0.0%0.0%0.0%0.0%0.0%
12.1%    4.2%    4.2%    4.2%    1.0%    
23.1%    4.2%    21.9%    6.2%    0.0%
30.0%2.1%    5.2%    0.0%0.0%
40.0%4.2%    0.0%0.0%0.0%
60.0%0.0%1.0%    0.0%0.0%


26 Responses from Males:
Areola Size →
x Children, Current # of Born Children ↓ 		Very LargeLargeAverageSmallVery Small
00%0%26%    15%    0%
0%0%0%0%0%
10%0%0%15%    3%    
20%0%15%    15%    0%
30%0%0%0%0%
40%0%0%0%0%
60%0%0%0%0%


70 Responses from Females:
Areola Size →
x Children, Current # of Born Children ↓ 		Very LargeLargeAverageSmallVery Small
02%    2%    14%    7%    1%    
0%0%0%0%0%
12%    5%    5%    0%0%
24%    5%    24%    2%    0%
30%2%    7%    0%0%
40%5%    0%0%0%
60%0%1%    0%0%


Details:
This is expected as areola size and fertility are both regulated by sex hormones.


Correlation of 324: Children, Current # of Born Children Vs. 2: Dominant Hand

135 Responses:
 Dominant Hand →
 
Children, Current # of Born Children ↓ 		LeftRightAmbidextrous
01.5%    27.4%    3.7%    
0.0%0.7%    0.0%
10.0%16.3%    1.5%    
21.5%    30.4%    3.7%    
30.0%9.6%    0.0%
40.7%    1.5%    0.7%    
60.0%0.7%    0.0%



Correlation of 324: Children, Current # of Born Children Vs. 1: Gender

135 Responses:
 Gender →
 
Children, Current # of Born Children ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
023.7%    8.9%    0.0%0.0%0.0%0.0%
0.7%    0.0%0.0%0.0%0.0%0.0%
113.3%    4.4%    0.0%0.0%0.0%0.0%
226.7%    8.9%    0.0%0.0%0.0%0.0%
38.9%    0.7%    0.0%0.0%0.0%0.0%
43.0%    0.0%0.0%0.0%0.0%0.0%
60.7%    0.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 385: Popularity - Grade School
It is expected that pecking order in social areas will determine number of children.

70 Responses:
 Popularity - Grade School →
 
Children, Current # of Born Children ↓ 		MUCH-MOREMOREAVGLESSMUCH-LESS
01.4%    2.9%    17.1%    5.7%    4.3%    
0.0%0.0%0.0%0.0%0.0%
10.0%4.3%    2.9%    4.3%    4.3%    
21.4%    2.9%    21.4%    12.9%    1.4%    
30.0%0.0%5.7%    4.3%    0.0%
41.4%    0.0%1.4%    0.0%0.0%
60.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 386: Popularity - High School
It is expected that pecking order in social areas will determine number of children.

70 Responses:
 Popularity - High School →
 
Children, Current # of Born Children ↓ 		MUCH-MOREMOREAVGLESSMUCH-LESS
01.4%    4.3%    15.7%    1.4%    8.6%    
0.0%0.0%0.0%0.0%0.0%
12.9%    4.3%    0.0%8.6%    0.0%
20.0%2.9%    21.4%    14.3%    1.4%    
30.0%1.4%    2.9%    5.7%    0.0%
41.4%    0.0%1.4%    0.0%0.0%
60.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 387: Popularity - Adult
It is expected that pecking order in social areas will determine number of children.

69 Responses:
 Popularity - Adult →
 
Children, Current # of Born Children ↓ 		MUCH-MOREMOREAVGLESSMUCH-LESS
01.4%    2.9%    15.9%    7.2%    2.9%    
0.0%0.0%0.0%0.0%0.0%
10.0%4.3%    8.7%    2.9%    0.0%
21.4%    4.3%    29.0%    4.3%    1.4%    
31.4%    2.9%    2.9%    2.9%    0.0%
41.4%    0.0%1.4%    0.0%0.0%
60.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 391: First Pregnancy Age

62 Responses:
 First Pregnancy Age →
 
Children, Current # of Born Children ↓ 		0141617181920222425262832333442
019.4%    0.0%0.0%0.0%0.0%3.2%    0.0%0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%0.0%1.6%    
0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
13.2%    0.0%0.0%0.0%0.0%3.2%    0.0%1.6%    0.0%1.6%    1.6%    0.0%3.2%    0.0%0.0%1.6%    0.0%
23.2%    0.0%1.6%    0.0%4.8%    3.2%    4.8%    4.8%    3.2%    4.8%    4.8%    4.8%    0.0%1.6%    1.6%    0.0%0.0%
30.0%0.0%0.0%1.6%    1.6%    3.2%    3.2%    0.0%1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
40.0%0.0%0.0%0.0%3.2%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
60.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 392: First Child Age

