A few weeks ago after the community
meeting with the Department of Children and Families I decided to
run a survey to learn more about the range of ages at which people
generally thought kids might be ready to do various activities without
supervision. Stay home for a few hours? Play at the park alone?
Take public transit? I put something together on
Google Forms and shared
it
on
Facebook and over email. Several friends shared it further, and
over the next two weeks it gathered 219 responses. In reading the
following please remember that this is not a representative sample of
anything: it’s heavily oversampling people geographically and socially
similar to me!
The main part of the survey was a series of questions about scenarios
(“play in an unfenced backyard”, “cross a medium-traffic street”,
“spend the night home alone”) and asking “what age you’d guess the
typical child in your area could learn to do it without supervision”.
Here are the average responses:
The survey also asked “the ages you’d guess for an especially mature
child (90th percentile) or an especially immature child (10th
percentile)”, assuming “the child doesn’t have any relevant
disabilities.” Here’s that chart again, with the addition of the
estimates for especially mature or immature children:
Taking medians is helpful for distilling each question down to a few
numbers, but the wide range of responses are interesting. Here are CDF
plots for each question. The way to read these is that at a given
age (x-axis) they tell you what fraction of parents (y-axis) think a
child this old is likely ready. You can think of the previous bar
chart as a collection of the the y=50% slices from each of the charts
below:
I’m also interested in how people’s backgrounds relate to their
answers in these scenarios. First, let’s look at what demographics we
saw. The median respondent was 40 when they filled out the survey:
Most respondents were female (83%), followed by male (13%), and
non-binary (5%).
Living in an urban area, most of the people I was able to survey also
lived in an urban area:
They overwhelmingly grew up in more suburban areas, though:
Most respondents were parents (88%) and the most common number of
children was 2 (45%):
The median parent’s oldest child was 8 and most of the parents had an
oldest child under 18 (92%), but there were a few parents of grown
children:
So, how do these demographics interact with what sorts of ages people
gave? Here is how the respondents differed from the mean, in years.
For example, a dot at +1y indicates that this respondent on average
gave answers one year larger than others. We can see that women
generally gave ~1y higher ages than men, with non-binary respondents
in between:
The orange bar is median, green triangle is mean.
Normally you’d use z-scores for this, where the x-axis is “standard
deviations away from the mean” but in this case the standard
deviations are similar between questions and I think it easier to
think about with the x-units in years. This does mean that questions
with more variance effectively have a bit more weight in determining
how to classify each respondent.
Here’s the same chart, but by respondent ages:
Ignoring the four responses from kids because of the small sample
size, it looks like older people generally gave higher ages. I don’t
know if this is because they’re farther from having kids in the
relevant age ranges, have become more conservative over time, or were
drawn from a somewhat different population than the younger people in
the sample? If we ran this survey decades ago I’d expect to generally
see younger ages, so this is a counter-intuitive result!
Here’s by location:
It looks like people who live in exurban or rural areas, generally
gave higher ages. This is also a bit counterintuitive: people often
think of cities as less safe, so it’s a bit surprising that urban
respondents (asked specifically about “your area”) would give lower
ages. Some factors going the other way are that I’m likely mostly
surveying relatively rich urban residents who live in relatively safe
areas of cities, that parents who think cities are less safe for kids
are more likely to move farther from cities? That this mostly matches
up with where people grew up makes me guess this is more about
parental disposition than about the environments?
Let’s compare respondents by their children:
One thing that jumps out immediately is that parents give ~1y higher
ages than non-parents. I suspect parents are generally much better
calibrated on this: the difference between 7 and 8 can be pretty big,
but if you haven’t spent much time around people in this age range
(and non-parents are much less likely to) your sense won’t be very
good.
I’m not sure what’s going on with the patterns in number of
kids—three kids does seem to be pretty different from 1, 2, or
4+ but I can’t think of why it would be.
With patterns by oldest-child age maybe there’s a small effect in the
4-12 groups where as your kids get older you think kids should be
older to do things, but this could be noise: I can’t think of why it
would reverse for 13+.
