A census is a study that includes observations for every member of the population being studied, as opposed to a sample from that population.
Questions tagged [census]
57 questions
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How much information can you mine out of a name?
A name: first, possibly a middle, and surname.
I'm curious about how much information you can mine out of a name, using publicly available datasets. I know that you can get the following with anywhere between a low-high probability (depending on the…
Finglas Fjorn
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How can I simulate census microdata for small areas using a 1% microdata sample at a large scale and aggregate statistics at the small area scale?
I would like to perform an individual-level multivariate analysis at small levels of geographic aggregation (Australian census collection districts). Clearly, the census isn't available at these small levels of aggregation for privacy reasons so I…

fmark
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Are sample statistics relevant when comparing census data across time periods?
I've had people tell me on numerous occasions that you can / should do tests normally reserved for sample statistics (e.g., difference of means etc.) on census data when you are comparing figures over time. The claim usually made is that this is…

BenHealey
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Can one compute confidence intervals for a census with high nonresponse rates?
If a questionnaire was administered to an entire population (group of interest) and the response rate was 68% can the questionnaire results be generalized to the population (100%, including the 32% missing)? Can confidence intervals be used for the…

nadia
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Regression line envelope from Census ACS data
Context:
I’m working with the Census Bureau’s American Community Survey (ACS) data which are samples (not complete enumerations) aggregated at different spatial scales. Each ACS estimate is provided with a margin of error (which is easily converted…

MannyG
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How to standardize proportions from US Census data
In seeing this New York Times graphic on Where Same Sex Couples Live, it appears that the low population counties have the most variation (comparing North Dakota and Ohio, for instance). Presumably some of that variation is because of the lower…

xan
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recommendations to analyze a survey of the entire sample frame with a 20% response rate
we surveyed all 10,000 professionals in a particular industry. The industry is highly-regulated, so we have contact information for everyone in our population of interest. We attempted to contact 100% of the population. We now have a data set…

Anthony Damico
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How to compare sampled areas to the Census?
I would like to discriminate sampled areas that are representative or not representative of their corresponding population, for a given characteristic.
Suppose I have surveyed areas (i.e. Census tracts) within a given population area (i.e. county).…

Ellis Valentiner
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How to create a synthetic data set of your population or universe from a survey sample?
I am thinking about how best to construct a data set containing one record for every individual in the entire United States population starting from something like the American community survey or the United States decennial census public use…

Anthony Damico
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census statistical techniques
All of my statistical training has been about dealing with samples (psych background). I am involved in a project where we have a census dataset (demographic data from all the relocation sites throughout Phnom Penh, Cambodia). I am not certain if…

ndthl
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Forecasting demographic census
What are some of the ways to forecast demographic census with some validation and calibration techniques?
Some of the concerns:
Census blocks vary in sizes as rural
areas are a lot larger than condensed
urban areas. Is there a need to account for…

dassouki
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4
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Where is traditional inference really relevant?
I have been occupied with a fairly simple question regarding ordinary inference procedures where my own, and many others, practice feels slightly uncomfortable. We know that the purpose of ordinary inferential methods is to deal with the situation…

Robert L
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How should very large sample sizes be used?
At what point can very large samples, as a proportion of the population, be treated as a census? For example, if your sample contains 90% of the population units, can one dispense with inferential statistical inferences? What about 80%? And so on .…

Scott Hale
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Using multi-year estimate data from American Community Survey in models?
(EDITED FOR CLARITY) I have been looking around, and I can't seem the find the answer to my question. Apologies if it has been hiding in plain sight.
In order to obtain school district-level information, I have been using American Community Survey…

RickyB
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Is there a simplistic model to disaggregate census data based on years and smaller zones?
In a nutshell, here's what I have:
Annual population estimates for the State
Periodical (5 years) age, population, and basic census data per zones
Here's what I want to do:
Create a simplistic model to generate the data for the missing years…

dassouki
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