63 Responses:
 First Child Age →
 
Children, Current # of Born Children ↓ 		016171819202122232425262729303233343640
022.2%    0.0%0.0%0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
11.6%    0.0%0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%0.0%1.6%    3.2%    0.0%3.2%    0.0%1.6%    0.0%1.6%    1.6%    1.6%    
23.2%    0.0%0.0%0.0%4.8%    1.6%    6.3%    1.6%    1.6%    0.0%6.3%    1.6%    6.3%    3.2%    0.0%1.6%    0.0%1.6%    3.2%    0.0%0.0%
30.0%0.0%1.6%    0.0%1.6%    3.2%    3.2%    0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
40.0%0.0%0.0%1.6%    1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
60.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%



Correlation of 436: Children, # Expected/Desired Vs. 324: Children, Current # of Born Children

54 Responses:
 Children, Current # of Born Children →
 
Children, # Expected/Desired ↓ 		012346
014.8%    0.0%1.9%    3.7%    0.0%0.0%0.0%
10.0%0.0%13.0%    0.0%0.0%0.0%0.0%
211.1%    0.0%1.9%    33.3%    1.9%    0.0%0.0%
33.7%    0.0%0.0%1.9%    3.7%    0.0%0.0%
40.0%0.0%0.0%0.0%1.9%    0.0%0.0%
60.0%0.0%0.0%1.9%    0.0%1.9%    0.0%
70.0%0.0%0.0%1.9%    0.0%0.0%0.0%
300.0%0.0%0.0%0.0%1.9%    0.0%0.0%



Correlation of 307: Married Vs. 324: Children, Current # of Born Children

88 Responses:
 Children, Current # of Born Children →
 
Married ↓ 		012346
NO, Never14.8%    0.0%1.1%    1.1%    0.0%0.0%0.0%
NO, but previously2.3%    0.0%2.3%    5.7%    2.3%    1.1%    0.0%
YES, first time8.0%    0.0%8.0%    15.9%    3.4%    0.0%0.0%
YES, second time3.4%    0.0%4.5%    9.1%    2.3%    1.1%    0.0%
Yes, third or more2.3%    0.0%0.0%5.7%    2.3%    0.0%1.1%    


25 Responses from Males:
Children, Current # of Born Children →
x Married ↓ 		012346
NO, Never24%    0%0%0%0%0%0%
NO, but previously4%    0%4%    4%    0%0%0%
YES, first time12%    0%8%    12%    4%    0%0%
YES, second time4%    0%8%    12%    0%0%0%
Yes, third or more0%0%0%4%    0%0%0%


63 Responses from Females:
Children, Current # of Born Children →
x Married ↓ 		012346
NO, Never11%    0%1%    1%    0%0%0%
NO, but previously1%    0%1%    6%    3%    1%    0%
YES, first time6%    0%7%    17%    3%    0%0%
YES, second time3%    0%3%    7%    3%    1%    0%
Yes, third or more3%    0%0%6%    3%    0%1%    



Correlation of 324: Children, Current # of Born Children Vs. 117: Nipple Size
So far it seems as # of children direclty relates to nipple size amount in females and indirectly in males.

96 Responses:
 Nipple Size →
 
Children, Current # of Born Children ↓ 		Very SmallSmallAverageLargeVery Large
00.0%8.3%    17.7%    4.2%    2.1%    
0.0%0.0%0.0%0.0%0.0%
10.0%6.2%    6.2%    3.1%    0.0%
22.1%    8.3%    19.8%    3.1%    3.1%    
30.0%1.0%    6.2%    1.0%    0.0%
40.0%0.0%3.1%    1.0%    0.0%
60.0%0.0%1.0%    0.0%0.0%


27 Responses from Males:
Nipple Size →
x Children, Current # of Born Children ↓ 		Very SmallSmallAverageLargeVery Large
00%14%    22%    7%    0%
0%0%0%0%0%
10%14%    0%0%0%
23%    18%    11%    0%0%
30%3%    0%0%0%
40%0%0%0%0%
60%0%0%0%0%


69 Responses from Females:
Nipple Size →
x Children, Current # of Born Children ↓ 		Very SmallSmallAverageLargeVery Large
00%5%    15%    2%    2%    
0%0%0%0%0%
10%2%    8%    4%    0%
21%    4%    23%    4%    4%    
30%0%8%    1%    0%
40%0%4%    1%    0%
60%0%1%    0%0%


Details:
This is expected as nipple size and fertility are both regulated by sex hormones.


