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 blocks also contains some blocks which are outside of my neighborhood and shouldn't be counted or included.
Since I won't be able to calculate the median age from the age and count data, and since the individual data doesn't seem to be available, is it your thought that I can't produce a valid median age for a group of census blocks? Thanks so much for your advice. -Kevin On 8/7/23 14:38, Josiah Parry wrote: > 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 objective is with it. I would use a geography of census block > groups as the measure of median for census block groups. Otherwise it is > unclear how you are defining what a "group of blocks" is. > > On Mon, Aug 7, 2023 at 2:34 PM Kevin Zembower via R-sig-Geo > <r-sig-geo@r-project.org <mailto:r-sig-geo@r-project.org>> wrote: > > 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( > geography = "block", > state = "MD", > county = "Baltimore city", > table = "P1", > year = 2020, > sumfile = "dhc") %>% > mutate(NAME = NULL) %>% > filter(substr(GEOID, 6, 11) == "271101" & > substr(GEOID, 12, 15) %in% c(3000, 3001, 3002) > ) > > ages <- get_decennial( > geography = "block", > state = "MD", > county = "Baltimore city", > table = "P13", > year = 2020, > sumfile = "dhc") %>% > mutate(NAME = NULL) %>% > filter(substr(GEOID, 6, 11) == "271101" & > substr(GEOID, 12, 15) %in% c(3000, 3001, 3002) > ) > > I have two questions: > > 1. Is it mathematically valid to multiply the population of a block by > the median age of that block (in other words, assign the median age to > each member of a block), then calculate the median of those numbers for > a group of blocks? > > 2. Is raw data on the ages of individuals available anywhere else in > the > census data? I can find tables such as P12, that breaks down the > population by age ranges or bins, but can't find specific data of > counts > per age in years. > > Thanks for your advice and help. > > -Kevin > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@r-project.org <mailto:R-sig-Geo@r-project.org> > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > <https://stat.ethz.ch/mailman/listinfo/r-sig-geo> > _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
