How Well Do Gridded Population Estimates Proxy for Actual Population Changes? Evidence From China
Bibliographic Data
| ID | 5653626 |
|---|---|
| Authors | Xiaoxuan Zhang (0009-0002-1524-5038), John Gibson (0000-0003-3886-6873) |
| Year | 2025 |
| Volume | 51 |
| Issue | 4 |
| Pages | 1402-1434 |
| Publication date | 2025-10-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Population and Development Review (JOURNAL) |
| Journal identifiers | ISSN: 0098-7921 • E-ISSN: 1728-4457 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/padr.70025 |
| OpenAlex | W4414952052 |
| Language | EN |
| Citations received | 1 |
| References cited | 91 |
High-resolution gridded population estimates increasingly support research. They allow study at a finer spatial scale than the usual survey or administrative data (spatialization) and higher frequency than typical decadal census data (temporal interpolation). However, little is known about how accurately these gridded data follow actual changes in population. Therefore, we use China's census data for 2000, 2010, and 2020 to test the predictive accuracy of four popular gridded population data products, conducting our tests at three spatial levels (county/district, prefectural city, and province). Although gridded estimates understate inequality in the population spatial distribution, they fairly accurately predict cross-sectionally at all three spatial levels, with under 5 percent of variation unexplained. They far less accurately predict temporal changes in population, especially for disaggregated spatial units (counties and districts), with less than one-fifth of the variation in population changes predicted by the gridded data. Predictive accuracy of gridded data for population changes has fallen substantially in the last decade. We show how these inaccurate predictions could distort analyses that rely on population estimates to examine trends in spatial inequality. Overall, our results suggest that caution is required in using these gridded data products as proxies for the actual changes in local population
Census · China · Population · Proxy (statistics) · Scale (ratio) · Spatial ecology · Spatial variability · China's Socioeconomic Reforms and Governance · Demographic Trends and Gender Preferences · Migration and Labor Dynamics
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |