Design a programmatic SEO page template that won't get flagged as thin or duplicate content at scale

Design a programmatic SEO page template for the data set below, built specifically to avoid the thin/duplicate-content trap that gets most programmatic page sets deindexed or filtered.

DATA SOURCE (what varies per page)
A database of 1,200 US cities with population, median rent, and average commute time.

EXAMPLE QUERY PATTERN THIS TARGETS
"cost of living in [city]" and "average rent in [city]"

HOW MANY PAGES THIS WOULD GENERATE
1,200 city pages

WHAT WE CAN GENUINELY SAY DIFFERENTLY PER PAGE
Population, median rent, average commute time, and a locally-sourced note on whether rent is rising or falling year over year, per city.

STEP 1 — TEMPLATE STRUCTURE
Design the page template as sections, marking each section as either dynamic (pulled directly from the data source and different per page) or static (identical boilerplate across every page). Be honest about the ratio: if the majority of visible content on the page is static boilerplate around a small dynamic data table, that page is a strong thin-content risk regardless of how many pages you generate, and say so explicitly rather than presenting the template as safe by default.

STEP 2 — UNIQUENESS FLOOR
Given the unique data points I listed, determine whether there's enough genuinely distinct information per page to justify a standalone indexable URL, or whether the actual unique content per page is closer to a single data point that would be better served by a filterable single page than thousands of near-duplicate ones. Name the minimum uniqueness bar you'd want before treating each page as worth indexing separately — for example, a page differing from its siblings only by a swapped city name in an otherwise identical paragraph does not meet that bar.

STEP 3 — TEMPLATE COPY
Write the actual static section copy (the parts that don't change per page), designed to still read naturally when the dynamic fields are swapped in — check it against at least two different plausible data values from your data source description to confirm it doesn't read awkwardly or generically for either.

STEP 4 — GUARDRAILS
Recommend a canonicalization or noindex threshold: at what point (too few unique data points, too small a difference between neighboring pages) should a page in this set be noindexed or merged rather than published, and how would you flag those programmatically rather than relying on manual review of thousands of pages.

OUTPUT FORMAT
1. Section-by-section template with dynamic/static labels and thin-content risk assessment.
2. Uniqueness floor recommendation.
3. Sample static copy with two data-value substitutions shown side by side.
4. Noindex/canonicalization guardrail rule.