City managers can apply this rubric to any:
Policy
Budget decision
Capital project
Program launch
Performance dashboard
Communications strategy
Step 1: Who Benefits? Who Might Be Burdened?
Groups to consider (adapt as locally relevant):
Income level
Race/ethnicity
Age
Disability
Language access
Gender
Geography (neighborhood)
Digital access
Immigration status
Housing status
Research shows equity tools often default to “low-hanging fruit” individual changes (e.g., better translation, outreach)
Type of Action
Ask:
Are we only addressing surface-level barriers?
Is there a structural lever within our control?
Use this matrix:
“What we fund reflects what we value.”
Ask:
Does budget distribution align with community need?
Are high-need neighborhoods receiving proportional investment?
Are capital improvements equitably distributed?
Equitable decisions require equitable engagement.
Ask:
Did we collect input from underrepresented communities?
Was engagement accessible (language, time, childcare, location)?
Are we relying only on digital feedback tools?
Equity Scoring Snapshot (Optional)
Score each domain 1–3:
1 = Not addressed
2 = Partially considered
3 = Fully integrated
Total Score:
4–6 → Minimal equity integration
7–9 → Emerging integration
10–12 → Strong equity-centered design
TOOL 2: Metrics Disaggregation Guide (Making Equity Visible in Data)
Disaggregation reveals disparities hidden in averages.
Instead of:
“Response time improved.”
Ask:
Improved for whom?
What to Disaggregate (Start Small)
Prioritize high-impact metrics:
311 response time
Code enforcement timelines
Permit approvals
Park access
Capital investment
Public safety calls
Program participation
Grant awards
Basic Disaggregation Categories
Even small jurisdictions can disaggregate by:
Neighborhood / ZIP code
Census tract
Income tier
Race/ethnicity (if available)
Age
Language access
Disability status (if available)
If full demographic data is unavailable:
Start with geographic proxy indicators (e.g., high-poverty census tracts).
Simple Disaggregation Table Example
Interpreting Gaps
When disparities appear:
Ask:
Is this statistically meaningful?
Is this persistent over time?
Does this reflect resource allocation?
What policy lever can address this?
Implementation Tip for Smaller Jurisdictions
You do not need:
Advanced analytics software
A Chief Equity Officer
A large research team
You need:
Leadership commitment
One or two priority metrics
A repeatable rubric
Transparent reporting
Equity becomes culture when:
It is measured
It is discussed
It influences resource allocation