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Questions tagged [census]

A census is a study that includes observations for every member of the population being studied, as opposed to a sample from that population.

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Comparing Tract-level data to State-level?

I'm using firearm trace data (available at the state-level) and attempting to compare it to socially disadvantaged areas (census tracts) by the way of regression analysis. Katz and Schnebly (2011) ...
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How to adjust poisson regression to census age group data? Which approach is statistically more robust?

Dear statistical enthusiasts, I'm trying to assess the relationship between the cancer incidence and the various environmental exposure (&ejvar) using poisson regression model at census tract ...
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How to use 5-year ACS census data in an annual regression

Lets say I am running a regression on annual data at the county level and I would like to include some controls based on census data. Some of my counties of interest are below 65k population, so ACS ...
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Most accurate way to express the income of the top 1% in a power distribution?

I have an array of 50,972 household incomes for a small metro area, and I want to measure how much the so-called top "one-percent" make (e.g., the 99th percentile). As you'd expect, it's a power curve:...
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Trying to pull gender differences from US census data?

I want to look at the differences between men and women on wages and hours worked. I have 2010 US Census data from IPUMS. I’ve been using Stata to just look at the averages (my instruction line was <...
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Calculate a Margin of Error for a Re-calculated Median from aggregated ACS data

I am trying to create a function in R to calculate the 90% MOE for a re-calculated median from aggregated ACS data. The steps to do this are described here and I was able to find a custom function ...
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Law of large numbers with population data

The LLN refers to the convergence of the sample average to the population mean when the sample is iid. This is, for a random variable $X$ with $E(X)=\mu$, we know that in a sample of size N, and with ...
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cluster sampling: how to select a representative cluster of wider population

I have a population census dataset of a large city with around 80 categorical variables which have been summarised at the level of an enumeration area i.e. % of households that own their property; % ...
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Assuming that reinstatement of a citizenship question in US Census creates a bias in population size estimate, how can this bias be corrected? [closed]

It seems that the US Government is adding back the question about citizenship to the US Census. The question was in the form since 1890, e.g. see #15 "Is the person naturalized?" here. In 2000 Census ...
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Modelling longitudinal census data in r

I have census data from 2 years (2000 and 2012); a crime variable (violent crime rate) and various socioeconomic variables (median household income, % college education, % pop white non hispanic, etc.)...
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elite survey, pooling data without sufficient info to form a panel

i am working with a political candidate study which surveyed all candidates running at an election. I got two consecutive waves, or in other words, data for two elections. The response rates are about ...
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Appropriate use of correlation as a descriptive statistic for population (Census) data

I'm writing a report on housing vacancy, examining various combinations of variables for factors correlated with vacancy rates recorded in the census. This is for a simple "requires further ...
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How do I compare two geographic datasets with differing subdivisions?

Suppose I'm trying to figure out the relationship between home-ownership and wine drinking. My information on where home-owners live comes from the census, and it divides a given geographical area up ...
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Weighting for stratified, single-stage cluster sampling with unequal cluster sizes

I’m analyzing previously-collected survey data that was collected in the following manner: Data collection was stratified by urban and rural locations, with proportionate allocation of primary ...
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simple question about meaning of “census”

A text defines "census" as a survey of the entire population and "sample" as a survey of part of the population. But the text also claims the US Census is an example of a census. It seems to me the US ...
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Interpolating and aggregating Median Income from binned Census data

I'm working with the most recent ACS Census data for New York City. I'm trying to calculate median income for Neighborhood Tabulation Areas (NTAs), which consist of several Census tracts. The Census ...
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Application of Bayes' Theorem?

For those unfamiliar with census geography, census tracts are made up of multiple block groups. Suppose I have three data tables (all categorical): Block Group Geography x Home Value Block Group ...
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Imputation of missing data

My goal is to estimate nutrition indicators of children less than 5 years old at the subnational level (say provinces) in a given country. I have two datasets: i) survey data that includes this ...
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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 ...
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How do you use Bayesian methods to analyze the American Community Survey Public Use Microdata Sample?

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) comes with weights generated with the replication weight method. There are software packages such as the ...
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1answer
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does census data has to follow a normal law before doing a mean comparison by an ANOVA?

I'm working on some socio demographical (Age, tenure, salary, etc...) data to predict absenteism. I have all the employee data, so i have the entire population. When i run a descriptive analysis for ...
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Since regression analysis is inferential, can it be used on census data?

I read all the comments about using inferential statistics in census studies. From generalizing point of view, it is acceptable for me to not use inferential statistics in census studies. However, I ...
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Undocumented Migrants and Parameters

I have a question about using census data to find population parameters. When you have undocumented migrants, there's an issue because your parameters can be inaccurate. An example is proportion of ...
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Equivalent of significance in population data? [duplicate]

I know that significance tests don't make sense on population data. But how then can I figure out if effect sizes are meaningful? Is it purely a judgement call? Background: I have a census for an ...
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Statistical Data Changing Over Time

I am attempting to determine voter registration rates by race within specific precincts in my county. The local Supervisor of Elections' Office provides data online of the voter registration rates by ...
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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 ...
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Applying inferential statistics for census data

Let's assume I have a census data of a population which I would like to study and it has variables such as age, gender, sex, occupation etc and the dependent variable which is community participation ...
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1answer
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What sampling method will be suitable when there is no published list is available?

As there is no published list of population (employees), how can I select my sample? Even if I want I can not go for judgmental sampling as the academicians in my University strongly disagree for that ...
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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 ...
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1answer
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How to statistically analyse the survey data of the same sample taken at two points in time

I am conducting a study on a sample of 100 people in order to test whether or not education has an effect on employment status. Basically i'm running a logistic regression where education is the ...
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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 ...
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274 views

In OLS on a census, should statistical significance be ignored?

Let's say I'm trying to tell whether my company's sales have had a downward trend over the last 10 years. Let's also say I have available to me the last 10 years of quarterly sales. If I run a ...
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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 ...
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1answer
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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 ...
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SPSS GLMM Data Structure setup advice

I am running an analysis looking at individual voter turnout where it is a 1 for voting and 0 for not voting. I have some information on individuals including age, gender, and several years of past ...
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1answer
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Inferential statistics on census data when response rate low

I have read the comments about inferential statistics on census data. I am doing PhD and also facing the same problem with a little difference. I have collected census data from the population of ...
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Census data comparisons

What is the best way to compare population of children age 0-6 years old (head counts) across various regions? Population density (population per sq km) seems to make sense. A colleague mentioned ...
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1answer
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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 ...
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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 ...
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Avoiding the Generalized Variance Formula for the NYC Housing and Vacancy Survey

I am attempting to devise a replication-based survey design that closely replicates a taylor-series design used by the US Government publication - where I do not have access to all of the ...
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1answer
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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% ...
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Nonintegral (and not half-integral) median

I was recently looking at the National Survey of Family Growth (US Census Bureau) and noticed that the numbers on the median column were not whole numbers, but rather numbers like 5.1 and 4.6. (Not 5....
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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 ...
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1answer
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How is research based on the U.S. Census organized?

As I understand, most of the research is centralized through the U.S. Census Bureau. However, I couldn't find any overview of fields of research on their website. Is there any other institution or ...
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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 ...
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658 views

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 ...
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1answer
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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 ...
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Where can I find name data for US census years other than 1990?

After a little searching, I was able to find data from the 1990 US census on the frequency of male and female first names, and on surnames. That data is here. I'm not able to find similar data for any ...
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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 ...
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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 ...