Every county in California, Oregon and Washington is compared with its nearest neighbor or any county you choose, on 117 county-level indicators drawn from public data, scored with the iRISE™ algorithm, and rendered into grant, board and policy reports you can print or cite.
Pick one county for a single-region analysis or up to four to compare. Choose grant, board or policy framing, narrow the indicators, weight the eight domains, and generate a printable report with every source cited.
Name a problem, map the intersections and the population at their center, weight the burdens, and forge pathways at the individual, organizational and structural levels — grounded in the same county data.
Color all 133 counties by any indicator or set of indicators, click to compare, or search any county by name for its full profile with rank, band and national percentile on every measure.
County Health Rankings & Roadmaps 2025 release (University of Wisconsin Population Health Institute), CDC PLACES 2025 release (BRFSS 2022–2023), and Census SAIPE and SAHIE via those compilations, for all 133 counties. Live feeds from the Census Bureau and CDC refresh values in your browser. State data catalogs (CalHHS, data.oregon.gov, data.wa.gov) are queried live on the Citations page. Full inventory and APA references on the Citations page.
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Intersectional Resilience Index for Social Equity · Prevention at the Intersections · iRISE Data
Use the Report Builder for one county on its own or for comparisons between counties. Check one county for a single-region analysis; check more to compare them side by side. The report renders immediately from the embedded dataset, then refreshes any indicator a live federal feed returns within twelve seconds. Every report leads with how it was completed, shows county comparison tables and charts, and marks each field that needs action from the organization, an individual, or the community.
How to weight: every domain starts at 50, meaning it is present in this problem at an ordinary level. Move a slider up when that domain drives the problem — 75 for a major driver, 100 for the defining one. Move it down when it matters less — 25 for a minor factor, 0 to leave it out. Domains at 50 or above count toward the κ compounding factor. If you are unsure, leave it at 50.
California: 40 Senate and 80 Assembly districts. Oregon: 30 Senate and 60 House districts. Washington: 49 legislative districts. A county-to-district crosswalk is not yet embedded for the West Coast, so select the counties your district covers (use the official district lookup for your state) and the Atlas builds the district report from those counties.
Locate a problem in California, Oregon or Washington, map the intersections and the populations at their center, weight the eight domains on the iRISE™ 0–100 scale, and submit. The Forge returns solutions at the individual, organizational and structural levels, each described and cited to evidence-based sources, and closes with every citation that shaped it. Everything runs in your browser; nothing is sent anywhere.
Who carries this burden where systems overlap? Name the intersecting identity axes, then the experiences at the intersections.
How to weight: every domain starts at 50. Move a slider up when that domain drives the problem — 75 for a major driver, 100 for the defining one; down when it matters less. Domains at 50 or above count toward the κ compounding factor. At 75 or above a structural solution is required. κ = 1 + 0.12 × (domains at 50 or above − 1).
All 133 counties colored by burden level on the indicators you choose, from the same embedded dataset and live feeds the Report Builder uses. Each county is drawn at its population centroid, sized by population. Hover for the county name and value; click up to three counties to compare them side by side and build a report from the selection.
Every county, sortable by any column. Click a heading to sort; the band column matches the map colors.
Search from any page, or browse by state. The number beside each county is its iRISE™ composite on the within-state scale (0–100, higher is stronger). Open any county for its full profile: every indicator with its value, within-state rank and band, national percentile, and source.
Each indicator in the Atlas is one of two kinds. An embedded value was obtained from the publisher’s release and stored in the Atlas for all 133 counties; its vintage is printed in every report and on every county profile: County Health Rankings & Roadmaps 2025 release (which compiles NCHS mortality and natality files, Census SAIPE and SAHIE, the American Community Survey, BLS, EPA, HUD, CMS, NCES and others for every U.S. county) and CDC PLACES 2025 release (BRFSS 2022–2023 model-based county estimates). A live value is retrieved in your browser from the publishing agency’s open API at the moment a report is generated and is marked LIVE. If a feed does not respond within twelve seconds, the embedded value stands and the report says which feeds did and did not respond. Ranks and scores are always computed from the embedded release so they stay reproducible.
Every scored indicator is ranked among the counties of its state, taking direction into account, so rank 1 is always the heaviest burden — whether that means the highest overdose rate or the lowest median income. Ranks fall into five bands: heaviest (top 20%), heavy, moderate, lighter, lightest. Each value also carries a national percentile from the same indicator ranked across all U.S. counties in the release, so a county can be read on both the within-state scale (for legislatures and state agencies) and the national scale (for federal funders and multistate systems).
Indicator ranks aggregate into clusters, clusters into eight equity domains scored 0–100 where higher is stronger, and domains into the composite iRISE™ index. A domain score is the county’s mean within-state rank position across the scored indicators in that domain. The state reference for each state is the median of its counties. Demographic context measures are embedded for reference and never scored.
When you weight the domains in the Report Builder or the Forge, every domain at 50 or above counts as heavy and κ = 1 + 0.12 × (heavy domains − 1). A problem heavy in three domains carries κ = 1.24; in four, κ = 1.36. Burdens compound; they do not add — the difference between iRISE™ and a linear index.
Every report compares the county with one other county rather than a statewide median: by default the nearest county by centroid distance (a road-distance crosswalk is on the roadmap for the West Coast), or any county you choose. The gap on each domain is shown to scale, and the widest gap is the report’s lead finding. State median values are shown alongside for reference.
When a publisher withholds a value because the count is too small, the Atlas shows it as SUPPRESSED. It is never shown as zero, and it is never estimated. Where the publisher flags a value as unreliable (small numerator), the Atlas keeps the value and marks it UNRELIABLE. Measures that the BRFSS social-determinants module collected in California but not in Oregon or Washington are embedded for California and shown as not collected elsewhere.
It will not invent testimony, budgets, partners or within-county subgroup rates. Every such field in a report is marked with who must act: Action required — Organization, Action required — Individual, or Action required — Community.
Every source the Atlas draws on, generated from the indicator registry embedded in this file so the list cannot drift from the data.
On page load the Atlas queries each state open-data catalog’s public API and reports the datasets it finds. These state sources are the Contributor pathway that upgrades federal proxies toward county parity for youth mental health, overdose surveillance, child welfare and environmental exposures.
Terms used across the Report Builder, Solution Forge and County Map.
County-level equity data for California, Oregon and Washington — all 133 counties — and the first multistate deployment of the national iRISE™ platform.
iRISE™ began with a dream of solutions that solve real problems for people — help that matches lived hardship rather than form categories. Much suffering is preventable, but data looks at one category of existence at a time while people carry several. iRISE™ shows how experiences overlap in a place so communities and institutions can remove preventable hardship.
Dr. Crystallee Crain is the founder of iRISE Data and the creator of the iRISE™ algorithm — the Intersectional Resilience Index for Social Equity — a measurement framework built on the premise that communities should have access to the data used to describe their reality.
Through her research and consulting practice, Prevention at the Intersections, she has spent more than fifteen years working at the intersection of violence prevention, public health, participatory research and community power building. She built the Michigan Prevention Data Atlas, the open access platform for the national iRISE site. She is also an author, poet, and visual artist.
Professional website ↗ · Prevention at the Intersections ↗ · iRISE Data ↗
Book a consultation with Dr. Crain
Contact: irisedata@gmail.com