Hi Kevin and all,
Given the binned data, you could count the number of people per age class
for those 10 blocks. You can then express that in a number of
different ways, like percent under 25 years old, or by calculating the
dependency
ratio
Josiah, thanks for your reply.
Regarding my objective, I'm trying to compile census statistics for the
blocks that make up the neighborhood where I live. It consists of ten
census blocks, of which I selected three for simplicity in my example.
The census block-group which contains these ten
Responses to your questions:
Q1: No. It is not mathematically valid, sadly.
Q2: I do not know, but your intuition that this is a possible solution is
correct.
I don't use US Census data anymore, but suspect that the data exists. Whether
they are publicly-available is a different question. I
Yes, I see what you mean:
> median(c(60, 50, 40, 20, 20, 20))
[1] 30
> median(c(50, 50, 50, 20, 20, 20))
[1] 35
>
Thanks so much for that clear example.
-Kevin
On 8/7/23 14:45, Sean Trende wrote:
> This is correct on the second question, at least for more recent censuses.
> On the first
This is correct on the second question, at least for more recent censuses. On
the first question, imagine a block where the ages of three individuals are 60,
50, and 40, and another one where the ages are 20, 20, and 20. Using your
approach you would have 50 * 3 = 150 for the first block, and
Hey Kevin, I don't think you're going to be able to get individual level
data from the US Census Bureau. The closest you may be able to get is the
current population survey (CPS) which I believe is also available via
tidycensus. Regarding your first question, I'm not sure I follow what your
Hello, all,
I'd like to obtain the median age for a population in a specific group
of US Decennial census blocks. Here's an example of the problem:
## Example of calculating median age of population in census blocks.
library(tidyverse)
library(tidycensus)
counts <- get_decennial(
I strongly agree with Michael Sumner. Mathematical adjustments may work but
are heavily discouraged. The right way to work is to create two different
spatial objects (I recommend to use the vect function of terra package) and
then to reproject one of them in the other reference system or both
