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Background: Age is an important variable in epidemiological studies and an invariable part of community-based study reports. Aims: The aim was to assess the accuracy of age data collected during community surveys. Settings and Design: A cross-sectional study was designed in rural areas of the Yavatmal district. Materials and Methods: Age data were collected by a house-to-house survey in six villages. An open-ended questionnaire was used for data collection. Statistical Analysis: Age heaping and digit preference were measured by calculating Whipple's index and Myers' blended index. Age Ratio Scores (ARS) and Age Accuracy Index (AAI) were also calculated. Results: Whipple's index for the 10-year age range, i.e., those reporting age with terminal digit "0" was 386.71. Whipple's index for the 5-year range, i.e., those reporting age with terminal digit 0' or '5' was 382.74. Myer's blended index calculated for the study population was 41.99. AAI for the population studied was 14.71 with large differences between frequencies of males and females at certain ages. Conclusion: The age data collected in the survey were of very poor quality. There was age heaping at ages with terminal digits '0' and '5', indicating a preference in reporting such ages and 42% of the population reported ages with an incorrect final digit. Innovative methods in data collection along with measuring and minimizing errors using statistical techniques should be used to ensure the accuracy of age data which can be checked using various indices. [ABSTRACT FROM AUTHOR]

Age misreporting is a common phenomenon in Demographic and Health Surveys, and there are numerous reasons for this. The trend and pattern of disparity in age heaping vary between countries. The present study assesses age heaping in the selected South Asian countries of Afghanistan, India, Nepal, Bangladesh and Pakistan using data from the most recent round of the Demographic and Health Survey. The respondent sample sizes were 203,703 for Afghanistan, 2,869,043 for India, 49,064 for Nepal, 81,618 for Bangladesh and 100,868 for Pakistan. Age heaping was assessed by respondent's age, education level, sex and level of education. Whipple's index was calculated to assess systematic heaping on certain ages as a result of digit preference. Bangladesh, Afghanistan and India showed stronger preference for ages ending with the digits '0' and '5' compared with Pakistan and Nepal among uneducated respondents. On the other hand, strong avoidance of ages ending in the digits '1', '4' and '9' was observed in Bangladesh, Afghanistan and India. However, urban-rural place of residence was not found to be associated with digit preference in the study countries. Among males, age misreporting with the final digits '0' and '5' was highest in Bangladesh, followed by Afghanistan and India, and Nepal showed the least displacement. Strong digit preference and avoidance, and upper age displacement, were witnessed in the surveys conducted in Bangladesh, Afghanistan and India on the parameters of sex and education level. Innovative methods of data collection with the measurement and minimization of errors using statistical techniques should be used to ensure accuracy of age data.