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Background: Delay in receiving immunization is a major public health problem that has been associated with vaccine-preventable disease epidemics. In Ethiopia, many children have not received the benefits of age-appropriate immunization; thus more than 90% of child deaths are largely due to preventable communicable diseases. Therefore, the aim of this study to assess the magnitude and factors associated with delayed immunization among 12 -23 months old children’s in Edagahamus Town, Tigray, Ethiopia, and 2018 G.C. Methods: A community-based Cross-Sectional study was carried out on July1-30, 2018. A simple random sampling method was used to select study participants. Information was collected using a structured, pre-tested questionnaire. Vaccination dates were obtained from children’s immunization cards and timeliness assessed based on the recommended age ranges. Data were entered and analyzed using SPSS version 20.0. Variable with P-value < 0.2 in bivariate was exported to multivariate. The strength of association was identified using the odds ratio with a 95 % confidence interval (CI) and the P-value of

Background Delay in receiving immunization is a major public health problem that has been associated with vaccine preventable disease epidemics. In Ethiopia, many children have not received the benefits of age appropriate immunization; thus more than 90% of child deaths are largely due to preventable communicable diseases. Therefore, assessment of magnitude and associated factors of delayed child immunization is essential to prevent morbidity and mortality among children. Objective To assess magnitude and factors associated with delayed immunization among 11 -23 months old children in Edagahamus Town, Tigray, Ethiopia, 2018 G.C. Method and materials A community based Cross-Sectional study was carried out on July1-30, 2018. Simple random sampling method was used to select study participants. Information was collected using structured, pre-tested questionnaire. Vaccination dates were obtained from children immunization cards and timeliness assessed based on the recommended age ranges. Data were entered and analyzed using SPSS version 20.0. Variable with P-value < 0.2 in bivariatewere exported to multivariate. The strength of association was identified using odds ratio with 95% confidence interval (CI) and P-value of