Survey variables and categories come from ANES study metadata, not Census substitutes.
American Foundation for Democratic Stability
Public Opinion Observatory
Public conditions • political context • surveyed opinion • transparent methodology
Observatory Engine v0.12.4
PlatformAFDES Observatory
Data familyAwaiting selection
SourceANES 2024
ReleaseLoading…
The ANES study is loaded. Select a research variable and response category to begin.
United States
Select a research variable
U.S. geography is ready. Choose a variable and response category to begin.
Map geography
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Loading U.S. geography…
Selected geography
Darker shading = higher value for the selected indicator. Gold = selected geography.
Research snapshot
Research result at a glance
Usable geographies
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Median
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Middle geography
Observed range
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Minimum → maximum
Measurement family
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AFDES Data Integrity
Every mapped value retains its source, period, geography and measurement type. Statistical conditions and surveyed opinions are never silently mixed.
AFDES ANALYSIS LAB
Analyze public opinion and political data.
Choose a place, choose an analysis, then choose your variables. AFDES applies the appropriate statistical method from the ANES SPSS metadata.
United States · ANES respondents
1Choose place
2Choose analysis
3Choose variables
4Read result
Dataset
ANES 2024 Time Series
SPSS categories · released May 19, 2026
Unit of analysis
Respondents
Weighted national respondent sample.
Weight
Automatic ANES weight
PRE/POST respondent weight follows the selected variables.
Distribution analysis
Frequencies
Select one SPSS variable to inspect its weighted category distribution and respondent counts. Optionally break the same variable down by a demographic or socioeconomic variable.
Choose a variable.
Valid respondents—Substantive responses
Missing / inapplicable—Preserved from SPSS codes
Weight—ANES survey weight
ScopeUnited StatesNational weighted sample
Frequency distribution
ANES 2024
American National Election Studies
Percentages are weighted. Counts are unweighted respondent counts. Missing, refused, don't know and inapplicable responses remain distinct in the source metadata and are excluded from substantive percentages unless explicitly analyzed.
Bivariate exploration
Crosstabs
Choose row and column variables to build an SPSS-style crosstab. AFDES also reports the association statistic appropriate to the ANES measurement metadata.
SPSS-style crosstabulation.
Cells show weighted row percentages and unweighted n. Binary × binary → Phi · ordered × ordered → Spearman ρ · nominal/categorical → Cramér's V.
Association is not causation. State-filtered results describe respondents in this ANES sample and are not presented as validated state-representative estimates.
Choose two variables.
Valid respondents—Complete paired cases
Statistic—SPSS measurement levels
Coefficient——
Strength—Descriptive magnitude
Weight—Wave-appropriate ANES weight
No crosstab analyzed yet
The engine will summarize the crosstab and association statistic here.
Swipe or scroll horizontally inside the table to see all categories.
Multivariable exploration
Correlations
Build an SPSS-style correlation matrix using two to four ANES research variables. The same selected variables appear across the columns and down the rows, with the coefficient, two-tailed significance field, and paired N shown in the matrix.
Default method
Spearman's ρ is the safer default for ordered public-opinion measures. Pearson is available when you intentionally want a linear correlation of the ANES numeric codes. Nominal variables are allowed only with an interpretation warning.
Choose at least two variables.
Variables—Unique variables in matrix
Paired n range—Varies by pair because of missing data
ScopeUnited StatesCurrent geography filter
Weight—Wave-appropriate ANES weight
Correlation matrix
Select at least two variables and build the table.
Swipe or scroll horizontally inside the matrix to see all selected variables. Row labels remain pinned.
ANES weights remain attached. Because this Observatory does not model the full complex survey design for inferential testing, weighted correlation matrices suppress two-tailed p-values rather than present false precision. Correlation does not establish causation.
The ANES pre/post weight appropriate to the selected variables is used automatically.
Correlation and association provide empirical evidence for exploration and hypotheses, not proof of causation.
State FIPS filters respondents descriptively; restricted county survey geography is never fabricated.
SURVEY VARIABLE REGISTRY Political attitudes, efficacy and respondent dimensions. Browse ANES 2024 SPSS variables, categories, missing-value meanings and respondent dimensions. ANES 2024 · SPSS ACTIVE
Demographic variables
Age, sex, race/ethnicity, education and income can be used to compare survey groups.
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Active instrument
Survey Lab
Weighted frequencies · crosstabs · valid/unweighted N · missingness · confidence intervals · question wording · wave/sample metadata · demographic subgroup comparisons.
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BLS LAUS
Labor conditions
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Conditions + political demography
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Participation + election administration
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Certified federal election outcomes
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ANES 2024
Variables + categories + weighted respondent analysis