Socio-demographic characteristics of participating women in Borena District, Amhara Region, Ethiopia, 2020 (n = 369).

Socio-demographic characteristics of participants among health care providers in Amhara region, Ethiopia, 2020.

Name and location of selected public health facilities in Amhara region, Ethiopia, 2020.

Abstract

This dataset presents findings from the 2023 Standardized Expanded Nutrition Survey (SENS) conducted at the Alemwach refugee site in Ethiopia’s Amhara region. Established in 2020, Alemwach hosts Eritrean refugees relocated from northern Tigray due to conflict. The survey, led by UNHCR and RRS in collaboration with government and partner organizations, aimed to assess the health, nutrition, food security, and WASH conditions of the refugee population. Using the SENS Version 3 (2018) and SMART methodology, data were collected through face-to-face interviews with households selected via simple random sampling. As of December 1, 2023, Alemwach hosted 21,557 individuals, including 1,940 children under five (9% of the population). The anonymized dataset supports evidence-based planning and targeted interventions to address the essential needs of refugees residing in Alemwach.

Geographic coverage

Alemwach Refugee Camp.

Analysis unit

Household

Universe

Refugees and asylum seekers residing in Alemwach Refugee Camp.

Kind of data

Sample survey data [ssd]

Sampling procedure

A simple random sampling strategy was applied to select households within the Alemwach refugee site. The sample size was calculated using UNHCR SENS Version 3 (2018) guidelines, taking into account estimated prevalence rates, desired precision, and design effect. The survey team conducted household listing prior to selection to ensure a complete sampling frame.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire followed the Standardized Expanded Nutrition Survey (SENS) Version 3 (2018) tools, covering modules on household demographics, child anthropometry, health, food security, and water, sanitation and hygiene (WASH).

Socio-demographic characteristics of the study participants in Amhara region referral hospitals, 2019/20 (n = 200).

Abstract

This survey was conducted as part of a review of the different civil service reform tools in Ethiopia, to assess what has been achieved, and what to consider next. The review aimed to take stock of what has been done, identify remaining and potential new challenges, and draw lessons, as well as suggest recommendations on how to move further ahead in the coming years to foster a fair, responsible, efficient, ethical, and transparent civil service. A survey of civil servants at the Federal, Regional and Woreda levels was implemented that focused on five sectors, namely, agriculture, education, health, revenue administration, and trade.

The aim of the Ethiopia Civil Servant Survey was to gather micro-level data on the perceptions and experiences of civil servants, and on the key restraints to civil servants performing their duties to the best of their abilities, and to the provision of public goods. This civil servant survey aimed to contribute to the development of diagnostic tools which would allow to better understand the incentive environments which lead to different types of behavior and the determinants of service delivery in the civil service.

Report available at: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/981311547566282423/moving-further-on-civil-service-reforms-in-ethiopia-findings-and-implications-from-a-civil-service-survey-and-qualitative-analysis

Geographic coverage

At the Federal level 330 individuals were planned to be interviewed; 550 at the Region level (Harar, Afar, SNNPR, Oromiya, Amhara, Dire Dawa, Addis Ababa, Benishangul, Somali, Tigray, Gambella); and 1615 at the Woreda (66 Woredas) level. Within each region 50 individuals were targeted to be interviewed, except in Addis Ababa, where the target was 40 due to not having an agriculture bureau, and except in Oromiya, where, due to additional funds becoming available, the target became 60. Within each Woreda, 25 individuals were planned to be sampled.

Analysis unit

Public servants, including managers and non-managers at the Federal, Regional and Woreda levels.

Kind of data

Aggregate data [agg]

Sampling procedure

To provide a large sample for statistical analysis, while remaining within budget, the Ethiopian civil servants survey focused on the three major policy making tiers of government: Federal; Regional; and Woreda. The Ministry of Public Sector and Human Resource Development identified the 5 core sectors that the survey should include: agriculture, education, health, revenue, and trade. The decision was made then to plan to interview a sufficient number of individuals from each of those tiers and allocate the remaining funds to Woreda-level interviews. With this methodology, with the funds available, 70 Woredas were included in the target sample at the planning stage. At the Federal level 330 individuals were planned to be interviewed; 550 at the Region level; and 1615 at the Woreda level. Within each region 50 individuals were targeted to be interviewed, except in Addis Ababa, where the target was 40 due to not having an agriculture bureau, and except in Oromiya, where, due to additional funds becoming available, the target became 60. Within each Woreda, 25 individuals were planned to be sampled.

Stratified randomization was conducted to select 70 Woredas from the 9 regional states in a way that is proportional to the size of the region (in terms of number of Woredas as per the 2007 census). However, 4 Woredas were dropped due to security challenges.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey questionnaire comprises following modules: 1- Cover page, 2- Demographic and work history information, 3- Management practices, 4- Turnover, 5- Recruitment and selection, 6- Attitude, 7- Time use and bottlenecks, 8- Information, 9- Information technology, 10- Stakeholder engagement, 11- Reforms, and 12- Woreda and city benchmarking.

The questionnaire was prepared in English and Amharic.

Response rate

Response rate was 88%.

Abstract

The Ethiopian Socioeconomic Survey (ESS) is a collaborative project between the Central Statistics Agency (CSA) of Ethiopia and the World Bank Living Standards Measurement Study- Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic panel household level data with a special focus on improving agriculture statistics and the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology.

