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A migration statistic is reliable only when you can state exactly who was counted, what was measured, where, and when—and identify the organization that produced the figure. Start by preserving the claim as published, then trace it to the responsible dataset, read its definitions and methods, and compare it only with figures built on the same basis.
This approach prevents the most common errors: treating a resident population as an annual arrival count, calling asylum applicants refugees, or selecting the largest number when sources use different dates and definitions.
What a migration statistic must tell you
Before judging whether a number is credible, turn it into a precise statement. A complete claim identifies five elements:
- Population: the people included, such as international migrants, foreign-born residents, foreign citizens, workers, asylum applicants, recognized refugees, or internally displaced people.
- Measure: a stock, a flow, an application, a decision, a rate, a share, or an estimate of displacement.
- Geography: the country, territory, region, origin, destination, and any inclusions or exclusions.
- Reference date or period: a census date, mid-year estimate, calendar year, quarter, or multi-year interval.
- Method and vintage: the collection system, assumptions, model, revision status, and edition of the dataset.
If one of these is missing, the claim is incomplete rather than automatically false. UN DESA explains that uncertainty about who should be considered an international migrant and how migration should be measured creates gaps and discrepancies between statistics. Its June 2025 article, Reliable data on international migration matter more than ever, says reliable data are needed to assess trends, set policy priorities, make informed decisions, support evidence-based discussion, and counter misleading narratives.
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Quote the claim before checking it
Copy the original wording and number into your notes. Mark whether it describes a level (“there are”), a change (“increased by”), a rate (“per 100,000”), a share (“percent of”), or a comparison (“more than”). Keep qualifiers such as “around,” “estimated,” “by mid-year,” and “in the past 12 months.” Removing those words can make a cautious estimate look like a precise count.
Stock is not flow
The single most frequent mistake is comparing a stock with a flow. A stock is the number of people in a population at a reference date. A flow measures movements into, out of, or within a place during a period. A stock can include people who arrived many years earlier; an annual flow records events during one year and may count the same person in more than one movement category.
| Measure | What it describes | Typical wording | What it does not mean |
|---|---|---|---|
| Migrant stock | People residing in a place at a stated date | “International migrant stock at mid-2024” | Everyone who arrived during 2024 |
| Migration flow | Movements or entries and exits during a stated period | “Long-term immigration during 2024” | The total migrant population living there |
| Asylum application | A request for international protection lodged during a period | “Applications registered in 2024” | A count of people granted refugee status |
| Refugee population | People recognized or otherwise covered by the relevant refugee definition at a stated date | “Refugees hosted at year-end” | All migrants or all asylum applicants |
| Displacement estimate | People displaced under the publisher’s specified definition | “Internally displaced people in 2024” | International migrants who crossed a border |
The UK Office for National Statistics (ONS) explicitly warns that its long-term international migration estimates describe flows, while census results provide a snapshot of stock. A headline that places those two figures side by side without explaining the distinction is not a like-for-like comparison.
Do not use migration categories as synonyms
“Migrant” is a broad statistical label, not a synonym for every person who has moved or sought protection. A dataset may define an international migrant by birthplace, citizenship, or duration of residence. Those choices produce different totals:
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- Foreign-born residents are people born outside the reporting country, regardless of current citizenship.
- Foreign citizens hold another country’s nationality; naturalized residents may therefore be excluded even if they were born abroad.
- International migrants may be defined by a change of usual residence for a specified duration, depending on the dataset.
- Asylum applicants have submitted a protection claim. An application is a process measure, not an outcome.
- Refugees are a specific protection category recorded under the responsible statistical system.
- Internally displaced people have been displaced within their own country and are not, by that fact alone, international migrants.
The United Nations Statistics Division (UNSD) describes separate roles for these measures: UNHCR compiles statistics on asylum applications, refugee-status determinations, refugee populations, and related movements; UN DESA prepares international migrant-stock estimates; the International Labour Organization compiles international labour-migration statistics; and the International Organization for Migration (IOM) covers subjects including internal displacement and missing migrants. Use the category that matches the claim rather than substituting a more familiar term.
A repeatable eight-step claim check
- Preserve the exact claim. Record the quoted sentence, number, unit, graphic title, publisher, and publication date. Note whether the number is preliminary, revised, modeled, or rounded.