Correlation of 324: Children, Current # of Born Children Vs. 118: Nipple Protrusion
So far it seems as # of children direclty relates to protrusion amount in females and indirectly in males.

97 Responses:
 Nipple Protrusion →
 
Children, Current # of Born Children ↓ 		FarAverageShort
06.2%    17.5%    9.3%    
0.0%0.0%0.0%
12.1%    12.4%    2.1%    
24.1%    23.7%    7.2%    
30.0%5.2%    3.1%    
42.1%    2.1%    0.0%
60.0%1.0%    0.0%


27 Responses from Males:
Nipple Protrusion →
x Children, Current # of Born Children ↓ 		FarAverageShort
07%    22%    14%    
0%0%0%
13%    11%    3%    
20%14%    14%    
30%0%3%    
40%0%0%
60%0%0%


70 Responses from Females:
Nipple Protrusion →
x Children, Current # of Born Children ↓ 		FarAverageShort
05%    15%    7%    
0%0%0%
11%    12%    1%    
25%    27%    4%    
30%7%    2%    
42%    2%    0%
60%1%    0%


Details:
This is expected as nipple size and fertility are both regulated by sex hormones.


Correlation of 448: Menstrual Cramps Vs. 324: Children, Current # of Born Children

52 Responses:
 Children, Current # of Born Children →
 
Menstrual Cramps ↓ 		012346
None, Male9.6%    0.0%5.8%    7.7%    1.9%    0.0%0.0%
None, Post-Menopause11.5%    0.0%3.8%    11.5%    3.8%    1.9%    0.0%
Very Painful1.9%    0.0%1.9%    1.9%    0.0%0.0%0.0%
Painful3.8%    0.0%3.8%    9.6%    0.0%0.0%0.0%
Average Cramps0.0%0.0%1.9%    1.9%    0.0%0.0%0.0%
Light Pain3.8%    0.0%0.0%1.9%    1.9%    0.0%0.0%
Very Light Pain0.0%0.0%0.0%1.9%    0.0%0.0%0.0%



Correlation of 455: Age of Menopause Vs. 324: Children, Current # of Born Children

52 Responses:
 Children, Current # of Born Children →
 
Age of Menopause ↓ 		012346
019.2%    0.0%13.5%    28.8%    3.8%    0.0%0.0%
220.0%0.0%0.0%0.0%0.0%1.9%    0.0%
360.0%0.0%0.0%1.9%    0.0%0.0%0.0%
381.9%    0.0%0.0%0.0%0.0%0.0%0.0%
400.0%0.0%0.0%0.0%1.9%    0.0%0.0%
411.9%    0.0%0.0%0.0%0.0%0.0%0.0%
440.0%0.0%1.9%    0.0%0.0%0.0%0.0%
451.9%    0.0%0.0%0.0%0.0%0.0%0.0%
471.9%    0.0%0.0%0.0%0.0%0.0%0.0%
480.0%0.0%0.0%1.9%    1.9%    0.0%0.0%
490.0%0.0%1.9%    1.9%    0.0%0.0%0.0%
501.9%    0.0%0.0%1.9%    0.0%0.0%0.0%
510.0%0.0%0.0%1.9%    1.9%    0.0%0.0%
521.9%    0.0%0.0%0.0%0.0%0.0%0.0%
530.0%0.0%0.0%1.9%    0.0%0.0%0.0%



Correlation of 457: Cervix - Pap Smear Vs. 324: Children, Current # of Born Children

52 Responses:
 Children, Current # of Born Children →
 
Cervix - Pap Smear ↓ 		012346
None, Male9.6%    0.0%5.8%    7.7%    1.9%    0.0%0.0%
None, Never Tested3.8%    0.0%0.0%1.9%    0.0%0.0%0.0%
Class I - Negative (Normal)13.5%    0.0%11.5%    25.0%    5.8%    1.9%    0.0%
Class II - Atypical (Mild Dysplasia)1.9%    0.0%0.0%1.9%    0.0%0.0%0.0%
Class III - Mild, moderate, or severe abnormality (Moderate Dysplasia)1.9%    0.0%0.0%0.0%0.0%0.0%0.0%
Class IV - Carcinoma in situ (Severe Dysplasia)0.0%0.0%0.0%1.9%    0.0%0.0%0.0%
Class V - Invasive Cancer cells0.0%0.0%0.0%0.0%0.0%0.0%0.0%



Correlation of 454: Children - Your Age for your First Born Vs. 324: Children, Current # of Born Children