The code that generated these charts is on
github. If there’s another chart you’d be interested to see, let
me know!
[Suburban (almost all single-family housing, few places to go without driving)]
[Exurban (houses widely spaced, you need a car)]
[Rural (houses very far from other houses)]
[Other: …]
Q4: How would you describe the area where you grew up? (If multiple, where you spent the majority of your time from 5-13) [same options as Q3]
How many children do you have, if any? [I don’t have children / 1 / 2 / 3 / 4 / 5+]
Q5: How old is your oldest child, if you have one? [short answer]
In the following questions we describe an activity, and we’re interested in at what age you’d guess the typical child in your area could learn to do it without supervision. For example, if you think the typical eight year old could learn to do the given activity unsupervised, you would put “8”.
Q6: Spend fifteen minutes home alone [short answer]
Q7: Spend three hours home alone [short answer]
Q8: Spend the night home alone [short answer]
Q9: Cross a low-traffic street [short answer]
Q10: Cross a medium-traffic street [short answer]
Q11: Cross a busy road [short answer]
Q12: Walk to/from school or a friend’s house, assuming they can cross all the streets [short answer]
Q13: Play in an unfenced backyard [short answer]
Q14: Play in an unfenced front yard [short answer]
Q15: Play on the sidewalk in front of their house [short answer]
Q16: Play at a playground they can walk home from [short answer]
Q17: Take public transit [short answer]
Q18: Bike, scooter, or skate around the neighborhood [short answer]
Q19: Anything you’d like to clarify about your answers above? [short answer]
We’re also interested in the ages you’d guess for an especially mature child (90th percentile) or an especially immature child (10th percentile). For each question, assume the child doesn’t have any relevant disabilities. If you thought that a child might be able to learn how to do the given activity unsupervised as early as six or it might be as late as ten, you’d enter your answer as “6-10”.
Q20-Q33: Questions Q6 through Q19 repeat.
Q34: Where did you hear about this survey? [short answer]
Ages Survey: Results
Link post
A few weeks ago after the community meeting with the Department of Children and Families I decided to run a survey to learn more about the range of ages at which people generally thought kids might be ready to do various activities without supervision. Stay home for a few hours? Play at the park alone? Take public transit? I put something together on Google Forms and shared it on Facebook and over email. Several friends shared it further, and over the next two weeks it gathered 219 responses. In reading the following please remember that this is not a representative sample of anything: it’s heavily oversampling people geographically and socially similar to me!
The main part of the survey was a series of questions about scenarios (“play in an unfenced backyard”, “cross a medium-traffic street”, “spend the night home alone”) and asking “what age you’d guess the typical child in your area could learn to do it without supervision”. Here are the average responses:
The survey also asked “the ages you’d guess for an especially mature child (90th percentile) or an especially immature child (10th percentile)”, assuming “the child doesn’t have any relevant disabilities.” Here’s that chart again, with the addition of the estimates for especially mature or immature children:
Taking medians is helpful for distilling each question down to a few numbers, but the wide range of responses are interesting. Here are CDF plots for each question. The way to read these is that at a given age (x-axis) they tell you what fraction of parents (y-axis) think a child this old is likely ready. You can think of the previous bar chart as a collection of the the y=50% slices from each of the charts below:
I’m also interested in how people’s backgrounds relate to their answers in these scenarios. First, let’s look at what demographics we saw. The median respondent was 40 when they filled out the survey:
Most respondents were female (83%), followed by male (13%), and non-binary (5%).
Living in an urban area, most of the people I was able to survey also lived in an urban area:
They overwhelmingly grew up in more suburban areas, though:
Most respondents were parents (88%) and the most common number of children was 2 (45%):
The median parent’s oldest child was 8 and most of the parents had an oldest child under 18 (92%), but there were a few parents of grown children:
So, how do these demographics interact with what sorts of ages people gave? Here is how the respondents differed from the mean, in years. For example, a dot at +1y indicates that this respondent on average gave answers one year larger than others. We can see that women generally gave ~1y higher ages than men, with non-binary respondents in between:
The orange bar is median, green triangle is mean.