- Define who is counted. Write the population in plain language and in the source’s own terms. Ask whether it is based on birthplace, citizenship, usual residence, duration, legal status, or another rule. If the definition is absent, label that limitation.
- Identify the measure. Decide whether the statistic is a stock at a date, a flow over a period, an application, a decision, a rate, a share, or a displacement estimate. Do not compare different measures as though they were interchangeable.
- Fix the geography and time. Record the country or region, origin or destination, reference date or period, and any territorial coverage. “Worldwide,” “in Europe,” and “in a country” can conceal different boundaries.
- Find the responsible publisher. Follow a citation or chart back to the original statistical release, database, or methodology. For global migrant-stock comparisons, begin with UN DESA’s International Migrant Stock 2024. For a national estimate, inspect that country’s statistical office. For asylum and refugee figures, use the specific UNHCR measure described through UNSD.
- Read the metadata. Check collection methods, coverage, imputation, modeling assumptions, confidentiality rules, known gaps, and revision policy. A headline number without its metadata is not enough to establish what it represents.
- Compare like with like. Align population definition, measure, geography, reference period, source method, edition, and level of completeness. If any axis differs, explain the difference instead of ranking one number as “the real one.”
- Write an attributed finding. Name the publisher and edition or year, retain the reference period, and state whether the result is an estimate, a direct count, or an administrative record. Include an uncertainty or coverage caveat when it changes interpretation.
Which source to use for which question
| Question | Best starting point | What to verify |
|---|---|---|
| How many international migrants live in each country or territory? | UN DESA Population Division, International Migrant Stock 2024 | Definition of migrant, destination and origin, reference year, edition, and whether the value is estimated |
| What are a country’s official migration stocks or flows? | The relevant national statistical office | National definitions, administrative and survey sources, revisions, and geographic coverage |
| How many asylum applications or refugees are recorded? | UNHCR statistics, using the measures identified by UNSD | Applications versus decisions, recognized status, reporting period, and population covered |
| What statistical standards and agency responsibilities apply? | UNSD’s International Migration resources | Concepts, classifications, collection guidance, and which agency owns the statistic |
| What are the strengths and weaknesses of migration data sources? | IOM’s Essentials of Migration Data | Source type, stock-versus-flow treatment, communication, privacy, and confidentiality |
| How can several incomplete sources be combined? | UNECE’s Guidance on Data Integration for Measuring Migration | Compatibility, linkage assumptions, coverage gaps, and disclosure risks |
Read the dataset’s edition and revision notes
Migration statistics are dated products. The UN DESA International Migrant Stock 2024 dataset covers 233 countries and areas for 1990–2024. UN DESA says it fully reassessed 60 countries and areas using new empirical information. For the remaining countries and areas, the 2024 edition extrapolated from the 2020 edition. That means two values with the same reference year can still differ because one comes from a newer edition or a revised method.
Record three dates separately: the reference date (when the population is measured), the publication date (when the table or release appeared), and the dataset edition (the methodological vintage). Do not call a revised estimate an error merely because an earlier release showed another value. State that the source was revised and identify which edition you used.
Understand modeled estimates
A modeled or extrapolated estimate can be the best available statistic while still carrying assumptions. The correct wording is “the dataset estimates” or “UN DESA reports,” not “the census counted,” unless the underlying source was a direct enumeration. Ask which countries received new empirical inputs, which relied on extrapolation, and whether the publisher reports uncertainty or known gaps.
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National methods can involve assumptions
ONS explains that timely long-term international migration estimates include assumptions about the likelihood that arrivals remain for 12 months or more. That is a methodological choice about duration, not evidence that every person entering the country stayed. When using a national flow estimate, read the rule for usual residence and the treatment of short stays, exits, and late data.
