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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2018-11-2-17-28</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-418</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GEOGRAPHY</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>География</subject></subj-group></article-categories><title-group><article-title>A NOVEL METHODOLOGICAL APPROACH OF ESTIMATING URBAN POPULATION IN NIGERIA</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Olorunfemi</surname><given-names>Jacob F.</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D. (1980) in Geography, Department of Geography and Environmental Management.</p><p>Ilorin</p></bio><email xlink:type="simple">funsofem@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Fashagba</surname><given-names>Irewolede</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D. degree in Geography, Department of Geography and Environmental Management.</p><p>Ilorin</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>University of Ilorin</institution><country>Nigeria</country></aff><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>28</day><month>06</month><year>2018</year></pub-date><volume>11</volume><issue>2</issue><fpage>17</fpage><lpage>28</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Olorunfemi J.F., Fashagba I., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Olorunfemi J.F., Fashagba I.</copyright-holder><copyright-holder xml:lang="en">Olorunfemi J.F., Fashagba I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ges.rgo.ru/jour/article/view/418">https://ges.rgo.ru/jour/article/view/418</self-uri><abstract><p>The primary source of population data in Nigeria is the census despite its inconsistency. Consequently, efforts made to estimate population from such census figures and sometimes vital registration system has proved inadequate because of diverse problems. This study is aimed at developing a technique of population estimation in Nigeria using symptomatic data. The data for this study were collected through survey method, immunization and school enrolment data were collected from the Expanded Programme on Immunization and Ministry of Education, respectively. The average number of people per house or crowding index (CI) for Kabba was combined with immunization and school enrolment to establish a relationship which was subsequently used in regression analysis to estimate population. The results show that the population of Kabba and Kogi State were 70,870 and 4,230,382, respectively. 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