{'fraction_non_alphanumeric': 0.02111801242236025, 'fraction_numerical': 0.0, 'mean_word_length': 5.296875, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Small-Area Estimation : Theory and Practice

Small area estimation (SAE) was first studied at Statistics Canada in the seventies. Small area estimates have been produced using administrative files or surveys enhanced with administrative auxiliary data since the early eighties. In this paper we provide a summary of existing procedures for producing official small-area estimates at Statistics Canada, as well as a summary of the ongoing research. The use of these techniques is provided for a number of applications at Statistics Canada that include: the estimation of health statistics; the estimation of average weekly earnings; the estimation of under-coverage in the census; and the estimation of unemployment rates. We also highlight problems for producing small-area estimates for business surveys.