H-DAV NDMC EPHI

Ethiopia Demographic and Health Survey 2024-25 – Birth Record


Description
Id EPHI-DS0638
Name Ethiopia Demographic and Health Survey 2024-25 – Birth Record
Format .dta
Coverage Location National
Coverage Sex Both
Abstract

The Birth Recode (BR) dataset is one of the standard recode datasets of the Ethiopia Demographic and Health Survey (EDHS) 2024–25 (DHS-V8). The dataset contains different variables and is structured to provide birth-level information derived from the birth history reported by eligible women aged 15–49 years. The EDHS 2024–25 was conducted nationally by the Ethiopian Statistical Service (ESS) between July 2024 and April 2025.

The unit of analysis in the BR dataset is the birth, rather than the individual woman or household. Each record represents a birth reported in the birth history, allowing information about individual births to be linked to the mother and her household. The dataset follows the DHS-VIII recode structure and uses identification and birth-history variables to organize and distinguish births within each woman's reproductive history. In particular, the birth-history structure includes birth-specific variables and indices that allow researchers to identify and analyze individual births and their characteristics.

The BR dataset contains information related to birth outcomes, birth timing, birth order, sex of the child, survival status, age and characteristics of the child, and maternal characteristics associated with each birth. It also provides information that can be used to examine reproductive histories and selected maternal and child health indicators. The documentation specifically identifies an Index to Birth History within the survey-specific modules, demonstrating the linkage of country-specific information to individual birth records.

The dataset also supports analysis of selected maternal and child health-related information. Country-specific sections include information on pregnancy and postnatal care, pregnancy complications, family planning received following birth, and child immunization. For example, the documentation includes variables describing pregnancy complications such as vaginal bleeding, vaginal fluid leakage, severe headache, blurred vision, fever, and abdominal pain, as well as variables concerning family-planning methods received during the first two days after birth.
The BR dataset also includes information relevant to child immunization, including variables related to receipt and timing of specific vaccines such as inactivated polio vaccine (IPV).

Overall, the EDHS 2024/25 Birth Recode dataset provides a comprehensive birth-level resource for analyzing fertility and reproductive histories, birth characteristics, maternal and child health, pregnancy and postnatal care, birth outcomes, family planning, and child immunization. Its birth-level structure makes it particularly useful for analyses in which the birth or child is the primary unit of observation while retaining the ability to link birth information to the corresponding mother and household through the DHS identification structure.

Additional Material No
Keywords
  • Ethiopia; EDHS; DHS; survey data
Recommended Yes
Location
Cleaned No
Cleaned Format . csdb
RawFormat . csdb
Comment
Remark
Note
Treatment
Date Data Collection Started 2024-07-04
Date Data Collection End 2025-01-02
Title Ethiopia Demographic and Health Survey 2024-25 – Birth Record
Data Type Laboratory
PublicationYear 2026
SugestedCitation

Ethiopia Demographic and Health Survey 2024-25

OtherIdType
Description

The Birth Recode (BR) dataset is one of the standard recode datasets of the Ethiopia Demographic and Health Survey (EDHS) 2024–25 (DHS-8). The dataset contains Many variables and is structured to provide birth-level information derived from the birth history reported by eligible women aged 15–49 years. The EDHS 2024–25 was conducted nationally by the Ethiopian Statistical Service (ESS) between July 2024 and April 2025.

The unit of analysis in the BR dataset is the birth, rather than the individual woman or household. Each record represents a birth reported in the birth history, allowing information about individual births to be linked to the mother and her household. The dataset follows the DHS-VIII recode structure and uses identification and birth-history variables to organize and distinguish births within each woman's reproductive history. In particular, the birth-history structure includes birth-specific variables and indices that allow researchers to identify and analyze individual births and their characteristics.

The BR dataset contains information related to birth outcomes, birth timing, birth order, sex of the child, survival status, age and characteristics of the child, and maternal characteristics associated with each birth. It also provides information that can be used to examine reproductive histories and selected maternal and child health indicators. The documentation specifically identifies an Index to Birth History within the survey-specific modules, demonstrating the linkage of country-specific information to individual birth records.

The dataset also supports analysis of selected maternal and child health-related information. Country-specific sections include information on pregnancy and postnatal care, pregnancy complications, family planning received following birth, and child immunization. For example, the documentation includes variables describing pregnancy complications such as vaginal bleeding, vaginal fluid leakage, severe headache, blurred vision, fever, and abdominal pain, as well as variables concerning family-planning methods received during the first two days after birth.
The BR dataset also includes information relevant to child immunization, including variables related to receipt and timing of specific vaccines such as inactivated polio vaccine (IPV).

Overall, the EDHS 2024/25 Birth Recode dataset provides a comprehensive birth-level resource for analyzing fertility and reproductive histories, birth characteristics, maternal and child health, pregnancy and postnatal care, birth outcomes, family planning, and child immunization. Its birth-level structure makes it particularly useful for analyses in which the birth or child is the primary unit of observation while retaining the ability to link birth information to the corresponding mother and household through the DHS identification structure.

Dataset study design Cross-sectional survey
Date Data Archived 2026-07-03
Date Data Cataloged 2026-10-03
Data Generating Unit CSA
URL https://rtds.ephi.gov.et/public/showdetail/638

Tags
Published

Open Access