Demog Writing Style

Writing Style (demog-writing-style)

A Demography paper must be readable by a demographer outside its component, formatted to the journal's loosely APA house style, and disciplined to the word and front-matter limits. This skill is about reaching population scientists and respecting the format — not about generating claims.

When to trigger

• Drafting the introduction, framing the contribution, or final polish
• Over the word cap and needing to cut without losing the argument
• Writing the <= 200-word abstract, 3-5 highlights, or selecting <= 5 keywords
• Aligning citations/headings/format to the journal's house style before submission

Reach population science

1. Front-load the contribution. By the end of the introduction the reader knows the population question, the data and method, the finding, and why it matters for demography broadly. Don't make a migration scholar dig for the "so what" in your fertility paper.
2. Define component-specific jargon on first use; a mortality reader should follow a family- demography paper. Spell out acronyms and data-source names.
3. Quantity-first prose. Lead with the demographic quantity and its magnitude (a difference in e0, a parity-progression ratio, a net flow), then interpret it. Avoid "the model shows…" without saying what changed and by how much.
4. Signpost. Clear section structure so a reader can follow data -> method -> result -> meaning.

Format to the house style

• References: loosely APA (author-date); keep one consistent style (manage with Zotero/BibTeX). Articles recommend <= 75 references; Notes/Commentaries <= 15. References excluded from the word count.
• Front matter: abstract <= 200 words; up to 5 keywords/phrases; 3-5 highlights, each a complete sentence <= 85 characters including spaces.
• Spelling: Merriam-Webster conventions.
• Anonymize: review is double-blind — avoid self-identifying references ("as we showed in…") and strip identifying file metadata (see demog-submission).

Fit the limits (main-text counts exclude abstract, keywords, footnotes, acknowledgments, references)

• Move full life tables, sensitivity grids, and extended results to the online appendix.
• Cut throat-clearing and literature dumps; engage the demographic conversation, not every paper (see demog-literature-positioning).
• Prefer one decisive figure (a Lexis surface, an age schedule) to three redundant tables.
• Keep within the table/figure limit (~8 for Articles, 4 for Notes — see demog-tables-figures).

Anti-patterns

• A component-insider intro that never states general interest to demographers
• Burying the contribution in the middle of the paper
• An abstract over 200 words, or highlights that exceed 85 characters
• Mixed citation styles; self-references that break double-blind anonymity
• Padding a Research Note toward Article length

Calibration anchor: write the population process, not the association

Demography, the open-access flagship of the Population Association of America at Duke University Press, reads as population science when the prose names a process — fertility, mortality, migration, family formation, or compositional change — and the quantity that measures it. Two illustrative rewrites (language invented to show the move):

The left column could appear in any health or labor journal; the right column states the demographic quantity, the population, and the age/period logic a demographer expects.

Referee-pushback patterns and the writing fix

• "This reads like an epidemiology paper that happens to use population data." -> Lead the abstract and intro with the population question and the demographic quantity, not the regression coefficient.
• "A migration scholar could not follow the fertility argument." -> Define component-specific terms (parity progression, ASFR, tempo/quantum) on first use; spell out every data-source acronym.
• "The contribution to population science is stated only in the conclusion." -> Move the "so what for demography" sentence into the first paragraph; a Demography reader should not have to dig for it.
• "You report stars but never the magnitude." -> Lead with the demographic quantity and its size, then interpret it.

Output format

【Contribution stated by end of intro?】[Y/N]
【Reads past the component?】jargon defined / acronyms + data sources spelled? [Y/N]
【Abstract】word count (<= 200); 【Highlights】3-5, each <= 85 chars?
【Keywords】<= 5?
【Word count】Article <= 8,000 / Note <= 4,000 / Commentary <= 2,000 (main text)?
【House style + anonymized】loosely APA + no self-ID refs? [Y/N]
【Next】demog-data-and-reproducibility

Supplementary resources

• ../../resources/official-source-map.md — word/abstract caps, highlights, keywords, house style, double-blind anonymity