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Similarities and Differences Between the 2020 Demographic Analysis and Post-Enumeration Survey
Similarities and Differences Between the 2020 Demographic Analysis and Post-Enumeration Survey
Population Universe
Population universe refers to what population groups are included.
Demographic Analysis
Everyone living in the country (resident population).
Post-Enumeration Survey
Household population excluding Remote Alaska areas (and, by definition, excluding group quarters).
Geographic Level
The type of geographies available.
Demographic Analysis
National.
Post-Enumeration Survey
National and state (state and Puerto Rico results scheduled for summer 2022).
Demographic Characteristics
The characteristics available.
Demographic Analysis
Age: Single year of age and age groups.
Sex: Male and female.
Race:
- Black.
- Non-Black.
- Black alone or in combination.
- Non-Black alone or in combination.
Hispanic origin: For the population ages 0 to 29.
Tenure: Not available.
Post-Enumeration Survey
Age: Age groups.
Sex: Male and female.
Race (alone or in combination): All census categories.
Hispanic origin: For all ages combined.
Tenure: Owner and renter.
Operational Variables
The type of information available by 2020 Census operations used to count the population.
Demographic Analysis
Not applicable.
Post-Enumeration Survey
Percentage of components of coverage by various census operations (scheduled for summer 2022).
Housing Unit Coverage
Information that shows how well housing units were counted in the census.
Demographic Analysis
None.
Post-Enumeration Survey
Percentage of net coverage error and percentage of components of coverage, broken down by housing unit characteristics (scheduled for summer 2022).
Uncertainty Measures
As a statistical agency, we’re transparent about the uncertainty in the data we produce — even measures that evaluate other statistics.
Demographic Analysis
Range of estimates — Low, middle and high.
This range accounts for uncertainty in the input data and methods used to produce Demographic Analysis estimates. For example, the range reflects varying assumptions about international migration.
Post-Enumeration Survey
Standard errors.
These reflect errors related to sampling. Surveys are also subject to nonsampling error, which is difficult to quantify.
Data Sources
The information used to produce the measures.
Demographic Analysis
Vital records, American Community Survey data, and Medicare enrollment records.
Post-Enumeration Survey
Survey with address listing, enumeration and matching operations conducted independently of the census after the census data collection.
Coverage Measures
The measures that estimate how well the census counted the population.
Demographic Analysis
Net coverage error.
Post-Enumeration Survey
Net coverage error.
Components of coverage:
- Correct enumerations.
- Erroneous enumerations.
- Whole-person imputations.
- Omissions.
Methodology
The type of statistical method used.
Demographic Analysis
Basic demographic accounting equation of population components of change (ages 0-74) and Medicare enrollment method (age 75 and older).
Post-Enumeration Survey
Dual-system estimation: The survey independently interviews people and then matches that information to the census results.
Disclosure Protections
The techniques used to fulfill our legal responsibility to protect the confidentiality of individual responses.
Demographic Analysis
Noise injected into census counts and rounding.
Post-Enumeration Survey
Rounding, aggregation, synthetic estimation (estimates based on statistical models), and suppression of most census totals.
For More Information
Page Last Revised - March 2, 2022
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