docs(news): per-year population denominators (unreleased)

Summarizes the per-capita and peer-cohort behavior changes for users
upgrading from earlier 0.1 snapshots.
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2026-04-29 19:09:00 -04:00
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# uscogdata 0.1.0 (development)
## Per-capita denominators now use per-year Census F-33 population
* `cog_spending()` and `cog_revenue()` previously divided all years' amounts
by a single ACS 2018-2022 estimate (`canonical_fips_xwalk.population_acs`),
producing biased per-capita values for time-series analysis. They now
divide by the F-33 `population` recorded on each gov-year via the new
`gov_population_yearly` view. Result tibbles gain a `pop_source` column
with values `"census_f33"` or `"unavailable"`. `notes` is updated to
concatenate multiple notes with `"; "`.
## Peer cohorts can be set to a chosen year
* `cog_find_peers()` adds a `year` argument (default: most recent year for
which the target has an observed population in `gov_population_yearly`).
The returned column previously named `population_acs` is now `population`
and reflects the cohort year's vintage. The cohort year is attached to the
returned tibble as `attr(x, "cohort_year")`.
* `cog_peer_compare()` now stamps a `cohort_year` column on its result (read
from the peers tibble's attribute) and records `cohort_year` plus
`cohort_govids` in provenance. When the caller supplies a bare character
vector instead of a `cog_find_peers()` result, `cohort_year` is `NA`.
## Rollups exclude govs missing population
* `cog_geographic_rollup(per_capita = TRUE)` drops rows whose government has
`pop_source == "unavailable"` and records the dropped govids in
`provenance$rollup$excluded_govids`. This excludes special districts
(type 4) and school districts (type 5) from per-capita rollups by design.
## New: vignette and provenance metadata
* New vignette `population-denominators` covers the four population sources,
the type-4/5 coverage gap, the popyear quirk, and how to build moving-window
peer cohorts manually.
* Provenance gains `transformations$per_capita$popyear_range` and
`pop_source_counts`. `cog_explain()` renders both.
## New features
* `cog_gov_search()` gains a **basket mode**: passing vector `name`