How to reconcile two numbers that disagree
Apparent conflicts usually become understandable after an alignment check. Put each figure into a comparison record before deciding that one is wrong.
| Comparison axis | Questions to ask |
|---|---|
| Population definition | Are both figures about international migrants, foreign-born residents, foreign citizens, workers, asylum applicants, refugees, or internally displaced people? |
| Measure | Is each a stock, flow, application, decision, rate, share, or model estimate? |
| Geography | Do the country boundaries, territories, origin and destination rules, and inclusions match? |
| Reference date or period | Does one report mid-year and the other year-end, or does one cover a full year? |
| Collection method | Was it a census, survey, administrative register, border record, or modeled combination? |
| Edition and revisions | Are the datasets from different releases or methodological vintages? |
| Completeness and detail | Are missing countries, age groups, statuses, or undocumented populations treated differently? |
If the figures still differ after this check, report both with their definitions and methods. UN DESA notes that migration data can be incomplete or out of date, while ONS documents assumptions in producing timely estimates. A disagreement is often a difference in scope or method, not proof that one publisher acted improperly.
Worked examples of careful wording
A global migrant-stock figure
IOM’s World Migration Report 2026 chapter reports around 304 million international migrants worldwide by mid-2024. Keep “around,” the mid-2024 date, and the international-migrant-stock context attached to the number. It is not an annual arrival flow, an asylum-application total, or a count of displaced people. If you compare it with a national statistic, first verify that the national figure uses a comparable population definition and reference date.
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A coverage statement
It is accurate to say that UN DESA’s 2024 migrant-stock dataset covers 233 countries and areas for 1990–2024. That number describes the dataset’s geographic coverage; it is not the number of countries with a census or the number of migration events.
A revision statement
It is accurate to say that UN DESA fully reassessed 60 countries and areas in the 2024 edition using new empirical information, while estimates for the remainder were extrapolated from the 2020 edition. Do not generalize the reassessment to every country in the table.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Communicate the result without misleading readers
Use the source’s precision level. “Around 304 million” should not become “304,000,000 exactly.” Put the reference date in the sentence, table heading, or chart label. If a number is revised, name the edition. If a category is narrow, name it every time it matters to interpretation.
- Prefer “UN DESA estimates the international migrant stock at…” over “there are exactly…”
- Prefer “ONS’s long-term migration estimate records flows…” over “the migrant population is…”
- Prefer “UNHCR reports asylum applications” or “refugee populations” with the relevant period over “refugees” as a catch-all.
- Say when a source’s definition, period, or method is unclear; do not silently fill the gap.
- Do not combine a stock denominator with a flow numerator to imply a rate unless the publisher defines that calculation.
For a non-specialist audience, define the term at first use and show the unit. UNICEF and UNSD’s 2026 guidance, Communicating about Migration Statistics, emphasizes neutrality, transparency, and statistical integrity. Clear labels are part of accuracy, not an optional design feature.
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When combining sources is the only practical option
One source rarely answers every migration question. A national register may provide timely flows but omit people outside the registration system. A census may offer detailed stock information but occur only every several years. An international dataset may provide comparable coverage while modeling places with limited empirical data.
UNECE’s Guidance on Data Integration for Measuring Migration states: “There is no single source that can provide such data, but by combining several sources together it might be possible to produce the information that users need.” Combining sources does not mean adding their totals. It means designing a documented method that resolves overlaps, incompatible definitions, different dates, and missing groups.
Checks before integration
- Confirm that the sources describe compatible populations and geographic units.
- Align reference dates or explain why alignment is impossible.
- Document deduplication, linkage, imputation, and weighting assumptions.
- Protect privacy and confidentiality, especially when records can identify individuals or small groups.
- Publish a sensitivity or limitation note when the combined result depends strongly on assumptions.
IOM’s 2026 Essentials of Migration Data guide is a 168-page reference on source strengths and weaknesses, stock-versus-flow data, communication, privacy, and confidentiality. It is a learning resource; its publication record does not establish a physical edition or retail availability.
A one-minute checklist for readers and editors
- Can I state who is counted without using the vague word “migrants”?
- Is this a stock, flow, application, decision, rate, share, or displacement estimate?
- What country or region is covered, and what is excluded?
- What exact date or period does the number describe?
- Which organization produced it, and have I reached the original dataset?
- Is the figure a direct count, survey result, administrative record, model, or extrapolation?
- Which edition and revision status am I using?
- Am I comparing it with another figure that uses the same definition, measure, geography, date, and method?
- Have I preserved qualifiers such as “around,” “estimated,” and “preliminary”?
- Does my wording distinguish migrants, asylum applicants, refugees, and internally displaced people?
If any answer is no, pause before repeating the claim. A careful qualification is more informative than a confident number stripped of its meaning.
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