Long-distance relationship statistics: read the breakup measure

Read a four-month long-distance breakup comparison with its sample and limits. Use the source-reading table to check a relationship success claim.

In a study published in 2013, 20.4% of long-distance participants reported a breakup over about four months. For nearby participants, the figure was 23.0%. The U.S. sample covered unmarried adults ages 18 to 35. They were in opposite-sex relationships and lived apart. This cannot establish a current or lifetime success rate.

Read what marriage-duration figures count
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Who got counted in the comparison

Kelmer and colleagues began with 870 participants. Each had been in a relationship for at least two months and did not live with their partner. The researchers defined long distance as more than 50 miles between homes.

About four months later, 763 participants returned the survey. The breakup percentages describe those 763 respondents, grouped by the distance between their homes at the first survey. The researchers found no statistically clear difference between the groups. That does not prove equal outcomes. The American Statistical Association’s guidance says conclusions need more than whether a statistical test passes a threshold.

Use a source-reading table for any success claim

Before applying a percentage to your relationship, check what the source calls success. Is it still being together at a later survey, getting married, or a respondent saying it worked out? Keep that definition attached to the number.

Then check who entered the survey and when the outcome was measured. Following relationships already underway cannot show how many new relationships end before they would qualify for the survey. Ask which question you want the statistic to answer.

Read the denominator and the endpoint

The table may be wider than the screen. Focus it and use the arrow keys to reach every column.

A reading aid for the Kelmer study, published in Family Process in 2013. Each row states the limit needed when using its breakup percentages.
What to checkWhat this study usedQuestion it leaves open
PeopleUnmarried adults ages 18 to 35 in opposite-sex relationships, living apartDoes the source cover people like those in your question?
Starting pointRelationships already lasting at least two monthsWhat happened before the survey began?
DistanceMore than 50 miles at the initial surveyDid partners remain distant?
OutcomeReported breakup over about four monthsWhat happened after follow-up?
Follow-up763 of 870 participants respondedWhat happened to those who did not respond?

How to use the table Keep the population and follow-up period beside a percentage. The table cannot predict an individual relationship.

How to read it: Source: Kelmer et al., original paper methods and results. Group percentages are reported in the opening. The table is a Research Desk reading aid; it adds no new survey results.

Download the table (CSV) ↓

Why 79.6% still together is a limited answer

By Research Desk arithmetic on the published long-distance breakup percentage, 100% minus 20.4% equals 79.6%. That is the share still in the same relationship at follow-up, using the study’s rounded percentage. It describes the long-distance respondents who answered at that point.

Calling that figure a general success rate would leave the outcome undefined. Continued dating for four months, eventual marriage, and a satisfying relationship years later are different questions. This breakup comparison measured whether the original relationship was still intact at follow-up. It did not measure those later outcomes.

The study also began with relationships already in progress. Participants had to have been together for at least two months to qualify. The result therefore cannot describe every relationship from its first day, including those that ended before they could enter the sample.

What this comparison leaves unknown

The paper did not record distance at breakup or how often partners visited. Some initially distant partners may have moved closer before follow-up. The results describe a short period in an older study; they cannot tell you what will happen to your relationship.

A page with a current year in its title can cite older research. Look for the paper, its publication date and the survey period separately. If a source does not disclose a fieldwork date, keep that date unknown.

Choose the measure that matches your question

If you are checking a headline, use the table to write down its population, outcome and time period. If those details are missing, avoid treating the percentage as a personal forecast. Keep unanswered questions visible instead of filling them with a reassuring number.

For a question about marriage, read the U.S. marriage measures or marriage duration and survival figures. Those sources address other groups and outcomes. You can use a statistic to understand a study while keeping decisions about your own relationship with the people involved.

Common questions

Does the study give a long-distance relationship success rate?

It measures reported breakups over about four months among respondents from a selected group of ongoing relationships. It does not establish a lifetime success rate or a current rate for all U.S. couples.

Does living more than 50 miles apart prove a relationship will fail?

No. That distance was the study classification. The observational comparison cannot determine what distance causes or predict one couple’s outcome.

Sources (3)

We read the publisher abstract and original paper methods, results and limits on October 10, 2026. We also read the American Statistical Association’s interpretation guidance. We reproduce published percentages and do not analyze individual records. This is a focused reading of one historical study, not a complete review of long-distance research. We did not interview couples or test relationship advice. The image is illustrative.

  1. Kelmer, Rhoades, Stanley and Markman / Family Process

    Relationship Quality, Commitment, and Stability in Long-Distance Relationships

    Published in Family Process in 2013; first published online in 2012. The abstract gives the comparison and broad finding. Publication dates do not establish fieldwork dates.

    Checked October 10, 2026
  2. Kelmer and colleagues / Family Process; copy hosted by EurekaMag

    Original paper, full-text copy

    Same paper, not an independent study. Methods and results give eligibility, distance definition, follow-up responses and breakup percentages. Discussion gives missing distance-at-breakup and visit-frequency data.

    Checked October 10, 2026
  3. American Statistical Association

    Statement on statistical significance and p-values: official overview

    March 7, 2016 overview lists six interpretation principles. A statistical test does not give the probability that a hypothesis is true. Conclusions need the study context, not only a threshold. This is statistical guidance, not another relationship study.

    Checked October 10, 2026

About Nora Hale

Nora Hale writes about looking for love today, from choosing a dating app to wondering why dating feels so hard. She uses research to answer the questions people ask along the way.

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