Normally you’d use z-scores for this, where the x-axis is “standard deviations away from the mean” but in this case the standard deviations are similar between questions and I think it easier to think about with the x-units in years. This does mean that questions with more variance effectively have a bit more weight in determining how to classify each respondent.
Here’s the same chart, but by respondent ages:
Ignoring the four responses from kids because of the small sample size, it looks like older people generally gave higher ages. I don’t know if this is because they’re farther from having kids in the relevant age ranges, have become more conservative over time, or were drawn from a somewhat different population than the younger people in the sample? If we ran this survey decades ago I’d expect to generally see younger ages, so this is a counter-intuitive result!
Here’s by location:
It looks like people who live in exurban or rural areas, generally gave higher ages. This is also a bit counterintuitive: people often think of cities as less safe, so it’s a bit surprising that urban respondents (asked specifically about “your area”) would give lower ages. Some factors going the other way are that I’m likely mostly surveying relatively rich urban residents who live in relatively safe areas of cities, that parents who think cities are less safe for kids are more likely to move farther from cities? That this mostly matches up with where people grew up makes me guess this is more about parental disposition than about the environments?
Let’s compare respondents by their children:
One thing that jumps out immediately is that parents give ~1y higher ages than non-parents. I suspect parents are generally much better calibrated on this: the difference between 7 and 8 can be pretty big, but if you haven’t spent much time around people in this age range (and non-parents are much less likely to) your sense won’t be very good.
I’m not sure what’s going on with the patterns in number of kids—three kids does seem to be pretty different from 1, 2, or 4+ but I can’t think of why it would be.
With patterns by oldest-child age maybe there’s a small effect in the 4-12 groups where as your kids get older you think kids should be older to do things, but this could be noise: I can’t think of why it would reverse for 13+.
The code that generated these charts is on github. If there’s another chart you’d be interested to see, let me know!
Appendix: Survey Questions
Q1: What is your age? [short answer]
Q2: What’s your gender? [Male / Female / Non-binary / Other: …]
Q3: How would you describe your area?
[Very Urban (tall buildings, no driveways)]
[Moderately Urban (parking is a pain)]
[Slightly Urban (multi-family housing is common)]
[Suburban (almost all single-family housing, few places to go without driving)]
[Exurban (houses widely spaced, you need a car)]
[Rural (houses very far from other houses)]
[Other: …]
Q4: How would you describe the area where you grew up? (If multiple, where you spent the majority of your time from 5-13) [same options as Q3]
How many children do you have, if any? [I don’t have children / 1 / 2 / 3 / 4 / 5+]
Q5: How old is your oldest child, if you have one? [short answer]
In the following questions we describe an activity, and we’re interested in at what age you’d guess the typical child in your area could learn to do it without supervision. For example, if you think the typical eight year old could learn to do the given activity unsupervised, you would put “8”.
Q6: Spend fifteen minutes home alone [short answer]
Q7: Spend three hours home alone [short answer]
Q8: Spend the night home alone [short answer]
Q9: Cross a low-traffic street [short answer]
Q10: Cross a medium-traffic street [short answer]
Q11: Cross a busy road [short answer]
Q12: Walk to/from school or a friend’s house, assuming they can cross all the streets [short answer]
Q13: Play in an unfenced backyard [short answer]
Q14: Play in an unfenced front yard [short answer]
Q15: Play on the sidewalk in front of their house [short answer]
Q16: Play at a playground they can walk home from [short answer]
Q17: Take public transit [short answer]
Q18: Bike, scooter, or skate around the neighborhood [short answer]
Q19: Anything you’d like to clarify about your answers above? [short answer]
We’re also interested in the ages you’d guess for an especially mature child (90th percentile) or an especially immature child (10th percentile). For each question, assume the child doesn’t have any relevant disabilities. If you thought that a child might be able to learn how to do the given activity unsupervised as early as six or it might be as late as ten, you’d enter your answer as “6-10”.
Q20-Q33: Questions Q6 through Q19 repeat.
Q34: Where did you hear about this survey? [short answer]
Q35: Any other comments? [short answer]
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