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
-
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.
-
Define component-specific jargon on first use; a mortality reader should follow a family-
demography paper. Spell out acronyms and data-source names.
-
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.
-
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):
| Drafted as a generic association |
Rewritten as a population process |
| "Education is associated with lower mortality (HR 0.78)." |
"Among women aged 50-69, the college-educated face ~22% lower age-specific death rates, widening the e0 gap by ~2.1 years (illustrative)." |
| "Migrants have higher fertility." |
"Newly arrived migrants show elevated period TFR, but a tempo correction suggests catch-up timing, not higher quantum (illustrative)." |
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