52 Responses:
 Children, Current # of Born Children →
 
Children - Your Age for your First Born ↓ 		012346
026.9%    0.0%0.0%3.8%    0.0%0.0%0.0%
171.9%    0.0%0.0%0.0%0.0%0.0%0.0%
180.0%0.0%1.9%    3.8%    1.9%    1.9%    0.0%
190.0%0.0%0.0%0.0%3.8%    0.0%0.0%
200.0%0.0%0.0%3.8%    1.9%    0.0%0.0%
210.0%0.0%0.0%1.9%    0.0%0.0%0.0%
220.0%0.0%0.0%1.9%    0.0%0.0%0.0%
230.0%0.0%0.0%0.0%1.9%    0.0%0.0%
241.9%    0.0%0.0%7.7%    0.0%0.0%0.0%
250.0%0.0%0.0%1.9%    0.0%0.0%0.0%
260.0%0.0%3.8%    5.8%    0.0%0.0%0.0%
270.0%0.0%0.0%3.8%    0.0%0.0%0.0%
280.0%0.0%1.9%    0.0%0.0%0.0%0.0%
290.0%0.0%1.9%    0.0%0.0%0.0%0.0%
320.0%0.0%1.9%    1.9%    0.0%0.0%0.0%
330.0%0.0%0.0%1.9%    0.0%0.0%0.0%
340.0%0.0%1.9%    1.9%    0.0%0.0%0.0%
360.0%0.0%1.9%    0.0%0.0%0.0%0.0%
400.0%0.0%1.9%    0.0%0.0%0.0%0.0%



Correlation of 358: Breast Size Vs. 324: Children, Current # of Born Children
Large breasted women tend to have more children.

79 Responses:
 Children, Current # of Born Children →
 
Breast Size ↓ 		012346
Very Small1.3%    0.0%1.3%    2.5%    0.0%0.0%0.0%
Small5.1%    0.0%1.3%    10.1%    0.0%0.0%0.0%
Average16.5%    0.0%6.3%    11.4%    6.3%    0.0%0.0%
Large3.8%    0.0%3.8%    5.1%    3.8%    1.3%    0.0%
Very Large3.8%    0.0%2.5%    5.1%    0.0%1.3%    0.0%


23 Responses from Males:
Children, Current # of Born Children →
x Breast Size ↓ 		012346
Very Small0%0%0%0%0%0%0%
Small4%    0%4%    0%0%0%0%
Average26%    0%8%    17%    4%    0%0%
Large8%    0%4%    0%0%0%0%
Very Large0%0%0%0%0%0%0%


56 Responses from Females:
Children, Current # of Born Children →
x Breast Size ↓ 		012346
Very Small1%    0%1%    3%    0%0%0%
Small5%    0%0%14%    0%0%0%
Average12%    0%5%    8%    7%    0%0%
Large1%    0%3%    7%    5%    1%    0%
Very Large5%    0%3%    7%    0%1%    0%



Correlation of 461: Attractiveness Vs. 324: Children, Current # of Born Children

51 Responses:
 Children, Current # of Born Children →
 
Attractiveness ↓ 		012346
Very Attractive2.0%    0.0%0.0%2.0%    2.0%    2.0%    0.0%
Attractive5.9%    0.0%9.8%    11.8%    2.0%    0.0%0.0%
Average21.6%    0.0%7.8%    23.5%    5.9%    0.0%0.0%
Un-Attractive0.0%0.0%0.0%0.0%0.0%0.0%0.0%
Very Un-Attractive2.0%    0.0%0.0%0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 196: Breast Fed

122 Responses:
 Breast Fed →
 
Children, Current # of Born Children ↓ 		YESNO
018.0%    11.5%    
0.0%0.0%
19.0%    8.2%    
213.9%    20.5%    
34.9%    4.9%    
42.5%    0.8%    
60.8%    0.0%



Correlation of 324: Children, Current # of Born Children Vs. 197: Breast Fed Year

121 Responses:
 Breast Fed Year →
 
Children, Current # of Born Children ↓ 		YESNO
010.7%    16.5%    
0.0%0.0%
15.0%    10.7%    
28.3%    27.3%    
32.5%    8.3%    
41.7%    1.7%    
60.8%    0.0%


28 Responses from Males:
Breast Fed Year →
x Children, Current # of Born Children ↓ 		YESNO
014%    17%    
0%0%
13%    10%    
214%    25%    
33%    0%
40%0%
60%0%


93 Responses from Females:
Breast Fed Year →
x Children, Current # of Born Children ↓ 		YESNO
09%    16%    
0%0%
15%    10%    
26%    27%    
32%    10%    
42%    2%    
61%    0%



