Primary Evidence
Direct RMBI scores derived from qualifying datasets or studies analyzed within the source framework.
Explore the datasets, published studies, evidence grades, proxies, and methodological rules underlying the Religious Member Benefit Index.

RMBI keeps evidence strength visible. Direct evidence, published comparative evidence, documented proxies, and missing evidence are treated differently.
Direct RMBI scores derived from qualifying datasets or studies analyzed within the source framework.
Published comparative research directly supporting a group or category value, transformed to the RMBI scale when needed.
Broad-family, constituent-denomination, or benchmark evidence used only when direct evidence is unavailable and the crosswalk is documented.
If no defensible observation exists, RMBI records N/A. Missing evidence is not converted to zero or filled with a neutral value.
The RMBI evidence base includes 13 research study/data families: 6 core scoring studies and 7 supporting research families. The 2020 U.S. Religion Census is shown separately as an administrative dataset used for Institutional Reach and population/rollup checks. The current public comparison focuses on Christian communities and the religiously unaffiliated.
Nationally representative religious-landscape survey used directly in RMBI scoring across multiple dimensions.
Updated nationally representative religious-landscape evidence used directly in RMBI scoring and comparison.
National youth study used directly for verified youth-outcome and related category evidence within the final scoring framework.
Large national survey used directly for Religious Engagement measures, including religion importance, attendance, and prayer.
Household giving study used directly for religious giving, total charitable giving, and giving relative to household income.
Panel Study of Income Dynamics research used in the documented charitable-giving treatment for the religiously unaffiliated.
Congregation-level evidence used to triangulate the availability and structure of member resources across religious communities.
National congregational research used as supporting evidence when evaluating member-access resources and institutional offerings.
Published Pew research on congregational services and support used to corroborate the Member Resources framework.
Large Latter-day Saint study used to corroborate patterns in charitable giving, volunteering, and service.
Religion-specific youth research used as corroborating evidence for youth outcomes. Multiple SHARP papers are treated as one study family.
Supporting evidence used to evaluate volunteering and civic-life outcomes among religiously unaffiliated Americans.
GSS-based published research used as corroborating evidence for charitable behavior, volunteering, and religious disaffiliation.
Census-style adherent and congregation data used for Institutional Reach and for population/rollup checks. It is not counted among the 13 research study/data families.
The Research page documents the source evidence; Methodology explains how those sources are standardized and combined.
RMBI is designed so a reader can move backward from a result and understand how that result was constructed.
Start with the overall or dimension-level result.
Identify the dimension and the qualifying study or source composite contributing to the result.
Trace standardized variables back to the observed percentage, dollar, rate, census measure, or documented coding input.
Interpret the result alongside evidence grade, missing-data treatment, and the methodological limits of comparative research.
An A-grade result and a documented proxy should not be interpreted as equally strong evidence. RMBI keeps evidence strength visible so users can separate direct comparisons from crosswalks or aggregated proxy evidence. Unsupported missing observations are reported as N/A rather than imputed.
Likewise, comparative outcomes do not by themselves establish that religion caused the observed difference. Demographics, selection, geography, socioeconomic conditions, and other factors can contribute to measured differences between communities.
Move from the source framework into the final RMBI rankings and dimension-level comparisons.
EXPLORE THE RESULTS