jared
4fb5c488f8
R-CMD-check / R CMD check (pull_request) Successful in 4m27s
The title-page kicker in the Typst and LaTeX templates was hardcoded to "Civilytics Research", which is not a real entity — the company is Civilytics Consulting. Fix the kicker in both templates, and update the example report/slides that echoed the same non-real name. Bump to 0.3.1.
83 lines
2.5 KiB
Plaintext
83 lines
2.5 KiB
Plaintext
---
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title: "Who pays when rent outpaces wages?"
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subtitle: "A 12-county analysis of cost-burdened renter households, 2019–2024."
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author:
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- name: "Jared Knowles"
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affiliation: "Civilytics Consulting"
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date: "2026-04-15"
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abstract: |
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We combine ACS 5-year microdata with HUD Fair Market Rent estimates
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to track changes in rent burden across 12 metropolitan counties.
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Between 2019 and 2024, the share of renter households spending more
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than 30% of income on housing rose by 6.4 percentage points; the
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increase was concentrated in counties where median wages stagnated.
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categories: [Housing, Affordability, ACS]
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format:
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html:
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theme: ../theme/civilytics.scss
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css: ../theme/extras.css
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toc: true
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toc-location: right
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typst:
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template-partials:
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- ../typst/typst-template.typ
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- ../typst/typst-show.typ
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pdf:
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include-in-header: ../latex/civilytics.tex
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include-before-body: ../latex/civilytics-title.tex
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execute:
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echo: false
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warning: false
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---
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## Findings at a glance
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::: {.stat-callout}
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::: {}
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[6.4 pp]{.stat-num}
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[Increase in rent-burdened share, 2019→2024]{.stat-label .accent}
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:::
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::: {}
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[1 in 2]{.stat-num}
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[Renters in the studied counties now cost-burdened]{.stat-label}
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:::
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::: {}
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[$412]{.stat-num}
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[Median monthly rent gap, lowest-wage quintile]{.stat-label}
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:::
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:::
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[Methodology note]{.eyebrow}
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## Background
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Rent has outpaced wages in every county we studied. In some, the gap is
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modest and recent; in others, it has been widening for a decade. This
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report disaggregates the trend along three lines: county, income
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quintile, and household composition.
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```{r}
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#| label: fig-trend
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#| fig-cap: "Cost-burdened renter share, 12 metro counties, 2019–2024."
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#| fig-width: 7
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#| fig-height: 4.2
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library(ggplot2); library(civilytics)
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ggplot(economics, aes(date, unemploy / pop)) +
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geom_line(color = "#C25311", linewidth = 1) +
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labs(title = "Cost-burdened renter share, 2019–2024",
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subtitle = "Share spending more than 30% of household income on rent",
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x = NULL, y = NULL,
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caption = "Source: ACS 5-yr microdata; Civilytics analysis.") +
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scale_y_continuous(labels = scales::percent_format()) +
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theme_civilytics()
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```
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> Across all 12 counties, the steepest increases came in places where
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> median wages were already in the bottom quartile of the metro region.
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## Recommendations
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1. Targeted rental assistance keyed to local wage trajectories.
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2. Quarterly publication of rent-burden indicators by county.
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3. Coordinated reporting between HUD and county human-services offices.
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