Correlation of 506: Diet - Joice Containers Vs. 324: Children, Current # of Born Children

33 Responses:
 Children, Current # of Born Children →
 
Diet - Joice Containers ↓ 		012346
Steel0.0%0.0%0.0%0.0%0.0%0.0%0.0%
Glass6.1%    0.0%0.0%9.1%    0.0%3.0%    0.0%
Plastic12.1%    0.0%15.2%    18.2%    6.1%    0.0%0.0%
Aluminum0.0%0.0%0.0%0.0%0.0%0.0%0.0%
Cardboard15.2%    0.0%0.0%12.1%    0.0%0.0%0.0%


9 Responses from Males:
Children, Current # of Born Children →
x Diet - Joice Containers ↓ 		012346
Steel0%0%0%0%0%0%0%
Glass11%    0%0%11%    0%0%0%
Plastic0%0%33%    0%11%    0%0%
Aluminum0%0%0%0%0%0%0%
Cardboard33%    0%0%0%0%0%0%


24 Responses from Females:
Children, Current # of Born Children →
x Diet - Joice Containers ↓ 		012346
Steel0%0%0%0%0%0%0%
Glass4%    0%0%8%    0%4%    0%
Plastic16%    0%8%    25%    4%    0%0%
Aluminum0%0%0%0%0%0%0%
Cardboard8%    0%0%16%    0%0%0%



Correlation of 389: Sleep Hours Vs. 324: Children, Current # of Born Children
People with more children sleep longer hours each night.

70 Responses:
 Children, Current # of Born Children →
 
Sleep Hours ↓ 		012346
31.4%    0.0%0.0%0.0%0.0%0.0%0.0%
40.0%0.0%0.0%2.9%    0.0%0.0%0.0%
52.9%    0.0%0.0%2.9%    2.9%    0.0%0.0%
65.7%    0.0%1.4%    10.0%    0.0%0.0%0.0%
711.4%    0.0%12.9%    14.3%    4.3%    0.0%0.0%
87.1%    0.0%1.4%    5.7%    2.9%    2.9%    0.0%
92.9%    0.0%0.0%2.9%    0.0%0.0%0.0%
100.0%0.0%0.0%1.4%    0.0%0.0%0.0%



Correlation of 558: Children, # Expected Vs. 324: Children, Current # of Born Children

19 Responses:
 Children, Current # of Born Children →
 
Children, # Expected ↓ 		012346
021.1%    0.0%0.0%0.0%0.0%0.0%0.0%
10.0%0.0%15.8%    0.0%0.0%0.0%0.0%
210.5%    0.0%0.0%36.8%    0.0%0.0%0.0%
35.3%    0.0%0.0%0.0%5.3%    0.0%0.0%
40.0%0.0%0.0%0.0%5.3%    0.0%0.0%



Correlation of 557: Children, # Desired Vs. 324: Children, Current # of Born Children

19 Responses:
 Children, Current # of Born Children →
 
Children, # Desired ↓ 		012346
010.5%    0.0%0.0%0.0%0.0%0.0%0.0%
10.0%0.0%15.8%    0.0%0.0%0.0%0.0%
215.8%    0.0%0.0%36.8%    5.3%    0.0%0.0%
35.3%    0.0%0.0%0.0%0.0%0.0%0.0%
40.0%0.0%0.0%0.0%5.3%    0.0%0.0%
65.3%    0.0%0.0%0.0%0.0%0.0%0.0%



Correlation of 559: Children, Conceptions, # of Vs. 324: Children, Current # of Born Children

19 Responses:
 Children, Current # of Born Children →
 
Children, Conceptions, # of ↓ 		012346
026.3%    0.0%0.0%0.0%0.0%0.0%0.0%
10.0%0.0%10.5%    0.0%0.0%0.0%0.0%
25.3%    0.0%0.0%31.6%    0.0%0.0%0.0%
30.0%0.0%0.0%5.3%    5.3%    0.0%0.0%
45.3%    0.0%5.3%    0.0%0.0%0.0%0.0%
50.0%0.0%0.0%0.0%5.3%    0.0%0.0%



Correlation of 560: Children, Living Vs. 324: Children, Current # of Born Children

19 Responses:
 Children, Current # of Born Children →
 
Children, Living ↓ 		012346
031.6%    0.0%0.0%5.3%    0.0%0.0%0.0%
10.0%0.0%15.8%    0.0%0.0%0.0%0.0%
20.0%0.0%0.0%31.6%    0.0%0.0%0.0%
35.3%    0.0%0.0%0.0%10.5%    0.0%0.0%

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