The specific objectives of the ESS are:

• Development of an innovative model for collecting agricultural data in conjunction with household data;
• Strengthening the capacity to generate a sustainable system for producing accurate and timely information on agricultural households in Ethiopia;
• Development of a model of inter-institutional collaboration between the CSA and relevant federal and local government agencies as well as national and international research and development partners; and
• Comprehensive analysis of household income, well-being, and socio-economic characteristics of households in rural areas and small towns.

The ESS contains several innovative features:

• Integration of household welfare data with agricultural data;
• Creation of a panel data set that can be used to study welfare dynamics, the role of agriculture in development and the changes over time in health, education and labor activities, inter alia;.
• Collection of information on the network of buyers and sellers of goods with which the household interacts;
• Expanding the use of GPS units for measuring agricultural land areas;
• Involvement of multiple actors in government, academia and the donor community in the development of the survey and its contents as well as its implementation and analysis;
• Creation of publicly available micro data sets for researchers and policy makers;

Geographic coverage

National Coverage.

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

ESS is designed to collect panel data in rural and urban areas on a range of household and community level characteristics linked to agricultural activities. The first wave was implemented in 2011-12 and the second wave is implemented in 2013-14. The first wave, ERSS, covered only rural and small town areas. The second wave, ESS, added samples from large town areas. The second wave is nationally representative. The existing panel data (2011/12-2013/14) is only for rural and small towns. Large towns were added during the second wave and, so far, there is only one round. The planned follow-up ESS surveys will continue to be nationally representative. The ESS sample size provides estimates at the national level for rural and small town households. At the regional level, it provides estimates for five regions including Addis Ababa, Amhara, Oromiya, SNNP, and Tigray.

The sample is a two-stage probability sample. The first stage of sampling entailed selecting primary sampling units, which are a sample of the CSA enumeration areas (EAs). A total of 433 EAs were selected based on probability proportional to size of the total EAs in each region. For the rural sample, 290 EAs were selected from the AgSS EAs. For small town EAs, a total of 43 EAs and for large towns 100 EAs were selected. In order to ensure sufficient sample in the most populous regions (Amhara, Oromiya, SNNP, and Tigray) and Addis Ababa, quotas were set for the number of EAs in each region. The sample is not representative for each of the small regions including Afar, Benshangul Gumuz, Dire Dawa, Gambella, Harari, and Somalie regions. However, estimates can be produced for a combination of all smaller regions as one "other region" category.

During the second wave 100 urban EAs were added. The addition also included one more region to the sample, Addis Ababa. In each EA 15 households were selected. The addition of urban EAs increased the sample size from 333 to 433 EAs or from about 3,969 to 5,469 households.

The second stage of sampling was the selection of households to be interviewed in each EA. For rural EAs, a total of 12 households are sampled in each EA. Of these, 10 households were randomly selected from the sample of 30 AgSS households. The AgSS households are households which are involved in farming or livestock activities. Another 2 households were randomly selected from all other non-agricultural households in the selected rural EA (those not involved in agriculture or livestock). In some EAs, there is only one or no such households, in which case, less than two non-agricultural households were surveyed and more agricultural households were interviewed instead so that the total number of households per EA remains the same.

In the small town EAs, 12 households are selected randomly from the listing of each EA, with no stratification as to whether the household is engaged in agriculture/livestock. The same procedure is followed in the large town EAs. However, 15 households were selected in each large town EA.

Households were not selected using replacement. Thus, the final number of household interviewed was slightly less than the 5,469 as planned in the design. A total of 3,776 panel households and 1,486 new households (total 5,262 households) were interviewed with a response rate of 96.2 percent.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

The interviews were carried out using paper and pen interviewing method. However, a concurrent data entry arrangement was introduced in this wave. In this arrangement, the enumerators did not wait until all the interviews were completed. Rather, once the enumerators completed some 3 to 4 questionnaires, the supervisors collected those completed interviews from the enumerators and brought them to the branch offices for data entry, while the enumerators are still conducting interviews with other households. Then questionnaires are keyed at the branch offices as soon as they are completed using CSPro data entry application software. The data from the completed questionnaires are then checked for any interview or data entry errors using a stata program. Data entry errors are checked with the data entry clerks and the interview errors are then sent to back to the field for correction and feedback to the ongoing interviews. Several rounds of this process were undertaken until the final data files are produced. In addition, after the fieldwork was completed the paper questionnaires were sent to the CSA headquarters in Addis Ababa for further checking. Additional cleaning was carried out, as needed, by checking the hard copies.

Response rate

Response rate was 96.2 percent.

Socio-demographic characteristics of HIV positive women at PMTCT in the hospital of Eastern Amhara, Ethiopia 2020.

Socio-demographic characteristics of the study participants in governmental referral hospital, Amhara Region, Northwest Ethiopia 2020 (n = 482).

Socio-demographic characteristics of health workers in the Amhara region, 2020 (N = 418).

Socio-demographic characteristics of mothers who gave birth in North Shoa Zone Hospitals, Amhara Region, Ethiopia, 2020.

Socio-demographic characteristics of mothers/caregivers and children in Worebabo district, Amhara region, Ethiopia, 2020.

Participants Socio-demographic, family-related characteristics in Mekdela secondary school girls, Amhara Regional State, Northeast Ethiopia, 2020 (n = 441).

Database for National noma cases who have undergone reconstructive surgery in Ethiopia from 2015 to 2020.