That's great to hear, I'm excited to use the new PUMAs in the 2022 5yr survey for the older data for a question I'm working on. I have a tangential question.
In my work I've been using the tidycensus, survey, and srvyr packages in R and calling…
A colleague was recalculating derived variables from the ACS for a research study and is trying to calculate Margin of Error for population density using guidance here: https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08…
If you download the table using the API you will find numeric codes in the cells that are suppressed. The codes are here.
https://www.census.gov/data/developers/data-sets/acs-1year/notes-on-acs-estimate-and-annotation-values.html
There are other rules…
I am looking to calculate margin of error for percents calculated using ACS 5-year estimates at the block group level for the variable C17002 (ratio of poverty level to income for the past 6 months).
Does the VRE table for this variable include estimates…
The microdata is a sub-set of the ACS sample. As a subset, one would expect that it would not produce the same results as shown in the summary tables. However, I would at least expect it to not vary significantly and to be within the margins of error…
C = Current estimate, M_C = Margin of error on Current Estimate,
P = Previous estimate, M_P = Margin of error on Previous Estimate,
% change = (C-P) / P = (C/P) - 1
Margin of error on % change = sqrt( M_C^2 + (C/P)^2 * M_P^2 ) / P
The col names in S0201 are different. Usually, they have 3 parts, but in this table, only 2, and the API calls fail. Are there some tables with diff name configurations, or is this just some kind of error? I tried to add a middle part (C01), but that…
The thing that's most beguiling about this isn't the differences, but that some states have exactly matching numbers. If margins of error were the culprit, I wouldn't really expect any states to have exactly matching numbers. Note that there are a very…
Yes, you can get entire tables by using the Group() notation:
https://api.census.gov/data/2022/acs/acs5?get=NAME,group(C17002)&for=state:*
Only thing is that you get the E (estimate) fields, M (margins of error) fields, along with the EA and MA fields…
What do you mean by maximize data analysis? Do you mean reduce the margins of error? If so, pooling across multiple weeks is one way to increase sample size and improve reliability of estimates...