Our Mission & Our Approach
Our Mission
To seek out trusted and reliable sources, compile the most accurate and up-to-date data available, and present that data with an emphasis on transparency and accessibility.
Where Our Data Comes From
Trusted Authoritative Sources
We rely upon authoritative sources with proven trustworthiness, such as the World Bank, the United Nations Food and Agriculture Organization, the U.S. Census Bureau, and the Pew Research Center.
United Nations
US Census Bureau
American Community Survey
Pew Research Center
Secondary Sources
In some cases, a secondary source has compiled and/or analyzed data into a new form. For example, a real estate site may use official census data to create a list of fastest-growing cities, or a reference site may compile data from multiple reliable primary sources into a single list (as we at WPR often do). In these instances, we confirm the data with the original source(s), confirm the secondary source's methodology, and link to both the primary and secondary sources.
WPR avoids data that cannot be traced back to a reliable original source and verified.
Update Frequency
Update frequency varies by page topic, dataset, and how often new data become available. Additional factors include source availability, release schedules, and whether new data have been published. Pages which include annual data (such as crop yields or yearly financial reports) are updated at least once per year.
Missing or Conflicting Data
Occasionally, we encounter a data set that originates from a trusted source, but which is nonetheless incomplete or which contradicts another data set. In such cases, we present incomplete data sets as-is, trusting the original source's reasoning (though we may also consult said source to confirm any omissions are deliberate).
Similarly, if conflicting data sets all come from reputable primary sources, our policy is to include all the data, acknowledging that apparent conflicts are usually the result of differing methodologies rather than errors, and let the reader see the full breadth of possibilities among the data.
In the very rare event that a primary source's data does include an inaccuracy, we review the original source data, compare it to parallel data from any available trustworthy alternate sources, and either correct or exclude the inaccurate data and clearly note the issue for the reader.
How We Estimate Populations
When direct population counts aren't available, we use statistical models and trend analyses based on:
Recent Census Data & Projections
Birth & Death Rate Models
Data Integrity Principles
World Population Review adheres to four core principles:
Fact-Checking and Corrections
Our best practices start with locating the relevant data and tracing it back to its original, primary source. The data then undergo an additional round of review, fact-checking, and verification. If errors or inaccuracies are encountered, we investigate and correct confirmed errors before publication on WPR.
How to Report an Error
Even the most finely-tuned system can fall short of perfection. In addition to our own internal fact-checking processes, every page on WPR includes a "Contact" link readers can use to call our attention to anything that seems amiss (please include the page title or URL). Our research team will investigate the claim by rechecking original sources, seeking out new sources, and validating all data in question. Once the correct values have been confirmed, we'll correct any inaccuracies, from editing a single datum to updating the entire page, as quickly and accurately as possible.
Understanding Data Limitations
Population data are often imperfect. Discrepancies can arise from real-world challenges such as refugee migration, armed conflict, and underreporting. Methodological differences including unsynchronized census timing, differing definitions, and variances in reporting processes can make country-to-country comparisons challenging. We acknowledge these limitations and apply rigorous methods to ensure our data remain as reliable as possible.
Governments and institutions strive for accuracy, but real-world challenge, such as migration, conflict, and underreporting, can create discrepancies in population figures. At World Population Review, we acknowledge these limitations and apply rigorous methods to ensure our data remains as reliable as possible.
Factors That Affect Population Data Accuracy
- Outdated Census Reports
- Many countries conduct censuses only once per decade, meaning figures may not reflect recent demographic shifts.
- Political & Reporting Biases
- Some governments underreport or overreport populations for political, economic, or social reasons.
- Incomplete or Missing Data
- In regions with limited infrastructure, accurate counts may be unavailable, so statistical modeling is used to fill in the gaps.
- Differing Definitions
- The meaning of terms such as "urban population" or "household size" can vary by country, impacting global comparisons.
How We Make Money
100% of our revenue comes from the advertisements displayed on our pages. Ad purchases are completely independent of the editorial process and do not grant the advertiser any form of influence over data, rankings, article content, or coverage decisions. Beyond the aforementioned advertisements, WPR accepts no funding from any business, corporation, or government agency.